Merge pull request #537 from gcarq/feature/objectify

Switch from procedural code to object + Code coverage 99.09%

bin/freqtrade

@@ -1,4 +1,7 @@
 #!/usr/bin/env python3
 
-from freqtrade.main import main
-main()
+import sys
+
+from freqtrade.main import main, set_loggers
+set_loggers()
+main(sys.argv[1:])

freqtrade/analyze.py

@@ -1,26 +1,43 @@
 """
 Functions to analyze ticker data with indicators and produce buy and sell signals
 """
-import logging
-from datetime import timedelta
+from datetime import datetime, timedelta
 from enum import Enum
-from typing import Dict, List
+from typing import Dict, List, Tuple
 
 import arrow
 from pandas import DataFrame, to_datetime
 
 from freqtrade.exchange import get_ticker_history
+from freqtrade.logger import Logger
+from freqtrade.persistence import Trade
 from freqtrade.strategy.strategy import Strategy
 
-logger = logging.getLogger(__name__)
-
 
 class SignalType(Enum):
-    """ Enum to distinguish between buy and sell signals """
+    """
+    Enum to distinguish between buy and sell signals
+    """
     BUY = "buy"
     SELL = "sell"
 
 
+class Analyze(object):
+    """
+    Analyze class contains everything the bot need to determine if the situation is good for
+    buying or selling.
+    """
+    def __init__(self, config: dict) -> None:
+        """
+        Init Analyze
+        :param config: Bot configuration (use the one from Configuration())
+        """
+        self.logger = Logger(name=__name__, level=config.get('loglevel')).get_logger()
+
+        self.config = config
+        self.strategy = Strategy(self.config)
+
+    @staticmethod
     def parse_ticker_dataframe(ticker: list) -> DataFrame:
         """
         Analyses the trend for the given ticker history
@@ -36,8 +53,7 @@ def parse_ticker_dataframe(ticker: list) -> DataFrame:
         frame.sort_values('date', inplace=True)
         return frame
 
-
-def populate_indicators(dataframe: DataFrame) -> DataFrame:
+    def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
         """
         Adds several different TA indicators to the given DataFrame
 
@@ -45,78 +61,145 @@ def populate_indicators(dataframe: DataFrame) -> DataFrame:
         you are using. Let uncomment only the indicator you are using in your strategies
         or your hyperopt configuration, otherwise you will waste your memory and CPU usage.
         """
-    strategy = Strategy()
-    return strategy.populate_indicators(dataframe=dataframe)
+        return self.strategy.populate_indicators(dataframe=dataframe)
 
-
-def populate_buy_trend(dataframe: DataFrame) -> DataFrame:
+    def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
         """
         Based on TA indicators, populates the buy signal for the given dataframe
         :param dataframe: DataFrame
         :return: DataFrame with buy column
         """
-    strategy = Strategy()
-    return strategy.populate_buy_trend(dataframe=dataframe)
+        return self.strategy.populate_buy_trend(dataframe=dataframe)
 
-
-def populate_sell_trend(dataframe: DataFrame) -> DataFrame:
+    def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
         """
         Based on TA indicators, populates the sell signal for the given dataframe
         :param dataframe: DataFrame
         :return: DataFrame with buy column
         """
-    strategy = Strategy()
-    return strategy.populate_sell_trend(dataframe=dataframe)
+        return self.strategy.populate_sell_trend(dataframe=dataframe)
 
+    def get_ticker_interval(self) -> int:
+        """
+        Return ticker interval to use
+        :return: Ticker interval value to use
+        """
+        return self.strategy.ticker_interval
 
-def analyze_ticker(ticker_history: List[Dict]) -> DataFrame:
+    def analyze_ticker(self, ticker_history: List[Dict]) -> DataFrame:
         """
         Parses the given ticker history and returns a populated DataFrame
         add several TA indicators and buy signal to it
         :return DataFrame with ticker data and indicator data
         """
-    dataframe = parse_ticker_dataframe(ticker_history)
-    dataframe = populate_indicators(dataframe)
-    dataframe = populate_buy_trend(dataframe)
-    dataframe = populate_sell_trend(dataframe)
+        dataframe = self.parse_ticker_dataframe(ticker_history)
+        dataframe = self.populate_indicators(dataframe)
+        dataframe = self.populate_buy_trend(dataframe)
+        dataframe = self.populate_sell_trend(dataframe)
         return dataframe
 
-
-# FIX: Maybe return False, if an error has occured,
-#      Otherwise we might mask an error as an non-signal-scenario
-def get_signal(pair: str, interval: int) -> (bool, bool):
+    def get_signal(self, pair: str, interval: int) -> Tuple[bool, bool]:
         """
         Calculates current signal based several technical analysis indicators
         :param pair: pair in format BTC_ANT or BTC-ANT
+        :param interval: Interval to use (in min)
         :return: (Buy, Sell) A bool-tuple indicating buy/sell signal
         """
         ticker_hist = get_ticker_history(pair, interval)
         if not ticker_hist:
-        logger.warning('Empty ticker history for pair %s', pair)
-        return (False, False)  # return False ?
+            self.logger.warning('Empty ticker history for pair %s', pair)
+            return False, False
 
         try:
-        dataframe = analyze_ticker(ticker_hist)
-    except ValueError as ex:
-        logger.warning('Unable to analyze ticker for pair %s: %s', pair, str(ex))
-        return (False, False)  # return False ?
-    except Exception as ex:
-        logger.exception('Unexpected error when analyzing ticker for pair %s: %s', pair, str(ex))
-        return (False, False)  # return False ?
+            dataframe = self.analyze_ticker(ticker_hist)
+        except ValueError as error:
+            self.logger.warning(
+                'Unable to analyze ticker for pair %s: %s',
+                pair,
+                str(error)
+            )
+            return False, False
+        except Exception as error:
+            self.logger.exception(
+                'Unexpected error when analyzing ticker for pair %s: %s',
+                pair,
+                str(error)
+            )
+            return False, False
 
         if dataframe.empty:
-        logger.warning('Empty dataframe for pair %s', pair)
-        return (False, False)  # return False ?
+            self.logger.warning('Empty dataframe for pair %s', pair)
+            return False, False
 
         latest = dataframe.iloc[-1]
 
         # Check if dataframe is out of date
         signal_date = arrow.get(latest['date'])
         if signal_date < arrow.utcnow() - timedelta(minutes=(interval + 5)):
-        logger.warning('Outdated history for pair %s. Last tick is %s minutes old',
-                       pair, (arrow.utcnow() - signal_date).seconds // 60)
-        return (False, False)  # return False ?
+            self.logger.warning(
+                'Outdated history for pair %s. Last tick is %s minutes old',
+                pair,
+                (arrow.utcnow() - signal_date).seconds // 60
+            )
+            return False, False
 
         (buy, sell) = latest[SignalType.BUY.value] == 1, latest[SignalType.SELL.value] == 1
-    logger.debug('trigger: %s (pair=%s) buy=%s sell=%s', latest['date'], pair, str(buy), str(sell))
-    return (buy, sell)
+        self.logger.debug(
+            'trigger: %s (pair=%s) buy=%s sell=%s',
+            latest['date'],
+            pair,
+            str(buy),
+            str(sell)
+        )
+        return buy, sell
+
+    def should_sell(self, trade: Trade, rate: float, date: datetime, buy: bool, sell: bool) -> bool:
+        """
+        This function evaluate if on the condition required to trigger a sell has been reached
+        if the threshold is reached and updates the trade record.
+        :return: True if trade should be sold, False otherwise
+        """
+        # Check if minimal roi has been reached and no longer in buy conditions (avoiding a fee)
+        if self.min_roi_reached(trade=trade, current_rate=rate, current_time=date):
+            self.logger.debug('Required profit reached. Selling..')
+            return True
+
+        # Experimental: Check if the trade is profitable before selling it (avoid selling at loss)
+        if self.config.get('experimental', {}).get('sell_profit_only', False):
+            self.logger.debug('Checking if trade is profitable..')
+            if trade.calc_profit(rate=rate) <= 0:
+                return False
+
+        if sell and not buy and self.config.get('experimental', {}).get('use_sell_signal', False):
+            self.logger.debug('Sell signal received. Selling..')
+            return True
+
+        return False
+
+    def min_roi_reached(self, trade: Trade, current_rate: float, current_time: datetime) -> bool:
+        """
+        Based an earlier trade and current price and ROI configuration, decides whether bot should
+        sell
+        :return True if bot should sell at current rate
+        """
+        current_profit = trade.calc_profit_percent(current_rate)
+        if self.strategy.stoploss is not None and current_profit < self.strategy.stoploss:
+            self.logger.debug('Stop loss hit.')
+            return True
+
+        # Check if time matches and current rate is above threshold
+        time_diff = (current_time.timestamp() - trade.open_date.timestamp()) / 60
+        for duration, threshold in self.strategy.minimal_roi.items():
+            if time_diff <= duration:
+                return False
+            if current_profit > threshold:
+                return True
+
+        return False
+
+    def tickerdata_to_dataframe(self, tickerdata: Dict[str, List]) -> Dict[str, DataFrame]:
+        """
+        Creates a dataframe and populates indicators for given ticker data
+        """
+        return {pair: self.populate_indicators(self.parse_ticker_dataframe(pair_data))
+                for pair, pair_data in tickerdata.items()}

freqtrade/arguments.py

@@ -0,0 +1,251 @@
+"""
+This module contains the argument manager class
+"""
+
+import argparse
+import logging
+import os
+import re
+from typing import List, Tuple, Optional
+
+from freqtrade import __version__
+from freqtrade.constants import Constants
+
+
+class Arguments(object):
+    """
+    Arguments Class. Manage the arguments received by the cli
+    """
+
+    def __init__(self, args: List[str], description: str):
+        self.args = args
+        self.parsed_arg = None
+        self.parser = argparse.ArgumentParser(description=description)
+
+    def _load_args(self) -> None:
+        self.common_args_parser()
+        self._build_subcommands()
+
+    def get_parsed_arg(self) -> argparse.Namespace:
+        """
+        Return the list of arguments
+        :return: List[str] List of arguments
+        """
+        if self.parsed_arg is None:
+            self._load_args()
+            self.parsed_arg = self.parse_args()
+
+        return self.parsed_arg
+
+    def parse_args(self) -> argparse.Namespace:
+        """
+        Parses given arguments and returns an argparse Namespace instance.
+        """
+        parsed_arg = self.parser.parse_args(self.args)
+
+        return parsed_arg
+
+    def common_args_parser(self) -> None:
+        """
+        Parses given common arguments and returns them as a parsed object.
+        """
+        self.parser.add_argument(
+            '-v', '--verbose',
+            help='be verbose',
+            action='store_const',
+            dest='loglevel',
+            const=logging.DEBUG,
+            default=logging.INFO,
+        )
+        self.parser.add_argument(
+            '--version',
+            action='version',
+            version='%(prog)s {}'.format(__version__),
+        )
+        self.parser.add_argument(
+            '-c', '--config',
+            help='specify configuration file (default: %(default)s)',
+            dest='config',
+            default='config.json',
+            type=str,
+            metavar='PATH',
+        )
+        self.parser.add_argument(
+            '-d', '--datadir',
+            help='path to backtest data (default: %(default)s',
+            dest='datadir',
+            default=os.path.join('freqtrade', 'tests', 'testdata'),
+            type=str,
+            metavar='PATH',
+        )
+        self.parser.add_argument(
+            '-s', '--strategy',
+            help='specify strategy file (default: %(default)s)',
+            dest='strategy',
+            default='default_strategy',
+            type=str,
+            metavar='PATH',
+        )
+        self.parser.add_argument(
+            '--dynamic-whitelist',
+            help='dynamically generate and update whitelist \
+                                  based on 24h BaseVolume (Default 20 currencies)',  # noqa
+            dest='dynamic_whitelist',
+            const=Constants.DYNAMIC_WHITELIST,
+            type=int,
+            metavar='INT',
+            nargs='?',
+        )
+        self.parser.add_argument(
+            '--dry-run-db',
+            help='Force dry run to use a local DB "tradesv3.dry_run.sqlite" \
+                                  instead of memory DB. Work only if dry_run is enabled.',
+            action='store_true',
+            dest='dry_run_db',
+        )
+
+    @staticmethod
+    def backtesting_options(parser: argparse.ArgumentParser) -> None:
+        """
+        Parses given arguments for Backtesting scripts.
+        """
+        parser.add_argument(
+            '-l', '--live',
+            help='using live data',
+            action='store_true',
+            dest='live',
+        )
+        parser.add_argument(
+            '-r', '--refresh-pairs-cached',
+            help='refresh the pairs files in tests/testdata with the latest data from Bittrex. \
+                  Use it if you want to run your backtesting with up-to-date data.',
+            action='store_true',
+            dest='refresh_pairs',
+        )
+        parser.add_argument(
+            '--export',
+            help='export backtest results, argument are: trades\
+                  Example --export=trades',
+            type=str,
+            default=None,
+            dest='export',
+        )
+
+    @staticmethod
+    def optimizer_shared_options(parser: argparse.ArgumentParser) -> None:
+        parser.add_argument(
+            '-i', '--ticker-interval',
+            help='specify ticker interval in minutes (1, 5, 30, 60, 1440)',
+            dest='ticker_interval',
+            type=int,
+            metavar='INT',
+        )
+        parser.add_argument(
+            '--realistic-simulation',
+            help='uses max_open_trades from config to simulate real world limitations',
+            action='store_true',
+            dest='realistic_simulation',
+        )
+        parser.add_argument(
+            '--timerange',
+            help='specify what timerange of data to use.',
+            default=None,
+            type=str,
+            dest='timerange',
+        )
+
+    @staticmethod
+    def hyperopt_options(parser: argparse.ArgumentParser) -> None:
+        """
+        Parses given arguments for Hyperopt scripts.
+        """
+        parser.add_argument(
+            '-e', '--epochs',
+            help='specify number of epochs (default: %(default)d)',
+            dest='epochs',
+            default=Constants.HYPEROPT_EPOCH,
+            type=int,
+            metavar='INT',
+        )
+        parser.add_argument(
+            '--use-mongodb',
+            help='parallelize evaluations with mongodb (requires mongod in PATH)',
+            dest='mongodb',
+            action='store_true',
+        )
+        parser.add_argument(
+            '-s', '--spaces',
+            help='Specify which parameters to hyperopt. Space separate list. \
+                  Default: %(default)s',
+            choices=['all', 'buy', 'roi', 'stoploss'],
+            default='all',
+            nargs='+',
+            dest='spaces',
+        )
+
+    def _build_subcommands(self) -> None:
+        """
+        Builds and attaches all subcommands
+        :return: None
+        """
+        from freqtrade.optimize import backtesting, hyperopt
+
+        subparsers = self.parser.add_subparsers(dest='subparser')
+
+        # Add backtesting subcommand
+        backtesting_cmd = subparsers.add_parser('backtesting', help='backtesting module')
+        backtesting_cmd.set_defaults(func=backtesting.start)
+        self.optimizer_shared_options(backtesting_cmd)
+        self.backtesting_options(backtesting_cmd)
+
+        # Add hyperopt subcommand
+        hyperopt_cmd = subparsers.add_parser('hyperopt', help='hyperopt module')
+        hyperopt_cmd.set_defaults(func=hyperopt.start)
+        self.optimizer_shared_options(hyperopt_cmd)
+        self.hyperopt_options(hyperopt_cmd)
+
+    @staticmethod
+    def parse_timerange(text: str) -> Optional[Tuple[List, int, int]]:
+        """
+        Parse the value of the argument --timerange to determine what is the range desired
+        :param text: value from --timerange
+        :return: Start and End range period
+        """
+        if text is None:
+            return None
+        syntax = [(r'^-(\d{8})$', (None, 'date')),
+                  (r'^(\d{8})-$', ('date', None)),
+                  (r'^(\d{8})-(\d{8})$', ('date', 'date')),
+                  (r'^(-\d+)$', (None, 'line')),
+                  (r'^(\d+)-$', ('line', None)),
+                  (r'^(\d+)-(\d+)$', ('index', 'index'))]
+        for rex, stype in syntax:
+            # Apply the regular expression to text
+            match = re.match(rex, text)
+            if match:  # Regex has matched
+                rvals = match.groups()
+                index = 0
+                start = None
+                stop = None
+                if stype[0]:
+                    start = rvals[index]
+                    if stype[0] != 'date':
+                        start = int(start)
+                    index += 1
+                if stype[1]:
+                    stop = rvals[index]
+                    if stype[1] != 'date':
+                        stop = int(stop)
+                return stype, start, stop
+        raise Exception('Incorrect syntax for timerange "%s"' % text)
+
+    def scripts_options(self) -> None:
+        """
+        Parses given arguments for plot scripts.
+        """
+        self.parser.add_argument(
+            '-p', '--pair',
+            help='Show profits for only this pairs. Pairs are comma-separated.',
+            dest='pair',
+            default=None
+        )

freqtrade/configuration.py

@@ -0,0 +1,200 @@
+"""
+This module contains the configuration class
+"""
+
+import json
+from argparse import Namespace
+from typing import Dict, Any
+
+from jsonschema import Draft4Validator, validate
+from jsonschema.exceptions import ValidationError, best_match
+
+from freqtrade.constants import Constants
+from freqtrade.logger import Logger
+
+
+class Configuration(object):
+    """
+    Class to read and init the bot configuration
+    Reuse this class for the bot, backtesting, hyperopt and every script that required configuration
+    """
+    def __init__(self, args: Namespace) -> None:
+        self.args = args
+        self.logging = Logger(name=__name__)
+        self.logger = self.logging.get_logger()
+        self.config = None
+
+    def load_config(self) -> Dict[str, Any]:
+        """
+        Extract information for sys.argv and load the bot configuration
+        :return: Configuration dictionary
+        """
+        self.logger.info('Using config: %s ...', self.args.config)
+        config = self._load_config_file(self.args.config)
+
+        # Add the strategy file to use
+        config.update({'strategy': self.args.strategy})
+
+        # Load Common configuration
+        config = self._load_common_config(config)
+
+        # Load Backtesting
+        config = self._load_backtesting_config(config)
+
+        # Load Hyperopt
+        config = self._load_hyperopt_config(config)
+
+        return config
+
+    def _load_config_file(self, path: str) -> Dict[str, Any]:
+        """
+        Loads a config file from the given path
+        :param path: path as str
+        :return: configuration as dictionary
+        """
+        try:
+            with open(path) as file:
+                conf = json.load(file)
+        except FileNotFoundError:
+            self.logger.critical(
+                'Config file "%s" not found. Please create your config file',
+                path
+            )
+            exit(0)
+
+        if 'internals' not in conf:
+            conf['internals'] = {}
+        self.logger.info('Validating configuration ...')
+
+        return self._validate_config(conf)
+
+    def _load_common_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Extract information for sys.argv and load common configuration
+        :return: configuration as dictionary
+        """
+
+        # Log level
+        if 'loglevel' in self.args and self.args.loglevel:
+            config.update({'loglevel': self.args.loglevel})
+            self.logging.set_level(self.args.loglevel)
+            self.logger.info('Log level set at %s', config['loglevel'])
+
+        # Add dynamic_whitelist if found
+        if 'dynamic_whitelist' in self.args and self.args.dynamic_whitelist:
+            config.update({'dynamic_whitelist': self.args.dynamic_whitelist})
+            self.logger.info(
+                'Parameter --dynamic-whitelist detected. '
+                'Using dynamically generated whitelist. '
+                '(not applicable with Backtesting and Hyperopt)'
+            )
+
+        # Add dry_run_db if found and the bot in dry run
+        if self.args.dry_run_db and config.get('dry_run', False):
+            config.update({'dry_run_db': True})
+            self.logger.info('Parameter --dry-run-db detected ...')
+
+        if config.get('dry_run_db', False):
+            if config.get('dry_run', False):
+                self.logger.info('Dry_run will use the DB file: "tradesv3.dry_run.sqlite"')
+            else:
+                self.logger.info('Dry run is disabled. (--dry_run_db ignored)')
+
+        return config
+
+    def _load_backtesting_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Extract information for sys.argv and load Backtesting configuration
+        :return: configuration as dictionary
+        """
+
+        # If -i/--ticker-interval is used we override the configuration parameter
+        # (that will override the strategy configuration)
+        if 'ticker_interval' in self.args and self.args.ticker_interval:
+            config.update({'ticker_interval': self.args.ticker_interval})
+            self.logger.info('Parameter -i/--ticker-interval detected ...')
+            self.logger.info('Using ticker_interval: %d ...', config.get('ticker_interval'))
+
+        # If -l/--live is used we add it to the configuration
+        if 'live' in self.args and self.args.live:
+            config.update({'live': True})
+            self.logger.info('Parameter -l/--live detected ...')
+
+        # If --realistic-simulation is used we add it to the configuration
+        if 'realistic_simulation' in self.args and self.args.realistic_simulation:
+            config.update({'realistic_simulation': True})
+            self.logger.info('Parameter --realistic-simulation detected ...')
+        self.logger.info('Using max_open_trades: %s ...', config.get('max_open_trades'))
+
+        # If --timerange is used we add it to the configuration
+        if 'timerange' in self.args and self.args.timerange:
+            config.update({'timerange': self.args.timerange})
+            self.logger.info('Parameter --timerange detected: %s ...', self.args.timerange)
+
+        # If --datadir is used we add it to the configuration
+        if 'datadir' in self.args and self.args.datadir:
+            config.update({'datadir': self.args.datadir})
+            self.logger.info('Parameter --datadir detected: %s ...', self.args.datadir)
+
+        # If -r/--refresh-pairs-cached is used we add it to the configuration
+        if 'refresh_pairs' in self.args and self.args.refresh_pairs:
+            config.update({'refresh_pairs': True})
+            self.logger.info('Parameter -r/--refresh-pairs-cached detected ...')
+
+        # If --export is used we add it to the configuration
+        if 'export' in self.args and self.args.export:
+            config.update({'export': self.args.export})
+            self.logger.info('Parameter --export detected: %s ...', self.args.export)
+
+        return config
+
+    def _load_hyperopt_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Extract information for sys.argv and load Hyperopt configuration
+        :return: configuration as dictionary
+        """
+        # If --realistic-simulation is used we add it to the configuration
+        if 'epochs' in self.args and self.args.epochs:
+            config.update({'epochs': self.args.epochs})
+            self.logger.info('Parameter --epochs detected ...')
+            self.logger.info('Will run Hyperopt with for %s epochs ...', config.get('epochs'))
+
+        # If --mongodb is used we add it to the configuration
+        if 'mongodb' in self.args and self.args.mongodb:
+            config.update({'mongodb': self.args.mongodb})
+            self.logger.info('Parameter --use-mongodb detected ...')
+
+        # If --spaces is used we add it to the configuration
+        if 'spaces' in self.args and self.args.spaces:
+            config.update({'spaces': self.args.spaces})
+            self.logger.info('Parameter -s/--spaces detected: %s', config.get('spaces'))
+
+        return config
+
+    def _validate_config(self, conf: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Validate the configuration follow the Config Schema
+        :param conf: Config in JSON format
+        :return: Returns the config if valid, otherwise throw an exception
+        """
+        try:
+            validate(conf, Constants.CONF_SCHEMA)
+            return conf
+        except ValidationError as exception:
+            self.logger.fatal(
+                'Invalid configuration. See config.json.example. Reason: %s',
+                exception
+            )
+            raise ValidationError(
+                best_match(Draft4Validator(Constants.CONF_SCHEMA).iter_errors(conf)).message
+            )
+
+    def get_config(self) -> Dict[str, Any]:
+        """
+        Return the config. Use this method to get the bot config
+        :return: Dict: Bot config
+        """
+        if self.config is None:
+            self.config = self.load_config()
+
+        return self.config

freqtrade/constants.py

@@ -0,0 +1,122 @@
+# pragma pylint: disable=too-few-public-methods
+
+"""
+List bot constants
+"""
+
+
+class Constants(object):
+    """
+    Static class that contain all bot constants
+    """
+    DYNAMIC_WHITELIST = 20  # pairs
+    PROCESS_THROTTLE_SECS = 5  # sec
+    TICKER_INTERVAL = 5  # min
+    HYPEROPT_EPOCH = 100  # epochs
+    RETRY_TIMEOUT = 30  # sec
+    DEFAULT_STRATEGY = 'default_strategy'
+
+    # Required json-schema for user specified config
+    CONF_SCHEMA = {
+        'type': 'object',
+        'properties': {
+            'max_open_trades': {'type': 'integer', 'minimum': 1},
+            'ticker_interval': {'type': 'integer', 'enum': [1, 5, 30, 60, 1440]},
+            'stake_currency': {'type': 'string', 'enum': ['BTC', 'ETH', 'USDT']},
+            'stake_amount': {'type': 'number', 'minimum': 0.0005},
+            'fiat_display_currency': {'type': 'string', 'enum': ['AUD', 'BRL', 'CAD', 'CHF',
+                                                                 'CLP', 'CNY', 'CZK', 'DKK',
+                                                                 'EUR', 'GBP', 'HKD', 'HUF',
+                                                                 'IDR', 'ILS', 'INR', 'JPY',
+                                                                 'KRW', 'MXN', 'MYR', 'NOK',
+                                                                 'NZD', 'PHP', 'PKR', 'PLN',
+                                                                 'RUB', 'SEK', 'SGD', 'THB',
+                                                                 'TRY', 'TWD', 'ZAR', 'USD']},
+            'dry_run': {'type': 'boolean'},
+            'minimal_roi': {
+                'type': 'object',
+                'patternProperties': {
+                    '^[0-9.]+$': {'type': 'number'}
+                },
+                'minProperties': 1
+            },
+            'stoploss': {'type': 'number', 'maximum': 0, 'exclusiveMaximum': True},
+            'unfilledtimeout': {'type': 'integer', 'minimum': 0},
+            'bid_strategy': {
+                'type': 'object',
+                'properties': {
+                    'ask_last_balance': {
+                        'type': 'number',
+                        'minimum': 0,
+                        'maximum': 1,
+                        'exclusiveMaximum': False
+                    },
+                },
+                'required': ['ask_last_balance']
+            },
+            'exchange': {'$ref': '#/definitions/exchange'},
+            'experimental': {
+                'type': 'object',
+                'properties': {
+                    'use_sell_signal': {'type': 'boolean'},
+                    'sell_profit_only': {'type': 'boolean'}
+                }
+            },
+            'telegram': {
+                'type': 'object',
+                'properties': {
+                    'enabled': {'type': 'boolean'},
+                    'token': {'type': 'string'},
+                    'chat_id': {'type': 'string'},
+                },
+                'required': ['enabled', 'token', 'chat_id']
+            },
+            'initial_state': {'type': 'string', 'enum': ['running', 'stopped']},
+            'internals': {
+                'type': 'object',
+                'properties': {
+                    'process_throttle_secs': {'type': 'number'},
+                    'interval': {'type': 'integer'}
+                }
+            }
+        },
+        'definitions': {
+            'exchange': {
+                'type': 'object',
+                'properties': {
+                    'name': {'type': 'string'},
+                    'key': {'type': 'string'},
+                    'secret': {'type': 'string'},
+                    'pair_whitelist': {
+                        'type': 'array',
+                        'items': {
+                            'type': 'string',
+                            'pattern': '^[0-9A-Z]+_[0-9A-Z]+$'
+                        },
+                        'uniqueItems': True
+                    },
+                    'pair_blacklist': {
+                        'type': 'array',
+                        'items': {
+                            'type': 'string',
+                            'pattern': '^[0-9A-Z]+_[0-9A-Z]+$'
+                        },
+                        'uniqueItems': True
+                    }
+                },
+                'required': ['name', 'key', 'secret', 'pair_whitelist']
+            }
+        },
+        'anyOf': [
+            {'required': ['exchange']}
+        ],
+        'required': [
+            'max_open_trades',
+            'stake_currency',
+            'stake_amount',
+            'fiat_display_currency',
+            'dry_run',
+            'bid_strategy',
+            'telegram'
+        ]
+    }

freqtrade/exchange/bittrex.py

@@ -1,8 +1,8 @@
 import logging
 from typing import Dict, List, Optional
 
-from bittrex.bittrex import Bittrex as _Bittrex
 from bittrex.bittrex import API_V1_1, API_V2_0
+from bittrex.bittrex import Bittrex as _Bittrex
 from requests.exceptions import ContentDecodingError
 
 from freqtrade import OperationalException

freqtrade/fiat_convert.py

@@ -5,12 +5,13 @@ e.g BTC to USD
 
 import logging
 import time
+
 from coinmarketcap import Market
 
 logger = logging.getLogger(__name__)
 
 
-class CryptoFiat():
+class CryptoFiat(object):
     """
     Object to describe what is the price of Crypto-currency in a FIAT
     """

freqtrade/freqtradebot.py

@@ -0,0 +1,537 @@
+"""
+Freqtrade is the main module of this bot. It contains the class Freqtrade()
+"""
+
+import copy
+import json
+import time
+import traceback
+from datetime import datetime
+from typing import Dict, List, Optional, Any, Callable
+
+import arrow
+import requests
+from cachetools import cached, TTLCache
+
+from freqtrade import (DependencyException, OperationalException, exchange, persistence)
+from freqtrade.analyze import Analyze
+from freqtrade.constants import Constants
+from freqtrade.fiat_convert import CryptoToFiatConverter
+from freqtrade.logger import Logger
+from freqtrade.persistence import Trade
+from freqtrade.rpc.rpc_manager import RPCManager
+from freqtrade.state import State
+
+
+class FreqtradeBot(object):
+    """
+    Freqtrade is the main class of the bot.
+    This is from here the bot start its logic.
+    """
+
+    def __init__(self, config: Dict[str, Any], db_url: Optional[str] = None):
+        """
+        Init all variables and object the bot need to work
+        :param config: configuration dict, you can use the Configuration.get_config()
+        method to get the config dict.
+        :param db_url: database connector string for sqlalchemy (Optional)
+        """
+
+        # Init the logger
+        self.logger = Logger(name=__name__, level=config.get('loglevel')).get_logger()
+
+        # Init bot states
+        self._state = State.STOPPED
+
+        # Init objects
+        self.config = config
+        self.analyze = None
+        self.fiat_converter = None
+        self.rpc = None
+        self.persistence = None
+        self.exchange = None
+
+        self._init_modules(db_url=db_url)
+
+    def _init_modules(self, db_url: Optional[str] = None) -> None:
+        """
+        Initializes all modules and updates the config
+        :param db_url: database connector string for sqlalchemy (Optional)
+        :return: None
+        """
+        # Initialize all modules
+        self.analyze = Analyze(self.config)
+        self.fiat_converter = CryptoToFiatConverter()
+        self.rpc = RPCManager(self)
+
+        persistence.init(self.config, db_url)
+        exchange.init(self.config)
+
+        # Set initial application state
+        initial_state = self.config.get('initial_state')
+
+        if initial_state:
+            self.update_state(State[initial_state.upper()])
+        else:
+            self.update_state(State.STOPPED)
+
+    def clean(self) -> bool:
+        """
+        Cleanup the application state und finish all pending tasks
+        :return: None
+        """
+        self.rpc.send_msg('*Status:* `Stopping trader...`')
+        self.logger.info('Stopping trader and cleaning up modules...')
+        self.update_state(State.STOPPED)
+        self.rpc.cleanup()
+        persistence.cleanup()
+        return True
+
+    def update_state(self, state: State) -> None:
+        """
+        Updates the application state
+        :param state: new state
+        :return: None
+        """
+        self._state = state
+
+    def get_state(self) -> State:
+        """
+        Gets the current application state
+        :return:
+        """
+        return self._state
+
+    def worker(self, old_state: None) -> State:
+        """
+        Trading routine that must be run at each loop
+        :param old_state: the previous service state from the previous call
+        :return: current service state
+        """
+        new_state = self.get_state()
+        # Log state transition
+        if new_state != old_state:
+            self.rpc.send_msg('*Status:* `{}`'.format(new_state.name.lower()))
+            self.logger.info('Changing state to: %s', new_state.name)
+
+        if new_state == State.STOPPED:
+            time.sleep(1)
+        elif new_state == State.RUNNING:
+            min_secs = self.config.get('internals', {}).get(
+                'process_throttle_secs',
+                Constants.PROCESS_THROTTLE_SECS
+            )
+
+            nb_assets = self.config.get(
+                'dynamic_whitelist',
+                Constants.DYNAMIC_WHITELIST
+            )
+
+            self._throttle(func=self._process,
+                           min_secs=min_secs,
+                           nb_assets=nb_assets)
+        return new_state
+
+    def _throttle(self, func: Callable[..., Any], min_secs: float, *args, **kwargs) -> Any:
+        """
+        Throttles the given callable that it
+        takes at least `min_secs` to finish execution.
+        :param func: Any callable
+        :param min_secs: minimum execution time in seconds
+        :return: Any
+        """
+        start = time.time()
+        result = func(*args, **kwargs)
+        end = time.time()
+        duration = max(min_secs - (end - start), 0.0)
+        self.logger.debug('Throttling %s for %.2f seconds', func.__name__, duration)
+        time.sleep(duration)
+        return result
+
+    def _process(self, nb_assets: Optional[int] = 0) -> bool:
+        """
+        Queries the persistence layer for open trades and handles them,
+        otherwise a new trade is created.
+        :param: nb_assets: the maximum number of pairs to be traded at the same time
+        :return: True if one or more trades has been created or closed, False otherwise
+        """
+        state_changed = False
+        try:
+            # Refresh whitelist based on wallet maintenance
+            sanitized_list = self._refresh_whitelist(
+                self._gen_pair_whitelist(
+                    self.config['stake_currency']
+                ) if nb_assets else self.config['exchange']['pair_whitelist']
+            )
+
+            # Keep only the subsets of pairs wanted (up to nb_assets)
+            final_list = sanitized_list[:nb_assets] if nb_assets else sanitized_list
+            self.config['exchange']['pair_whitelist'] = final_list
+
+            # Query trades from persistence layer
+            trades = Trade.query.filter(Trade.is_open.is_(True)).all()
+
+            # First process current opened trades
+            for trade in trades:
+                state_changed |= self.process_maybe_execute_sell(trade)
+
+            # Then looking for buy opportunities
+            if len(trades) < self.config['max_open_trades']:
+                state_changed = self.process_maybe_execute_buy()
+
+            if 'unfilledtimeout' in self.config:
+                # Check and handle any timed out open orders
+                self.check_handle_timedout(self.config['unfilledtimeout'])
+                Trade.session.flush()
+
+        except (requests.exceptions.RequestException, json.JSONDecodeError) as error:
+            self.logger.warning('%s, retrying in 30 seconds...', error)
+            time.sleep(Constants.RETRY_TIMEOUT)
+        except OperationalException:
+            self.rpc.send_msg(
+                '*Status:* OperationalException:\n```\n{traceback}```{hint}'
+                .format(
+                    traceback=traceback.format_exc(),
+                    hint='Issue `/start` if you think it is safe to restart.'
+                )
+            )
+            self.logger.exception('OperationalException. Stopping trader ...')
+            self.update_state(State.STOPPED)
+        return state_changed
+
+    @cached(TTLCache(maxsize=1, ttl=1800))
+    def _gen_pair_whitelist(self, base_currency: str, key: str = 'BaseVolume') -> List[str]:
+        """
+        Updates the whitelist with with a dynamically generated list
+        :param base_currency: base currency as str
+        :param key: sort key (defaults to 'BaseVolume')
+        :return: List of pairs
+        """
+        summaries = sorted(
+            (s for s in exchange.get_market_summaries() if
+             s['MarketName'].startswith(base_currency)),
+            key=lambda s: s.get(key) or 0.0,
+            reverse=True
+        )
+
+        return [s['MarketName'].replace('-', '_') for s in summaries]
+
+    def _refresh_whitelist(self, whitelist: List[str]) -> List[str]:
+        """
+        Check wallet health and remove pair from whitelist if necessary
+        :param whitelist: the sorted list (based on BaseVolume) of pairs the user might want to
+        trade
+        :return: the list of pairs the user wants to trade without the one unavailable or
+        black_listed
+        """
+        sanitized_whitelist = whitelist
+        health = exchange.get_wallet_health()
+        known_pairs = set()
+        for status in health:
+            pair = '{}_{}'.format(self.config['stake_currency'], status['Currency'])
+            # pair is not int the generated dynamic market, or in the blacklist ... ignore it
+            if pair not in whitelist or pair in self.config['exchange'].get('pair_blacklist', []):
+                continue
+            # else the pair is valid
+            known_pairs.add(pair)
+            # Market is not active
+            if not status['IsActive']:
+                sanitized_whitelist.remove(pair)
+                self.logger.info(
+                    'Ignoring %s from whitelist (reason: %s).',
+                    pair, status.get('Notice') or 'wallet is not active'
+                )
+
+        # We need to remove pairs that are unknown
+        final_list = [x for x in sanitized_whitelist if x in known_pairs]
+        return final_list
+
+    def get_target_bid(self, ticker: Dict[str, float]) -> float:
+        """
+        Calculates bid target between current ask price and last price
+        :param ticker: Ticker to use for getting Ask and Last Price
+        :return: float: Price
+        """
+        if ticker['ask'] < ticker['last']:
+            return ticker['ask']
+        balance = self.config['bid_strategy']['ask_last_balance']
+        return ticker['ask'] + balance * (ticker['last'] - ticker['ask'])
+
+    def create_trade(self) -> bool:
+        """
+        Checks the implemented trading indicator(s) for a randomly picked pair,
+        if one pair triggers the buy_signal a new trade record gets created
+        :param stake_amount: amount of btc to spend
+        :param interval: Ticker interval used for Analyze
+        :return: True if a trade object has been created and persisted, False otherwise
+        """
+        stake_amount = self.config['stake_amount']
+        interval = self.analyze.get_ticker_interval()
+
+        self.logger.info(
+            'Checking buy signals to create a new trade with stake_amount: %f ...',
+            stake_amount
+        )
+        whitelist = copy.deepcopy(self.config['exchange']['pair_whitelist'])
+        # Check if stake_amount is fulfilled
+        if exchange.get_balance(self.config['stake_currency']) < stake_amount:
+            raise DependencyException(
+                'stake amount is not fulfilled (currency={})'.format(self.config['stake_currency'])
+            )
+
+        # Remove currently opened and latest pairs from whitelist
+        for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
+            if trade.pair in whitelist:
+                whitelist.remove(trade.pair)
+                self.logger.debug('Ignoring %s in pair whitelist', trade.pair)
+
+        if not whitelist:
+            raise DependencyException('No currency pairs in whitelist')
+
+        # Pick pair based on StochRSI buy signals
+        for _pair in whitelist:
+            (buy, sell) = self.analyze.get_signal(_pair, interval)
+            if buy and not sell:
+                pair = _pair
+                break
+        else:
+            return False
+
+        # Calculate amount
+        buy_limit = self.get_target_bid(exchange.get_ticker(pair))
+        amount = stake_amount / buy_limit
+
+        order_id = exchange.buy(pair, buy_limit, amount)
+
+        stake_amount_fiat = self.fiat_converter.convert_amount(
+            stake_amount,
+            self.config['stake_currency'],
+            self.config['fiat_display_currency']
+        )
+
+        # Create trade entity and return
+        self.rpc.send_msg(
+            '*{}:* Buying [{}]({}) with limit `{:.8f} ({:.6f} {}, {:.3f} {})` '
+            .format(
+                exchange.get_name().upper(),
+                pair.replace('_', '/'),
+                exchange.get_pair_detail_url(pair),
+                buy_limit,
+                stake_amount,
+                self.config['stake_currency'],
+                stake_amount_fiat,
+                self.config['fiat_display_currency']
+            )
+        )
+        # Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
+        trade = Trade(
+            pair=pair,
+            stake_amount=stake_amount,
+            amount=amount,
+            fee=exchange.get_fee(),
+            open_rate=buy_limit,
+            open_date=datetime.utcnow(),
+            exchange=exchange.get_name().upper(),
+            open_order_id=order_id
+        )
+        Trade.session.add(trade)
+        Trade.session.flush()
+        return True
+
+    def process_maybe_execute_buy(self) -> bool:
+        """
+        Tries to execute a buy trade in a safe way
+        :return: True if executed
+        """
+        try:
+            # Create entity and execute trade
+            if self.create_trade():
+                return True
+
+            self.logger.info('Found no buy signals for whitelisted currencies. Trying again..')
+            return False
+        except DependencyException as exception:
+            self.logger.warning('Unable to create trade: %s', exception)
+            return False
+
+    def process_maybe_execute_sell(self, trade: Trade) -> bool:
+        """
+        Tries to execute a sell trade
+        :return: True if executed
+        """
+        # Get order details for actual price per unit
+        if trade.open_order_id:
+            # Update trade with order values
+            self.logger.info('Found open order for %s', trade)
+            trade.update(exchange.get_order(trade.open_order_id))
+
+        if trade.is_open and trade.open_order_id is None:
+            # Check if we can sell our current pair
+            return self.handle_trade(trade)
+        return False
+
+    def handle_trade(self, trade: Trade) -> bool:
+        """
+        Sells the current pair if the threshold is reached and updates the trade record.
+        :return: True if trade has been sold, False otherwise
+        """
+        if not trade.is_open:
+            raise ValueError('attempt to handle closed trade: {}'.format(trade))
+
+        self.logger.debug('Handling %s ...', trade)
+        current_rate = exchange.get_ticker(trade.pair)['bid']
+
+        (buy, sell) = (False, False)
+
+        if self.config.get('experimental', {}).get('use_sell_signal'):
+            (buy, sell) = self.analyze.get_signal(trade.pair, self.analyze.get_ticker_interval())
+
+        if self.analyze.should_sell(trade, current_rate, datetime.utcnow(), buy, sell):
+            self.execute_sell(trade, current_rate)
+            return True
+
+        return False
+
+    def check_handle_timedout(self, timeoutvalue: int) -> None:
+        """
+        Check if any orders are timed out and cancel if neccessary
+        :param timeoutvalue: Number of minutes until order is considered timed out
+        :return: None
+        """
+        timeoutthreashold = arrow.utcnow().shift(minutes=-timeoutvalue).datetime
+
+        for trade in Trade.query.filter(Trade.open_order_id.isnot(None)).all():
+            try:
+                order = exchange.get_order(trade.open_order_id)
+            except requests.exceptions.RequestException:
+                self.logger.info(
+                    'Cannot query order for %s due to %s',
+                    trade,
+                    traceback.format_exc())
+                continue
+            ordertime = arrow.get(order['opened'])
+
+            # Check if trade is still actually open
+            if int(order['remaining']) == 0:
+                continue
+
+            if order['type'] == "LIMIT_BUY" and ordertime < timeoutthreashold:
+                self.handle_timedout_limit_buy(trade, order)
+            elif order['type'] == "LIMIT_SELL" and ordertime < timeoutthreashold:
+                self.handle_timedout_limit_sell(trade, order)
+
+    # FIX: 20180110, why is cancel.order unconditionally here, whereas
+    #                it is conditionally called in the
+    #                handle_timedout_limit_sell()?
+    def handle_timedout_limit_buy(self, trade: Trade, order: Dict) -> bool:
+        """Buy timeout - cancel order
+        :return: True if order was fully cancelled
+        """
+        exchange.cancel_order(trade.open_order_id)
+        if order['remaining'] == order['amount']:
+            # if trade is not partially completed, just delete the trade
+            Trade.session.delete(trade)
+            # FIX? do we really need to flush, caller of
+            #      check_handle_timedout will flush afterwards
+            Trade.session.flush()
+            self.logger.info('Buy order timeout for %s.', trade)
+            self.rpc.send_msg('*Timeout:* Unfilled buy order for {} cancelled'.format(
+                trade.pair.replace('_', '/')))
+            return True
+
+        # if trade is partially complete, edit the stake details for the trade
+        # and close the order
+        trade.amount = order['amount'] - order['remaining']
+        trade.stake_amount = trade.amount * trade.open_rate
+        trade.open_order_id = None
+        self.logger.info('Partial buy order timeout for %s.', trade)
+        self.rpc.send_msg('*Timeout:* Remaining buy order for {} cancelled'.format(
+            trade.pair.replace('_', '/')))
+        return False
+
+    # FIX: 20180110, should cancel_order() be cond. or unconditionally called?
+    def handle_timedout_limit_sell(self, trade: Trade, order: Dict) -> bool:
+        """
+        Sell timeout - cancel order and update trade
+        :return: True if order was fully cancelled
+        """
+        if order['remaining'] == order['amount']:
+            # if trade is not partially completed, just cancel the trade
+            exchange.cancel_order(trade.open_order_id)
+            trade.close_rate = None
+            trade.close_profit = None
+            trade.close_date = None
+            trade.is_open = True
+            trade.open_order_id = None
+            self.rpc.send_msg('*Timeout:* Unfilled sell order for {} cancelled'.format(
+                trade.pair.replace('_', '/')))
+            self.logger.info('Sell order timeout for %s.', trade)
+            return True
+
+        # TODO: figure out how to handle partially complete sell orders
+        return False
+
+    def execute_sell(self, trade: Trade, limit: float) -> None:
+        """
+        Executes a limit sell for the given trade and limit
+        :param trade: Trade instance
+        :param limit: limit rate for the sell order
+        :return: None
+        """
+        # Execute sell and update trade record
+        order_id = exchange.sell(str(trade.pair), limit, trade.amount)
+        trade.open_order_id = order_id
+
+        fmt_exp_profit = round(trade.calc_profit_percent(rate=limit) * 100, 2)
+        profit_trade = trade.calc_profit(rate=limit)
+        current_rate = exchange.get_ticker(trade.pair, False)['bid']
+        profit = trade.calc_profit_percent(current_rate)
+
+        message = "*{exchange}:* Selling\n" \
+                  "*Current Pair:* [{pair}]({pair_url})\n" \
+                  "*Limit:* `{limit}`\n" \
+                  "*Amount:* `{amount}`\n" \
+                  "*Open Rate:* `{open_rate:.8f}`\n" \
+                  "*Current Rate:* `{current_rate:.8f}`\n" \
+                  "*Profit:* `{profit:.2f}%`" \
+                  "".format(
+                      exchange=trade.exchange,
+                      pair=trade.pair,
+                      pair_url=exchange.get_pair_detail_url(trade.pair),
+                      limit=limit,
+                      open_rate=trade.open_rate,
+                      current_rate=current_rate,
+                      amount=round(trade.amount, 8),
+                      profit=round(profit * 100, 2),
+                  )
+
+        # For regular case, when the configuration exists
+        if 'stake_currency' in self.config and 'fiat_display_currency' in self.config:
+            fiat_converter = CryptoToFiatConverter()
+            profit_fiat = fiat_converter.convert_amount(
+                profit_trade,
+                self.config['stake_currency'],
+                self.config['fiat_display_currency']
+            )
+            message += '` ({gain}: {profit_percent:.2f}%, {profit_coin:.8f} {coin}`' \
+                       '` / {profit_fiat:.3f} {fiat})`' \
+                       ''.format(
+                           gain="profit" if fmt_exp_profit > 0 else "loss",
+                           profit_percent=fmt_exp_profit,
+                           profit_coin=profit_trade,
+                           coin=self.config['stake_currency'],
+                           profit_fiat=profit_fiat,
+                           fiat=self.config['fiat_display_currency'],
+                       )
+        # Because telegram._forcesell does not have the configuration
+        # Ignore the FIAT value and does not show the stake_currency as well
+        else:
+            message += '` ({gain}: {profit_percent:.2f}%, {profit_coin:.8f})`'.format(
+                gain="profit" if fmt_exp_profit > 0 else "loss",
+                profit_percent=fmt_exp_profit,
+                profit_coin=profit_trade
+            )
+
+        # Send the message
+        self.rpc.send_msg(message)
+        Trade.session.flush()

freqtrade/indicator_helpers.py

@@ -1,19 +1,19 @@
 from math import exp, pi, sqrt, cos
 
-import numpy
+import numpy as np
 import talib as ta
 from pandas import Series
 
 
-def went_up(series: Series) -> Series:
+def went_up(series: Series) -> bool:
     return series > series.shift(1)
 
 
-def went_down(series: Series) -> Series:
+def went_down(series: Series) -> bool:
     return series < series.shift(1)
 
 
-def ehlers_super_smoother(series: Series, smoothing: float = 6):
+def ehlers_super_smoother(series: Series, smoothing: float = 6) -> type(Series):
     magic = pi * sqrt(2) / smoothing
     a1 = exp(-magic)
     coeff2 = 2 * a1 * cos(magic)
@@ -29,7 +29,7 @@ def ehlers_super_smoother(series: Series, smoothing: float = 6):
     return filtered
 
 
-def fishers_inverse(series: Series, smoothing: float = 0):
+def fishers_inverse(series: Series, smoothing: float = 0) -> np.ndarray:
     """ Does a smoothed fishers inverse transformation.
         Can be used with any oscillator that goes from 0 to 100 like RSI or MFI """
     v1 = 0.1 * (series - 50)
@@ -37,4 +37,4 @@ def fishers_inverse(series: Series, smoothing: float = 0):
         v2 = ta.WMA(v1.values, timeperiod=smoothing)
     else:
         v2 = v1
-    return (numpy.exp(2 * v2)-1) / (numpy.exp(2 * v2) + 1)
+    return (np.exp(2 * v2)-1) / (np.exp(2 * v2) + 1)

freqtrade/logger.py

@@ -0,0 +1,83 @@
+# pragma pylint: disable=too-few-public-methods
+
+"""
+This module contains the class for logger and logging messages
+"""
+
+import logging
+
+
+class Logger(object):
+    """
+    Logging class
+    """
+    def __init__(self, name='', level=logging.INFO) -> None:
+        """
+        Init the logger class
+        :param name: Name of the Logger scope
+        :param level: Logger level that should be used
+        :return: None
+        """
+        self.name = name
+        self.logger = None
+
+        if level is None:
+            level = logging.INFO
+        self.level = level
+
+        self._init_logger()
+
+    def _init_logger(self) -> None:
+        """
+        Setup the bot logger configuration
+        :return: None
+        """
+        logging.basicConfig(
+            level=self.level,
+            format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+        )
+
+        self.logger = self.get_logger()
+        self.set_level(self.level)
+
+    def get_logger(self) -> logging.RootLogger:
+        """
+        Return the logger instance to use for sending message
+        :return: the logger instance
+        """
+        return logging.getLogger(self.name)
+
+    def set_name(self, name: str) -> logging.RootLogger:
+        """
+        Set the name of the logger
+        :param name: Name of the logger
+        :return: None
+        """
+        self.name = name
+        self.logger = self.get_logger()
+        return self.logger
+
+    def set_level(self, level) -> None:
+        """
+        Set the level of the logger
+        :param level:
+        :return: None
+        """
+        self.level = level
+        self.logger.setLevel(self.level)
+
+    def set_format(self, log_format: str, propagate: bool = False) -> None:
+        """
+        Set a new logging format
+        :return: None
+        """
+        handler = logging.StreamHandler()
+
+        len_handlers = len(self.logger.handlers)
+        if len_handlers:
+            self.logger.removeHandler(handler)
+
+        handler.setFormatter(logging.Formatter(log_format))
+        self.logger.addHandler(handler)
+
+        self.logger.propagate = propagate

freqtrade/main.py

@@ -1,564 +1,74 @@
 #!/usr/bin/env python3
-import copy
-import json
+"""
+Main Freqtrade bot script.
+Read the documentation to know what cli arguments you need.
+"""
+
 import logging
 import sys
-import time
-import traceback
-from datetime import datetime
-from typing import Dict, List, Optional, Any
+from typing import List
 
-import arrow
-import requests
-from cachetools import cached, TTLCache
+from freqtrade import (__version__)
+from freqtrade.arguments import Arguments
+from freqtrade.configuration import Configuration
+from freqtrade.freqtradebot import FreqtradeBot
+from freqtrade.logger import Logger
 
-from freqtrade import (DependencyException, OperationalException, __version__,
-                       exchange, persistence, rpc)
-from freqtrade.analyze import get_signal
-from freqtrade.fiat_convert import CryptoToFiatConverter
-from freqtrade.misc import (State, get_state, load_config, parse_args,
-                            throttle, update_state)
-from freqtrade.persistence import Trade
-from freqtrade.strategy.strategy import Strategy
-
-logger = logging.getLogger('freqtrade')
-
-_CONF: Dict[str, Any] = {}
+logger = Logger(name='freqtrade').get_logger()
 
 
-def refresh_whitelist(whitelist: List[str]) -> List[str]:
+def main(sysargv: List[str]) -> None:
     """
-    Check wallet health and remove pair from whitelist if necessary
-    :param whitelist: the sorted list (based on BaseVolume) of pairs the user might want to trade
-    :return: the list of pairs the user wants to trade without the one unavailable or black_listed
-    """
-    sanitized_whitelist = whitelist
-    health = exchange.get_wallet_health()
-    known_pairs = set()
-    for status in health:
-        pair = '{}_{}'.format(_CONF['stake_currency'], status['Currency'])
-        # pair is not int the generated dynamic market, or in the blacklist ... ignore it
-        if pair not in whitelist or pair in _CONF['exchange'].get('pair_blacklist', []):
-            continue
-        # else the pair is valid
-        known_pairs.add(pair)
-        # Market is not active
-        if not status['IsActive']:
-            sanitized_whitelist.remove(pair)
-            logger.info(
-                'Ignoring %s from whitelist (reason: %s).',
-                pair, status.get('Notice') or 'wallet is not active'
-            )
-
-    # We need to remove pairs that are unknown
-    final_list = [x for x in sanitized_whitelist if x in known_pairs]
-    return final_list
-
-
-def process_maybe_execute_buy(interval: int) -> bool:
-    """
-    Tries to execute a buy trade in a safe way
-    :return: True if executed
-    """
-    try:
-        # Create entity and execute trade
-        if create_trade(float(_CONF['stake_amount']), interval):
-            return True
-
-        logger.info('Found no buy signals for whitelisted currencies. Trying again..')
-        return False
-    except DependencyException as exception:
-        logger.warning('Unable to create trade: %s', exception)
-        return False
-
-
-def process_maybe_execute_sell(trade: Trade, interval: int) -> bool:
-    """
-    Tries to execute a sell trade
-    :return: True if executed
-    """
-    # Get order details for actual price per unit
-    if trade.open_order_id:
-        # Update trade with order values
-        logger.info('Found open order for %s', trade)
-        trade.update(exchange.get_order(trade.open_order_id))
-
-    if trade.is_open and trade.open_order_id is None:
-        # Check if we can sell our current pair
-        return handle_trade(trade, interval)
-    return False
-
-
-def _process(interval: int, nb_assets: Optional[int] = 0) -> bool:
-    """
-    Queries the persistence layer for open trades and handles them,
-    otherwise a new trade is created.
-    :param: nb_assets: the maximum number of pairs to be traded at the same time
-    :return: True if one or more trades has been created or closed, False otherwise
-    """
-    state_changed = False
-    try:
-        # Refresh whitelist based on wallet maintenance
-        sanitized_list = refresh_whitelist(
-            gen_pair_whitelist(
-                _CONF['stake_currency']
-            ) if nb_assets else _CONF['exchange']['pair_whitelist']
-        )
-
-        # Keep only the subsets of pairs wanted (up to nb_assets)
-        final_list = sanitized_list[:nb_assets] if nb_assets else sanitized_list
-        _CONF['exchange']['pair_whitelist'] = final_list
-
-        # Query trades from persistence layer
-        trades = Trade.query.filter(Trade.is_open.is_(True)).all()
-
-        # First process current opened trades
-        for trade in trades:
-            state_changed |= process_maybe_execute_sell(trade, interval)
-
-        # Then looking for buy opportunities
-        if len(trades) < _CONF['max_open_trades']:
-            state_changed = process_maybe_execute_buy(interval)
-
-        if 'unfilledtimeout' in _CONF:
-            # Check and handle any timed out open orders
-            check_handle_timedout(_CONF['unfilledtimeout'])
-            Trade.session.flush()
-
-    except (requests.exceptions.RequestException, json.JSONDecodeError) as error:
-        logger.warning('%s, retrying in 30 seconds...', error)
-        time.sleep(30)
-    except OperationalException:
-        rpc.send_msg('*Status:* OperationalException:\n```\n{traceback}```{hint}'.format(
-            traceback=traceback.format_exc(),
-            hint='Issue `/start` if you think it is safe to restart.'
-        ))
-        logger.exception('OperationalException. Stopping trader ...')
-        update_state(State.STOPPED)
-    return state_changed
-
-
-# FIX: 20180110, why is cancel.order unconditionally here, whereas
-#                it is conditionally called in the
-#                handle_timedout_limit_sell()?
-def handle_timedout_limit_buy(trade: Trade, order: Dict) -> bool:
-    """Buy timeout - cancel order
-    :return: True if order was fully cancelled
-    """
-    exchange.cancel_order(trade.open_order_id)
-    if order['remaining'] == order['amount']:
-        # if trade is not partially completed, just delete the trade
-        Trade.session.delete(trade)
-        # FIX? do we really need to flush, caller of
-        #      check_handle_timedout will flush afterwards
-        Trade.session.flush()
-        logger.info('Buy order timeout for %s.', trade)
-        rpc.send_msg('*Timeout:* Unfilled buy order for {} cancelled'.format(
-                     trade.pair.replace('_', '/')))
-        return True
-
-    # if trade is partially complete, edit the stake details for the trade
-    # and close the order
-    trade.amount = order['amount'] - order['remaining']
-    trade.stake_amount = trade.amount * trade.open_rate
-    trade.open_order_id = None
-    logger.info('Partial buy order timeout for %s.', trade)
-    rpc.send_msg('*Timeout:* Remaining buy order for {} cancelled'.format(
-                 trade.pair.replace('_', '/')))
-    return False
-
-
-# FIX: 20180110, should cancel_order() be cond. or unconditionally called?
-def handle_timedout_limit_sell(trade: Trade, order: Dict) -> bool:
-    """
-    Sell timeout - cancel order and update trade
-    :return: True if order was fully cancelled
-    """
-    if order['remaining'] == order['amount']:
-        # if trade is not partially completed, just cancel the trade
-        exchange.cancel_order(trade.open_order_id)
-        trade.close_rate = None
-        trade.close_profit = None
-        trade.close_date = None
-        trade.is_open = True
-        trade.open_order_id = None
-        rpc.send_msg('*Timeout:* Unfilled sell order for {} cancelled'.format(
-                     trade.pair.replace('_', '/')))
-        logger.info('Sell order timeout for %s.', trade)
-        return True
-
-    # TODO: figure out how to handle partially complete sell orders
-    return False
-
-
-def check_handle_timedout(timeoutvalue: int) -> None:
-    """
-    Check if any orders are timed out and cancel if neccessary
-    :param timeoutvalue: Number of minutes until order is considered timed out
+    This function will initiate the bot and start the trading loop.
     :return: None
     """
-    timeoutthreashold = arrow.utcnow().shift(minutes=-timeoutvalue).datetime
-
-    for trade in Trade.query.filter(Trade.open_order_id.isnot(None)).all():
-        try:
-            order = exchange.get_order(trade.open_order_id)
-        except requests.exceptions.RequestException:
-            logger.info('Cannot query order for %s due to %s', trade, traceback.format_exc())
-            continue
-        ordertime = arrow.get(order['opened'])
-
-        # Check if trade is still actually open
-        if int(order['remaining']) == 0:
-            continue
-
-        if order['type'] == "LIMIT_BUY" and ordertime < timeoutthreashold:
-            handle_timedout_limit_buy(trade, order)
-        elif order['type'] == "LIMIT_SELL" and ordertime < timeoutthreashold:
-            handle_timedout_limit_sell(trade, order)
-
-
-def execute_sell(trade: Trade, limit: float) -> None:
-    """
-    Executes a limit sell for the given trade and limit
-    :param trade: Trade instance
-    :param limit: limit rate for the sell order
-    :return: None
-    """
-    # Execute sell and update trade record
-    order_id = exchange.sell(str(trade.pair), limit, trade.amount)
-    trade.open_order_id = order_id
-
-    fmt_exp_profit = round(trade.calc_profit_percent(rate=limit) * 100, 2)
-    profit_trade = trade.calc_profit(rate=limit)
-    current_rate = exchange.get_ticker(trade.pair, False)['bid']
-    profit = trade.calc_profit_percent(current_rate)
-
-    message = """*{exchange}:* Selling
-*Current Pair:* [{pair}]({pair_url})
-*Limit:* `{limit}`
-*Amount:* `{amount}`
-*Open Rate:* `{open_rate:.8f}`
-*Current Rate:* `{current_rate:.8f}`
-*Profit:* `{profit:.2f}%`
-    """.format(
-        exchange=trade.exchange,
-        pair=trade.pair,
-        pair_url=exchange.get_pair_detail_url(trade.pair),
-        limit=limit,
-        open_rate=trade.open_rate,
-        current_rate=current_rate,
-        amount=round(trade.amount, 8),
-        profit=round(profit * 100, 2),
+    arguments = Arguments(
+        sysargv,
+        'Simple High Frequency Trading Bot for crypto currencies'
     )
+    args = arguments.get_parsed_arg()
 
-    # For regular case, when the configuration exists
-    if 'stake_currency' in _CONF and 'fiat_display_currency' in _CONF:
-        fiat_converter = CryptoToFiatConverter()
-        profit_fiat = fiat_converter.convert_amount(
-            profit_trade,
-            _CONF['stake_currency'],
-            _CONF['fiat_display_currency']
-        )
-        message += '` ({gain}: {profit_percent:.2f}%, {profit_coin:.8f} {coin}`' \
-                   '` / {profit_fiat:.3f} {fiat})`'.format(
-                       gain="profit" if fmt_exp_profit > 0 else "loss",
-                       profit_percent=fmt_exp_profit,
-                       profit_coin=profit_trade,
-                       coin=_CONF['stake_currency'],
-                       profit_fiat=profit_fiat,
-                       fiat=_CONF['fiat_display_currency'],
-                   )
-    # Because telegram._forcesell does not have the configuration
-    # Ignore the FIAT value and does not show the stake_currency as well
-    else:
-        message += '` ({gain}: {profit_percent:.2f}%, {profit_coin:.8f})`'.format(
-            gain="profit" if fmt_exp_profit > 0 else "loss",
-            profit_percent=fmt_exp_profit,
-            profit_coin=profit_trade
-        )
-
-    # Send the message
-    rpc.send_msg(message)
-    Trade.session.flush()
-
-
-def min_roi_reached(trade: Trade, current_rate: float, current_time: datetime) -> bool:
-    """
-    Based an earlier trade and current price and ROI configuration, decides whether bot should sell
-    :return True if bot should sell at current rate
-    """
-    strategy = Strategy()
-
-    current_profit = trade.calc_profit_percent(current_rate)
-    if strategy.stoploss is not None and current_profit < strategy.stoploss:
-        logger.debug('Stop loss hit.')
-        return True
-
-    # Check if time matches and current rate is above threshold
-    time_diff = (current_time.timestamp() - trade.open_date.timestamp()) / 60
-    for duration, threshold in strategy.minimal_roi.items():
-        if time_diff <= duration:
-            return False
-        if current_profit > threshold:
-            return True
-    return False
-
-
-def should_sell(trade: Trade, rate: float, date: datetime, buy: bool, sell: bool) -> bool:
-    """
-    This function evaluate if on the condition required to trigger a sell has been reached
-    if the threshold is reached and updates the trade record.
-    :return: True if trade should be sold, False otherwise
-    """
-    # Check if minimal roi has been reached and no longer in buy conditions (avoiding a fee)
-    if min_roi_reached(trade, rate, date):
-        logger.debug('Required profit reached. Selling..')
-        return True
-
-    # Experimental: Check if the trade is profitable before selling it (avoid selling at loss)
-    if _CONF.get('experimental', {}).get('sell_profit_only', False):
-        logger.debug('Checking if trade is profitable..')
-        if trade.calc_profit(rate=rate) <= 0:
-            return False
-
-    if sell and not buy and _CONF.get('experimental', {}).get('use_sell_signal', False):
-        logger.debug('Sell signal received. Selling..')
-        return True
-
-    return False
-
-
-def handle_trade(trade: Trade, interval: int) -> bool:
-    """
-    Sells the current pair if the threshold is reached and updates the trade record.
-    :return: True if trade has been sold, False otherwise
-    """
-    if not trade.is_open:
-        raise ValueError('attempt to handle closed trade: {}'.format(trade))
-
-    logger.debug('Handling %s ...', trade)
-    current_rate = exchange.get_ticker(trade.pair)['bid']
-
-    (buy, sell) = (False, False)
-
-    if _CONF.get('experimental', {}).get('use_sell_signal'):
-        (buy, sell) = get_signal(trade.pair, interval)
-
-    if should_sell(trade, current_rate, datetime.utcnow(), buy, sell):
-        execute_sell(trade, current_rate)
-        return True
-
-    return False
-
-
-def get_target_bid(ticker: Dict[str, float]) -> float:
-    """ Calculates bid target between current ask price and last price """
-    if ticker['ask'] < ticker['last']:
-        return ticker['ask']
-    balance = _CONF['bid_strategy']['ask_last_balance']
-    return ticker['ask'] + balance * (ticker['last'] - ticker['ask'])
-
-
-def create_trade(stake_amount: float, interval: int) -> bool:
-    """
-    Checks the implemented trading indicator(s) for a randomly picked pair,
-    if one pair triggers the buy_signal a new trade record gets created
-    :param stake_amount: amount of btc to spend
-    :return: True if a trade object has been created and persisted, False otherwise
-    """
-    logger.info(
-        'Checking buy signals to create a new trade with stake_amount: %f ...',
-        stake_amount
-    )
-    whitelist = copy.deepcopy(_CONF['exchange']['pair_whitelist'])
-    # Check if stake_amount is fulfilled
-    if exchange.get_balance(_CONF['stake_currency']) < stake_amount:
-        raise DependencyException(
-            'stake amount is not fulfilled (currency={})'.format(_CONF['stake_currency'])
-        )
-
-    # Remove currently opened and latest pairs from whitelist
-    for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
-        if trade.pair in whitelist:
-            whitelist.remove(trade.pair)
-            logger.debug('Ignoring %s in pair whitelist', trade.pair)
-    if not whitelist:
-        raise DependencyException('No currency pairs in whitelist')
-
-    # Pick pair based on StochRSI buy signals
-    for _pair in whitelist:
-        (buy, sell) = get_signal(_pair, interval)
-        if buy and not sell:
-            pair = _pair
-            break
-    else:
-        return False
-
-    # Calculate amount
-    buy_limit = get_target_bid(exchange.get_ticker(pair))
-    amount = stake_amount / buy_limit
-
-    order_id = exchange.buy(pair, buy_limit, amount)
-
-    fiat_converter = CryptoToFiatConverter()
-    stake_amount_fiat = fiat_converter.convert_amount(
-        stake_amount,
-        _CONF['stake_currency'],
-        _CONF['fiat_display_currency']
-    )
-
-    # Create trade entity and return
-    rpc.send_msg('*{}:* Buying [{}]({}) with limit `{:.8f} ({:.6f} {}, {:.3f} {})` '.format(
-        exchange.get_name().upper(),
-        pair.replace('_', '/'),
-        exchange.get_pair_detail_url(pair),
-        buy_limit, stake_amount, _CONF['stake_currency'],
-        stake_amount_fiat, _CONF['fiat_display_currency']
-    ))
-    # Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
-    trade = Trade(
-        pair=pair,
-        stake_amount=stake_amount,
-        amount=amount,
-        fee=exchange.get_fee(),
-        open_rate=buy_limit,
-        open_date=datetime.utcnow(),
-        exchange=exchange.get_name().upper(),
-        open_order_id=order_id
-    )
-    Trade.session.add(trade)
-    Trade.session.flush()
-    return True
-
-
-def init(config: dict, db_url: Optional[str] = None) -> None:
-    """
-    Initializes all modules and updates the config
-    :param config: config as dict
-    :param db_url: database connector string for sqlalchemy (Optional)
-    :return: None
-    """
-    # Initialize all modules
-    rpc.init(config)
-    persistence.init(config, db_url)
-    exchange.init(config)
-
-    strategy = Strategy()
-    strategy.init(config)
-
-    # Set initial application state
-    initial_state = config.get('initial_state')
-    if initial_state:
-        update_state(State[initial_state.upper()])
-    else:
-        update_state(State.STOPPED)
-
-
-@cached(TTLCache(maxsize=1, ttl=1800))
-def gen_pair_whitelist(base_currency: str, key: str = 'BaseVolume') -> List[str]:
-    """
-    Updates the whitelist with with a dynamically generated list
-    :param base_currency: base currency as str
-    :param key: sort key (defaults to 'BaseVolume')
-    :return: List of pairs
-    """
-    summaries = sorted(
-        (s for s in exchange.get_market_summaries() if s['MarketName'].startswith(base_currency)),
-        key=lambda s: s.get(key) or 0.0,
-        reverse=True
-    )
-
-    return [s['MarketName'].replace('-', '_') for s in summaries]
-
-
-def cleanup() -> None:
-    """
-    Cleanup the application state und finish all pending tasks
-    :return: None
-    """
-    rpc.send_msg('*Status:* `Stopping trader...`')
-    logger.info('Stopping trader and cleaning up modules...')
-    update_state(State.STOPPED)
-    persistence.cleanup()
-    rpc.cleanup()
-    exit(0)
-
-
-def main(sysargv=sys.argv[1:]) -> int:
-    """
-    Loads and validates the config and handles the main loop
-    :return: None
-    """
-    global _CONF
-    args = parse_args(sysargv,
-                      'Simple High Frequency Trading Bot for crypto currencies')
-
-    # A subcommand has been issued
+    # A subcommand has been issued.
+    # Means if Backtesting or Hyperopt have been called we exit the bot
     if hasattr(args, 'func'):
         args.func(args)
         return 0
 
-    # Initialize logger
-    logging.basicConfig(
-        level=args.loglevel,
-        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
-    )
-
     logger.info(
         'Starting freqtrade %s (loglevel=%s)',
         __version__,
         logging.getLevelName(args.loglevel)
     )
 
-    # Load and validate configuration
-    _CONF = load_config(args.config)
-
-    # Add the strategy file to use
-    _CONF.update({'strategy': args.strategy})
-
-    # Initialize all modules and start main loop
-    if args.dynamic_whitelist:
-        logger.info('Using dynamically generated whitelist. (--dynamic-whitelist detected)')
-
-    # If the user ask for Dry run with a local DB instead of memory
-    if args.dry_run_db:
-        if _CONF.get('dry_run', False):
-            _CONF.update({'dry_run_db': True})
-            logger.info(
-                'Dry_run will use the DB file: "tradesv3.dry_run.sqlite". (--dry_run_db detected)'
-            )
-        else:
-            logger.info('Dry run is disabled. (--dry_run_db ignored)')
-
     try:
-        init(_CONF)
-        old_state = None
+        # Load and validate configuration
+        configuration = Configuration(args)
 
-        while True:
-            new_state = get_state()
-            # Log state transition
-            if new_state != old_state:
-                rpc.send_msg('*Status:* `{}`'.format(new_state.name.lower()))
-                logger.info('Changing state to: %s', new_state.name)
+        # Init the bot
+        freqtrade = FreqtradeBot(configuration.get_config())
+
+        state = None
+        while 1:
+            state = freqtrade.worker(old_state=state)
 
-            if new_state == State.STOPPED:
-                time.sleep(1)
-            elif new_state == State.RUNNING:
-                throttle(
-                    _process,
-                    min_secs=_CONF['internals'].get('process_throttle_secs', 10),
-                    nb_assets=args.dynamic_whitelist,
-                    interval=int(_CONF.get('ticker_interval', 5))
-                )
-            old_state = new_state
     except KeyboardInterrupt:
         logger.info('SIGINT received, aborting ...')
     except BaseException:
         logger.exception('Fatal exception!')
     finally:
-        cleanup()
-    return 0
+        freqtrade.clean()
+        sys.exit(0)
+
+
+def set_loggers() -> None:
+    """
+    Set the logger level for Third party libs
+    :return: None
+    """
+    logging.getLogger('requests.packages.urllib3').setLevel(logging.INFO)
+    logging.getLogger('telegram').setLevel(logging.INFO)
 
 
 if __name__ == '__main__':
+    set_loggers()
     main(sys.argv[1:])

freqtrade/misc.py

@@ -1,30 +1,29 @@
-import argparse
-import enum
+"""
+Various tool function for Freqtrade and scripts
+"""
+
 import json
 import logging
-import time
-import os
 import re
 from datetime import datetime
-from typing import Any, Callable, Dict, List
+from typing import Dict
 
 import numpy as np
-from jsonschema import Draft4Validator, validate
-from jsonschema.exceptions import ValidationError, best_match
-from wrapt import synchronized
-
-from freqtrade import __version__
+from pandas import DataFrame
 
 logger = logging.getLogger(__name__)
 
 
-class State(enum.Enum):
-    RUNNING = 0
-    STOPPED = 1
-
-
-# Current application state
-_STATE = State.STOPPED
+def shorten_date(_date: str) -> str:
+    """
+    Trim the date so it fits on small screens
+    """
+    new_date = re.sub('seconds?', 'sec', _date)
+    new_date = re.sub('minutes?', 'min', new_date)
+    new_date = re.sub('hours?', 'h', new_date)
+    new_date = re.sub('days?', 'd', new_date)
+    new_date = re.sub('^an?', '1', new_date)
+    return new_date
 
 
 ############################################
@@ -32,8 +31,7 @@ _STATE = State.STOPPED
 # Matplotlib doesn't support ::datetime64, #
 # so we need to convert it into ::datetime #
 ############################################
-
-def datesarray_to_datetimearray(dates):
+def datesarray_to_datetimearray(dates: np.ndarray) -> np.ndarray:
     """
     Convert an pandas-array of timestamps into
     An numpy-array of datetimes
@@ -41,13 +39,18 @@ def datesarray_to_datetimearray(dates):
     """
     times = []
     dates = dates.astype(datetime)
-    for i in range(0, dates.size):
-        date = dates[i].to_pydatetime()
+    for index in range(0, dates.size):
+        date = dates[index].to_pydatetime()
         times.append(date)
     return np.array(times)
 
 
-def common_datearray(dfs):
+def common_datearray(dfs: Dict[str, DataFrame]) -> np.ndarray:
+    """
+    Return dates from Dataframe
+    :param dfs: Dict with format pair: pair_data
+    :return: List of dates
+    """
     alldates = {}
     for pair, pair_data in dfs.items():
         dates = datesarray_to_datetimearray(pair_data['date'])
@@ -61,375 +64,11 @@ def common_datearray(dfs):
 
 
 def file_dump_json(filename, data) -> None:
-    with open(filename, 'w') as fp:
-        json.dump(data, fp)
-
-
-@synchronized
-def update_state(state: State) -> None:
     """
-    Updates the application state
-    :param state: new state
-    :return: None
-    """
-    global _STATE
-    _STATE = state
-
-
-@synchronized
-def get_state() -> State:
-    """
-    Gets the current application state
+    Dump JSON data into a file
+    :param filename: file to create
+    :param data: JSON Data to save
     :return:
     """
-    return _STATE
-
-
-def load_config(path: str) -> Dict:
-    """
-    Loads a config file from the given path
-    :param path: path as str
-    :return: configuration as dictionary
-    """
-    with open(path) as file:
-        conf = json.load(file)
-    if 'internals' not in conf:
-        conf['internals'] = {}
-    logger.info('Validating configuration ...')
-    try:
-        validate(conf, CONF_SCHEMA)
-        return conf
-    except ValidationError as exception:
-        logger.fatal('Invalid configuration. See config.json.example. Reason: %s', exception)
-        raise ValidationError(
-            best_match(Draft4Validator(CONF_SCHEMA).iter_errors(conf)).message
-        )
-
-
-def throttle(func: Callable[..., Any], min_secs: float, *args, **kwargs) -> Any:
-    """
-    Throttles the given callable that it
-    takes at least `min_secs` to finish execution.
-    :param func: Any callable
-    :param min_secs: minimum execution time in seconds
-    :return: Any
-    """
-    start = time.time()
-    result = func(*args, **kwargs)
-    end = time.time()
-    duration = max(min_secs - (end - start), 0.0)
-    logger.debug('Throttling %s for %.2f seconds', func.__name__, duration)
-    time.sleep(duration)
-    return result
-
-
-def common_args_parser(description: str):
-    """
-    Parses given common arguments and returns them as a parsed object.
-    """
-    parser = argparse.ArgumentParser(
-        description=description
-    )
-    parser.add_argument(
-        '-v', '--verbose',
-        help='be verbose',
-        action='store_const',
-        dest='loglevel',
-        const=logging.DEBUG,
-        default=logging.INFO,
-    )
-    parser.add_argument(
-        '--version',
-        action='version',
-        version='%(prog)s {}'.format(__version__),
-    )
-    parser.add_argument(
-        '-c', '--config',
-        help='specify configuration file (default: %(default)s)',
-        dest='config',
-        default='config.json',
-        type=str,
-        metavar='PATH',
-    )
-    parser.add_argument(
-        '-d', '--datadir',
-        help='path to backtest data (default: %(default)s',
-        dest='datadir',
-        default=os.path.join('freqtrade', 'tests', 'testdata'),
-        type=str,
-        metavar='PATH',
-    )
-    parser.add_argument(
-        '-s', '--strategy',
-        help='specify strategy file (default: %(default)s)',
-        dest='strategy',
-        default='default_strategy',
-        type=str,
-        metavar='PATH',
-    )
-    return parser
-
-
-def parse_args(args: List[str], description: str):
-    """
-    Parses given arguments and returns an argparse Namespace instance.
-    Returns None if a sub command has been selected and executed.
-    """
-    parser = common_args_parser(description)
-    parser.add_argument(
-        '--dry-run-db',
-        help='Force dry run to use a local DB "tradesv3.dry_run.sqlite" \
-             instead of memory DB. Work only if dry_run is enabled.',
-        action='store_true',
-        dest='dry_run_db',
-    )
-    parser.add_argument(
-        '--dynamic-whitelist',
-        help='dynamically generate and update whitelist \
-             based on 24h BaseVolume (Default 20 currencies)',  # noqa
-        dest='dynamic_whitelist',
-        const=20,
-        type=int,
-        metavar='INT',
-        nargs='?',
-    )
-
-    build_subcommands(parser)
-    return parser.parse_args(args)
-
-
-def scripts_options(parser: argparse.ArgumentParser) -> None:
-    parser.add_argument(
-        '-p', '--pair',
-        help='Show profits for only this pairs. Pairs are comma-separated.',
-        dest='pair',
-        default=None
-    )
-
-
-def optimizer_shared_options(parser: argparse.ArgumentParser) -> None:
-    parser.add_argument(
-        '-i', '--ticker-interval',
-        help='specify ticker interval in minutes (1, 5, 30, 60, 1440)',
-        dest='ticker_interval',
-        type=int,
-        metavar='INT',
-    )
-    parser.add_argument(
-        '--realistic-simulation',
-        help='uses max_open_trades from config to simulate real world limitations',
-        action='store_true',
-        dest='realistic_simulation',
-    )
-    parser.add_argument(
-        '--timerange',
-        help='Specify what timerange of data to use.',
-        default=None,
-        type=str,
-        dest='timerange',
-    )
-
-
-def backtesting_options(parser: argparse.ArgumentParser) -> None:
-    parser.add_argument(
-        '-l', '--live',
-        action='store_true',
-        dest='live',
-        help='using live data',
-    )
-    parser.add_argument(
-        '-r', '--refresh-pairs-cached',
-        help='refresh the pairs files in tests/testdata with the latest data from Bittrex. \
-              Use it if you want to run your backtesting with up-to-date data.',
-        action='store_true',
-        dest='refresh_pairs',
-    )
-    parser.add_argument(
-        '--export',
-        help='Export backtest results, argument are: trades\
-              Example --export=trades',
-        type=str,
-        default=None,
-        dest='export',
-    )
-
-
-def hyperopt_options(parser: argparse.ArgumentParser) -> None:
-    parser.add_argument(
-        '-e', '--epochs',
-        help='specify number of epochs (default: %(default)d)',
-        dest='epochs',
-        default=100,
-        type=int,
-        metavar='INT',
-    )
-    parser.add_argument(
-        '--use-mongodb',
-        help='parallelize evaluations with mongodb (requires mongod in PATH)',
-        dest='mongodb',
-        action='store_true',
-    )
-    parser.add_argument(
-        '-s', '--spaces',
-        help='Specify which parameters to hyperopt. Space separate list. \
-              Default: %(default)s',
-        choices=['all', 'buy', 'roi', 'stoploss'],
-        default='all',
-        nargs='+',
-        dest='spaces',
-    )
-
-
-def parse_timerange(text):
-    if text is None:
-        return None
-    syntax = [(r'^-(\d{8})$', (None, 'date')),
-              (r'^(\d{8})-$', ('date', None)),
-              (r'^(\d{8})-(\d{8})$', ('date', 'date')),
-              (r'^(-\d+)$', (None, 'line')),
-              (r'^(\d+)-$', ('line', None)),
-              (r'^(\d+)-(\d+)$', ('index', 'index'))]
-    for rex, stype in syntax:
-        # Apply the regular expression to text
-        match = re.match(rex, text)
-        if match:  # Regex has matched
-            rvals = match.groups()
-            index = 0
-            start = None
-            stop = None
-            if stype[0]:
-                start = rvals[index]
-                if stype[0] != 'date':
-                    start = int(start)
-                index += 1
-            if stype[1]:
-                stop = rvals[index]
-                if stype[1] != 'date':
-                    stop = int(stop)
-            return (stype, start, stop)
-    raise Exception('Incorrect syntax for timerange "%s"' % text)
-
-
-def build_subcommands(parser: argparse.ArgumentParser) -> None:
-    """ Builds and attaches all subcommands """
-    from freqtrade.optimize import backtesting, hyperopt
-
-    subparsers = parser.add_subparsers(dest='subparser')
-
-    # Add backtesting subcommand
-    backtesting_cmd = subparsers.add_parser('backtesting', help='backtesting module')
-    backtesting_cmd.set_defaults(func=backtesting.start)
-    optimizer_shared_options(backtesting_cmd)
-    backtesting_options(backtesting_cmd)
-
-    # Add hyperopt subcommand
-    hyperopt_cmd = subparsers.add_parser('hyperopt', help='hyperopt module')
-    hyperopt_cmd.set_defaults(func=hyperopt.start)
-    optimizer_shared_options(hyperopt_cmd)
-    hyperopt_options(hyperopt_cmd)
-
-
-# Required json-schema for user specified config
-CONF_SCHEMA = {
-    'type': 'object',
-    'properties': {
-        'max_open_trades': {'type': 'integer', 'minimum': 0},
-        'ticker_interval': {'type': 'integer', 'enum': [1, 5, 30, 60, 1440]},
-        'stake_currency': {'type': 'string', 'enum': ['BTC', 'ETH', 'USDT']},
-        'stake_amount': {'type': 'number', 'minimum': 0.0005},
-        'fiat_display_currency': {'type': 'string', 'enum': ['AUD', 'BRL', 'CAD', 'CHF',
-                                                             'CLP', 'CNY', 'CZK', 'DKK',
-                                                             'EUR', 'GBP', 'HKD', 'HUF',
-                                                             'IDR', 'ILS', 'INR', 'JPY',
-                                                             'KRW', 'MXN', 'MYR', 'NOK',
-                                                             'NZD', 'PHP', 'PKR', 'PLN',
-                                                             'RUB', 'SEK', 'SGD', 'THB',
-                                                             'TRY', 'TWD', 'ZAR', 'USD']},
-        'dry_run': {'type': 'boolean'},
-        'minimal_roi': {
-            'type': 'object',
-            'patternProperties': {
-                '^[0-9.]+$': {'type': 'number'}
-            },
-            'minProperties': 1
-        },
-        'stoploss': {'type': 'number', 'maximum': 0, 'exclusiveMaximum': True},
-        'unfilledtimeout': {'type': 'integer', 'minimum': 0},
-        'bid_strategy': {
-            'type': 'object',
-            'properties': {
-                'ask_last_balance': {
-                    'type': 'number',
-                    'minimum': 0,
-                    'maximum': 1,
-                    'exclusiveMaximum': False
-                },
-            },
-            'required': ['ask_last_balance']
-        },
-        'exchange': {'$ref': '#/definitions/exchange'},
-        'experimental': {
-            'type': 'object',
-            'properties': {
-                'use_sell_signal': {'type': 'boolean'},
-                'sell_profit_only': {'type': 'boolean'}
-            }
-        },
-        'telegram': {
-            'type': 'object',
-            'properties': {
-                'enabled': {'type': 'boolean'},
-                'token': {'type': 'string'},
-                'chat_id': {'type': 'string'},
-            },
-            'required': ['enabled', 'token', 'chat_id']
-        },
-        'initial_state': {'type': 'string', 'enum': ['running', 'stopped']},
-        'internals': {
-            'type': 'object',
-            'properties': {
-                'process_throttle_secs': {'type': 'number'},
-                'interval': {'type': 'integer'}
-            }
-        }
-    },
-    'definitions': {
-        'exchange': {
-            'type': 'object',
-            'properties': {
-                'name': {'type': 'string'},
-                'key': {'type': 'string'},
-                'secret': {'type': 'string'},
-                'pair_whitelist': {
-                    'type': 'array',
-                    'items': {
-                        'type': 'string',
-                        'pattern': '^[0-9A-Z]+_[0-9A-Z]+$'
-                    },
-                    'uniqueItems': True
-                },
-                'pair_blacklist': {
-                    'type': 'array',
-                    'items': {
-                        'type': 'string',
-                        'pattern': '^[0-9A-Z]+_[0-9A-Z]+$'
-                    },
-                    'uniqueItems': True
-                }
-            },
-            'required': ['name', 'key', 'secret', 'pair_whitelist']
-        }
-    },
-    'anyOf': [
-        {'required': ['exchange']}
-    ],
-    'required': [
-        'max_open_trades',
-        'stake_currency',
-        'stake_amount',
-        'fiat_display_currency',
-        'dry_run',
-        'bid_strategy',
-        'telegram'
-    ]
-}
+    with open(filename, 'w') as fp:
+        json.dump(data, fp, default=str)

freqtrade/optimize/__init__.py

@@ -1,22 +1,20 @@
 # pragma pylint: disable=missing-docstring
 
-import logging
+import gzip
 import json
 import os
-from typing import Optional, List, Dict
-from pandas import DataFrame
-from freqtrade.exchange import get_ticker_history
-from freqtrade.analyze import populate_indicators, parse_ticker_dataframe
+from typing import Optional, List, Dict, Tuple
 
 from freqtrade import misc
+from freqtrade.exchange import get_ticker_history
+from freqtrade.logger import Logger
 from user_data.hyperopt_conf import hyperopt_optimize_conf
-import gzip
 
-logger = logging.getLogger(__name__)
+logger = Logger(name=__name__).get_logger()
 
 
-def trim_tickerlist(tickerlist, timerange):
-    (stype, start, stop) = timerange
+def trim_tickerlist(tickerlist: List[Dict], timerange: Tuple[Tuple, int, int]) -> List[Dict]:
+    stype, start, stop = timerange
     if stype == (None, 'line'):
         return tickerlist[stop:]
     elif stype == ('line', None):
@@ -27,7 +25,10 @@ def trim_tickerlist(tickerlist, timerange):
     return tickerlist
 
 
-def load_tickerdata_file(datadir, pair, ticker_interval, timerange=None):
+def load_tickerdata_file(
+        datadir: str, pair: str,
+        ticker_interval: int,
+        timerange: Optional[Tuple[Tuple, int, int]] = None) -> Optional[List[Dict]]:
     """
     Load a pair from file,
     :return dict OR empty if unsuccesful
@@ -57,12 +58,12 @@ def load_tickerdata_file(datadir, pair, ticker_interval, timerange=None):
     return pairdata
 
 
-def load_data(datadir: str, ticker_interval: int, pairs: Optional[List[str]] = None,
-              refresh_pairs: Optional[bool] = False, timerange=None) -> Dict[str, List]:
+def load_data(datadir: str, ticker_interval: int,
+              pairs: Optional[List[str]] = None,
+              refresh_pairs: Optional[bool] = False,
+              timerange: Optional[Tuple[Tuple, int, int]] = None) -> Dict[str, List]:
     """
     Loads ticker history data for the given parameters
-    :param ticker_interval: ticker interval in minutes
-    :param pairs: list of pairs
     :return: dict
     """
     result = {}
@@ -85,21 +86,13 @@ def load_data(datadir: str, ticker_interval: int, pairs: Optional[List[str]] = N
     return result
 
 
-def tickerdata_to_dataframe(data):
-    preprocessed = preprocess(data)
-    return preprocessed
-
-
-def preprocess(tickerdata: Dict[str, List]) -> Dict[str, DataFrame]:
-    """Creates a dataframe and populates indicators for given ticker data"""
-    return {pair: populate_indicators(parse_ticker_dataframe(pair_data))
-            for pair, pair_data in tickerdata.items()}
-
-
 def make_testdata_path(datadir: str) -> str:
     """Return the path where testdata files are stored"""
-    return datadir or os.path.abspath(os.path.join(os.path.dirname(__file__),
-                                                   '..', 'tests', 'testdata'))
+    return datadir or os.path.abspath(
+        os.path.join(
+            os.path.dirname(__file__), '..', 'tests', 'testdata'
+        )
+    )
 
 
 def download_pairs(datadir, pairs: List[str], ticker_interval: int) -> bool:
@@ -108,19 +101,15 @@ def download_pairs(datadir, pairs: List[str], ticker_interval: int) -> bool:
         try:
             download_backtesting_testdata(datadir, pair=pair, interval=ticker_interval)
         except BaseException:
-            logger.info('Failed to download the pair: "{pair}", Interval: {interval} min'.format(
-                pair=pair,
-                interval=ticker_interval,
-            ))
+            logger.info(
+                'Failed to download the pair: "%s", Interval: %s min',
+                pair,
+                ticker_interval
+            )
             return False
     return True
 
 
-def file_dump_json(filename, data):
-    with open(filename, "wt") as fp:
-        json.dump(data, fp)
-
-
 # FIX: 20180110, suggest rename interval to tick_interval
 def download_backtesting_testdata(datadir: str, pair: str, interval: int = 5) -> bool:
     """
@@ -131,10 +120,11 @@ def download_backtesting_testdata(datadir: str, pair: str, interval: int = 5) ->
     """
 
     path = make_testdata_path(datadir)
-    logger.info('Download the pair: "{pair}", Interval: {interval} min'.format(
-        pair=pair,
-        interval=interval,
-    ))
+    logger.info(
+        'Download the pair: "%s", Interval: %s min',
+        pair,
+        interval
+    )
 
     filepair = pair.replace("-", "_")
     filename = os.path.join(path, '{pair}-{interval}.json'.format(
@@ -143,10 +133,10 @@ def download_backtesting_testdata(datadir: str, pair: str, interval: int = 5) ->
     ))
 
     if os.path.isfile(filename):
-        with open(filename, "rt") as fp:
-            data = json.load(fp)
-        logger.debug("Current Start: {}".format(data[1]['T']))
-        logger.debug("Current End: {}".format(data[-1:][0]['T']))
+        with open(filename, "rt") as file:
+            data = json.load(file)
+        logger.debug("Current Start: %s", data[1]['T'])
+        logger.debug("Current End: %s", data[-1:][0]['T'])
     else:
         data = []
         logger.debug("Current Start: None")
@@ -156,8 +146,8 @@ def download_backtesting_testdata(datadir: str, pair: str, interval: int = 5) ->
     for row in new_data:
         if row not in data:
             data.append(row)
-    logger.debug("New Start: {}".format(data[1]['T']))
-    logger.debug("New End: {}".format(data[-1:][0]['T']))
+    logger.debug("New Start: %s", data[1]['T'])
+    logger.debug("New End: %s", data[-1:][0]['T'])
     data = sorted(data, key=lambda data: data['T'])
 
     misc.file_dump_json(filename, data)

freqtrade/optimize/backtesting.py

@@ -1,24 +1,60 @@
-# pragma pylint: disable=missing-docstring,W0212
+# pragma pylint: disable=missing-docstring, W0212, too-many-arguments
 
-import logging
-from typing import Dict, Tuple
+"""
+This module contains the backtesting logic
+"""
+from argparse import Namespace
+from typing import Dict, Tuple, Any, List, Optional
 
 import arrow
 from pandas import DataFrame, Series
 from tabulate import tabulate
 
-import freqtrade.misc as misc
 import freqtrade.optimize as optimize
 from freqtrade import exchange
-from freqtrade.analyze import populate_buy_trend, populate_sell_trend
+from freqtrade.analyze import Analyze
+from freqtrade.arguments import Arguments
+from freqtrade.configuration import Configuration
 from freqtrade.exchange import Bittrex
-from freqtrade.main import should_sell
+from freqtrade.logger import Logger
+from freqtrade.misc import file_dump_json
 from freqtrade.persistence import Trade
-from freqtrade.strategy.strategy import Strategy
-
-logger = logging.getLogger(__name__)
 
 
+class Backtesting(object):
+    """
+    Backtesting class, this class contains all the logic to run a backtest
+
+    To run a backtest:
+    backtesting = Backtesting(config)
+    backtesting.start()
+    """
+    def __init__(self, config: Dict[str, Any]) -> None:
+
+        # Init the logger
+        self.logging = Logger(name=__name__, level=config['loglevel'])
+        self.logger = self.logging.get_logger()
+        self.config = config
+        self.analyze = None
+        self.ticker_interval = None
+        self.tickerdata_to_dataframe = None
+        self.populate_buy_trend = None
+        self.populate_sell_trend = None
+        self._init()
+
+    def _init(self) -> None:
+        """
+        Init objects required for backtesting
+        :return: None
+        """
+        self.analyze = Analyze(self.config)
+        self.ticker_interval = self.analyze.strategy.ticker_interval
+        self.tickerdata_to_dataframe = self.analyze.tickerdata_to_dataframe
+        self.populate_buy_trend = self.analyze.populate_buy_trend
+        self.populate_sell_trend = self.analyze.populate_sell_trend
+        exchange._API = Bittrex({'key': '', 'secret': ''})
+
+    @staticmethod
     def get_timeframe(data: Dict[str, DataFrame]) -> Tuple[arrow.Arrow, arrow.Arrow]:
         """
         Get the maximum timeframe for the given backtest data
@@ -31,13 +67,13 @@ def get_timeframe(data: Dict[str, DataFrame]) -> Tuple[arrow.Arrow, arrow.Arrow]
         all_dates.sort_values(inplace=True)
         return arrow.get(all_dates.iloc[0]), arrow.get(all_dates.iloc[-1])
 
-
-def generate_text_table(
-        data: Dict[str, Dict], results: DataFrame, stake_currency) -> str:
+    def _generate_text_table(self, data: Dict[str, Dict], results: DataFrame) -> str:
         """
         Generates and returns a text table for the given backtest data and the results dataframe
         :return: pretty printed table with tabulate as str
         """
+        stake_currency = self.config.get('stake_currency')
+
         floatfmt = ('s', 'd', '.2f', '.8f', '.1f')
         tabular_data = []
         headers = ['pair', 'buy count', 'avg profit %',
@@ -66,11 +102,14 @@ def generate_text_table(
         ])
         return tabulate(tabular_data, headers=headers, floatfmt=floatfmt)
 
+    def _get_sell_trade_entry(
+            self, pair: str, buy_row: DataFrame,
+            partial_ticker: List, trade_count_lock: Dict, args: Dict) -> Optional[Tuple]:
 
-def get_sell_trade_entry(pair, buy_row, partial_ticker, trade_count_lock, args):
         stake_amount = args['stake_amount']
         max_open_trades = args.get('max_open_trades', 0)
-    trade = Trade(open_rate=buy_row.close,
+        trade = Trade(
+            open_rate=buy_row.close,
             open_date=buy_row.date,
             stake_amount=stake_amount,
             amount=stake_amount / buy_row.open,
@@ -84,18 +123,27 @@ def get_sell_trade_entry(pair, buy_row, partial_ticker, trade_count_lock, args):
                 trade_count_lock[sell_row.date] = trade_count_lock.get(sell_row.date, 0) + 1
 
             buy_signal = sell_row.buy
-        if should_sell(trade, sell_row.close, sell_row.date, buy_signal, sell_row.sell):
-            return sell_row, (pair,
+            if self.analyze.should_sell(trade, sell_row.close, sell_row.date, buy_signal,
+                                        sell_row.sell):
+                return \
+                    sell_row, \
+                    (
+                        pair,
                         trade.calc_profit_percent(rate=sell_row.close),
                         trade.calc_profit(rate=sell_row.close),
                         (sell_row.date - buy_row.date).seconds // 60
-                              ), sell_row.date
+                    ), \
+                    sell_row.date
         return None
 
-
-def backtest(args) -> DataFrame:
+    def backtest(self, args: Dict) -> DataFrame:
         """
         Implements backtesting functionality
+
+        NOTE: This method is used by Hyperopt at each iteration. Please keep it optimized.
+        Of course try to not have ugly code. By some accessor are sometime slower than functions.
+        Avoid, logging on this method
+
         :param args: a dict containing:
             stake_amount: btc amount to use for each trade
             processed: a processed dictionary with format {pair, data}
@@ -112,12 +160,11 @@ def backtest(args) -> DataFrame:
         record = args.get('record', None)
         records = []
         trades = []
-    trade_count_lock: dict = {}
-    exchange._API = Bittrex({'key': '', 'secret': ''})
+        trade_count_lock = {}
         for pair, pair_data in processed.items():
             pair_data['buy'], pair_data['sell'] = 0, 0  # cleanup from previous run
 
-        ticker_data = populate_sell_trend(populate_buy_trend(pair_data))[headers]
+            ticker_data = self.populate_sell_trend(self.populate_buy_trend(pair_data))[headers]
             ticker = [x for x in ticker_data.itertuples()]
 
             lock_pair_until = None
@@ -132,9 +179,12 @@ def backtest(args) -> DataFrame:
                     # Check if max_open_trades has already been reached for the given date
                     if not trade_count_lock.get(row.date, 0) < max_open_trades:
                         continue
+
                     trade_count_lock[row.date] = trade_count_lock.get(row.date, 0) + 1
 
-            ret = get_sell_trade_entry(pair, row, ticker[index+1:], trade_count_lock, args)
+                ret = self._get_sell_trade_entry(pair, row, ticker[index + 1:],
+                                                 trade_count_lock, args)
+
                 if ret:
                     row2, trade_entry, next_date = ret
                     lock_pair_until = next_date
@@ -150,82 +200,113 @@ def backtest(args) -> DataFrame:
         # For now export inside backtest(), maybe change so that backtest()
         # returns a tuple like: (dataframe, records, logs, etc)
         if record and record.find('trades') >= 0:
-        logger.info('Dumping backtest results')
-        misc.file_dump_json('backtest-result.json', records)
+            self.logger.info('Dumping backtest results')
+            file_dump_json('backtest-result.json', records)
         labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
         return DataFrame.from_records(trades, columns=labels)
 
+    def start(self) -> None:
+        """
+        Run a backtesting end-to-end
+        :return: None
+        """
+        data = {}
+        pairs = self.config['exchange']['pair_whitelist']
+        self.logger.info('Using stake_currency: %s ...', self.config['stake_currency'])
+        self.logger.info('Using stake_amount: %s ...', self.config['stake_amount'])
 
-def start(args):
-    # Initialize logger
-    logging.basicConfig(
-        level=args.loglevel,
-        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+        if self.config.get('live'):
+            self.logger.info('Downloading data for all pairs in whitelist ...')
+            for pair in pairs:
+                data[pair] = exchange.get_ticker_history(pair, self.ticker_interval)
+        else:
+            self.logger.info('Using local backtesting data (using whitelist in given config) ...')
+
+            timerange = Arguments.parse_timerange(self.config.get('timerange'))
+            data = optimize.load_data(
+                self.config['datadir'],
+                pairs=pairs,
+                ticker_interval=self.ticker_interval,
+                refresh_pairs=self.config.get('refresh_pairs', False),
+                timerange=timerange
             )
 
-    exchange._API = Bittrex({'key': '', 'secret': ''})
-
-    logger.info('Using config: %s ...', args.config)
-    config = misc.load_config(args.config)
-
-    # If -i/--ticker-interval is use we override the configuration parameter
-    # (that will override the strategy configuration)
-    if args.ticker_interval:
-        config.update({'ticker_interval': args.ticker_interval})
-
-    # init the strategy to use
-    config.update({'strategy': args.strategy})
-    strategy = Strategy()
-    strategy.init(config)
-
-    logger.info('Using ticker_interval: %d ...', strategy.ticker_interval)
-
-    data = {}
-    pairs = config['exchange']['pair_whitelist']
-    logger.info('Using stake_currency: %s ...', config['stake_currency'])
-    logger.info('Using stake_amount: %s ...', config['stake_amount'])
-
-    if args.live:
-        logger.info('Downloading data for all pairs in whitelist ...')
-        for pair in pairs:
-            data[pair] = exchange.get_ticker_history(pair, strategy.ticker_interval)
+        # Ignore max_open_trades in backtesting, except realistic flag was passed
+        if self.config.get('realistic_simulation', False):
+            max_open_trades = self.config['max_open_trades']
         else:
-        logger.info('Using local backtesting data (using whitelist in given config) ...')
-
-        timerange = misc.parse_timerange(args.timerange)
-        data = optimize.load_data(args.datadir,
-                                  pairs=pairs,
-                                  ticker_interval=strategy.ticker_interval,
-                                  refresh_pairs=args.refresh_pairs,
-                                  timerange=timerange)
+            self.logger.info('Ignoring max_open_trades (realistic_simulation not set) ...')
             max_open_trades = 0
-    if args.realistic_simulation:
-        logger.info('Using max_open_trades: %s ...', config['max_open_trades'])
-        max_open_trades = config['max_open_trades']
 
-    # Monkey patch config
-    from freqtrade import main
-    main._CONF = config
+        preprocessed = self.tickerdata_to_dataframe(data)
 
-    preprocessed = optimize.tickerdata_to_dataframe(data)
         # Print timeframe
-    min_date, max_date = get_timeframe(preprocessed)
-    logger.info('Measuring data from %s up to %s (%s days)..',
+        min_date, max_date = self.get_timeframe(preprocessed)
+        self.logger.info(
+            'Measuring data from %s up to %s (%s days)..',
             min_date.isoformat(),
             max_date.isoformat(),
-                (max_date-min_date).days)
+            (max_date - min_date).days
+        )
+
         # Execute backtest and print results
-    sell_profit_only = config.get('experimental', {}).get('sell_profit_only', False)
-    use_sell_signal = config.get('experimental', {}).get('use_sell_signal', False)
-    results = backtest({'stake_amount': config['stake_amount'],
+        sell_profit_only = self.config.get('experimental', {}).get('sell_profit_only', False)
+        use_sell_signal = self.config.get('experimental', {}).get('use_sell_signal', False)
+        results = self.backtest(
+            {
+                'stake_amount': self.config.get('stake_amount'),
                 'processed': preprocessed,
                 'max_open_trades': max_open_trades,
-                        'realistic': args.realistic_simulation,
+                'realistic': self.config.get('realistic_simulation', False),
                 'sell_profit_only': sell_profit_only,
                 'use_sell_signal': use_sell_signal,
-                        'record': args.export
-                        })
-    logger.info(
-        '\n==================================== BACKTESTING REPORT ====================================\n%s',  # noqa
-        generate_text_table(data, results, config['stake_currency'])
+                'record': self.config.get('export')
+            }
         )
+
+        self.logging.set_format('%(message)s')
+        self.logger.info(
+            '\n==================================== '
+            'BACKTESTING REPORT'
+            ' ====================================\n'
+            '%s',
+            self._generate_text_table(
+                data,
+                results
+            )
+        )
+
+
+def setup_configuration(args: Namespace) -> Dict[str, Any]:
+    """
+    Prepare the configuration for the backtesting
+    :param args: Cli args from Arguments()
+    :return: Configuration
+    """
+    configuration = Configuration(args)
+    config = configuration.get_config()
+
+    # Ensure we do not use Exchange credentials
+    config['exchange']['key'] = ''
+    config['exchange']['secret'] = ''
+
+    return config
+
+
+def start(args: Namespace) -> None:
+    """
+    Start Backtesting script
+    :param args: Cli args from Arguments()
+    :return: None
+    """
+
+    # Initialize logger
+    logger = Logger(name=__name__).get_logger()
+    logger.info('Starting freqtrade in Backtesting mode')
+
+    # Initialize configuration
+    config = setup_configuration(args)
+
+    # Initialize backtesting object
+    backtesting = Backtesting(config)
+    backtesting.start()

freqtrade/optimize/hyperopt.py

@@ -1,5 +1,8 @@
-# pragma pylint: disable=missing-docstring,W0212,W0603
+# pragma pylint: disable=too-many-instance-attributes, pointless-string-statement
 
+"""
+This module contains the hyperopt logic
+"""
 
 import json
 import logging
@@ -7,6 +10,7 @@ import os
 import pickle
 import signal
 import sys
+from argparse import Namespace
 from functools import reduce
 from math import exp
 from operator import itemgetter
@@ -19,48 +23,54 @@ from hyperopt.mongoexp import MongoTrials
 from pandas import DataFrame
 
 import freqtrade.vendor.qtpylib.indicators as qtpylib
-# Monkey patch config
-from freqtrade import main  # noqa; noqa
-from freqtrade import exchange, misc, optimize
-from freqtrade.exchange import Bittrex
-from freqtrade.misc import load_config
-from freqtrade.optimize import backtesting
-from freqtrade.optimize.backtesting import backtest
-from freqtrade.strategy.strategy import Strategy
+from freqtrade.arguments import Arguments
+from freqtrade.configuration import Configuration
+from freqtrade.logger import Logger
+from freqtrade.optimize import load_data
+from freqtrade.optimize.backtesting import Backtesting
 from user_data.hyperopt_conf import hyperopt_optimize_conf
 
-# Remove noisy log messages
-logging.getLogger('hyperopt.mongoexp').setLevel(logging.WARNING)
-logging.getLogger('hyperopt.tpe').setLevel(logging.WARNING)
 
-logger = logging.getLogger(__name__)
+class Hyperopt(Backtesting):
+    """
+    Hyperopt class, this class contains all the logic to run a hyperopt simulation
 
-# set TARGET_TRADES to suit your number concurrent trades so its realistic to the number of days
-TARGET_TRADES = 600
-TOTAL_TRIES = 0
-_CURRENT_TRIES = 0
-CURRENT_BEST_LOSS = 100
+    To run a backtest:
+    hyperopt = Hyperopt(config)
+    hyperopt.start()
+    """
+    def __init__(self, config: Dict[str, Any]) -> None:
+
+        super().__init__(config)
+
+        # Rename the logging to display Hyperopt file instead of Backtesting
+        self.logging = Logger(name=__name__, level=config['loglevel'])
+        self.logger = self.logging.get_logger()
+
+        # set TARGET_TRADES to suit your number concurrent trades so its realistic
+        # to the number of days
+        self.target_trades = 600
+        self.total_tries = config.get('epochs', 0)
+        self.current_tries = 0
+        self.current_best_loss = 100
 
         # max average trade duration in minutes
         # if eval ends with higher value, we consider it a failed eval
-MAX_ACCEPTED_TRADE_DURATION = 300
+        self.max_accepted_trade_duration = 300
 
         # this is expexted avg profit * expected trade count
-# for example 3.5%, 1100 trades, EXPECTED_MAX_PROFIT = 3.85
+        # for example 3.5%, 1100 trades, self.expected_max_profit = 3.85
         # check that the reported Σ% values do not exceed this!
-EXPECTED_MAX_PROFIT = 3.0
+        self.expected_max_profit = 3.0
 
         # Configuration and data used by hyperopt
-PROCESSED = None  # optimize.preprocess(optimize.load_data())
-OPTIMIZE_CONFIG = hyperopt_optimize_conf()
+        self.processed = None
 
         # Hyperopt Trials
-TRIALS_FILE = os.path.join('user_data', 'hyperopt_trials.pickle')
-TRIALS = Trials()
-
-main._CONF = OPTIMIZE_CONFIG
-
+        self.trials_file = os.path.join('user_data', 'hyperopt_trials.pickle')
+        self.trials = Trials()
 
+    @staticmethod
     def populate_indicators(dataframe: DataFrame) -> DataFrame:
         """
         Adds several different TA indicators to the given DataFrame
@@ -180,52 +190,61 @@ def populate_indicators(dataframe: DataFrame) -> DataFrame:
 
         return dataframe
 
+    def save_trials(self) -> None:
+        """
+        Save hyperopt trials to file
+        """
+        self.logger.info('Saving Trials to \'%s\'', self.trials_file)
+        pickle.dump(self.trials, open(self.trials_file, 'wb'))
 
-def save_trials(trials, trials_path=TRIALS_FILE):
-    """Save hyperopt trials to file"""
-    logger.info('Saving Trials to \'{}\''.format(trials_path))
-    pickle.dump(trials, open(trials_path, 'wb'))
-
-
-def read_trials(trials_path=TRIALS_FILE):
-    """Read hyperopt trials file"""
-    logger.info('Reading Trials from \'{}\''.format(trials_path))
-    trials = pickle.load(open(trials_path, 'rb'))
-    os.remove(trials_path)
+    def read_trials(self) -> Trials:
+        """
+        Read hyperopt trials file
+        """
+        self.logger.info('Reading Trials from \'%s\'', self.trials_file)
+        trials = pickle.load(open(self.trials_file, 'rb'))
+        os.remove(self.trials_file)
         return trials
 
+    def log_trials_result(self) -> None:
+        """
+        Display Best hyperopt result
+        """
+        vals = json.dumps(self.trials.best_trial['misc']['vals'], indent=4)
+        results = self.trials.best_trial['result']['result']
+        self.logger.info('Best result:\n%s\nwith values:\n%s', results, vals)
 
-def log_trials_result(trials):
-    vals = json.dumps(trials.best_trial['misc']['vals'], indent=4)
-    results = trials.best_trial['result']['result']
-    logger.info('Best result:\n%s\nwith values:\n%s', results, vals)
-
-
-def log_results(results):
-    """ log results if it is better than any previous evaluation """
-    global CURRENT_BEST_LOSS
-
-    if results['loss'] < CURRENT_BEST_LOSS:
-        CURRENT_BEST_LOSS = results['loss']
-        logger.info('{:5d}/{}: {}. Loss {:.5f}'.format(
+    def log_results(self, results) -> None:
+        """
+        Log results if it is better than any previous evaluation
+        """
+        if results['loss'] < self.current_best_loss:
+            self.current_best_loss = results['loss']
+            log_msg = '{:5d}/{}: {}. Loss {:.5f}'.format(
                 results['current_tries'],
                 results['total_tries'],
                 results['result'],
-            results['loss']))
+                results['loss']
+            )
+            self.logger.info(log_msg)
         else:
             print('.', end='')
             sys.stdout.flush()
 
-
-def calculate_loss(total_profit: float, trade_count: int, trade_duration: float):
-    """ objective function, returns smaller number for more optimal results """
-    trade_loss = 1 - 0.25 * exp(-(trade_count - TARGET_TRADES) ** 2 / 10 ** 5.8)
-    profit_loss = max(0, 1 - total_profit / EXPECTED_MAX_PROFIT)
-    duration_loss = 0.4 * min(trade_duration / MAX_ACCEPTED_TRADE_DURATION, 1)
+    def calculate_loss(self, total_profit: float, trade_count: int, trade_duration: float) -> float:
+        """
+        Objective function, returns smaller number for more optimal results
+        """
+        trade_loss = 1 - 0.25 * exp(-(trade_count - self.target_trades) ** 2 / 10 ** 5.8)
+        profit_loss = max(0, 1 - total_profit / self.expected_max_profit)
+        duration_loss = 0.4 * min(trade_duration / self.max_accepted_trade_duration, 1)
         return trade_loss + profit_loss + duration_loss
 
-
-def generate_roi_table(params) -> Dict[int, float]:
+    @staticmethod
+    def generate_roi_table(params: Dict) -> Dict[int, float]:
+        """
+        Generate the ROI table thqt will be used by Hyperopt
+        """
         roi_table = {}
         roi_table[0] = params['roi_p1'] + params['roi_p2'] + params['roi_p3']
         roi_table[params['roi_t3']] = params['roi_p1'] + params['roi_p2']
@@ -234,8 +253,11 @@ def generate_roi_table(params) -> Dict[int, float]:
 
         return roi_table
 
-
+    @staticmethod
     def roi_space() -> Dict[str, Any]:
+        """
+        Values to search for each ROI steps
+        """
         return {
             'roi_t1': hp.quniform('roi_t1', 10, 120, 20),
             'roi_t2': hp.quniform('roi_t2', 10, 60, 15),
@@ -245,13 +267,16 @@ def roi_space() -> Dict[str, Any]:
             'roi_p3': hp.quniform('roi_p3', 0.01, 0.20, 0.01),
         }
 
-
+    @staticmethod
     def stoploss_space() -> Dict[str, Any]:
+        """
+        Stoploss Value to search
+        """
         return {
             'stoploss': hp.quniform('stoploss', -0.5, -0.02, 0.02),
         }
 
-
+    @staticmethod
     def indicator_space() -> Dict[str, Any]:
         """
         Define your Hyperopt space for searching strategy parameters
@@ -311,29 +336,36 @@ def indicator_space() -> Dict[str, Any]:
             ]),
         }
 
-
-def has_space(spaces, space):
-    if space in spaces or 'all' in spaces:
+    def has_space(self, space: str) -> bool:
+        """
+        Tell if a space value is contained in the configuration
+        """
+        if space in self.config['spaces'] or 'all' in self.config['spaces']:
             return True
         return False
 
-
-def hyperopt_space(selected_spaces: str) -> Dict[str, Any]:
+    def hyperopt_space(self) -> Dict[str, Any]:
+        """
+        Return the space to use during Hyperopt
+        """
         spaces = {}
-    if has_space(selected_spaces, 'buy'):
-        spaces = {**spaces, **indicator_space()}
-    if has_space(selected_spaces, 'roi'):
-        spaces = {**spaces, **roi_space()}
-    if has_space(selected_spaces, 'stoploss'):
-        spaces = {**spaces, **stoploss_space()}
+        if self.has_space('buy'):
+            spaces = {**spaces, **Hyperopt.indicator_space()}
+        if self.has_space('roi'):
+            spaces = {**spaces, **Hyperopt.roi_space()}
+        if self.has_space('stoploss'):
+            spaces = {**spaces, **Hyperopt.stoploss_space()}
         return spaces
 
-
+    @staticmethod
     def buy_strategy_generator(params: Dict[str, Any]) -> Callable:
         """
         Define the buy strategy parameters to be used by hyperopt
         """
         def populate_buy_trend(dataframe: DataFrame) -> DataFrame:
+            """
+            Buy strategy Hyperopt will build and use
+            """
             conditions = []
             # GUARDS AND TRENDS
             if 'uptrend_long_ema' in params and params['uptrend_long_ema']['enabled']:
@@ -402,48 +434,48 @@ def buy_strategy_generator(params: Dict[str, Any]) -> Callable:
 
         return populate_buy_trend
 
+    def generate_optimizer(self, params: Dict) -> Dict:
+        if self.has_space('roi'):
+            self.analyze.strategy.minimal_roi = self.generate_roi_table(params)
 
-def generate_optimizer(args):
-    def optimizer(params):
-        global _CURRENT_TRIES
+        if self.has_space('buy'):
+            self.populate_buy_trend = self.buy_strategy_generator(params)
 
-        strategy = Strategy()
-        if has_space(args.spaces, 'roi'):
-            strategy.minimal_roi = generate_roi_table(params)
+        if self.has_space('stoploss'):
+            self.analyze.strategy.stoploss = params['stoploss']
 
-        if has_space(args.spaces, 'buy'):
-            backtesting.populate_buy_trend = buy_strategy_generator(params)
-
-        if has_space(args.spaces, 'stoploss'):
-            strategy.stoploss = params['stoploss']
-
-        results = backtest({'stake_amount': OPTIMIZE_CONFIG['stake_amount'],
-                            'processed': PROCESSED,
-                            'realistic': args.realistic_simulation,
-                            })
-        result_explanation = format_results(results)
+        results = self.backtest(
+            {
+                'stake_amount': self.config['stake_amount'],
+                'processed': self.processed,
+                'realistic': self.config.get('realistic_simulation', False),
+            }
+        )
+        result_explanation = self.format_results(results)
 
         total_profit = results.profit_percent.sum()
         trade_count = len(results.index)
         trade_duration = results.duration.mean()
 
-        if trade_count == 0 or trade_duration > MAX_ACCEPTED_TRADE_DURATION:
+        if trade_count == 0 or trade_duration > self.max_accepted_trade_duration:
             print('.', end='')
             return {
                 'status': STATUS_FAIL,
                 'loss': float('inf')
             }
 
-        loss = calculate_loss(total_profit, trade_count, trade_duration)
+        loss = self.calculate_loss(total_profit, trade_count, trade_duration)
 
-        _CURRENT_TRIES += 1
+        self.current_tries += 1
 
-        log_results({
+        self.log_results(
+            {
                 'loss': loss,
-            'current_tries': _CURRENT_TRIES,
-            'total_tries': TOTAL_TRIES,
+                'current_tries': self.current_tries,
+                'total_tries': self.total_tries,
                 'result': result_explanation,
-        })
+            }
+        )
 
         return {
             'loss': loss,
@@ -451,10 +483,11 @@ def generate_optimizer(args):
             'result': result_explanation,
         }
 
-    return optimizer
-
-
-def format_results(results: DataFrame):
+    @staticmethod
+    def format_results(results: DataFrame) -> str:
+        """
+        Return the format result in a string
+        """
         return ('{:6d} trades. Avg profit {: 5.2f}%. '
                 'Total profit {: 11.8f} BTC ({:.4f}Σ%). Avg duration {:5.1f} mins.').format(
                     len(results.index),
@@ -464,71 +497,58 @@ def format_results(results: DataFrame):
                     results.duration.mean(),
                 )
 
-
-def start(args):
-    global TOTAL_TRIES, PROCESSED, TRIALS, _CURRENT_TRIES
-
-    TOTAL_TRIES = args.epochs
-
-    exchange._API = Bittrex({'key': '', 'secret': ''})
-
-    # Initialize logger
-    logging.basicConfig(
-        level=args.loglevel,
-        format='\n%(message)s',
+    def start(self) -> None:
+        timerange = Arguments.parse_timerange(self.config.get('timerange'))
+        data = load_data(
+            datadir=self.config.get('datadir'),
+            pairs=self.config['exchange']['pair_whitelist'],
+            ticker_interval=self.ticker_interval,
+            timerange=timerange
         )
 
-    logger.info('Using config: %s ...', args.config)
-    config = load_config(args.config)
-    pairs = config['exchange']['pair_whitelist']
+        if self.has_space('buy'):
+            self.analyze.populate_indicators = Hyperopt.populate_indicators
+        self.processed = self.tickerdata_to_dataframe(data)
 
-    # If -i/--ticker-interval is use we override the configuration parameter
-    # (that will override the strategy configuration)
-    if args.ticker_interval:
-        config.update({'ticker_interval': args.ticker_interval})
-
-    # init the strategy to use
-    config.update({'strategy': args.strategy})
-    strategy = Strategy()
-    strategy.init(config)
-
-    timerange = misc.parse_timerange(args.timerange)
-    data = optimize.load_data(args.datadir, pairs=pairs,
-                              ticker_interval=strategy.ticker_interval,
-                              timerange=timerange)
-    if has_space(args.spaces, 'buy'):
-        optimize.populate_indicators = populate_indicators
-    PROCESSED = optimize.tickerdata_to_dataframe(data)
-
-    if args.mongodb:
-        logger.info('Using mongodb ...')
-        logger.info('Start scripts/start-mongodb.sh and start-hyperopt-worker.sh manually!')
+        if self.config.get('mongodb'):
+            self.logger.info('Using mongodb ...')
+            self.logger.info(
+                'Start scripts/start-mongodb.sh and start-hyperopt-worker.sh manually!'
+            )
 
             db_name = 'freqtrade_hyperopt'
-        TRIALS = MongoTrials('mongo://127.0.0.1:1234/{}/jobs'.format(db_name), exp_key='exp1')
+            self.trials = MongoTrials(
+                arg='mongo://127.0.0.1:1234/{}/jobs'.format(db_name),
+                exp_key='exp1'
+            )
         else:
-        logger.info('Preparing Trials..')
-        signal.signal(signal.SIGINT, signal_handler)
+            self.logger.info('Preparing Trials..')
+            signal.signal(signal.SIGINT, self.signal_handler)
             # read trials file if we have one
-        if os.path.exists(TRIALS_FILE):
-            TRIALS = read_trials()
+            if os.path.exists(self.trials_file) and os.path.getsize(self.trials_file) > 0:
+                self.trials = self.read_trials()
 
-            _CURRENT_TRIES = len(TRIALS.results)
-            TOTAL_TRIES = TOTAL_TRIES + _CURRENT_TRIES
-            logger.info(
-                'Continuing with trials. Current: {}, Total: {}'
-                .format(_CURRENT_TRIES, TOTAL_TRIES))
-
-    try:
-        best_parameters = fmin(
-            fn=generate_optimizer(args),
-            space=hyperopt_space(args.spaces),
-            algo=tpe.suggest,
-            max_evals=TOTAL_TRIES,
-            trials=TRIALS
+                self.current_tries = len(self.trials.results)
+                self.total_tries += self.current_tries
+                self.logger.info(
+                    'Continuing with trials. Current: %d, Total: %d',
+                    self.current_tries,
+                    self.total_tries
                 )
 
-        results = sorted(TRIALS.results, key=itemgetter('loss'))
+        try:
+            # change the Logging format
+            self.logging.set_format('\n%(message)s')
+
+            best_parameters = fmin(
+                fn=self.generate_optimizer,
+                space=self.hyperopt_space(),
+                algo=tpe.suggest,
+                max_evals=self.total_tries,
+                trials=self.trials
+            )
+
+            results = sorted(self.trials.results, key=itemgetter('loss'))
             best_result = results[0]['result']
 
         except ValueError:
@@ -539,23 +559,58 @@ def start(args):
         # Improve best parameter logging display
         if best_parameters:
             best_parameters = space_eval(
-            hyperopt_space(args.spaces),
+                self.hyperopt_space(),
                 best_parameters
             )
 
-    logger.info('Best parameters:\n%s', json.dumps(best_parameters, indent=4))
+        self.logger.info('Best parameters:\n%s', json.dumps(best_parameters, indent=4))
         if 'roi_t1' in best_parameters:
-        logger.info('ROI table:\n%s', generate_roi_table(best_parameters))
-    logger.info('Best Result:\n%s', best_result)
+            self.logger.info('ROI table:\n%s', self.generate_roi_table(best_parameters))
+
+        self.logger.info('Best Result:\n%s', best_result)
 
         # Store trials result to file to resume next time
-    save_trials(TRIALS)
+        self.save_trials()
 
+    def signal_handler(self, sig, frame) -> None:
+        """
+        Hyperopt SIGINT handler
+        """
+        self.logger.info(
+            'Hyperopt received %s',
+            signal.Signals(sig).name
+        )
 
-def signal_handler(sig, frame):
-    """Hyperopt SIGINT handler"""
-    logger.info('Hyperopt received {}'.format(signal.Signals(sig).name))
-
-    save_trials(TRIALS)
-    log_trials_result(TRIALS)
+        self.save_trials()
+        self.log_trials_result()
         sys.exit(0)
+
+
+def start(args: Namespace) -> None:
+    """
+    Start Backtesting script
+    :param args: Cli args from Arguments()
+    :return: None
+    """
+
+    # Remove noisy log messages
+    logging.getLogger('hyperopt.mongoexp').setLevel(logging.WARNING)
+    logging.getLogger('hyperopt.tpe').setLevel(logging.WARNING)
+
+    # Initialize logger
+    logger = Logger(name=__name__).get_logger()
+    logger.info('Starting freqtrade in Hyperopt mode')
+
+    # Initialize configuration
+    # Monkey patch the configuration with hyperopt_conf.py
+    configuration = Configuration(args)
+    optimize_config = hyperopt_optimize_conf()
+    config = configuration._load_common_config(optimize_config)
+    config = configuration._load_backtesting_config(config)
+    config = configuration._load_hyperopt_config(config)
+    config['exchange']['key'] = ''
+    config['exchange']['secret'] = ''
+
+    # Initialize backtesting object
+    hyperopt = Hyperopt(config)
+    hyperopt.start()

freqtrade/persistence.py

@@ -1,3 +1,7 @@
+"""
+This module contains the class to persist trades into SQLite
+"""
+
 import logging
 from datetime import datetime
 from decimal import Decimal, getcontext
@@ -72,6 +76,9 @@ def clean_dry_run_db() -> None:
 
 
 class Trade(_DECL_BASE):
+    """
+    Class used to define a trade structure
+    """
     __tablename__ = 'trades'
 
     id = Column(Integer, primary_key=True)
@@ -200,6 +207,7 @@ class Trade(_DECL_BASE):
         Calculates the profit in percentage (including fee).
         :param rate: rate to compare with (optional).
         If rate is not set self.close_rate will be used
+        :param fee: fee to use on the close rate (optional).
         :return: profit in percentage as float
         """
         getcontext().prec = 8

freqtrade/rpc/__init__.py

@@ -1,415 +0,0 @@
-import logging
-import re
-import arrow
-from decimal import Decimal
-from datetime import datetime, timedelta
-from pandas import DataFrame
-import sqlalchemy as sql
-# from sqlalchemy import and_, func, text
-
-from freqtrade.persistence import Trade
-from freqtrade.misc import State, get_state, update_state
-from freqtrade import exchange
-from freqtrade.fiat_convert import CryptoToFiatConverter
-from . import telegram
-
-logger = logging.getLogger(__name__)
-
-_FIAT_CONVERT = CryptoToFiatConverter()
-REGISTERED_MODULES = []
-
-
-def init(config: dict) -> None:
-    """
-    Initializes all enabled rpc modules
-    :param config: config to use
-    :return: None
-    """
-
-    if config['telegram'].get('enabled', False):
-        logger.info('Enabling rpc.telegram ...')
-        REGISTERED_MODULES.append('telegram')
-        telegram.init(config)
-
-
-def cleanup() -> None:
-    """
-    Stops all enabled rpc modules
-    :return: None
-    """
-    if 'telegram' in REGISTERED_MODULES:
-        logger.debug('Cleaning up rpc.telegram ...')
-        telegram.cleanup()
-
-
-def send_msg(msg: str) -> None:
-    """
-    Send given markdown message to all registered rpc modules
-    :param msg: message
-    :return: None
-    """
-    logger.info(msg)
-    if 'telegram' in REGISTERED_MODULES:
-        telegram.send_msg(msg)
-
-
-def shorten_date(_date):
-    """
-    Trim the date so it fits on small screens
-    """
-    new_date = re.sub('seconds?', 'sec', _date)
-    new_date = re.sub('minutes?', 'min', new_date)
-    new_date = re.sub('hours?', 'h', new_date)
-    new_date = re.sub('days?', 'd', new_date)
-    new_date = re.sub('^an?', '1', new_date)
-    return new_date
-
-
-#
-# Below follows the RPC backend
-# it is prefixed with rpc_
-# to raise awareness that it is
-# a remotely exposed function
-
-
-def rpc_trade_status():
-    # Fetch open trade
-    trades = Trade.query.filter(Trade.is_open.is_(True)).all()
-    if get_state() != State.RUNNING:
-        return (True, '*Status:* `trader is not running`')
-    elif not trades:
-        return (True, '*Status:* `no active trade`')
-    else:
-        result = []
-        for trade in trades:
-            order = None
-            if trade.open_order_id:
-                order = exchange.get_order(trade.open_order_id)
-            # calculate profit and send message to user
-            current_rate = exchange.get_ticker(trade.pair, False)['bid']
-            current_profit = trade.calc_profit_percent(current_rate)
-            fmt_close_profit = '{:.2f}%'.format(
-                round(trade.close_profit * 100, 2)
-            ) if trade.close_profit else None
-            message = """
-*Trade ID:* `{trade_id}`
-*Current Pair:* [{pair}]({market_url})
-*Open Since:* `{date}`
-*Amount:* `{amount}`
-*Open Rate:* `{open_rate:.8f}`
-*Close Rate:* `{close_rate}`
-*Current Rate:* `{current_rate:.8f}`
-*Close Profit:* `{close_profit}`
-*Current Profit:* `{current_profit:.2f}%`
-*Open Order:* `{open_order}`
-            """.format(
-                trade_id=trade.id,
-                pair=trade.pair,
-                market_url=exchange.get_pair_detail_url(trade.pair),
-                date=arrow.get(trade.open_date).humanize(),
-                open_rate=trade.open_rate,
-                close_rate=trade.close_rate,
-                current_rate=current_rate,
-                amount=round(trade.amount, 8),
-                close_profit=fmt_close_profit,
-                current_profit=round(current_profit * 100, 2),
-                open_order='({} rem={:.8f})'.format(
-                    order['type'], order['remaining']
-                ) if order else None,
-            )
-            result.append(message)
-        return (False, result)
-
-
-def rpc_status_table():
-    trades = Trade.query.filter(Trade.is_open.is_(True)).all()
-    if get_state() != State.RUNNING:
-        return (True, '*Status:* `trader is not running`')
-    elif not trades:
-        return (True, '*Status:* `no active order`')
-    else:
-        trades_list = []
-        for trade in trades:
-            # calculate profit and send message to user
-            current_rate = exchange.get_ticker(trade.pair, False)['bid']
-            trades_list.append([
-                trade.id,
-                trade.pair,
-                shorten_date(arrow.get(trade.open_date).humanize(only_distance=True)),
-                '{:.2f}%'.format(100 * trade.calc_profit_percent(current_rate))
-            ])
-
-        columns = ['ID', 'Pair', 'Since', 'Profit']
-        df_statuses = DataFrame.from_records(trades_list, columns=columns)
-        df_statuses = df_statuses.set_index(columns[0])
-        # The style used throughout is to return a tuple
-        # consisting of (error_occured?, result)
-        # Another approach would be to just return the
-        # result, or raise error
-        return (False, df_statuses)
-
-
-def rpc_daily_profit(timescale, stake_currency, fiat_display_currency):
-    today = datetime.utcnow().date()
-    profit_days = {}
-
-    if not (isinstance(timescale, int) and timescale > 0):
-        return (True, '*Daily [n]:* `must be an integer greater than 0`')
-
-    fiat = _FIAT_CONVERT
-    for day in range(0, timescale):
-        profitday = today - timedelta(days=day)
-        trades = Trade.query \
-            .filter(Trade.is_open.is_(False)) \
-            .filter(Trade.close_date >= profitday)\
-            .filter(Trade.close_date < (profitday + timedelta(days=1)))\
-            .order_by(Trade.close_date)\
-            .all()
-        curdayprofit = sum(trade.calc_profit() for trade in trades)
-        profit_days[profitday] = {
-            'amount': format(curdayprofit, '.8f'),
-            'trades': len(trades)
-        }
-
-    stats = [
-        [
-            key,
-            '{value:.8f} {symbol}'.format(
-                value=float(value['amount']),
-                symbol=stake_currency
-            ),
-            '{value:.3f} {symbol}'.format(
-                value=fiat.convert_amount(
-                    value['amount'],
-                    stake_currency,
-                    fiat_display_currency
-                ),
-                symbol=fiat_display_currency
-            ),
-            '{value} trade{s}'.format(value=value['trades'], s='' if value['trades'] < 2 else 's'),
-        ]
-        for key, value in profit_days.items()
-    ]
-    return (False, stats)
-
-
-def rpc_trade_statistics(stake_currency, fiat_display_currency) -> None:
-    """
-    :return: cumulative profit statistics.
-    """
-    trades = Trade.query.order_by(Trade.id).all()
-
-    profit_all_coin = []
-    profit_all_percent = []
-    profit_closed_coin = []
-    profit_closed_percent = []
-    durations = []
-
-    for trade in trades:
-        current_rate = None
-
-        if not trade.open_rate:
-            continue
-        if trade.close_date:
-            durations.append((trade.close_date - trade.open_date).total_seconds())
-
-        if not trade.is_open:
-            profit_percent = trade.calc_profit_percent()
-            profit_closed_coin.append(trade.calc_profit())
-            profit_closed_percent.append(profit_percent)
-        else:
-            # Get current rate
-            current_rate = exchange.get_ticker(trade.pair, False)['bid']
-            profit_percent = trade.calc_profit_percent(rate=current_rate)
-
-        profit_all_coin.append(trade.calc_profit(rate=Decimal(trade.close_rate or current_rate)))
-        profit_all_percent.append(profit_percent)
-
-    best_pair = Trade.session.query(Trade.pair,
-                                    sql.func.sum(Trade.close_profit).label('profit_sum')) \
-        .filter(Trade.is_open.is_(False)) \
-        .group_by(Trade.pair) \
-        .order_by(sql.text('profit_sum DESC')) \
-        .first()
-
-    if not best_pair:
-        return (True, '*Status:* `no closed trade`')
-
-    bp_pair, bp_rate = best_pair
-
-    # FIX: we want to keep fiatconverter in a state/environment,
-    #      doing this will utilize its caching functionallity, instead we reinitialize it here
-    fiat = _FIAT_CONVERT
-    # Prepare data to display
-    profit_closed_coin = round(sum(profit_closed_coin), 8)
-    profit_closed_percent = round(sum(profit_closed_percent) * 100, 2)
-    profit_closed_fiat = fiat.convert_amount(
-        profit_closed_coin,
-        stake_currency,
-        fiat_display_currency
-    )
-    profit_all_coin = round(sum(profit_all_coin), 8)
-    profit_all_percent = round(sum(profit_all_percent) * 100, 2)
-    profit_all_fiat = fiat.convert_amount(
-        profit_all_coin,
-        stake_currency,
-        fiat_display_currency
-    )
-    num = float(len(durations) or 1)
-    return (False,
-            {'profit_closed_coin': profit_closed_coin,
-             'profit_closed_percent': profit_closed_percent,
-             'profit_closed_fiat': profit_closed_fiat,
-             'profit_all_coin': profit_all_coin,
-             'profit_all_percent': profit_all_percent,
-             'profit_all_fiat': profit_all_fiat,
-             'trade_count': len(trades),
-             'first_trade_date': arrow.get(trades[0].open_date).humanize(),
-             'latest_trade_date': arrow.get(trades[-1].open_date).humanize(),
-             'avg_duration': str(timedelta(seconds=sum(durations) /
-                                           num)).split('.')[0],
-             'best_pair': bp_pair,
-             'best_rate': round(bp_rate * 100, 2)
-             })
-
-
-def rpc_balance(fiat_display_currency):
-    """
-    :return: current account balance per crypto
-    """
-    balances = [
-        c for c in exchange.get_balances()
-        if c['Balance'] or c['Available'] or c['Pending']
-    ]
-    if not balances:
-        return (True, '`All balances are zero.`')
-
-    output = []
-    total = 0.0
-    for currency in balances:
-        coin = currency['Currency']
-        if coin == 'BTC':
-            currency["Rate"] = 1.0
-        else:
-            if coin == 'USDT':
-                currency["Rate"] = 1.0 / exchange.get_ticker('USDT_BTC', False)['bid']
-            else:
-                currency["Rate"] = exchange.get_ticker('BTC_' + coin, False)['bid']
-        currency['BTC'] = currency["Rate"] * currency["Balance"]
-        total = total + currency['BTC']
-        output.append({'currency': currency['Currency'],
-                       'available': currency['Available'],
-                       'balance': currency['Balance'],
-                       'pending': currency['Pending'],
-                       'est_btc': currency['BTC']
-                       })
-    fiat = _FIAT_CONVERT
-    symbol = fiat_display_currency
-    value = fiat.convert_amount(total, 'BTC', symbol)
-    return (False, (output, total, symbol, value))
-
-
-def rpc_start():
-    """
-    Handler for start.
-    """
-    if get_state() == State.RUNNING:
-        return (True, '*Status:* `already running`')
-    else:
-        update_state(State.RUNNING)
-
-
-def rpc_stop():
-    """
-    Handler for stop.
-    """
-    if get_state() == State.RUNNING:
-        update_state(State.STOPPED)
-        return (False, '`Stopping trader ...`')
-    else:
-        return (True, '*Status:* `already stopped`')
-
-
-# FIX: no test for this!!!!
-def rpc_forcesell(trade_id) -> None:
-    """
-    Handler for forcesell <id>.
-    Sells the given trade at current price
-    :return: error or None
-    """
-    def _exec_forcesell(trade: Trade) -> str:
-        # Check if there is there is an open order
-        if trade.open_order_id:
-            order = exchange.get_order(trade.open_order_id)
-
-            # Cancel open LIMIT_BUY orders and close trade
-            if order and not order['closed'] and order['type'] == 'LIMIT_BUY':
-                exchange.cancel_order(trade.open_order_id)
-                trade.close(order.get('rate') or trade.open_rate)
-                # TODO: sell amount which has been bought already
-                return
-
-            # Ignore trades with an attached LIMIT_SELL order
-            if order and not order['closed'] and order['type'] == 'LIMIT_SELL':
-                return
-
-        # Get current rate and execute sell
-        current_rate = exchange.get_ticker(trade.pair, False)['bid']
-        from freqtrade.main import execute_sell
-        execute_sell(trade, current_rate)
-    # ---- EOF def _exec_forcesell ----
-
-    if get_state() != State.RUNNING:
-        return (True, '`trader is not running`')
-
-    if trade_id == 'all':
-        # Execute sell for all open orders
-        for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
-            _exec_forcesell(trade)
-        return (False, '')
-
-    # Query for trade
-    trade = Trade.query.filter(sql.and_(
-        Trade.id == trade_id,
-        Trade.is_open.is_(True)
-    )).first()
-    if not trade:
-        logger.warning('forcesell: Invalid argument received')
-        return (True, 'Invalid argument.')
-
-    _exec_forcesell(trade)
-    return (False, '')
-
-
-def rpc_performance() -> None:
-    """
-    Handler for performance.
-    Shows a performance statistic from finished trades
-    """
-    if get_state() != State.RUNNING:
-        return (True, '`trader is not running`')
-
-    pair_rates = Trade.session.query(Trade.pair,
-                                     sql.func.sum(Trade.close_profit).label('profit_sum'),
-                                     sql.func.count(Trade.pair).label('count')) \
-        .filter(Trade.is_open.is_(False)) \
-        .group_by(Trade.pair) \
-        .order_by(sql.text('profit_sum DESC')) \
-        .all()
-    trades = []
-    for (pair, rate, count) in pair_rates:
-        trades.append({'pair': pair, 'profit': round(rate * 100, 2), 'count': count})
-
-    return (False, trades)
-
-
-def rpc_count() -> None:
-    """
-    Returns the number of trades running
-    :return: None
-    """
-    if get_state() != State.RUNNING:
-        return (True, '`trader is not running`')
-
-    trades = Trade.query.filter(Trade.is_open.is_(True)).all()
-    return (False, trades)

freqtrade/rpc/rpc.py

@@ -0,0 +1,385 @@
+"""
+This module contains class to define a RPC communications
+"""
+
+from datetime import datetime, timedelta
+from decimal import Decimal
+from typing import Tuple, Any
+
+import arrow
+import sqlalchemy as sql
+from pandas import DataFrame
+
+from freqtrade import exchange
+from freqtrade.logger import Logger
+from freqtrade.misc import shorten_date
+from freqtrade.persistence import Trade
+from freqtrade.state import State
+
+
+class RPC(object):
+    """
+    RPC class can be used to have extra feature, like bot data, and access to DB data
+    """
+    def __init__(self, freqtrade) -> None:
+        """
+        Initializes all enabled rpc modules
+        :param freqtrade: Instance of a freqtrade bot
+        :return: None
+        """
+        self.freqtrade = freqtrade
+        self.logger = Logger(
+            name=__name__,
+            level=self.freqtrade.config.get('loglevel')
+        ).get_logger()
+
+    def rpc_trade_status(self) -> Tuple[bool, Any]:
+        """
+        Below follows the RPC backend it is prefixed with rpc_ to raise awareness that it is
+        a remotely exposed function
+        :return:
+        """
+        # Fetch open trade
+        trades = Trade.query.filter(Trade.is_open.is_(True)).all()
+        if self.freqtrade.get_state() != State.RUNNING:
+            return True, '*Status:* `trader is not running`'
+        elif not trades:
+            return True, '*Status:* `no active trade`'
+        else:
+            result = []
+            for trade in trades:
+                order = None
+                if trade.open_order_id:
+                    order = exchange.get_order(trade.open_order_id)
+                # calculate profit and send message to user
+                current_rate = exchange.get_ticker(trade.pair, False)['bid']
+                current_profit = trade.calc_profit_percent(current_rate)
+                fmt_close_profit = '{:.2f}%'.format(
+                    round(trade.close_profit * 100, 2)
+                ) if trade.close_profit else None
+                message = "*Trade ID:* `{trade_id}`\n" \
+                          "*Current Pair:* [{pair}]({market_url})\n" \
+                          "*Open Since:* `{date}`\n" \
+                          "*Amount:* `{amount}`\n" \
+                          "*Open Rate:* `{open_rate:.8f}`\n" \
+                          "*Close Rate:* `{close_rate}`\n" \
+                          "*Current Rate:* `{current_rate:.8f}`\n" \
+                          "*Close Profit:* `{close_profit}`\n" \
+                          "*Current Profit:* `{current_profit:.2f}%`\n" \
+                          "*Open Order:* `{open_order}`"\
+                          .format(
+                              trade_id=trade.id,
+                              pair=trade.pair,
+                              market_url=exchange.get_pair_detail_url(trade.pair),
+                              date=arrow.get(trade.open_date).humanize(),
+                              open_rate=trade.open_rate,
+                              close_rate=trade.close_rate,
+                              current_rate=current_rate,
+                              amount=round(trade.amount, 8),
+                              close_profit=fmt_close_profit,
+                              current_profit=round(current_profit * 100, 2),
+                              open_order='({} rem={:.8f})'.format(
+                                  order['type'], order['remaining']
+                              ) if order else None,
+                          )
+                result.append(message)
+            return False, result
+
+    def rpc_status_table(self) -> Tuple[bool, Any]:
+        trades = Trade.query.filter(Trade.is_open.is_(True)).all()
+        if self.freqtrade.get_state() != State.RUNNING:
+            return True, '*Status:* `trader is not running`'
+        elif not trades:
+            return True, '*Status:* `no active order`'
+        else:
+            trades_list = []
+            for trade in trades:
+                # calculate profit and send message to user
+                current_rate = exchange.get_ticker(trade.pair, False)['bid']
+                trades_list.append([
+                    trade.id,
+                    trade.pair,
+                    shorten_date(arrow.get(trade.open_date).humanize(only_distance=True)),
+                    '{:.2f}%'.format(100 * trade.calc_profit_percent(current_rate))
+                ])
+
+            columns = ['ID', 'Pair', 'Since', 'Profit']
+            df_statuses = DataFrame.from_records(trades_list, columns=columns)
+            df_statuses = df_statuses.set_index(columns[0])
+            # The style used throughout is to return a tuple
+            # consisting of (error_occured?, result)
+            # Another approach would be to just return the
+            # result, or raise error
+            return False, df_statuses
+
+    def rpc_daily_profit(
+            self, timescale: int,
+            stake_currency: str, fiat_display_currency: str) -> Tuple[bool, Any]:
+        today = datetime.utcnow().date()
+        profit_days = {}
+
+        if not (isinstance(timescale, int) and timescale > 0):
+            return True, '*Daily [n]:* `must be an integer greater than 0`'
+
+        fiat = self.freqtrade.fiat_converter
+        for day in range(0, timescale):
+            profitday = today - timedelta(days=day)
+            trades = Trade.query \
+                .filter(Trade.is_open.is_(False)) \
+                .filter(Trade.close_date >= profitday)\
+                .filter(Trade.close_date < (profitday + timedelta(days=1)))\
+                .order_by(Trade.close_date)\
+                .all()
+            curdayprofit = sum(trade.calc_profit() for trade in trades)
+            profit_days[profitday] = {
+                'amount': format(curdayprofit, '.8f'),
+                'trades': len(trades)
+            }
+
+        stats = [
+            [
+                key,
+                '{value:.8f} {symbol}'.format(
+                    value=float(value['amount']),
+                    symbol=stake_currency
+                ),
+                '{value:.3f} {symbol}'.format(
+                    value=fiat.convert_amount(
+                        value['amount'],
+                        stake_currency,
+                        fiat_display_currency
+                    ),
+                    symbol=fiat_display_currency
+                ),
+                '{value} trade{s}'.format(
+                    value=value['trades'],
+                    s='' if value['trades'] < 2 else 's'
+                ),
+            ]
+            for key, value in profit_days.items()
+        ]
+        return False, stats
+
+    def rpc_trade_statistics(
+            self, stake_currency: str, fiat_display_currency: str) -> Tuple[bool, Any]:
+        """
+        :return: cumulative profit statistics.
+        """
+        trades = Trade.query.order_by(Trade.id).all()
+
+        profit_all_coin = []
+        profit_all_percent = []
+        profit_closed_coin = []
+        profit_closed_percent = []
+        durations = []
+
+        for trade in trades:
+            current_rate = None
+
+            if not trade.open_rate:
+                continue
+            if trade.close_date:
+                durations.append((trade.close_date - trade.open_date).total_seconds())
+
+            if not trade.is_open:
+                profit_percent = trade.calc_profit_percent()
+                profit_closed_coin.append(trade.calc_profit())
+                profit_closed_percent.append(profit_percent)
+            else:
+                # Get current rate
+                current_rate = exchange.get_ticker(trade.pair, False)['bid']
+                profit_percent = trade.calc_profit_percent(rate=current_rate)
+
+            profit_all_coin.append(
+                trade.calc_profit(rate=Decimal(trade.close_rate or current_rate))
+            )
+            profit_all_percent.append(profit_percent)
+
+        best_pair = Trade.session.query(
+            Trade.pair, sql.func.sum(Trade.close_profit).label('profit_sum')
+        ).filter(Trade.is_open.is_(False)) \
+            .group_by(Trade.pair) \
+            .order_by(sql.text('profit_sum DESC')).first()
+
+        if not best_pair:
+            return True, '*Status:* `no closed trade`'
+
+        bp_pair, bp_rate = best_pair
+
+        # FIX: we want to keep fiatconverter in a state/environment,
+        #      doing this will utilize its caching functionallity, instead we reinitialize it here
+        fiat = self.freqtrade.fiat_converter
+        # Prepare data to display
+        profit_closed_coin = round(sum(profit_closed_coin), 8)
+        profit_closed_percent = round(sum(profit_closed_percent) * 100, 2)
+        profit_closed_fiat = fiat.convert_amount(
+            profit_closed_coin,
+            stake_currency,
+            fiat_display_currency
+        )
+        profit_all_coin = round(sum(profit_all_coin), 8)
+        profit_all_percent = round(sum(profit_all_percent) * 100, 2)
+        profit_all_fiat = fiat.convert_amount(
+            profit_all_coin,
+            stake_currency,
+            fiat_display_currency
+        )
+        num = float(len(durations) or 1)
+        return (
+            False,
+            {
+                'profit_closed_coin': profit_closed_coin,
+                'profit_closed_percent': profit_closed_percent,
+                'profit_closed_fiat': profit_closed_fiat,
+                'profit_all_coin': profit_all_coin,
+                'profit_all_percent': profit_all_percent,
+                'profit_all_fiat': profit_all_fiat,
+                'trade_count': len(trades),
+                'first_trade_date': arrow.get(trades[0].open_date).humanize(),
+                'latest_trade_date': arrow.get(trades[-1].open_date).humanize(),
+                'avg_duration': str(timedelta(seconds=sum(durations) / num)).split('.')[0],
+                'best_pair': bp_pair,
+                'best_rate': round(bp_rate * 100, 2)
+            }
+        )
+
+    def rpc_balance(self, fiat_display_currency: str) -> Tuple[bool, Any]:
+        """
+        :return: current account balance per crypto
+        """
+        balances = [
+            c for c in exchange.get_balances()
+            if c['Balance'] or c['Available'] or c['Pending']
+        ]
+        if not balances:
+            return True, '`All balances are zero.`'
+
+        output = []
+        total = 0.0
+        for currency in balances:
+            coin = currency['Currency']
+            if coin == 'BTC':
+                currency["Rate"] = 1.0
+            else:
+                if coin == 'USDT':
+                    currency["Rate"] = 1.0 / exchange.get_ticker('USDT_BTC', False)['bid']
+                else:
+                    currency["Rate"] = exchange.get_ticker('BTC_' + coin, False)['bid']
+            currency['BTC'] = currency["Rate"] * currency["Balance"]
+            total = total + currency['BTC']
+            output.append(
+                {
+                    'currency': currency['Currency'],
+                    'available': currency['Available'],
+                    'balance': currency['Balance'],
+                    'pending': currency['Pending'],
+                    'est_btc': currency['BTC']
+                }
+            )
+        fiat = self.freqtrade.fiat_converter
+        symbol = fiat_display_currency
+        value = fiat.convert_amount(total, 'BTC', symbol)
+        return False, (output, total, symbol, value)
+
+    def rpc_start(self) -> (bool, str):
+        """
+        Handler for start.
+        """
+        if self.freqtrade.get_state() == State.RUNNING:
+            return True, '*Status:* `already running`'
+
+        self.freqtrade.update_state(State.RUNNING)
+        return False, '`Starting trader ...`'
+
+    def rpc_stop(self) -> (bool, str):
+        """
+        Handler for stop.
+        """
+        if self.freqtrade.get_state() == State.RUNNING:
+            self.freqtrade.update_state(State.STOPPED)
+            return False, '`Stopping trader ...`'
+
+        return True, '*Status:* `already stopped`'
+
+    # FIX: no test for this!!!!
+    def rpc_forcesell(self, trade_id) -> Tuple[bool, Any]:
+        """
+        Handler for forcesell <id>.
+        Sells the given trade at current price
+        :return: error or None
+        """
+        def _exec_forcesell(trade: Trade) -> None:
+            # Check if there is there is an open order
+            if trade.open_order_id:
+                order = exchange.get_order(trade.open_order_id)
+
+                # Cancel open LIMIT_BUY orders and close trade
+                if order and not order['closed'] and order['type'] == 'LIMIT_BUY':
+                    exchange.cancel_order(trade.open_order_id)
+                    trade.close(order.get('rate') or trade.open_rate)
+                    # TODO: sell amount which has been bought already
+                    return
+
+                # Ignore trades with an attached LIMIT_SELL order
+                if order and not order['closed'] and order['type'] == 'LIMIT_SELL':
+                    return
+
+            # Get current rate and execute sell
+            current_rate = exchange.get_ticker(trade.pair, False)['bid']
+            self.freqtrade.execute_sell(trade, current_rate)
+        # ---- EOF def _exec_forcesell ----
+
+        if self.freqtrade.get_state() != State.RUNNING:
+            return True, '`trader is not running`'
+
+        if trade_id == 'all':
+            # Execute sell for all open orders
+            for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
+                _exec_forcesell(trade)
+            return False, ''
+
+        # Query for trade
+        trade = Trade.query.filter(
+            sql.and_(
+                Trade.id == trade_id,
+                Trade.is_open.is_(True)
+            )
+        ).first()
+        if not trade:
+            self.logger.warning('forcesell: Invalid argument received')
+            return True, 'Invalid argument.'
+
+        _exec_forcesell(trade)
+        return False, ''
+
+    def rpc_performance(self) -> Tuple[bool, Any]:
+        """
+        Handler for performance.
+        Shows a performance statistic from finished trades
+        """
+        if self.freqtrade.get_state() != State.RUNNING:
+            return True, '`trader is not running`'
+
+        pair_rates = Trade.session.query(Trade.pair,
+                                         sql.func.sum(Trade.close_profit).label('profit_sum'),
+                                         sql.func.count(Trade.pair).label('count')) \
+            .filter(Trade.is_open.is_(False)) \
+            .group_by(Trade.pair) \
+            .order_by(sql.text('profit_sum DESC')) \
+            .all()
+        trades = []
+        for (pair, rate, count) in pair_rates:
+            trades.append({'pair': pair, 'profit': round(rate * 100, 2), 'count': count})
+
+        return False, trades
+
+    def rpc_count(self) -> Tuple[bool, Any]:
+        """
+        Returns the number of trades running
+        :return: None
+        """
+        if self.freqtrade.get_state() != State.RUNNING:
+            return True, '`trader is not running`'
+
+        trades = Trade.query.filter(Trade.is_open.is_(True)).all()
+        return False, trades

freqtrade/rpc/rpc_manager.py

@@ -0,0 +1,59 @@
+"""
+This module contains class to manage RPC communications (Telegram, Slack, ...)
+"""
+
+from freqtrade.logger import Logger
+from freqtrade.rpc.telegram import Telegram
+
+
+class RPCManager(object):
+    """
+    Class to manage RPC objects (Telegram, Slack, ...)
+    """
+    def __init__(self, freqtrade) -> None:
+        """
+        Initializes all enabled rpc modules
+        :param config: config to use
+        :return: None
+        """
+        self.freqtrade = freqtrade
+
+        # Init the logger
+        self.logger = Logger(
+            name=__name__,
+            level=self.freqtrade.config.get('loglevel')
+        ).get_logger()
+
+        self.registered_modules = []
+        self.telegram = None
+        self._init()
+
+    def _init(self) -> None:
+        """
+        Init RPC modules
+        :return:
+        """
+        if self.freqtrade.config['telegram'].get('enabled', False):
+            self.logger.info('Enabling rpc.telegram ...')
+            self.registered_modules.append('telegram')
+            self.telegram = Telegram(self.freqtrade)
+
+    def cleanup(self) -> None:
+        """
+        Stops all enabled rpc modules
+        :return: None
+        """
+        if 'telegram' in self.registered_modules:
+            self.logger.info('Cleaning up rpc.telegram ...')
+            self.registered_modules.remove('telegram')
+            self.telegram.cleanup()
+
+    def send_msg(self, msg: str) -> None:
+        """
+        Send given markdown message to all registered rpc modules
+        :param msg: message
+        :return: None
+        """
+        self.logger.info(msg)
+        if 'telegram' in self.registered_modules:
+            self.telegram.send_msg(msg)

freqtrade/rpc/telegram.py

@@ -1,4 +1,9 @@
-import logging
+# pragma pylint: disable=unused-argument, unused-variable, protected-access, invalid-name
+
+"""
+This module manage Telegram communication
+"""
+
 from typing import Any, Callable
 
 from tabulate import tabulate
@@ -6,89 +11,8 @@ from telegram import Bot, ParseMode, ReplyKeyboardMarkup, Update
 from telegram.error import NetworkError, TelegramError
 from telegram.ext import CommandHandler, Updater
 
-from freqtrade.rpc.__init__ import (rpc_status_table,
-                                    rpc_trade_status,
-                                    rpc_daily_profit,
-                                    rpc_trade_statistics,
-                                    rpc_balance,
-                                    rpc_start,
-                                    rpc_stop,
-                                    rpc_forcesell,
-                                    rpc_performance,
-                                    rpc_count,
-                                    )
-
-from freqtrade import __version__
-
-
-# Remove noisy log messages
-logging.getLogger('requests.packages.urllib3').setLevel(logging.INFO)
-logging.getLogger('telegram').setLevel(logging.INFO)
-logger = logging.getLogger(__name__)
-
-_UPDATER: Updater = None
-_CONF = {}
-
-
-def init(config: dict) -> None:
-    """
-    Initializes this module with the given config,
-    registers all known command handlers
-    and starts polling for message updates
-    :param config: config to use
-    :return: None
-    """
-    global _UPDATER
-
-    _CONF.update(config)
-    if not is_enabled():
-        return
-
-    _UPDATER = Updater(token=config['telegram']['token'], workers=0)
-
-    # Register command handler and start telegram message polling
-    handles = [
-        CommandHandler('status', _status),
-        CommandHandler('profit', _profit),
-        CommandHandler('balance', _balance),
-        CommandHandler('start', _start),
-        CommandHandler('stop', _stop),
-        CommandHandler('forcesell', _forcesell),
-        CommandHandler('performance', _performance),
-        CommandHandler('daily', _daily),
-        CommandHandler('count', _count),
-        CommandHandler('help', _help),
-        CommandHandler('version', _version),
-    ]
-    for handle in handles:
-        _UPDATER.dispatcher.add_handler(handle)
-    _UPDATER.start_polling(
-        clean=True,
-        bootstrap_retries=-1,
-        timeout=30,
-        read_latency=60,
-    )
-    logger.info(
-        'rpc.telegram is listening for following commands: %s',
-        [h.command for h in handles]
-    )
-
-
-def cleanup() -> None:
-    """
-    Stops all running telegram threads.
-    :return: None
-    """
-    if not is_enabled():
-        return
-    _UPDATER.stop()
-
-
-def is_enabled() -> bool:
-    """
-    Returns True if the telegram module is activated, False otherwise
-    """
-    return bool(_CONF['telegram'].get('enabled', False))
+from freqtrade.__init__ import __version__
+from freqtrade.rpc.rpc import RPC
 
 
 def authorized_only(command_handler: Callable[[Bot, Update], None]) -> Callable[..., Any]:
@@ -97,25 +21,109 @@ def authorized_only(command_handler: Callable[[Bot, Update], None]) -> Callable[
     :param command_handler: Telegram CommandHandler
     :return: decorated function
     """
-    def wrapper(*args, **kwargs):
+    def wrapper(self, *args, **kwargs):
+        """
+        Decorator logic
+        """
         update = kwargs.get('update') or args[1]
 
         # Reject unauthorized messages
-        chat_id = int(_CONF['telegram']['chat_id'])
+        chat_id = int(self._config['telegram']['chat_id'])
+
         if int(update.message.chat_id) != chat_id:
-            logger.info('Rejected unauthorized message from: %s', update.message.chat_id)
+            self.logger.info(
+                'Rejected unauthorized message from: %s',
+                update.message.chat_id
+            )
             return wrapper
 
-        logger.info('Executing handler: %s for chat_id: %s', command_handler.__name__, chat_id)
+        self.logger.info(
+            'Executing handler: %s for chat_id: %s',
+            command_handler.__name__,
+            chat_id
+        )
         try:
-            return command_handler(*args, **kwargs)
+            return command_handler(self, *args, **kwargs)
         except BaseException:
-            logger.exception('Exception occurred within Telegram module')
+            self.logger.exception('Exception occurred within Telegram module')
+
     return wrapper
 
 
+class Telegram(RPC):
+    """
+    Telegram, this class send messages to Telegram
+    """
+    def __init__(self, freqtrade) -> None:
+        """
+        Init the Telegram call, and init the super class RPC
+        :param freqtrade: Instance of a freqtrade bot
+        :return: None
+        """
+        super().__init__(freqtrade)
+
+        self._updater = None
+        self._config = freqtrade.config
+        self._init()
+
+    def _init(self) -> None:
+        """
+        Initializes this module with the given config,
+        registers all known command handlers
+        and starts polling for message updates
+        :param config: config to use
+        :return: None
+        """
+        if not self.is_enabled():
+            return
+
+        self._updater = Updater(token=self._config['telegram']['token'], workers=0)
+
+        # Register command handler and start telegram message polling
+        handles = [
+            CommandHandler('status', self._status),
+            CommandHandler('profit', self._profit),
+            CommandHandler('balance', self._balance),
+            CommandHandler('start', self._start),
+            CommandHandler('stop', self._stop),
+            CommandHandler('forcesell', self._forcesell),
+            CommandHandler('performance', self._performance),
+            CommandHandler('daily', self._daily),
+            CommandHandler('count', self._count),
+            CommandHandler('help', self._help),
+            CommandHandler('version', self._version),
+        ]
+        for handle in handles:
+            self._updater.dispatcher.add_handler(handle)
+        self._updater.start_polling(
+            clean=True,
+            bootstrap_retries=-1,
+            timeout=30,
+            read_latency=60,
+        )
+        self.logger.info(
+            'rpc.telegram is listening for following commands: %s',
+            [h.command for h in handles]
+        )
+
+    def cleanup(self) -> None:
+        """
+        Stops all running telegram threads.
+        :return: None
+        """
+        if not self.is_enabled():
+            return
+
+        self._updater.stop()
+
+    def is_enabled(self) -> bool:
+        """
+        Returns True if the telegram module is activated, False otherwise
+        """
+        return bool(self._config.get('telegram', {}).get('enabled', False))
+
     @authorized_only
-def _status(bot: Bot, update: Update) -> None:
+    def _status(self, bot: Bot, update: Update) -> None:
         """
         Handler for /status.
         Returns the current TradeThread status
@@ -128,20 +136,19 @@ def _status(bot: Bot, update: Update) -> None:
         params = update.message.text.replace('/status', '').split(' ') \
             if update.message.text else []
         if 'table' in params:
-        _status_table(bot, update)
+            self._status_table(bot, update)
             return
 
         # Fetch open trade
-    (error, trades) = rpc_trade_status()
+        (error, trades) = self.rpc_trade_status()
         if error:
-        send_msg(trades, bot=bot)
+            self.send_msg(trades, bot=bot)
         else:
             for trademsg in trades:
-            send_msg(trademsg, bot=bot)
-
+                self.send_msg(trademsg, bot=bot)
 
     @authorized_only
-def _status_table(bot: Bot, update: Update) -> None:
+    def _status_table(self, bot: Bot, update: Update) -> None:
         """
         Handler for /status table.
         Returns the current TradeThread status in table format
@@ -150,18 +157,17 @@ def _status_table(bot: Bot, update: Update) -> None:
         :return: None
         """
         # Fetch open trade
-    (err, df_statuses) = rpc_status_table()
+        (err, df_statuses) = self.rpc_status_table()
         if err:
-        send_msg(df_statuses, bot=bot)
+            self.send_msg(df_statuses, bot=bot)
         else:
             message = tabulate(df_statuses, headers='keys', tablefmt='simple')
             message = "<pre>{}</pre>".format(message)
 
-        send_msg(message, parse_mode=ParseMode.HTML)
-
+            self.send_msg(message, parse_mode=ParseMode.HTML)
 
     @authorized_only
-def _daily(bot: Bot, update: Update) -> None:
+    def _daily(self, bot: Bot, update: Update) -> None:
         """
         Handler for /daily <n>
         Returns a daily profit (in BTC) over the last n days.
@@ -173,26 +179,30 @@ def _daily(bot: Bot, update: Update) -> None:
             timescale = int(update.message.text.replace('/daily', '').strip())
         except (TypeError, ValueError):
             timescale = 7
-    (error, stats) = rpc_daily_profit(timescale,
-                                      _CONF['stake_currency'],
-                                      _CONF['fiat_display_currency'])
+        (error, stats) = self.rpc_daily_profit(
+            timescale,
+            self._config['stake_currency'],
+            self._config['fiat_display_currency']
+        )
         if error:
-        send_msg(stats, bot=bot)
+            self.send_msg(stats, bot=bot)
         else:
             stats = tabulate(stats,
                              headers=[
                                  'Day',
-                             'Profit {}'.format(_CONF['stake_currency']),
-                             'Profit {}'.format(_CONF['fiat_display_currency'])
+                                 'Profit {}'.format(self._config['stake_currency']),
+                                 'Profit {}'.format(self._config['fiat_display_currency'])
                              ],
                              tablefmt='simple')
-        message = '<b>Daily Profit over the last {} days</b>:\n<pre>{}</pre>'.format(
-                  timescale, stats)
-        send_msg(message, bot=bot, parse_mode=ParseMode.HTML)
-
+            message = '<b>Daily Profit over the last {} days</b>:\n<pre>{}</pre>'\
+                      .format(
+                          timescale,
+                          stats
+                      )
+            self.send_msg(message, bot=bot, parse_mode=ParseMode.HTML)
 
     @authorized_only
-def _profit(bot: Bot, update: Update) -> None:
+    def _profit(self, bot: Bot, update: Update) -> None:
         """
         Handler for /profit.
         Returns a cumulative profit statistics.
@@ -200,29 +210,29 @@ def _profit(bot: Bot, update: Update) -> None:
         :param update: message update
         :return: None
         """
-    (error, stats) = rpc_trade_statistics(_CONF['stake_currency'],
-                                          _CONF['fiat_display_currency'])
+        (error, stats) = self.rpc_trade_statistics(
+            self._config['stake_currency'],
+            self._config['fiat_display_currency']
+        )
         if error:
-        send_msg(stats, bot=bot)
+            self.send_msg(stats, bot=bot)
             return
 
         # Message to display
-    markdown_msg = """
-*ROI:* Close trades
-  ∙ `{profit_closed_coin:.8f} {coin} ({profit_closed_percent:.2f}%)`
-  ∙ `{profit_closed_fiat:.3f} {fiat}`
-*ROI:* All trades
-  ∙ `{profit_all_coin:.8f} {coin} ({profit_all_percent:.2f}%)`
-  ∙ `{profit_all_fiat:.3f} {fiat}`
-
-*Total Trade Count:* `{trade_count}`
-*First Trade opened:* `{first_trade_date}`
-*Latest Trade opened:* `{latest_trade_date}`
-*Avg. Duration:* `{avg_duration}`
-*Best Performing:* `{best_pair}: {best_rate:.2f}%`
-    """.format(
-        coin=_CONF['stake_currency'],
-        fiat=_CONF['fiat_display_currency'],
+        markdown_msg = "*ROI:* Close trades\n" \
+                       "∙ `{profit_closed_coin:.8f} {coin} ({profit_closed_percent:.2f}%)`\n" \
+                       "∙ `{profit_closed_fiat:.3f} {fiat}`\n" \
+                       "*ROI:* All trades\n" \
+                       "∙ `{profit_all_coin:.8f} {coin} ({profit_all_percent:.2f}%)`\n" \
+                       "∙ `{profit_all_fiat:.3f} {fiat}`\n" \
+                       "*Total Trade Count:* `{trade_count}`\n" \
+                       "*First Trade opened:* `{first_trade_date}`\n" \
+                       "*Latest Trade opened:* `{latest_trade_date}`\n" \
+                       "*Avg. Duration:* `{avg_duration}`\n" \
+                       "*Best Performing:* `{best_pair}: {best_rate:.2f}%`"\
+                       .format(
+                           coin=self._config['stake_currency'],
+                           fiat=self._config['fiat_display_currency'],
                            profit_closed_coin=stats['profit_closed_coin'],
                            profit_closed_percent=stats['profit_closed_percent'],
                            profit_closed_fiat=stats['profit_closed_fiat'],
@@ -236,17 +246,16 @@ def _profit(bot: Bot, update: Update) -> None:
                            best_pair=stats['best_pair'],
                            best_rate=stats['best_rate']
                        )
-    send_msg(markdown_msg, bot=bot)
-
+        self.send_msg(markdown_msg, bot=bot)
 
     @authorized_only
-def _balance(bot: Bot, update: Update) -> None:
+    def _balance(self, bot: Bot, update: Update) -> None:
         """
         Handler for /balance
         """
-    (error, result) = rpc_balance(_CONF['fiat_display_currency'])
+        (error, result) = self.rpc_balance(self._config['fiat_display_currency'])
         if error:
-        send_msg('`All balances are zero.`')
+            self.send_msg('`All balances are zero.`')
             return
 
         (currencys, total, symbol, value) = result
@@ -263,11 +272,10 @@ def _balance(bot: Bot, update: Update) -> None:
     *BTC*: {0: .8f}
     *{1}*: {2: .2f}
     """.format(total, symbol, value)
-    send_msg(output)
-
+        self.send_msg(output)
 
     @authorized_only
-def _start(bot: Bot, update: Update) -> None:
+    def _start(self, bot: Bot, update: Update) -> None:
         """
         Handler for /start.
         Starts TradeThread
@@ -275,13 +283,12 @@ def _start(bot: Bot, update: Update) -> None:
         :param update: message update
         :return: None
         """
-    (error, msg) = rpc_start()
+        (error, msg) = self.rpc_start()
         if error:
-        send_msg(msg, bot=bot)
-
+            self.send_msg(msg, bot=bot)
 
     @authorized_only
-def _stop(bot: Bot, update: Update) -> None:
+    def _stop(self, bot: Bot, update: Update) -> None:
         """
         Handler for /stop.
         Stops TradeThread
@@ -289,13 +296,11 @@ def _stop(bot: Bot, update: Update) -> None:
         :param update: message update
         :return: None
         """
-    (error, msg) = rpc_stop()
-    send_msg(msg, bot=bot)
+        (error, msg) = self.rpc_stop()
+        self.send_msg(msg, bot=bot)
 
-
-# FIX: no test for this!!!!
     @authorized_only
-def _forcesell(bot: Bot, update: Update) -> None:
+    def _forcesell(self, bot: Bot, update: Update) -> None:
         """
         Handler for /forcesell <id>.
         Sells the given trade at current price
@@ -305,14 +310,13 @@ def _forcesell(bot: Bot, update: Update) -> None:
         """
 
         trade_id = update.message.text.replace('/forcesell', '').strip()
-    (error, message) = rpc_forcesell(trade_id)
+        (error, message) = self.rpc_forcesell(trade_id)
         if error:
-        send_msg(message, bot=bot)
+            self.send_msg(message, bot=bot)
             return
 
-
     @authorized_only
-def _performance(bot: Bot, update: Update) -> None:
+    def _performance(self, bot: Bot, update: Update) -> None:
         """
         Handler for /performance.
         Shows a performance statistic from finished trades
@@ -320,9 +324,9 @@ def _performance(bot: Bot, update: Update) -> None:
         :param update: message update
         :return: None
         """
-    (error, trades) = rpc_performance()
+        (error, trades) = self.rpc_performance()
         if error:
-        send_msg(trades, bot=bot)
+            self.send_msg(trades, bot=bot)
             return
 
         stats = '\n'.join('{index}.\t<code>{pair}\t{profit:.2f}% ({count})</code>'.format(
@@ -332,11 +336,10 @@ def _performance(bot: Bot, update: Update) -> None:
             count=trade['count']
         ) for i, trade in enumerate(trades))
         message = '<b>Performance:</b>\n{}'.format(stats)
-    send_msg(message, parse_mode=ParseMode.HTML)
-
+        self.send_msg(message, parse_mode=ParseMode.HTML)
 
     @authorized_only
-def _count(bot: Bot, update: Update) -> None:
+    def _count(self, bot: Bot, update: Update) -> None:
         """
         Handler for /count.
         Returns the number of trades running
@@ -344,22 +347,21 @@ def _count(bot: Bot, update: Update) -> None:
         :param update: message update
         :return: None
         """
-    (error, trades) = rpc_count()
+        (error, trades) = self.rpc_count()
         if error:
-        send_msg(trades, bot=bot)
+            self.send_msg(trades, bot=bot)
             return
 
         message = tabulate({
             'current': [len(trades)],
-        'max': [_CONF['max_open_trades']]
+            'max': [self._config['max_open_trades']]
         }, headers=['current', 'max'], tablefmt='simple')
         message = "<pre>{}</pre>".format(message)
-    logger.debug(message)
-    send_msg(message, parse_mode=ParseMode.HTML)
-
+        self.logger.debug(message)
+        self.send_msg(message, parse_mode=ParseMode.HTML)
 
     @authorized_only
-def _help(bot: Bot, update: Update) -> None:
+    def _help(self, bot: Bot, update: Update) -> None:
         """
         Handler for /help.
         Show commands of the bot
@@ -367,25 +369,25 @@ def _help(bot: Bot, update: Update) -> None:
         :param update: message update
         :return: None
         """
-    message = """
-*/start:* `Starts the trader`
-*/stop:* `Stops the trader`
-*/status [table]:* `Lists all open trades`
-            *table :* `will display trades in a table`
-*/profit:* `Lists cumulative profit from all finished trades`
-*/forcesell <trade_id>|all:* `Instantly sells the given trade or all trades, regardless of profit`
-*/performance:* `Show performance of each finished trade grouped by pair`
-*/daily <n>:* `Shows profit or loss per day, over the last n days`
-*/count:* `Show number of trades running compared to allowed number of trades`
-*/balance:* `Show account balance per currency`
-*/help:* `This help message`
-*/version:* `Show version`
-    """
-    send_msg(message, bot=bot)
+        message = "*/start:* `Starts the trader`\n" \
+                  "*/stop:* `Stops the trader`\n" \
+                  "*/status [table]:* `Lists all open trades`\n" \
+                  "         *table :* `will display trades in a table`\n" \
+                  "*/profit:* `Lists cumulative profit from all finished trades`\n" \
+                  "*/forcesell <trade_id>|all:* `Instantly sells the given trade or all trades, " \
+                  "regardless of profit`\n" \
+                  "*/performance:* `Show performance of each finished trade grouped by pair`\n" \
+                  "*/daily <n>:* `Shows profit or loss per day, over the last n days`\n" \
+                  "*/count:* `Show number of trades running compared to allowed number of trades`" \
+                  "\n" \
+                  "*/balance:* `Show account balance per currency`\n" \
+                  "*/help:* `This help message`\n" \
+                  "*/version:* `Show version`"
 
+        self.send_msg(message, bot=bot)
 
     @authorized_only
-def _version(bot: Bot, update: Update) -> None:
+    def _version(self, bot: Bot, update: Update) -> None:
         """
         Handler for /version.
         Show version information
@@ -393,10 +395,10 @@ def _version(bot: Bot, update: Update) -> None:
         :param update: message update
         :return: None
         """
-    send_msg('*Version:* `{}`'.format(__version__), bot=bot)
+        self.send_msg('*Version:* `{}`'.format(__version__), bot=bot)
 
-
-def send_msg(msg: str, bot: Bot = None, parse_mode: ParseMode = ParseMode.MARKDOWN) -> None:
+    def send_msg(self, msg: str, bot: Bot = None,
+                 parse_mode: ParseMode = ParseMode.MARKDOWN) -> None:
         """
         Send given markdown message
         :param msg: message
@@ -404,10 +406,10 @@ def send_msg(msg: str, bot: Bot = None, parse_mode: ParseMode = ParseMode.MARKDO
         :param parse_mode: telegram parse mode
         :return: None
         """
-    if not is_enabled():
+        if not self.is_enabled():
             return
 
-    bot = bot or _UPDATER.bot
+        bot = bot or self._updater.bot
 
         keyboard = [['/daily', '/profit', '/balance'],
                     ['/status', '/status table', '/performance'],
@@ -418,19 +420,26 @@ def send_msg(msg: str, bot: Bot = None, parse_mode: ParseMode = ParseMode.MARKDO
         try:
             try:
                 bot.send_message(
-                _CONF['telegram']['chat_id'], msg,
-                parse_mode=parse_mode, reply_markup=reply_markup
+                    self._config['telegram']['chat_id'],
+                    text=msg,
+                    parse_mode=parse_mode,
+                    reply_markup=reply_markup
                 )
             except NetworkError as network_err:
                 # Sometimes the telegram server resets the current connection,
                 # if this is the case we send the message again.
-            logger.warning(
+                self.logger.warning(
                     'Telegram NetworkError: %s! Trying one more time.',
                     network_err.message
                 )
                 bot.send_message(
-                _CONF['telegram']['chat_id'], msg,
-                parse_mode=parse_mode, reply_markup=reply_markup
+                    self._config['telegram']['chat_id'],
+                    text=msg,
+                    parse_mode=parse_mode,
+                    reply_markup=reply_markup
                 )
         except TelegramError as telegram_err:
-        logger.warning('TelegramError: %s! Giving up on that message.', telegram_err.message)
+            self.logger.warning(
+                'TelegramError: %s! Giving up on that message.',
+                telegram_err.message
+            )

freqtrade/state.py

@@ -0,0 +1,14 @@
+# pragma pylint: disable=too-few-public-methods
+
+"""
+Bot state constant
+"""
+import enum
+
+
+class State(enum.Enum):
+    """
+    Bot running states
+    """
+    RUNNING = 0
+    STOPPED = 1

freqtrade/strategy/default_strategy.py

@@ -2,9 +2,10 @@
 
 import talib.abstract as ta
 from pandas import DataFrame
+
 import freqtrade.vendor.qtpylib.indicators as qtpylib
-from freqtrade.strategy.interface import IStrategy
 from freqtrade.indicator_helpers import fishers_inverse
+from freqtrade.strategy.interface import IStrategy
 
 class_name = 'DefaultStrategy'
 

freqtrade/strategy/interface.py

@@ -4,6 +4,7 @@ This module defines the interface to apply for strategies
 """
 
 from abc import ABC, abstractmethod
+
 from pandas import DataFrame
 
 

freqtrade/strategy/strategy.py

@@ -3,15 +3,16 @@
 """
 This module load custom strategies
 """
+import importlib
 import os
 import sys
-import logging
-import importlib
 from collections import OrderedDict
 
 from pandas import DataFrame
-from freqtrade.strategy.interface import IStrategy
 
+from freqtrade.constants import Constants
+from freqtrade.logger import Logger
+from freqtrade.strategy.interface import IStrategy
 
 sys.path.insert(0, r'../../user_data/strategies')
 
@@ -20,32 +21,19 @@ class Strategy(object):
     """
     This class contains all the logic to load custom strategy class
     """
-    __instance = None
-
-    DEFAULT_STRATEGY = 'default_strategy'
-
-    def __new__(cls) -> object:
-        """
-        Used to create the Singleton
-        :return: Strategy object
-        """
-        if Strategy.__instance is None:
-            Strategy.__instance = object.__new__(cls)
-        return Strategy.__instance
-
-    def init(self, config: dict) -> None:
+    def __init__(self, config: dict = {}) -> None:
         """
         Load the custom class from config parameter
         :param config:
         :return:
         """
-        self.logger = logging.getLogger(__name__)
+        self.logger = Logger(name=__name__).get_logger()
 
         # Verify the strategy is in the configuration, otherwise fallback to the default strategy
         if 'strategy' in config:
             strategy = config['strategy']
         else:
-            strategy = self.DEFAULT_STRATEGY
+            strategy = Constants.DEFAULT_STRATEGY
 
         # Load the strategy
         self._load_strategy(strategy)
@@ -72,12 +60,12 @@ class Strategy(object):
         # Minimal ROI designed for the strategy
         self.minimal_roi = OrderedDict(sorted(
             {int(key): value for (key, value) in self.custom_strategy.minimal_roi.items()}.items(),
-            key=lambda tuple: tuple[0]))  # sort after converting to number
+            key=lambda t: t[0]))  # sort after converting to number
 
         # Optimal stoploss designed for the strategy
         self.stoploss = float(self.custom_strategy.stoploss)
 
-        self.ticker_interval = self.custom_strategy.ticker_interval
+        self.ticker_interval = int(self.custom_strategy.ticker_interval)
 
     def _load_strategy(self, strategy_name: str) -> None:
         """

freqtrade/tests/conftest.py

@@ -1,17 +1,21 @@
 # pragma pylint: disable=missing-docstring
-from datetime import datetime
-from unittest.mock import MagicMock
-from functools import reduce
-
 import json
+import logging
+from datetime import datetime
+from functools import reduce
+from unittest.mock import MagicMock
+
 import arrow
 import pytest
 from jsonschema import validate
+from sqlalchemy import create_engine
 from telegram import Chat, Message, Update
-from freqtrade.analyze import parse_ticker_dataframe
-from freqtrade.strategy.strategy import Strategy
 
-from freqtrade.misc import CONF_SCHEMA
+from freqtrade.analyze import Analyze
+from freqtrade.constants import Constants
+from freqtrade.freqtradebot import FreqtradeBot
+
+logging.getLogger('').setLevel(logging.INFO)
 
 
 def log_has(line, logs):
@@ -22,6 +26,26 @@ def log_has(line, logs):
                   False)
 
 
+# Functions for recurrent object patching
+def get_patched_freqtradebot(mocker, config) -> FreqtradeBot:
+    """
+    This function patch _init_modules() to not call dependencies
+    :param mocker: a Mocker object to apply patches
+    :param config: Config to pass to the bot
+    :return: None
+    """
+    mocker.patch('freqtrade.fiat_convert.Market', {'price_usd': 12345.0})
+    mocker.patch('freqtrade.freqtradebot.Analyze', MagicMock())
+    mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
+    mocker.patch('freqtrade.freqtradebot.persistence.init', MagicMock())
+    mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
+    mocker.patch('freqtrade.freqtradebot.RPCManager._init', MagicMock())
+    mocker.patch('freqtrade.freqtradebot.RPCManager.send_msg', MagicMock())
+    mocker.patch('freqtrade.freqtradebot.Analyze.get_signal', MagicMock())
+
+    return FreqtradeBot(config, create_engine('sqlite://'))
+
+
 @pytest.fixture(scope="module")
 def default_conf():
     """ Returns validated configuration suitable for most tests """
@@ -61,9 +85,10 @@ def default_conf():
             "token": "token",
             "chat_id": "0"
         },
-        "initial_state": "running"
+        "initial_state": "running",
+        "loglevel": logging.DEBUG
     }
-    validate(configuration, CONF_SCHEMA)
+    validate(configuration, Constants.CONF_SCHEMA)
     return configuration
 
 
@@ -265,14 +290,7 @@ def ticker_history_without_bv():
 @pytest.fixture
 def result():
     with open('freqtrade/tests/testdata/BTC_ETH-1.json') as data_file:
-        return parse_ticker_dataframe(json.load(data_file))
-
-
-@pytest.fixture
-def default_strategy():
-    strategy = Strategy()
-    strategy.init({'strategy': 'default_strategy'})
-    return strategy
+        return Analyze.parse_ticker_dataframe(json.load(data_file))
 
 
 # FIX:
@@ -280,3 +298,134 @@ def default_strategy():
 # that inserts a trade of some type and open-status
 # return the open-order-id
 # See tests in rpc/main that could use this
+
+
+@pytest.fixture
+def get_market_summaries_data():
+    """
+    This fixture is a real result from exchange.get_market_summaries() but reduced to only
+    8 entries. 4 BTC, 4 USTD
+    :return: JSON market summaries
+    """
+    return [
+        {
+            'Ask': 1.316e-05,
+            'BaseVolume': 5.72599471,
+            'Bid': 1.3e-05,
+            'Created': '2014-04-14T00:00:00',
+            'High': 1.414e-05,
+            'Last': 1.298e-05,
+            'Low': 1.282e-05,
+            'MarketName': 'BTC-XWC',
+            'OpenBuyOrders': 2000,
+            'OpenSellOrders': 1484,
+            'PrevDay': 1.376e-05,
+            'TimeStamp': '2018-02-05T01:32:40.493',
+            'Volume': 424041.21418375
+        },
+        {
+            'Ask': 0.00627051,
+            'BaseVolume': 93.23302388,
+            'Bid': 0.00618192,
+            'Created': '2016-10-20T04:48:30.387',
+            'High': 0.00669897,
+            'Last': 0.00618192,
+            'Low': 0.006,
+            'MarketName': 'BTC-XZC',
+            'OpenBuyOrders': 343,
+            'OpenSellOrders': 2037,
+            'PrevDay': 0.00668229,
+            'TimeStamp': '2018-02-05T01:32:43.383',
+            'Volume': 14863.60730702
+        },
+        {
+            'Ask': 0.01137247,
+            'BaseVolume': 383.55922657,
+            'Bid': 0.01136006,
+            'Created': '2016-11-15T20:29:59.73',
+            'High': 0.012,
+            'Last': 0.01137247,
+            'Low': 0.01119883,
+            'MarketName': 'BTC-ZCL',
+            'OpenBuyOrders': 1332,
+            'OpenSellOrders': 5317,
+            'PrevDay': 0.01179603,
+            'TimeStamp': '2018-02-05T01:32:42.773',
+            'Volume': 33308.07358285
+        },
+        {
+            'Ask': 0.04155821,
+            'BaseVolume': 274.75369074,
+            'Bid': 0.04130002,
+            'Created': '2016-10-28T17:13:10.833',
+            'High': 0.04354429,
+            'Last': 0.041585,
+            'Low': 0.0413,
+            'MarketName': 'BTC-ZEC',
+            'OpenBuyOrders': 863,
+            'OpenSellOrders': 5579,
+            'PrevDay': 0.0429,
+            'TimeStamp': '2018-02-05T01:32:43.21',
+            'Volume': 6479.84033259
+        },
+        {
+            'Ask': 210.99999999,
+            'BaseVolume': 615132.70989532,
+            'Bid': 210.05503736,
+            'Created': '2017-07-21T01:08:49.397',
+            'High': 257.396,
+            'Last': 211.0,
+            'Low': 209.05333589,
+            'MarketName': 'USDT-XMR',
+            'OpenBuyOrders': 180,
+            'OpenSellOrders': 1203,
+            'PrevDay': 247.93528899,
+            'TimeStamp': '2018-02-05T01:32:43.117',
+            'Volume': 2688.17410793
+        },
+        {
+            'Ask': 0.79589979,
+            'BaseVolume': 9349557.01853031,
+            'Bid': 0.789226,
+            'Created': '2017-07-14T17:10:10.737',
+            'High': 0.977,
+            'Last': 0.79589979,
+            'Low': 0.781,
+            'MarketName': 'USDT-XRP',
+            'OpenBuyOrders': 1075,
+            'OpenSellOrders': 6508,
+            'PrevDay': 0.93300218,
+            'TimeStamp': '2018-02-05T01:32:42.383',
+            'Volume': 10801663.00788851
+        },
+        {
+            'Ask': 0.05154982,
+            'BaseVolume': 2311087.71232136,
+            'Bid': 0.05040107,
+            'Created': '2017-12-29T19:29:18.357',
+            'High': 0.06668561,
+            'Last': 0.0508,
+            'Low': 0.05006731,
+            'MarketName': 'USDT-XVG',
+            'OpenBuyOrders': 655,
+            'OpenSellOrders': 5544,
+            'PrevDay': 0.0627,
+            'TimeStamp': '2018-02-05T01:32:41.507',
+            'Volume': 40031424.2152716
+        },
+        {
+            'Ask': 332.65500022,
+            'BaseVolume': 562911.87455665,
+            'Bid': 330.00000001,
+            'Created': '2017-07-14T17:10:10.673',
+            'High': 401.59999999,
+            'Last': 332.65500019,
+            'Low': 330.0,
+            'MarketName': 'USDT-ZEC',
+            'OpenBuyOrders': 161,
+            'OpenSellOrders': 1731,
+            'PrevDay': 391.42,
+            'TimeStamp': '2018-02-05T01:32:42.947',
+            'Volume': 1571.09647946
+        }
+    ]

freqtrade/tests/exchange/test_exchange.py

@@ -1,15 +1,16 @@
 # pragma pylint: disable=missing-docstring, C0103, bad-continuation, global-statement
 # pragma pylint: disable=protected-access
-from unittest.mock import MagicMock
-from random import randint
 import logging
-from requests.exceptions import RequestException
-import pytest
+from random import randint
+from unittest.mock import MagicMock
 
+import pytest
+from requests.exceptions import RequestException
+
+import freqtrade.exchange as exchange
 from freqtrade import OperationalException
 from freqtrade.exchange import init, validate_pairs, buy, sell, get_balance, get_balances, \
     get_ticker, get_ticker_history, cancel_order, get_name, get_fee
-import freqtrade.exchange as exchange
 from freqtrade.tests.conftest import log_has
 
 API_INIT = False

freqtrade/tests/exchange/test_exchange_bittrex.py

@@ -1,10 +1,12 @@
 # pragma pylint: disable=missing-docstring, C0103, protected-access, unused-argument
 
 from unittest.mock import MagicMock
+
 import pytest
 from requests.exceptions import ContentDecodingError
-from freqtrade.exchange.bittrex import Bittrex
+
 import freqtrade.exchange.bittrex as btx
+from freqtrade.exchange.bittrex import Bittrex
 
 
 # Eat this flake8

freqtrade/tests/optimize/test_backtesting.py

@@ -1,16 +1,28 @@
-# pragma pylint: disable=missing-docstring, W0212, line-too-long, C0103
-import random
-import logging
+# pragma pylint: disable=missing-docstring, W0212, line-too-long, C0103, unused-argument
+
+import json
 import math
+import random
+from copy import deepcopy
+from typing import List
 from unittest.mock import MagicMock
-import pandas as pd
+
 import numpy as np
-from freqtrade import exchange, optimize
-from freqtrade.exchange import Bittrex
-from freqtrade.optimize import preprocess
-from freqtrade.optimize.backtesting import backtest, generate_text_table, get_timeframe
-import freqtrade.optimize.backtesting as backtesting
-from freqtrade.tests.conftest import log_has
+import pandas as pd
+from arrow import Arrow
+
+from freqtrade import optimize
+from freqtrade.analyze import Analyze
+from freqtrade.arguments import Arguments
+from freqtrade.optimize.backtesting import Backtesting, start, setup_configuration
+from freqtrade.tests.conftest import default_conf, log_has
+
+# Avoid to reinit the same object again and again
+_BACKTESTING = Backtesting(default_conf())
+
+
+def get_args(args) -> List[str]:
+    return Arguments(args, '').get_parsed_arg()
 
 
 def trim_dictlist(dict_list, num):
@@ -20,124 +32,6 @@ def trim_dictlist(dict_list, num):
     return new
 
 
-# use for mock freqtrade.exchange.get_ticker_history'
-def _load_pair_as_ticks(pair, tickfreq):
-    ticks = optimize.load_data(None, ticker_interval=8, pairs=[pair])
-    ticks = trim_dictlist(ticks, -200)
-    return ticks[pair]
-
-
-# FIX: fixturize this?
-def _make_backtest_conf(conf=None,
-                        pair='BTC_UNITEST',
-                        record=None):
-    data = optimize.load_data(None, ticker_interval=8, pairs=[pair])
-    data = trim_dictlist(data, -200)
-    return {'stake_amount': conf['stake_amount'],
-            'processed': optimize.preprocess(data),
-            'max_open_trades': 10,
-            'realistic': True,
-            'record': record}
-
-
-def _trend(signals, buy_value, sell_value):
-    n = len(signals['low'])
-    buy = np.zeros(n)
-    sell = np.zeros(n)
-    for i in range(0, len(signals['buy'])):
-        if random.random() > 0.5:  # Both buy and sell signals at same timeframe
-            buy[i] = buy_value
-            sell[i] = sell_value
-    signals['buy'] = buy
-    signals['sell'] = sell
-    return signals
-
-
-def _trend_alternate(dataframe=None):
-    signals = dataframe
-    low = signals['low']
-    n = len(low)
-    buy = np.zeros(n)
-    sell = np.zeros(n)
-    for i in range(0, len(buy)):
-        if i % 2 == 0:
-            buy[i] = 1
-        else:
-            sell[i] = 1
-    signals['buy'] = buy
-    signals['sell'] = sell
-    return dataframe
-
-
-def _run_backtest_1(strategy, fun, backtest_conf):
-    # strategy is a global (hidden as a singleton), so we
-    # emulate strategy being pure, by override/restore here
-    # if we dont do this, the override in strategy will carry over
-    # to other tests
-    old_buy = strategy.populate_buy_trend
-    old_sell = strategy.populate_sell_trend
-    strategy.populate_buy_trend = fun  # Override
-    strategy.populate_sell_trend = fun  # Override
-    results = backtest(backtest_conf)
-    strategy.populate_buy_trend = old_buy  # restore override
-    strategy.populate_sell_trend = old_sell  # restore override
-    return results
-
-
-def test_generate_text_table():
-    results = pd.DataFrame(
-        {
-            'currency': ['BTC_ETH', 'BTC_ETH'],
-            'profit_percent': [0.1, 0.2],
-            'profit_BTC': [0.2, 0.4],
-            'duration': [10, 30],
-            'profit': [2, 0],
-            'loss': [0, 0]
-        }
-    )
-    print(generate_text_table({'BTC_ETH': {}}, results, 'BTC'))
-    assert generate_text_table({'BTC_ETH': {}}, results, 'BTC') == (
-        'pair       buy count    avg profit %    total profit BTC    avg duration    profit    loss\n'  # noqa
-        '-------  -----------  --------------  ------------------  --------------  --------  ------\n'  # noqa
-        'BTC_ETH            2           15.00          0.60000000            20.0         2       0\n'  # noqa
-        'TOTAL              2           15.00          0.60000000            20.0         2       0')  # noqa
-
-
-def test_get_timeframe(default_strategy):
-    data = preprocess(optimize.load_data(
-        None, ticker_interval=1, pairs=['BTC_UNITEST']))
-    min_date, max_date = get_timeframe(data)
-    assert min_date.isoformat() == '2017-11-04T23:02:00+00:00'
-    assert max_date.isoformat() == '2017-11-14T22:59:00+00:00'
-
-
-def test_backtest(default_strategy, default_conf, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    exchange._API = Bittrex({'key': '', 'secret': ''})
-
-    data = optimize.load_data(None, ticker_interval=5, pairs=['BTC_ETH'])
-    data = trim_dictlist(data, -200)
-    results = backtest({'stake_amount': default_conf['stake_amount'],
-                        'processed': optimize.preprocess(data),
-                        'max_open_trades': 10,
-                        'realistic': True})
-    assert not results.empty
-
-
-def test_backtest_1min_ticker_interval(default_strategy, default_conf, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    exchange._API = Bittrex({'key': '', 'secret': ''})
-
-    # Run a backtesting for an exiting 5min ticker_interval
-    data = optimize.load_data(None, ticker_interval=1, pairs=['BTC_UNITEST'])
-    data = trim_dictlist(data, -200)
-    results = backtest({'stake_amount': default_conf['stake_amount'],
-                        'processed': optimize.preprocess(data),
-                        'max_open_trades': 1,
-                        'realistic': True})
-    assert not results.empty
-
-
 def load_data_test(what):
     timerange = ((None, 'line'), None, -100)
     data = optimize.load_data(None, ticker_interval=1, pairs=['BTC_UNITEST'], timerange=timerange)
@@ -181,34 +75,429 @@ def load_data_test(what):
     return data
 
 
-def simple_backtest(config, contour, num_results):
+def simple_backtest(config, contour, num_results) -> None:
+    backtesting = _BACKTESTING
+
     data = load_data_test(contour)
-    processed = optimize.preprocess(data)
+    processed = backtesting.tickerdata_to_dataframe(data)
     assert isinstance(processed, dict)
-    results = backtest({'stake_amount': config['stake_amount'],
+    results = backtesting.backtest(
+        {
+            'stake_amount': config['stake_amount'],
             'processed': processed,
             'max_open_trades': 1,
-                        'realistic': True})
+            'realistic': True
+        }
+    )
     # results :: <class 'pandas.core.frame.DataFrame'>
     assert len(results) == num_results
 
 
-# Test backtest using offline data (testdata directory)
+def mocked_load_data(datadir, pairs=[], ticker_interval=0, refresh_pairs=False, timerange=None):
+    tickerdata = optimize.load_tickerdata_file(datadir, 'BTC_UNITEST', 1, timerange=timerange)
+    pairdata = {'BTC_UNITEST': tickerdata}
+    return pairdata
 
 
-def test_backtest_ticks(default_conf, mocker, default_strategy):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    ticks = [1, 5]
-    fun = default_strategy.populate_buy_trend
-    for tick in ticks:
-        backtest_conf = _make_backtest_conf(conf=default_conf)
-        results = _run_backtest_1(default_strategy, fun, backtest_conf)
+# use for mock freqtrade.exchange.get_ticker_history'
+def _load_pair_as_ticks(pair, tickfreq):
+    ticks = optimize.load_data(None, ticker_interval=tickfreq, pairs=[pair])
+    ticks = trim_dictlist(ticks, -200)
+    return ticks[pair]
+
+
+# FIX: fixturize this?
+def _make_backtest_conf(conf=None, pair='BTC_UNITEST', record=None):
+    data = optimize.load_data(None, ticker_interval=8, pairs=[pair])
+    data = trim_dictlist(data, -200)
+    return {
+        'stake_amount': conf['stake_amount'],
+        'processed': _BACKTESTING.tickerdata_to_dataframe(data),
+        'max_open_trades': 10,
+        'realistic': True,
+        'record': record
+    }
+
+
+def _trend(signals, buy_value, sell_value):
+    n = len(signals['low'])
+    buy = np.zeros(n)
+    sell = np.zeros(n)
+    for i in range(0, len(signals['buy'])):
+        if random.random() > 0.5:  # Both buy and sell signals at same timeframe
+            buy[i] = buy_value
+            sell[i] = sell_value
+    signals['buy'] = buy
+    signals['sell'] = sell
+    return signals
+
+
+def _trend_alternate(dataframe=None):
+    signals = dataframe
+    low = signals['low']
+    n = len(low)
+    buy = np.zeros(n)
+    sell = np.zeros(n)
+    for i in range(0, len(buy)):
+        if i % 2 == 0:
+            buy[i] = 1
+        else:
+            sell[i] = 1
+    signals['buy'] = buy
+    signals['sell'] = sell
+    return dataframe
+
+
+def _run_backtest_1(fun, backtest_conf):
+    # strategy is a global (hidden as a singleton), so we
+    # emulate strategy being pure, by override/restore here
+    # if we dont do this, the override in strategy will carry over
+    # to other tests
+    old_buy = _BACKTESTING.populate_buy_trend
+    old_sell = _BACKTESTING.populate_sell_trend
+    _BACKTESTING.populate_buy_trend = fun  # Override
+    _BACKTESTING.populate_sell_trend = fun  # Override
+    results = _BACKTESTING.backtest(backtest_conf)
+    _BACKTESTING.populate_buy_trend = old_buy  # restore override
+    _BACKTESTING.populate_sell_trend = old_sell  # restore override
+    return results
+
+
+# Unit tests
+def test_setup_configuration_without_arguments(mocker, default_conf, caplog) -> None:
+    """
+    Test setup_configuration() function
+    """
+    mocker.patch('freqtrade.configuration.open', mocker.mock_open(
+        read_data=json.dumps(default_conf)
+    ))
+
+    args = [
+        '--config', 'config.json',
+        '--strategy', 'default_strategy',
+        'backtesting'
+    ]
+
+    config = setup_configuration(get_args(args))
+    assert 'max_open_trades' in config
+    assert 'stake_currency' in config
+    assert 'stake_amount' in config
+    assert 'exchange' in config
+    assert 'pair_whitelist' in config['exchange']
+    assert 'datadir' in config
+    assert log_has(
+        'Parameter --datadir detected: {} ...'.format(config['datadir']),
+        caplog.record_tuples
+    )
+    assert 'ticker_interval' in config
+    assert not log_has('Parameter -i/--ticker-interval detected ...', caplog.record_tuples)
+
+    assert 'live' not in config
+    assert not log_has('Parameter -l/--live detected ...', caplog.record_tuples)
+
+    assert 'realistic_simulation' not in config
+    assert not log_has('Parameter --realistic-simulation detected ...', caplog.record_tuples)
+
+    assert 'refresh_pairs' not in config
+    assert not log_has('Parameter -r/--refresh-pairs-cached detected ...', caplog.record_tuples)
+
+    assert 'timerange' not in config
+    assert 'export' not in config
+
+
+def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> None:
+    """
+    Test setup_configuration() function
+    """
+    mocker.patch('freqtrade.configuration.open', mocker.mock_open(
+        read_data=json.dumps(default_conf)
+    ))
+
+    args = [
+        '--config', 'config.json',
+        '--strategy', 'default_strategy',
+        '--datadir', '/foo/bar',
+        'backtesting',
+        '--ticker-interval', '1',
+        '--live',
+        '--realistic-simulation',
+        '--refresh-pairs-cached',
+        '--timerange', ':100',
+        '--export', '/bar/foo'
+    ]
+
+    config = setup_configuration(get_args(args))
+    assert 'max_open_trades' in config
+    assert 'stake_currency' in config
+    assert 'stake_amount' in config
+    assert 'exchange' in config
+    assert 'pair_whitelist' in config['exchange']
+    assert 'datadir' in config
+    assert log_has(
+        'Parameter --datadir detected: {} ...'.format(config['datadir']),
+        caplog.record_tuples
+    )
+    assert 'ticker_interval' in config
+    assert log_has('Parameter -i/--ticker-interval detected ...', caplog.record_tuples)
+    assert log_has(
+        'Using ticker_interval: 1 ...',
+        caplog.record_tuples
+    )
+
+    assert 'live' in config
+    assert log_has('Parameter -l/--live detected ...', caplog.record_tuples)
+
+    assert 'realistic_simulation'in config
+    assert log_has('Parameter --realistic-simulation detected ...', caplog.record_tuples)
+    assert log_has('Using max_open_trades: 1 ...', caplog.record_tuples)
+
+    assert 'refresh_pairs'in config
+    assert log_has('Parameter -r/--refresh-pairs-cached detected ...', caplog.record_tuples)
+    assert 'timerange' in config
+    assert log_has(
+        'Parameter --timerange detected: {} ...'.format(config['timerange']),
+        caplog.record_tuples
+    )
+
+    assert 'export' in config
+    assert log_has(
+        'Parameter --export detected: {} ...'.format(config['export']),
+        caplog.record_tuples
+    )
+
+
+def test_start(mocker, default_conf, caplog) -> None:
+    """
+    Test start() function
+    """
+    start_mock = MagicMock()
+    mocker.patch('freqtrade.optimize.backtesting.Backtesting.start', start_mock)
+    mocker.patch('freqtrade.configuration.open', mocker.mock_open(
+        read_data=json.dumps(default_conf)
+    ))
+    args = [
+        '--config', 'config.json',
+        '--strategy', 'default_strategy',
+        'backtesting'
+    ]
+    args = get_args(args)
+    start(args)
+    assert log_has(
+        'Starting freqtrade in Backtesting mode',
+        caplog.record_tuples
+    )
+    assert start_mock.call_count == 1
+
+
+def test_backtesting__init__(mocker, default_conf) -> None:
+    """
+    Test Backtesting.__init__() method
+    """
+    init_mock = MagicMock()
+    mocker.patch('freqtrade.optimize.backtesting.Backtesting._init', init_mock)
+
+    backtesting = Backtesting(default_conf)
+    assert backtesting.config == default_conf
+    assert backtesting.analyze is None
+    assert backtesting.ticker_interval is None
+    assert backtesting.tickerdata_to_dataframe is None
+    assert backtesting.populate_buy_trend is None
+    assert backtesting.populate_sell_trend is None
+    assert init_mock.call_count == 1
+
+
+def test_backtesting_init(default_conf) -> None:
+    """
+    Test Backtesting._init() method
+    """
+    backtesting = Backtesting(default_conf)
+    assert backtesting.config == default_conf
+    assert isinstance(backtesting.analyze, Analyze)
+    assert backtesting.ticker_interval == 5
+    assert callable(backtesting.tickerdata_to_dataframe)
+    assert callable(backtesting.populate_buy_trend)
+    assert callable(backtesting.populate_sell_trend)
+
+
+def test_tickerdata_to_dataframe(default_conf) -> None:
+    """
+    Test Backtesting.tickerdata_to_dataframe() method
+    """
+
+    timerange = ((None, 'line'), None, -100)
+    tick = optimize.load_tickerdata_file(None, 'BTC_UNITEST', 1, timerange=timerange)
+    tickerlist = {'BTC_UNITEST': tick}
+
+    backtesting = _BACKTESTING
+    data = backtesting.tickerdata_to_dataframe(tickerlist)
+    assert len(data['BTC_UNITEST']) == 100
+
+    # Load Analyze to compare the result between Backtesting function and Analyze are the same
+    analyze = Analyze(default_conf)
+    data2 = analyze.tickerdata_to_dataframe(tickerlist)
+    assert data['BTC_UNITEST'].equals(data2['BTC_UNITEST'])
+
+
+def test_get_timeframe() -> None:
+    """
+    Test Backtesting.get_timeframe() method
+    """
+    backtesting = _BACKTESTING
+
+    data = backtesting.tickerdata_to_dataframe(
+        optimize.load_data(
+            None,
+            ticker_interval=1,
+            pairs=['BTC_UNITEST']
+        )
+    )
+    min_date, max_date = backtesting.get_timeframe(data)
+    assert min_date.isoformat() == '2017-11-04T23:02:00+00:00'
+    assert max_date.isoformat() == '2017-11-14T22:59:00+00:00'
+
+
+def test_generate_text_table():
+    """
+    Test Backtesting.generate_text_table() method
+    """
+    backtesting = _BACKTESTING
+
+    results = pd.DataFrame(
+        {
+            'currency': ['BTC_ETH', 'BTC_ETH'],
+            'profit_percent': [0.1, 0.2],
+            'profit_BTC': [0.2, 0.4],
+            'duration': [10, 30],
+            'profit': [2, 0],
+            'loss': [0, 0]
+        }
+    )
+
+    result_str = (
+        'pair       buy count    avg profit %    '
+        'total profit BTC    avg duration    profit    loss\n'
+        '-------  -----------  --------------  '
+        '------------------  --------------  --------  ------\n'
+        'BTC_ETH            2           15.00          '
+        '0.60000000            20.0         2       0\n'
+        'TOTAL              2           15.00          '
+        '0.60000000            20.0         2       0'
+    )
+
+    assert backtesting._generate_text_table(data={'BTC_ETH': {}}, results=results) == result_str
+
+
+def test_backtesting_start(default_conf, mocker, caplog) -> None:
+    """
+    Test Backtesting.start() method
+    """
+    def get_timeframe(input1, input2):
+        return Arrow(2017, 11, 14, 21, 17), Arrow(2017, 11, 14, 22, 59)
+
+    mocker.patch('freqtrade.freqtradebot.Analyze', MagicMock())
+    mocker.patch('freqtrade.optimize.load_data', mocked_load_data)
+    mocker.patch('freqtrade.exchange.get_ticker_history')
+    mocker.patch.multiple(
+        'freqtrade.optimize.backtesting.Backtesting',
+        backtest=MagicMock(),
+        _generate_text_table=MagicMock(return_value='1'),
+        get_timeframe=get_timeframe,
+    )
+
+    conf = deepcopy(default_conf)
+    conf['exchange']['pair_whitelist'] = ['BTC_UNITEST']
+    conf['ticker_interval'] = 1
+    conf['live'] = False
+    conf['datadir'] = None
+    conf['export'] = None
+    conf['timerange'] = '-100'
+
+    backtesting = Backtesting(conf)
+    backtesting.start()
+    # check the logs, that will contain the backtest result
+    exists = [
+        'Using local backtesting data (using whitelist in given config) ...',
+        'Using stake_currency: BTC ...',
+        'Using stake_amount: 0.001 ...',
+        'Measuring data from 2017-11-14T21:17:00+00:00 '
+        'up to 2017-11-14T22:59:00+00:00 (0 days)..'
+    ]
+    for line in exists:
+        assert log_has(line, caplog.record_tuples)
+
+
+def test_backtest(default_conf) -> None:
+    """
+    Test Backtesting.backtest() method
+    """
+    backtesting = _BACKTESTING
+
+    data = optimize.load_data(None, ticker_interval=5, pairs=['BTC_ETH'])
+    data = trim_dictlist(data, -200)
+    results = backtesting.backtest(
+        {
+            'stake_amount': default_conf['stake_amount'],
+            'processed': backtesting.tickerdata_to_dataframe(data),
+            'max_open_trades': 10,
+            'realistic': True
+        }
+    )
     assert not results.empty
 
 
-def test_backtest_clash_buy_sell(default_conf, mocker, default_strategy):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
+def test_backtest_1min_ticker_interval(default_conf) -> None:
+    """
+    Test Backtesting.backtest() method with 1 min ticker
+    """
+    backtesting = _BACKTESTING
 
+    # Run a backtesting for an exiting 5min ticker_interval
+    data = optimize.load_data(None, ticker_interval=1, pairs=['BTC_UNITEST'])
+    data = trim_dictlist(data, -200)
+    results = backtesting.backtest(
+        {
+            'stake_amount': default_conf['stake_amount'],
+            'processed': backtesting.tickerdata_to_dataframe(data),
+            'max_open_trades': 1,
+            'realistic': True
+        }
+    )
+    assert not results.empty
+
+
+def test_processed() -> None:
+    """
+    Test Backtesting.backtest() method with offline data
+    """
+    backtesting = _BACKTESTING
+
+    dict_of_tickerrows = load_data_test('raise')
+    dataframes = backtesting.tickerdata_to_dataframe(dict_of_tickerrows)
+    dataframe = dataframes['BTC_UNITEST']
+    cols = dataframe.columns
+    # assert the dataframe got some of the indicator columns
+    for col in ['close', 'high', 'low', 'open', 'date',
+                'ema50', 'ao', 'macd', 'plus_dm']:
+        assert col in cols
+
+
+def test_backtest_pricecontours(default_conf) -> None:
+    tests = [['raise', 17], ['lower', 0], ['sine', 17]]
+    for [contour, numres] in tests:
+        simple_backtest(default_conf, contour, numres)
+
+
+# Test backtest using offline data (testdata directory)
+def test_backtest_ticks(default_conf):
+    ticks = [1, 5]
+    fun = _BACKTESTING.populate_buy_trend
+    for tick in ticks:
+        backtest_conf = _make_backtest_conf(conf=default_conf)
+        results = _run_backtest_1(fun, backtest_conf)
+        assert not results.empty
+
+
+def test_backtest_clash_buy_sell(default_conf):
     # Override the default buy trend function in our default_strategy
     def fun(dataframe=None):
         buy_value = 1
@@ -216,13 +505,11 @@ def test_backtest_clash_buy_sell(default_conf, mocker, default_strategy):
         return _trend(dataframe, buy_value, sell_value)
 
     backtest_conf = _make_backtest_conf(conf=default_conf)
-    results = _run_backtest_1(default_strategy, fun, backtest_conf)
+    results = _run_backtest_1(fun, backtest_conf)
     assert results.empty
 
 
-def test_backtest_only_sell(default_conf, mocker, default_strategy):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-
+def test_backtest_only_sell(default_conf):
     # Override the default buy trend function in our default_strategy
     def fun(dataframe=None):
         buy_value = 0
@@ -230,31 +517,29 @@ def test_backtest_only_sell(default_conf, mocker, default_strategy):
         return _trend(dataframe, buy_value, sell_value)
 
     backtest_conf = _make_backtest_conf(conf=default_conf)
-    results = _run_backtest_1(default_strategy, fun, backtest_conf)
+    results = _run_backtest_1(fun, backtest_conf)
     assert results.empty
 
 
-def test_backtest_alternate_buy_sell(default_conf, mocker, default_strategy):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
+def test_backtest_alternate_buy_sell(default_conf):
     backtest_conf = _make_backtest_conf(conf=default_conf, pair='BTC_UNITEST')
-    results = _run_backtest_1(default_strategy, _trend_alternate,
-                              backtest_conf)
+    results = _run_backtest_1(_trend_alternate, backtest_conf)
     assert len(results) == 3
 
 
-def test_backtest_record(default_conf, mocker, default_strategy):
+def test_backtest_record(default_conf, mocker):
     names = []
     records = []
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.misc.file_dump_json',
-                 new=lambda n, r: (names.append(n), records.append(r)))
+    mocker.patch(
+        'freqtrade.optimize.backtesting.file_dump_json',
+        new=lambda n, r: (names.append(n), records.append(r))
+    )
     backtest_conf = _make_backtest_conf(
         conf=default_conf,
         pair='BTC_UNITEST',
         record="trades"
     )
-    results = _run_backtest_1(default_strategy, _trend_alternate,
-                              backtest_conf)
+    results = _run_backtest_1(_trend_alternate, backtest_conf)
     assert len(results) == 3
     # Assert file_dump_json was only called once
     assert names == ['backtest-result.json']
@@ -277,74 +562,48 @@ def test_backtest_record(default_conf, mocker, default_strategy):
         assert dur > 0
 
 
-def test_processed(default_conf, mocker, default_strategy):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    dict_of_tickerrows = load_data_test('raise')
-    dataframes = optimize.preprocess(dict_of_tickerrows)
-    dataframe = dataframes['BTC_UNITEST']
-    cols = dataframe.columns
-    # assert the dataframe got some of the indicator columns
-    for col in ['close', 'high', 'low', 'open', 'date',
-                'ema50', 'ao', 'macd', 'plus_dm']:
-        assert col in cols
-
-
-def test_backtest_pricecontours(default_conf, mocker, default_strategy):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    tests = [['raise', 17], ['lower', 0], ['sine', 17]]
-    for [contour, numres] in tests:
-        simple_backtest(default_conf, contour, numres)
-
-
-def mocked_load_data(datadir, pairs=[], ticker_interval=0, refresh_pairs=False, timerange=None):
-    tickerdata = optimize.load_tickerdata_file(datadir, 'BTC_UNITEST', 1, timerange=timerange)
-    pairdata = {'BTC_UNITEST': tickerdata}
-    return pairdata
-
-
-def test_backtest_start(default_conf, mocker, caplog):
-    caplog.set_level(logging.INFO)
-    default_conf['exchange']['pair_whitelist'] = ['BTC_UNITEST']
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.misc.load_config', new=lambda s: default_conf)
-    mocker.patch.multiple('freqtrade.optimize',
-                          load_data=mocked_load_data)
-    args = MagicMock()
-    args.ticker_interval = 1
-    args.level = 10
-    args.live = False
-    args.datadir = None
-    args.export = None
-    args.timerange = '-100'  # needed due to MagicMock malleability
-    backtesting.start(args)
-    # check the logs, that will contain the backtest result
-    exists = ['Using max_open_trades: 1 ...',
-              'Using stake_amount: 0.001 ...',
-              'Measuring data from 2017-11-14T21:17:00+00:00 '
-              'up to 2017-11-14T22:59:00+00:00 (0 days)..']
-    for line in exists:
-        assert log_has(line, caplog.record_tuples)
-
-
-def test_backtest_start_live(default_strategy, default_conf, mocker, caplog):
-    caplog.set_level(logging.INFO)
+def test_backtest_start_live(default_conf, mocker, caplog):
     default_conf['exchange']['pair_whitelist'] = ['BTC_UNITEST']
     mocker.patch('freqtrade.exchange.get_ticker_history',
                  new=lambda n, i: _load_pair_as_ticks(n, i))
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.misc.load_config', new=lambda s: default_conf)
+    mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', MagicMock())
+    mocker.patch('freqtrade.optimize.backtesting.Backtesting._generate_text_table', MagicMock())
+    mocker.patch('freqtrade.configuration.open', mocker.mock_open(
+        read_data=json.dumps(default_conf)
+    ))
+
     args = MagicMock()
     args.ticker_interval = 1
     args.level = 10
     args.live = True
     args.datadir = None
     args.export = None
+    args.strategy = 'default_strategy'
     args.timerange = '-100'  # needed due to MagicMock malleability
-    backtesting.start(args)
+
+    args = [
+        '--config', 'config.json',
+        '--strategy', 'default_strategy',
+        'backtesting',
+        '--ticker-interval', '1',
+        '--live',
+        '--timerange', '-100'
+    ]
+    args = get_args(args)
+    start(args)
     # check the logs, that will contain the backtest result
-    exists = ['Using max_open_trades: 1 ...',
+    exists = [
+        'Parameter -i/--ticker-interval detected ...',
+        'Using ticker_interval: 1 ...',
+        'Parameter -l/--live detected ...',
+        'Using max_open_trades: 1 ...',
+        'Parameter --timerange detected: -100 ..',
+        'Parameter --datadir detected: freqtrade/tests/testdata ...',
+        'Using stake_currency: BTC ...',
         'Using stake_amount: 0.001 ...',
-              'Measuring data from 2017-11-14T19:32:00+00:00 '
-              'up to 2017-11-14T22:59:00+00:00 (0 days)..']
+        'Downloading data for all pairs in whitelist ...',
+        'Measuring data from 2017-11-14T19:32:00+00:00 up to 2017-11-14T22:59:00+00:00 (0 days)..'
+    ]
+
     for line in exists:
-        assert log_has(line, caplog.record_tuples)
+        log_has(line, caplog.record_tuples)

freqtrade/tests/optimize/test_hyperopt.py

@@ -1,125 +1,141 @@
 # pragma pylint: disable=missing-docstring,W0212,C0103
-import logging
-
+import json
+import os
+from copy import deepcopy
 from unittest.mock import MagicMock
 
 import pandas as pd
 
-from freqtrade.optimize.hyperopt import calculate_loss, TARGET_TRADES, EXPECTED_MAX_PROFIT, start, \
-    log_results, save_trials, read_trials, generate_roi_table, has_space
+from freqtrade.optimize.__init__ import load_tickerdata_file
+from freqtrade.optimize.hyperopt import Hyperopt, start
 from freqtrade.strategy.strategy import Strategy
-import freqtrade.optimize.hyperopt as hyperopt
+from freqtrade.tests.conftest import default_conf, log_has
+from freqtrade.tests.optimize.test_backtesting import get_args
 
 
-def test_loss_calculation_prefer_correct_trade_count():
-    correct = calculate_loss(1, TARGET_TRADES, 20)
-    over = calculate_loss(1, TARGET_TRADES + 100, 20)
-    under = calculate_loss(1, TARGET_TRADES - 100, 20)
-    assert over > correct
-    assert under > correct
+# Avoid to reinit the same object again and again
+_HYPEROPT = Hyperopt(default_conf())
 
 
-def test_loss_calculation_prefer_shorter_trades():
-    shorter = calculate_loss(1, 100, 20)
-    longer = calculate_loss(1, 100, 30)
-    assert shorter < longer
-
-
-def test_loss_calculation_has_limited_profit():
-    correct = calculate_loss(EXPECTED_MAX_PROFIT, TARGET_TRADES, 20)
-    over = calculate_loss(EXPECTED_MAX_PROFIT * 2, TARGET_TRADES, 20)
-    under = calculate_loss(EXPECTED_MAX_PROFIT / 2, TARGET_TRADES, 20)
-    assert over == correct
-    assert under > correct
-
-
-def create_trials(mocker):
+# Functions for recurrent object patching
+def create_trials(mocker) -> None:
     """
     When creating trials, mock the hyperopt Trials so that *by default*
       - we don't create any pickle'd files in the filesystem
       - we might have a pickle'd file so make sure that we return
         false when looking for it
     """
-    mocker.patch('freqtrade.optimize.hyperopt.TRIALS_FILE',
-                 return_value='freqtrade/tests/optimize/ut_trials.pickle')
-    mocker.patch('freqtrade.optimize.hyperopt.os.path.exists',
-                 return_value=False)
-    mocker.patch('freqtrade.optimize.hyperopt.save_trials',
-                 return_value=None)
-    mocker.patch('freqtrade.optimize.hyperopt.read_trials',
-                 return_value=None)
-    mocker.patch('freqtrade.optimize.hyperopt.os.remove',
-                 return_value=True)
+    _HYPEROPT.trials_file = os.path.join('freqtrade', 'tests', 'optimize', 'ut_trials.pickle')
+
+    mocker.patch('freqtrade.optimize.hyperopt.os.path.exists', return_value=False)
+    mocker.patch('freqtrade.optimize.hyperopt.os.path.getsize', return_value=1)
+    mocker.patch('freqtrade.optimize.hyperopt.os.remove', return_value=True)
+    mocker.patch('freqtrade.optimize.hyperopt.pickle.dump', return_value=None)
+
     return mocker.Mock(
-        results=[{
+        results=[
+            {
                 'loss': 1,
                 'result': 'foo',
                 'status': 'ok'
-        }],
+            }
+        ],
         best_trial={'misc': {'vals': {'adx': 999}}}
     )
 
 
-def test_start_calls_fmin(mocker):
-    trials = create_trials(mocker)
-    mocker.patch('freqtrade.optimize.tickerdata_to_dataframe')
-    mocker.patch('freqtrade.optimize.hyperopt.TRIALS', return_value=trials)
-    mocker.patch('freqtrade.optimize.hyperopt.sorted',
-                 return_value=trials.results)
-    mocker.patch('freqtrade.optimize.preprocess')
-    mocker.patch('freqtrade.optimize.load_data')
-    mock_fmin = mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
-
-    args = mocker.Mock(epochs=1, config='config.json.example', mongodb=False,
-                       timerange=None, spaces='all')
-    Strategy().init({'strategy': 'default_strategy'})
+# Unit tests
+def test_start(mocker, default_conf, caplog) -> None:
+    """
+    Test start() function
+    """
+    start_mock = MagicMock()
+    mocker.patch('freqtrade.logger.Logger.set_format', MagicMock())
+    mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.start', start_mock)
+    mocker.patch('freqtrade.configuration.open', mocker.mock_open(
+        read_data=json.dumps(default_conf)
+    ))
+    args = [
+        '--config', 'config.json',
+        '--strategy', 'default_strategy',
+        'hyperopt',
+        '--epochs', '5'
+    ]
+    args = get_args(args)
+    Strategy({'strategy': 'default_strategy'})
     start(args)
 
-    mock_fmin.assert_called_once()
+    import pprint
+    pprint.pprint(caplog.record_tuples)
+
+    assert log_has(
+        'Starting freqtrade in Hyperopt mode',
+        caplog.record_tuples
+    )
+    assert start_mock.call_count == 1
 
 
-def test_start_uses_mongotrials(mocker):
-    mock_mongotrials = mocker.patch('freqtrade.optimize.hyperopt.MongoTrials',
-                                    return_value=create_trials(mocker))
-    mocker.patch('freqtrade.optimize.tickerdata_to_dataframe')
-    mocker.patch('freqtrade.optimize.load_data')
-    mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
+def test_loss_calculation_prefer_correct_trade_count() -> None:
+    """
+    Test Hyperopt.calculate_loss()
+    """
+    hyperopt = _HYPEROPT
+    Strategy({'strategy': 'default_strategy'})
 
-    args = mocker.Mock(epochs=1, config='config.json.example', mongodb=True,
-                       timerange=None, spaces='all')
-    Strategy().init({'strategy': 'default_strategy'})
-    start(args)
-
-    mock_mongotrials.assert_called_once()
+    correct = hyperopt.calculate_loss(1, hyperopt.target_trades, 20)
+    over = hyperopt.calculate_loss(1, hyperopt.target_trades + 100, 20)
+    under = hyperopt.calculate_loss(1, hyperopt.target_trades - 100, 20)
+    assert over > correct
+    assert under > correct
 
 
-def test_log_results_if_loss_improves(mocker):
-    logger = mocker.patch('freqtrade.optimize.hyperopt.logger.info')
-    global CURRENT_BEST_LOSS
-    CURRENT_BEST_LOSS = 2
-    log_results({
+def test_loss_calculation_prefer_shorter_trades() -> None:
+    """
+    Test Hyperopt.calculate_loss()
+    """
+    hyperopt = _HYPEROPT
+
+    shorter = hyperopt.calculate_loss(1, 100, 20)
+    longer = hyperopt.calculate_loss(1, 100, 30)
+    assert shorter < longer
+
+
+def test_loss_calculation_has_limited_profit() -> None:
+    hyperopt = _HYPEROPT
+
+    correct = hyperopt.calculate_loss(hyperopt.expected_max_profit, hyperopt.target_trades, 20)
+    over = hyperopt.calculate_loss(hyperopt.expected_max_profit * 2, hyperopt.target_trades, 20)
+    under = hyperopt.calculate_loss(hyperopt.expected_max_profit / 2, hyperopt.target_trades, 20)
+    assert over == correct
+    assert under > correct
+
+
+def test_log_results_if_loss_improves(caplog) -> None:
+    hyperopt = _HYPEROPT
+    hyperopt.current_best_loss = 2
+    hyperopt.log_results(
+        {
             'loss': 1,
             'current_tries': 1,
             'total_tries': 2,
             'result': 'foo'
-    })
-
-    logger.assert_called_once()
+        }
+    )
+    assert log_has('    1/2: foo. Loss 1.00000', caplog.record_tuples)
 
 
-def test_no_log_if_loss_does_not_improve(mocker):
-    logger = mocker.patch('freqtrade.optimize.hyperopt.logger.info')
-    global CURRENT_BEST_LOSS
-    CURRENT_BEST_LOSS = 2
-    log_results({
+def test_no_log_if_loss_does_not_improve(caplog) -> None:
+    hyperopt = _HYPEROPT
+    hyperopt.current_best_loss = 2
+    hyperopt.log_results(
+        {
             'loss': 3,
-    })
-
-    assert not logger.called
+        }
+    )
+    assert caplog.record_tuples == []
 
 
-def test_fmin_best_results(mocker, caplog):
-    caplog.set_level(logging.INFO)
+def test_fmin_best_results(mocker, default_conf, caplog) -> None:
     fmin_result = {
         "macd_below_zero": 0,
         "adx": 1,
@@ -144,41 +160,67 @@ def test_fmin_best_results(mocker, caplog):
         "roi_p3": 3,
     }
 
-    mocker.patch('freqtrade.optimize.hyperopt.MongoTrials', return_value=create_trials(mocker))
-    mocker.patch('freqtrade.optimize.tickerdata_to_dataframe')
-    mocker.patch('freqtrade.optimize.load_data')
-    mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value=fmin_result)
+    conf = deepcopy(default_conf)
+    conf.update({'config': 'config.json.example'})
+    conf.update({'epochs': 1})
+    conf.update({'timerange': None})
+    conf.update({'spaces': 'all'})
 
-    args = mocker.Mock(epochs=1, config='config.json.example',
-                       timerange=None, spaces='all')
-    Strategy().init({'strategy': 'default_strategy'})
-    start(args)
+    mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
+    mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value=fmin_result)
+    mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
+    mocker.patch('freqtrade.logger.Logger.set_format', MagicMock())
+
+    Strategy({'strategy': 'default_strategy'})
+    hyperopt = Hyperopt(conf)
+    hyperopt.trials = create_trials(mocker)
+    hyperopt.tickerdata_to_dataframe = MagicMock()
+    hyperopt.start()
 
     exists = [
-        'Best parameters',
+        'Best parameters:',
         '"adx": {\n        "enabled": true,\n        "value": 15.0\n    },',
+        '"fastd": {\n        "enabled": true,\n        "value": 40.0\n    },',
         '"green_candle": {\n        "enabled": true\n    },',
+        '"macd_below_zero": {\n        "enabled": false\n    },',
         '"mfi": {\n        "enabled": false\n    },',
+        '"over_sar": {\n        "enabled": false\n    },',
+        '"roi_p1": 1.0,',
+        '"roi_p2": 2.0,',
+        '"roi_p3": 3.0,',
+        '"roi_t1": 1.0,',
+        '"roi_t2": 2.0,',
+        '"roi_t3": 3.0,',
+        '"rsi": {\n        "enabled": true,\n        "value": 37.0\n    },',
+        '"stoploss": -0.1,',
         '"trigger": {\n        "type": "faststoch10"\n    },',
-        '"stoploss": -0.1',
+        '"uptrend_long_ema": {\n        "enabled": true\n    },',
+        '"uptrend_short_ema": {\n        "enabled": false\n    },',
+        '"uptrend_sma": {\n        "enabled": false\n    }',
+        'ROI table:\n{0: 6.0, 3.0: 3.0, 5.0: 1.0, 6.0: 0}',
+        'Best Result:\nfoo'
     ]
-
     for line in exists:
         assert line in caplog.text
 
 
-def test_fmin_throw_value_error(mocker, caplog):
-    caplog.set_level(logging.INFO)
-    Strategy().init({'strategy': 'default_strategy'})
-    mocker.patch('freqtrade.optimize.hyperopt.MongoTrials', return_value=create_trials(mocker))
-    mocker.patch('freqtrade.optimize.tickerdata_to_dataframe')
-    mocker.patch('freqtrade.optimize.load_data')
+def test_fmin_throw_value_error(mocker, default_conf, caplog) -> None:
+    mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
     mocker.patch('freqtrade.optimize.hyperopt.fmin', side_effect=ValueError())
 
-    args = mocker.Mock(epochs=1, config='config.json.example',
-                       timerange=None, spaces='all')
-    Strategy().init({'strategy': 'default_strategy'})
-    start(args)
+    conf = deepcopy(default_conf)
+    conf.update({'config': 'config.json.example'})
+    conf.update({'epochs': 1})
+    conf.update({'timerange': None})
+    conf.update({'spaces': 'all'})
+    mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
+    mocker.patch('freqtrade.logger.Logger.set_format', MagicMock())
+    Strategy({'strategy': 'default_strategy'})
+    hyperopt = Hyperopt(conf)
+    hyperopt.trials = create_trials(mocker)
+    hyperopt.tickerdata_to_dataframe = MagicMock()
+
+    hyperopt.start()
 
     exists = [
         'Best Result:',
@@ -190,69 +232,82 @@ def test_fmin_throw_value_error(mocker, caplog):
         assert line in caplog.text
 
 
-def test_resuming_previous_hyperopt_results_succeeds(mocker):
-    import freqtrade.optimize.hyperopt as hyperopt
+def test_resuming_previous_hyperopt_results_succeeds(mocker, default_conf) -> None:
     trials = create_trials(mocker)
-    mocker.patch('freqtrade.optimize.hyperopt.TRIALS',
-                 return_value=trials)
-    mocker.patch('freqtrade.optimize.hyperopt.os.path.exists',
-                 return_value=True)
-    mocker.patch('freqtrade.optimize.hyperopt.len',
-                 return_value=len(trials.results))
-    mock_read = mocker.patch('freqtrade.optimize.hyperopt.read_trials',
-                             return_value=trials)
-    mock_save = mocker.patch('freqtrade.optimize.hyperopt.save_trials',
-                             return_value=None)
-    mocker.patch('freqtrade.optimize.hyperopt.sorted',
-                 return_value=trials.results)
-    mocker.patch('freqtrade.optimize.preprocess')
-    mocker.patch('freqtrade.optimize.load_data')
-    mocker.patch('freqtrade.optimize.hyperopt.fmin',
-                 return_value={})
-    args = mocker.Mock(epochs=1,
-                       config='config.json.example',
-                       mongodb=False,
-                       timerange=None,
-                       spaces='all')
-    Strategy().init({'strategy': 'default_strategy'})
-    start(args)
+
+    conf = deepcopy(default_conf)
+    conf.update({'config': 'config.json.example'})
+    conf.update({'epochs': 1})
+    conf.update({'mongodb': False})
+    conf.update({'timerange': None})
+    conf.update({'spaces': 'all'})
+
+    mocker.patch('freqtrade.optimize.hyperopt.os.path.exists', return_value=True)
+    mocker.patch('freqtrade.optimize.hyperopt.len', return_value=len(trials.results))
+    mock_read = mocker.patch(
+        'freqtrade.optimize.hyperopt.Hyperopt.read_trials',
+        return_value=trials
+    )
+    mock_save = mocker.patch(
+        'freqtrade.optimize.hyperopt.Hyperopt.save_trials',
+        return_value=None
+    )
+    mocker.patch('freqtrade.optimize.hyperopt.sorted', return_value=trials.results)
+    mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
+    mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
+    mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
+    mocker.patch('freqtrade.logger.Logger.set_format', MagicMock())
+
+    Strategy({'strategy': 'default_strategy'})
+    hyperopt = Hyperopt(conf)
+    hyperopt.trials = trials
+    hyperopt.tickerdata_to_dataframe = MagicMock()
+
+    hyperopt.start()
 
     mock_read.assert_called_once()
     mock_save.assert_called_once()
 
-    current_tries = hyperopt._CURRENT_TRIES
-    total_tries = hyperopt.TOTAL_TRIES
+    current_tries = hyperopt.current_tries
+    total_tries = hyperopt.total_tries
 
     assert current_tries == len(trials.results)
     assert total_tries == (current_tries + len(trials.results))
 
 
-def test_save_trials_saves_trials(mocker):
+def test_save_trials_saves_trials(mocker, caplog) -> None:
+    create_trials(mocker)
+    mock_dump = mocker.patch('freqtrade.optimize.hyperopt.pickle.dump', return_value=None)
+
+    hyperopt = _HYPEROPT
+    mocker.patch('freqtrade.optimize.hyperopt.open', return_value=hyperopt.trials_file)
+
+    hyperopt.save_trials()
+
+    assert log_has(
+        'Saving Trials to \'freqtrade/tests/optimize/ut_trials.pickle\'',
+        caplog.record_tuples
+    )
+    mock_dump.assert_called_once()
+
+
+def test_read_trials_returns_trials_file(mocker, caplog) -> None:
     trials = create_trials(mocker)
-    mock_dump = mocker.patch('freqtrade.optimize.hyperopt.pickle.dump',
-                             return_value=None)
-    trials_path = mocker.patch('freqtrade.optimize.hyperopt.TRIALS_FILE',
-                               return_value='ut_trials.pickle')
-    mocker.patch('freqtrade.optimize.hyperopt.open',
-                 return_value=trials_path)
-    save_trials(trials, trials_path)
+    mock_load = mocker.patch('freqtrade.optimize.hyperopt.pickle.load', return_value=trials)
+    mock_open = mocker.patch('freqtrade.optimize.hyperopt.open', return_value=mock_load)
 
-    mock_dump.assert_called_once_with(trials, trials_path)
-
-
-def test_read_trials_returns_trials_file(mocker):
-    trials = create_trials(mocker)
-    mock_load = mocker.patch('freqtrade.optimize.hyperopt.pickle.load',
-                             return_value=trials)
-    mock_open = mocker.patch('freqtrade.optimize.hyperopt.open',
-                             return_value=mock_load)
-
-    assert read_trials() == trials
+    hyperopt = _HYPEROPT
+    hyperopt_trial = hyperopt.read_trials()
+    assert log_has(
+        'Reading Trials from \'freqtrade/tests/optimize/ut_trials.pickle\'',
+        caplog.record_tuples
+    )
+    assert hyperopt_trial == trials
     mock_open.assert_called_once()
     mock_load.assert_called_once()
 
 
-def test_roi_table_generation():
+def test_roi_table_generation() -> None:
     params = {
         'roi_t1': 5,
         'roi_t2': 10,
@@ -261,7 +316,54 @@ def test_roi_table_generation():
         'roi_p2': 2,
         'roi_p3': 3,
     }
-    assert generate_roi_table(params) == {0: 6, 15: 3, 25: 1, 30: 0}
+
+    hyperopt = _HYPEROPT
+    assert hyperopt.generate_roi_table(params) == {0: 6, 15: 3, 25: 1, 30: 0}
+
+
+def test_start_calls_fmin(mocker, default_conf) -> None:
+    trials = create_trials(mocker)
+    mocker.patch('freqtrade.optimize.hyperopt.sorted', return_value=trials.results)
+    mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
+    mock_fmin = mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
+
+    conf = deepcopy(default_conf)
+    conf.update({'config': 'config.json.example'})
+    conf.update({'epochs': 1})
+    conf.update({'mongodb': False})
+    conf.update({'timerange': None})
+    conf.update({'spaces': 'all'})
+
+    hyperopt = Hyperopt(conf)
+    hyperopt.trials = trials
+    hyperopt.tickerdata_to_dataframe = MagicMock()
+
+    hyperopt.start()
+    mock_fmin.assert_called_once()
+
+
+def test_start_uses_mongotrials(mocker, default_conf) -> None:
+    mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
+    mock_fmin = mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
+    mock_mongotrials = mocker.patch(
+        'freqtrade.optimize.hyperopt.MongoTrials',
+        return_value=create_trials(mocker)
+    )
+
+    conf = deepcopy(default_conf)
+    conf.update({'config': 'config.json.example'})
+    conf.update({'epochs': 1})
+    conf.update({'mongodb': True})
+    conf.update({'timerange': None})
+    conf.update({'spaces': 'all'})
+    mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
+
+    hyperopt = Hyperopt(conf)
+    hyperopt.tickerdata_to_dataframe = MagicMock()
+
+    hyperopt.start()
+    mock_mongotrials.assert_called_once()
+    mock_fmin.assert_called_once()
 
 
 # test log_trials_result
@@ -269,26 +371,167 @@ def test_roi_table_generation():
 # test optimizer if 'ro_t1' in params
 
 def test_format_results():
-    trades = [('BTC_ETH', 2, 2, 123),
+    """
+    Test Hyperopt.format_results()
+    """
+    trades = [
+        ('BTC_ETH', 2, 2, 123),
         ('BTC_LTC', 1, 1, 123),
-              ('BTC_XRP', -1, -2, -246)]
+        ('BTC_XRP', -1, -2, -246)
+    ]
     labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
     df = pd.DataFrame.from_records(trades, columns=labels)
-    x = hyperopt.format_results(df)
+    x = Hyperopt.format_results(df)
     assert x.find(' 66.67%')
 
 
 def test_signal_handler(mocker):
+    """
+    Test Hyperopt.signal_handler()
+    """
     m = MagicMock()
     mocker.patch('sys.exit', m)
-    mocker.patch('freqtrade.optimize.hyperopt.save_trials', m)
-    mocker.patch('freqtrade.optimize.hyperopt.log_trials_result', m)
+    mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.save_trials', m)
+    mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.log_trials_result', m)
+
+    hyperopt = _HYPEROPT
     hyperopt.signal_handler(9, None)
     assert m.call_count == 3
 
 
 def test_has_space():
-    assert has_space(['buy', 'roi'], 'roi')
-    assert has_space(['buy', 'roi'], 'buy')
-    assert not has_space(['buy', 'roi'], 'stoploss')
-    assert has_space(['all'], 'buy')
+    """
+    Test Hyperopt.has_space() method
+    """
+    _HYPEROPT.config.update({'spaces': ['buy', 'roi']})
+    assert _HYPEROPT.has_space('roi')
+    assert _HYPEROPT.has_space('buy')
+    assert not _HYPEROPT.has_space('stoploss')
+
+    _HYPEROPT.config.update({'spaces': ['all']})
+    assert _HYPEROPT.has_space('buy')
+
+
+def test_populate_indicators() -> None:
+    """
+    Test Hyperopt.populate_indicators()
+    """
+    tick = load_tickerdata_file(None, 'BTC_UNITEST', 1)
+    tickerlist = {'BTC_UNITEST': tick}
+    dataframes = _HYPEROPT.tickerdata_to_dataframe(tickerlist)
+    dataframe = _HYPEROPT.populate_indicators(dataframes['BTC_UNITEST'])
+
+    # Check if some indicators are generated. We will not test all of them
+    assert 'adx' in dataframe
+    assert 'ao' in dataframe
+    assert 'cci' in dataframe
+
+
+def test_buy_strategy_generator() -> None:
+    """
+    Test Hyperopt.buy_strategy_generator()
+    """
+    tick = load_tickerdata_file(None, 'BTC_UNITEST', 1)
+    tickerlist = {'BTC_UNITEST': tick}
+    dataframes = _HYPEROPT.tickerdata_to_dataframe(tickerlist)
+    dataframe = _HYPEROPT.populate_indicators(dataframes['BTC_UNITEST'])
+
+    populate_buy_trend = _HYPEROPT.buy_strategy_generator(
+        {
+            'uptrend_long_ema': {
+                'enabled': True
+            },
+            'macd_below_zero': {
+                'enabled': True
+            },
+            'uptrend_short_ema': {
+                'enabled': True
+            },
+            'mfi': {
+                'enabled': True,
+                'value': 20
+            },
+            'fastd': {
+                'enabled': True,
+                'value': 20
+            },
+            'adx': {
+                'enabled': True,
+                'value': 20
+            },
+            'rsi': {
+                'enabled': True,
+                'value': 20
+            },
+            'over_sar': {
+                'enabled': True,
+            },
+            'green_candle': {
+                'enabled': True,
+            },
+            'uptrend_sma': {
+                'enabled': True,
+            },
+
+            'trigger': {
+                'type': 'lower_bb'
+            }
+        }
+    )
+    result = populate_buy_trend(dataframe)
+    # Check if some indicators are generated. We will not test all of them
+    assert 'buy' in result
+    assert 1 in result['buy']
+
+
+def test_generate_optimizer(mocker, default_conf) -> None:
+    """
+    Test Hyperopt.generate_optimizer() function
+    """
+    conf = deepcopy(default_conf)
+    conf.update({'config': 'config.json.example'})
+    conf.update({'timerange': None})
+    conf.update({'spaces': 'all'})
+
+    trades = [
+        ('BTC_POWR', 0.023117, 0.000233, 100)
+    ]
+    labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
+    backtest_result = pd.DataFrame.from_records(trades, columns=labels)
+
+    mocker.patch(
+        'freqtrade.optimize.hyperopt.Hyperopt.backtest',
+        MagicMock(return_value=backtest_result)
+    )
+
+    optimizer_param = {
+        'adx': {'enabled': False},
+        'fastd': {'enabled': True, 'value': 35.0},
+        'green_candle': {'enabled': True},
+        'macd_below_zero': {'enabled': True},
+        'mfi': {'enabled': False},
+        'over_sar': {'enabled': False},
+        'roi_p1': 0.01,
+        'roi_p2': 0.01,
+        'roi_p3': 0.1,
+        'roi_t1': 60.0,
+        'roi_t2': 30.0,
+        'roi_t3': 20.0,
+        'rsi': {'enabled': False},
+        'stoploss': -0.4,
+        'trigger': {'type': 'macd_cross_signal'},
+        'uptrend_long_ema': {'enabled': False},
+        'uptrend_short_ema': {'enabled': True},
+        'uptrend_sma': {'enabled': True}
+    }
+
+    response_expected = {
+        'loss': 1.9840569076926293,
+        'result': '     1 trades. Avg profit  2.31%. Total profit  0.00023300 BTC '
+                  '(0.0231Σ%). Avg duration 100.0 mins.',
+        'status': 'ok'
+    }
+
+    hyperopt = Hyperopt(conf)
+    generate_optimizer_value = hyperopt.generate_optimizer(optimizer_param)
+    assert generate_optimizer_value == response_expected

freqtrade/tests/optimize/test_optimize.py

@@ -1,16 +1,15 @@
 # pragma pylint: disable=missing-docstring, protected-access, C0103
 
-import os
 import json
-import logging
+import os
 import uuid
 from shutil import copyfile
-from freqtrade import exchange, optimize
-from freqtrade.exchange import Bittrex
+
+from freqtrade import optimize
+from freqtrade.misc import file_dump_json
 from freqtrade.optimize.__init__ import make_testdata_path, download_pairs, \
-    download_backtesting_testdata, load_tickerdata_file, trim_tickerlist, file_dump_json
+    download_backtesting_testdata, load_tickerdata_file, trim_tickerlist
 from freqtrade.tests.conftest import log_has
-from freqtrade.strategy.strategy import Strategy
 
 # Change this if modifying BTC_UNITEST testdatafile
 _BTC_UNITTEST_LENGTH = 13681
@@ -47,12 +46,11 @@ def _clean_test_file(file: str) -> None:
         os.rename(file_swp, file)
 
 
-def test_load_data_30min_ticker(default_conf, ticker_history, mocker, caplog):
-    caplog.set_level(logging.INFO)
+def test_load_data_30min_ticker(ticker_history, mocker, caplog) -> None:
+    """
+    Test load_data() with 30 min ticker
+    """
     mocker.patch('freqtrade.optimize.get_ticker_history', return_value=ticker_history)
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-
-    exchange._API = Bittrex({'key': '', 'secret': ''})
 
     file = 'freqtrade/tests/testdata/BTC_UNITTEST-30.json'
     _backup_file(file, copy_file=True)
@@ -62,12 +60,11 @@ def test_load_data_30min_ticker(default_conf, ticker_history, mocker, caplog):
     _clean_test_file(file)
 
 
-def test_load_data_5min_ticker(default_conf, ticker_history, mocker, caplog):
-    caplog.set_level(logging.INFO)
+def test_load_data_5min_ticker(ticker_history, mocker, caplog) -> None:
+    """
+    Test load_data() with 5 min ticker
+    """
     mocker.patch('freqtrade.optimize.get_ticker_history', return_value=ticker_history)
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-
-    exchange._API = Bittrex({'key': '', 'secret': ''})
 
     file = 'freqtrade/tests/testdata/BTC_ETH-5.json'
     _backup_file(file, copy_file=True)
@@ -77,12 +74,11 @@ def test_load_data_5min_ticker(default_conf, ticker_history, mocker, caplog):
     _clean_test_file(file)
 
 
-def test_load_data_1min_ticker(default_conf, ticker_history, mocker, caplog):
-    caplog.set_level(logging.INFO)
+def test_load_data_1min_ticker(ticker_history, mocker, caplog) -> None:
+    """
+    Test load_data() with 1 min ticker
+    """
     mocker.patch('freqtrade.optimize.get_ticker_history', return_value=ticker_history)
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-
-    exchange._API = Bittrex({'key': '', 'secret': ''})
 
     file = 'freqtrade/tests/testdata/BTC_ETH-1.json'
     _backup_file(file, copy_file=True)
@@ -92,12 +88,11 @@ def test_load_data_1min_ticker(default_conf, ticker_history, mocker, caplog):
     _clean_test_file(file)
 
 
-def test_load_data_with_new_pair_1min(default_conf, ticker_history, mocker, caplog):
-    caplog.set_level(logging.INFO)
+def test_load_data_with_new_pair_1min(ticker_history, mocker, caplog) -> None:
+    """
+    Test load_data() with 1 min ticker
+    """
     mocker.patch('freqtrade.optimize.get_ticker_history', return_value=ticker_history)
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-
-    exchange._API = Bittrex({'key': '', 'secret': ''})
 
     file = 'freqtrade/tests/testdata/BTC_MEME-1.json'
     _backup_file(file)
@@ -107,14 +102,12 @@ def test_load_data_with_new_pair_1min(default_conf, ticker_history, mocker, capl
     _clean_test_file(file)
 
 
-def test_testdata_path():
+def test_testdata_path() -> None:
     assert os.path.join('freqtrade', 'tests', 'testdata') in make_testdata_path(None)
 
 
-def test_download_pairs(default_conf, ticker_history, mocker):
+def test_download_pairs(ticker_history, mocker) -> None:
     mocker.patch('freqtrade.optimize.__init__.get_ticker_history', return_value=ticker_history)
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    exchange._API = Bittrex({'key': '', 'secret': ''})
 
     file1_1 = 'freqtrade/tests/testdata/BTC_MEME-1.json'
     file1_5 = 'freqtrade/tests/testdata/BTC_MEME-5.json'
@@ -151,13 +144,10 @@ def test_download_pairs(default_conf, ticker_history, mocker):
     _clean_test_file(file2_5)
 
 
-def test_download_pairs_exception(default_conf, ticker_history, mocker, caplog):
-    caplog.set_level(logging.INFO)
+def test_download_pairs_exception(ticker_history, mocker, caplog) -> None:
     mocker.patch('freqtrade.optimize.__init__.get_ticker_history', return_value=ticker_history)
     mocker.patch('freqtrade.optimize.__init__.download_backtesting_testdata',
                  side_effect=BaseException('File Error'))
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    exchange._API = Bittrex({'key': '', 'secret': ''})
 
     file1_1 = 'freqtrade/tests/testdata/BTC_MEME-1.json'
     file1_5 = 'freqtrade/tests/testdata/BTC_MEME-5.json'
@@ -171,10 +161,8 @@ def test_download_pairs_exception(default_conf, ticker_history, mocker, caplog):
     assert log_has('Failed to download the pair: "BTC-MEME", Interval: 1 min', caplog.record_tuples)
 
 
-def test_download_backtesting_testdata(default_conf, ticker_history, mocker):
+def test_download_backtesting_testdata(ticker_history, mocker) -> None:
     mocker.patch('freqtrade.optimize.__init__.get_ticker_history', return_value=ticker_history)
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    exchange._API = Bittrex({'key': '', 'secret': ''})
 
     # Download a 1 min ticker file
     file1 = 'freqtrade/tests/testdata/BTC_XEL-1.json'
@@ -192,7 +180,7 @@ def test_download_backtesting_testdata(default_conf, ticker_history, mocker):
     _clean_test_file(file2)
 
 
-def test_download_backtesting_testdata2(mocker):
+def test_download_backtesting_testdata2(mocker) -> None:
     tick = [{'T': 'bar'}, {'T': 'foo'}]
     mocker.patch('freqtrade.misc.file_dump_json', return_value=None)
     mocker.patch('freqtrade.optimize.__init__.get_ticker_history', return_value=tick)
@@ -200,7 +188,7 @@ def test_download_backtesting_testdata2(mocker):
     assert download_backtesting_testdata(None, pair="BTC-UNITEST", interval=3)
 
 
-def test_load_tickerdata_file():
+def test_load_tickerdata_file() -> None:
     # 7 does not exist in either format.
     assert not load_tickerdata_file(None, 'BTC_UNITEST', 7)
     # 1 exists only as a .json
@@ -211,23 +199,18 @@ def test_load_tickerdata_file():
     assert _BTC_UNITTEST_LENGTH == len(tickerdata)
 
 
-def test_init(default_conf, mocker):
+def test_init(default_conf, mocker) -> None:
     conf = {'exchange': {'pair_whitelist': []}}
     mocker.patch('freqtrade.optimize.hyperopt_optimize_conf', return_value=conf)
-    assert {} == optimize.load_data('', pairs=[], refresh_pairs=True,
-                                    ticker_interval=int(default_conf['ticker_interval']))
+    assert {} == optimize.load_data(
+        '',
+        pairs=[],
+        refresh_pairs=True,
+        ticker_interval=int(default_conf['ticker_interval'])
+    )
 
 
-def test_tickerdata_to_dataframe():
-    Strategy().init({'strategy': 'default_strategy'})
-    timerange = ((None, 'line'), None, -100)
-    tick = load_tickerdata_file(None, 'BTC_UNITEST', 1, timerange=timerange)
-    tickerlist = {'BTC_UNITEST': tick}
-    data = optimize.tickerdata_to_dataframe(tickerlist)
-    assert len(data['BTC_UNITEST']) == 100
-
-
-def test_trim_tickerlist():
+def test_trim_tickerlist() -> None:
     with open('freqtrade/tests/testdata/BTC_ETH-1.json') as data_file:
         ticker_list = json.load(data_file)
     ticker_list_len = len(ticker_list)
@@ -272,7 +255,11 @@ def test_trim_tickerlist():
     assert ticker_list_len == ticker_len
 
 
-def test_file_dump_json():
+def test_file_dump_json() -> None:
+    """
+    Test file_dump_json()
+    :return: None
+    """
     file = 'freqtrade/tests/testdata/test_{id}.json'.format(id=str(uuid.uuid4()))
     data = {'bar': 'foo'}
 

freqtrade/tests/rpc/test_rpc.py

@@ -1,203 +1,133 @@
-# pragma pylint: disable=missing-docstring, too-many-arguments, too-many-ancestors, C0103
+# pragma pylint: disable=invalid-sequence-index, invalid-name, too-many-arguments
+
+"""
+Unit test file for rpc/rpc.py
+"""
+
 from datetime import datetime
-from copy import deepcopy
 from unittest.mock import MagicMock
+
 from sqlalchemy import create_engine
 
-from freqtrade.rpc import init, cleanup, send_msg
+from freqtrade.freqtradebot import FreqtradeBot
 from freqtrade.persistence import Trade
-import freqtrade.main as main
-import freqtrade.misc as misc
-import freqtrade.rpc as rpc
+from freqtrade.rpc.rpc import RPC
+from freqtrade.state import State
+from freqtrade.tests.test_freqtradebot import patch_get_signal, patch_coinmarketcap
 
 
-def prec_satoshi(a, b):
+# Functions for recurrent object patching
+def prec_satoshi(a, b) -> float:
     """
     :return: True if A and B differs less than one satoshi.
     """
     return abs(a - b) < 0.00000001
 
 
-def test_init_telegram_enabled(default_conf, mocker):
-    module_list = []
-    mocker.patch('freqtrade.rpc.REGISTERED_MODULES', module_list)
-    telegram_mock = mocker.patch('freqtrade.rpc.telegram.init', MagicMock())
-
-    init(default_conf)
-
-    assert telegram_mock.call_count == 1
-    assert 'telegram' in module_list
-
-
-def test_init_telegram_disabled(default_conf, mocker):
-    module_list = []
-    mocker.patch('freqtrade.rpc.REGISTERED_MODULES', module_list)
-    telegram_mock = mocker.patch('freqtrade.rpc.telegram.init', MagicMock())
-
-    conf = deepcopy(default_conf)
-    conf['telegram']['enabled'] = False
-    init(conf)
-
-    assert telegram_mock.call_count == 0
-    assert 'telegram' not in module_list
-
-
-def test_cleanup_telegram_enabled(mocker):
-    mocker.patch('freqtrade.rpc.REGISTERED_MODULES', ['telegram'])
-    telegram_mock = mocker.patch('freqtrade.rpc.telegram.cleanup', MagicMock())
-    cleanup()
-    assert telegram_mock.call_count == 1
-
-
-def test_cleanup_telegram_disabled(mocker):
-    mocker.patch('freqtrade.rpc.REGISTERED_MODULES', [])
-    telegram_mock = mocker.patch('freqtrade.rpc.telegram.cleanup', MagicMock())
-    cleanup()
-    assert telegram_mock.call_count == 0
-
-
-def test_send_msg_telegram_enabled(mocker):
-    mocker.patch('freqtrade.rpc.REGISTERED_MODULES', ['telegram'])
-    telegram_mock = mocker.patch('freqtrade.rpc.telegram.send_msg', MagicMock())
-    send_msg('test')
-    assert telegram_mock.call_count == 1
-
-
-def test_send_msg_telegram_disabled(mocker):
-    mocker.patch('freqtrade.rpc.REGISTERED_MODULES', [])
-    telegram_mock = mocker.patch('freqtrade.rpc.telegram.send_msg', MagicMock())
-    send_msg('test')
-    assert telegram_mock.call_count == 0
-
-
-def test_rpc_forcesell(default_conf, update, ticker, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.rpc.telegram',
-                          _CONF=default_conf,
-                          init=MagicMock())
-    cancel_order_mock = MagicMock()
-    mocker.patch.multiple('freqtrade.main.exchange',
+# Unit tests
+def test_rpc_trade_status(default_conf, ticker, mocker) -> None:
+    """
+    Test rpc_trade_status() method
+    """
+    patch_get_signal(mocker, (True, False))
+    patch_coinmarketcap(mocker)
+    mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
         validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          cancel_order=cancel_order_mock,
-                          get_order=MagicMock(return_value={
-                              'closed': True,
-                              'type': 'LIMIT_BUY',
-                          }))
-    main.init(default_conf, create_engine('sqlite://'))
+        get_ticker=ticker
+    )
 
-    misc.update_state(misc.State.STOPPED)
-    (error, res) = rpc.rpc_forcesell(None)
-    assert error
-    assert res == '`trader is not running`'
-    misc.update_state(misc.State.RUNNING)
-    (error, res) = rpc.rpc_forcesell(None)
-    assert error
-    assert res == 'Invalid argument.'
+    freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
+    rpc = RPC(freqtradebot)
 
-    (error, res) = rpc.rpc_forcesell('all')
-    assert not error
-    assert res == ''
-
-    main.create_trade(0.001, 5)
-    (error, res) = rpc.rpc_forcesell('all')
-    assert not error
-    assert res == ''
-
-    (error, res) = rpc.rpc_forcesell('1')
-    assert not error
-    assert res == ''
-
-    misc.update_state(misc.State.STOPPED)
-
-    (error, res) = rpc.rpc_forcesell(None)
-    assert error
-    assert res == '`trader is not running`'
-
-    (error, res) = rpc.rpc_forcesell('all')
-    assert error
-    assert res == '`trader is not running`'
-
-    misc.update_state(misc.State.RUNNING)
-
-    assert cancel_order_mock.call_count == 0
-    # make an limit-buy open trade
-    mocker.patch.multiple('freqtrade.exchange',
-                          get_order=MagicMock(return_value={
-                              'closed': None,
-                              'type': 'LIMIT_BUY'
-                          }))
-    # check that the trade is called, which is done
-    # by ensuring exchange.cancel_order is called
-    (error, res) = rpc.rpc_forcesell('1')
-    assert not error
-    assert res == ''
-    assert cancel_order_mock.call_count == 1
-
-    main.create_trade(0.001, 5)
-    # make an limit-sell open trade
-    mocker.patch.multiple('freqtrade.exchange',
-                          get_order=MagicMock(return_value={
-                              'closed': None,
-                              'type': 'LIMIT_SELL'
-                          }))
-    (error, res) = rpc.rpc_forcesell('2')
-    assert not error
-    assert res == ''
-    # status quo, no exchange calls
-    assert cancel_order_mock.call_count == 1
-
-
-def test_rpc_trade_status(default_conf, update, ticker, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.rpc.telegram',
-                          _CONF=default_conf,
-                          init=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker)
-    main.init(default_conf, create_engine('sqlite://'))
-
-    misc.update_state(misc.State.STOPPED)
+    freqtradebot.update_state(State.STOPPED)
     (error, result) = rpc.rpc_trade_status()
     assert error
-    assert result.find('trader is not running') >= 0
+    assert 'trader is not running' in result
 
-    misc.update_state(misc.State.RUNNING)
+    freqtradebot.update_state(State.RUNNING)
     (error, result) = rpc.rpc_trade_status()
     assert error
-    assert result.find('no active trade') >= 0
+    assert 'no active trade' in result
 
-    main.create_trade(0.001, 5)
+    freqtradebot.create_trade()
     (error, result) = rpc.rpc_trade_status()
     assert not error
     trade = result[0]
+
+    result_message = [
+        '*Trade ID:* `1`\n'
+        '*Current Pair:* '
+        '[BTC_ETH](https://www.bittrex.com/Market/Index?MarketName=BTC-ETH)\n'
+        '*Open Since:* `just now`\n'
+        '*Amount:* `90.99181074`\n'
+        '*Open Rate:* `0.00001099`\n'
+        '*Close Rate:* `None`\n'
+        '*Current Rate:* `0.00001098`\n'
+        '*Close Profit:* `None`\n'
+        '*Current Profit:* `-0.59%`\n'
+        '*Open Order:* `(LIMIT_BUY rem=0.00000000)`'
+    ]
+    assert result == result_message
     assert trade.find('[BTC_ETH]') >= 0
 
 
-def test_rpc_daily_profit(default_conf, update, ticker, limit_buy_order, limit_sell_order, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.rpc.telegram',
-                          _CONF=default_conf,
-                          init=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
+def test_rpc_status_table(default_conf, ticker, mocker) -> None:
+    """
+    Test rpc_status_table() method
+    """
+    patch_get_signal(mocker, (True, False))
+    patch_coinmarketcap(mocker)
+    mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
         validate_pairs=MagicMock(),
-                          get_ticker=ticker)
-    mocker.patch.multiple('freqtrade.fiat_convert.Market',
-                          ticker=MagicMock(return_value={'price_usd': 15000.0}))
-    mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
-    main.init(default_conf, create_engine('sqlite://'))
+        get_ticker=ticker
+    )
+
+    freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
+    rpc = RPC(freqtradebot)
+
+    freqtradebot.update_state(State.STOPPED)
+    (error, result) = rpc.rpc_status_table()
+    assert error
+    assert '*Status:* `trader is not running`' in result
+
+    freqtradebot.update_state(State.RUNNING)
+    (error, result) = rpc.rpc_status_table()
+    assert error
+    assert '*Status:* `no active order`' in result
+
+    freqtradebot.create_trade()
+    (error, result) = rpc.rpc_status_table()
+    assert 'just now' in result['Since'].all()
+    assert 'BTC_ETH' in result['Pair'].all()
+    assert '-0.59%' in result['Profit'].all()
+
+
+def test_rpc_daily_profit(default_conf, update, ticker, limit_buy_order, limit_sell_order, mocker)\
+        -> None:
+    """
+    Test rpc_daily_profit() method
+    """
+    patch_get_signal(mocker, (True, False))
+    patch_coinmarketcap(mocker, value={'price_usd': 15000.0})
+    mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
+        validate_pairs=MagicMock(),
+        get_ticker=ticker
+    )
+
+    freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
     stake_currency = default_conf['stake_currency']
     fiat_display_currency = default_conf['fiat_display_currency']
 
+    rpc = RPC(freqtradebot)
+
     # Create some test data
-    main.create_trade(0.001, 5)
+    freqtradebot.create_trade()
     trade = Trade.query.first()
     assert trade
 
@@ -209,8 +139,7 @@ def test_rpc_daily_profit(default_conf, update, ticker, limit_buy_order, limit_s
 
     # Try valid data
     update.message.text = '/daily 2'
-    (error, days) = rpc.rpc_daily_profit(7, stake_currency,
-                                         fiat_display_currency)
+    (error, days) = rpc.rpc_daily_profit(7, stake_currency, fiat_display_currency)
     assert not error
     assert len(days) == 7
     for day in days:
@@ -224,50 +153,56 @@ def test_rpc_daily_profit(default_conf, update, ticker, limit_buy_order, limit_s
     assert str(days[0][0]) == str(datetime.utcnow().date())
 
     # Try invalid data
-    (error, days) = rpc.rpc_daily_profit(0, stake_currency,
-                                         fiat_display_currency)
+    (error, days) = rpc.rpc_daily_profit(0, stake_currency, fiat_display_currency)
     assert error
     assert days.find('must be an integer greater than 0') >= 0
 
 
 def test_rpc_trade_statistics(
-        default_conf, update, ticker, ticker_sell_up, limit_buy_order, limit_sell_order, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.rpc.telegram',
-                          _CONF=default_conf,
-                          init=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker)
-    mocker.patch.multiple('freqtrade.fiat_convert.Market',
-                          ticker=MagicMock(return_value={'price_usd': 15000.0}))
+        default_conf, ticker, ticker_sell_up, limit_buy_order, limit_sell_order, mocker) -> None:
+    """
+    Test rpc_trade_statistics() method
+    """
+    patch_get_signal(mocker, (True, False))
+    mocker.patch.multiple(
+        'freqtrade.fiat_convert.Market',
+        ticker=MagicMock(return_value={'price_usd': 15000.0}),
+    )
     mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
-    main.init(default_conf, create_engine('sqlite://'))
+    mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
+        validate_pairs=MagicMock(),
+        get_ticker=ticker
+    )
+
+    freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
     stake_currency = default_conf['stake_currency']
     fiat_display_currency = default_conf['fiat_display_currency']
 
-    (error, stats) = rpc.rpc_trade_statistics(stake_currency,
-                                              fiat_display_currency)
+    rpc = RPC(freqtradebot)
+
+    (error, stats) = rpc.rpc_trade_statistics(stake_currency, fiat_display_currency)
     assert error
     assert stats.find('no closed trade') >= 0
 
     # Create some test data
-    main.create_trade(0.001, 5)
+    freqtradebot.create_trade()
     trade = Trade.query.first()
     # Simulate fulfilled LIMIT_BUY order for trade
     trade.update(limit_buy_order)
+
     # Update the ticker with a market going up
-    mocker.patch.multiple('freqtrade.main.exchange',
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
         validate_pairs=MagicMock(),
-                          get_ticker=ticker_sell_up)
+        get_ticker=ticker_sell_up
+    )
     trade.update(limit_sell_order)
     trade.close_date = datetime.utcnow()
     trade.is_open = False
 
-    (error, stats) = rpc.rpc_trade_statistics(stake_currency,
-                                              fiat_display_currency)
+    (error, stats) = rpc.rpc_trade_statistics(stake_currency, fiat_display_currency)
     assert not error
     assert prec_satoshi(stats['profit_closed_coin'], 6.217e-05)
     assert prec_satoshi(stats['profit_closed_percent'], 6.2)
@@ -285,33 +220,41 @@ def test_rpc_trade_statistics(
 
 # Test that rpc_trade_statistics can handle trades that lacks
 # trade.open_rate (it is set to None)
-def test_rpc_trade_statistics_closed(
-        default_conf, update, ticker, ticker_sell_up, limit_buy_order, limit_sell_order, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.rpc.telegram',
-                          _CONF=default_conf,
-                          init=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker)
-    mocker.patch.multiple('freqtrade.fiat_convert.Market',
-                          ticker=MagicMock(return_value={'price_usd': 15000.0}))
+def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, ticker_sell_up, limit_buy_order,
+                                     limit_sell_order):
+    """
+    Test rpc_trade_statistics() method
+    """
+    patch_get_signal(mocker, (True, False))
+    mocker.patch.multiple(
+        'freqtrade.fiat_convert.Market',
+        ticker=MagicMock(return_value={'price_usd': 15000.0}),
+    )
     mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
-    main.init(default_conf, create_engine('sqlite://'))
+    mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
+        validate_pairs=MagicMock(),
+        get_ticker=ticker
+    )
+
+    freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
     stake_currency = default_conf['stake_currency']
     fiat_display_currency = default_conf['fiat_display_currency']
 
+    rpc = RPC(freqtradebot)
+
     # Create some test data
-    main.create_trade(0.001, 5)
+    freqtradebot.create_trade()
     trade = Trade.query.first()
     # Simulate fulfilled LIMIT_BUY order for trade
     trade.update(limit_buy_order)
     # Update the ticker with a market going up
-    mocker.patch.multiple('freqtrade.main.exchange',
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
         validate_pairs=MagicMock(),
-                          get_ticker=ticker_sell_up)
+        get_ticker=ticker_sell_up
+    )
     trade.update(limit_sell_order)
     trade.close_date = datetime.utcnow()
     trade.is_open = False
@@ -319,8 +262,7 @@ def test_rpc_trade_statistics_closed(
     for trade in Trade.query.order_by(Trade.id).all():
         trade.open_rate = None
 
-    (error, stats) = rpc.rpc_trade_statistics(stake_currency,
-                                              fiat_display_currency)
+    (error, stats) = rpc.rpc_trade_statistics(stake_currency, fiat_display_currency)
     assert not error
     assert prec_satoshi(stats['profit_closed_coin'], 0)
     assert prec_satoshi(stats['profit_closed_percent'], 0)
@@ -336,57 +278,223 @@ def test_rpc_trade_statistics_closed(
     assert prec_satoshi(stats['best_rate'], 6.2)
 
 
-def test_rpc_balance_handle(default_conf, update, mocker):
-    mock_balance = [{
+def test_rpc_balance_handle(default_conf, mocker):
+    """
+    Test rpc_balance() method
+    """
+    mock_balance = [
+        {
             'Currency': 'BTC',
             'Balance': 10.0,
             'Available': 12.0,
             'Pending': 0.0,
             'CryptoAddress': 'XXXX',
-    }, {
+        },
+        {
             'Currency': 'ETH',
             'Balance': 0.0,
             'Available': 0.0,
             'Pending': 0.0,
             'CryptoAddress': 'XXXX',
-    }]
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          get_balances=MagicMock(return_value=mock_balance))
-    mocker.patch.multiple('freqtrade.fiat_convert.Market',
-                          ticker=MagicMock(return_value={'price_usd': 15000.0}))
+        }
+    ]
+
+    patch_get_signal(mocker, (True, False))
+    mocker.patch.multiple(
+        'freqtrade.fiat_convert.Market',
+        ticker=MagicMock(return_value={'price_usd': 15000.0}),
+    )
+    mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
+    mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
+        validate_pairs=MagicMock(),
+        get_balances=MagicMock(return_value=mock_balance)
+    )
+
+    freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
+    rpc = RPC(freqtradebot)
 
     (error, res) = rpc.rpc_balance(default_conf['fiat_display_currency'])
     assert not error
     (trade, x, y, z) = res
     assert prec_satoshi(x, 10)
     assert prec_satoshi(z, 150000)
-    assert y == 'USD'
+    assert 'USD' in y
     assert len(trade) == 1
-    assert trade[0]['currency'] == 'BTC'
+    assert 'BTC' in trade[0]['currency']
     assert prec_satoshi(trade[0]['available'], 12)
     assert prec_satoshi(trade[0]['balance'], 10)
     assert prec_satoshi(trade[0]['pending'], 0)
     assert prec_satoshi(trade[0]['est_btc'], 10)
 
 
-def test_performance_handle(
-        default_conf, update, ticker, limit_buy_order, limit_sell_order, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    msg_mock = MagicMock()
-    mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.rpc.telegram',
-                          _CONF=default_conf,
-                          init=MagicMock(),
-                          send_msg=msg_mock)
-    mocker.patch.multiple('freqtrade.main.exchange',
+def test_rpc_start(mocker, default_conf) -> None:
+    """
+    Test rpc_start() method
+    """
+    patch_get_signal(mocker, (True, False))
+    patch_coinmarketcap(mocker)
+    mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
         validate_pairs=MagicMock(),
-                          get_ticker=ticker)
-    main.init(default_conf, create_engine('sqlite://'))
+        get_ticker=MagicMock()
+    )
+
+    freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
+    rpc = RPC(freqtradebot)
+    freqtradebot.update_state(State.STOPPED)
+
+    (error, result) = rpc.rpc_start()
+    assert not error
+    assert '`Starting trader ...`' in result
+    assert freqtradebot.get_state() == State.RUNNING
+
+    (error, result) = rpc.rpc_start()
+    assert error
+    assert '*Status:* `already running`' in result
+    assert freqtradebot.get_state() == State.RUNNING
+
+
+def test_rpc_stop(mocker, default_conf) -> None:
+    """
+    Test rpc_stop() method
+    """
+    patch_get_signal(mocker, (True, False))
+    patch_coinmarketcap(mocker)
+    mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
+        validate_pairs=MagicMock(),
+        get_ticker=MagicMock()
+    )
+
+    freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
+    rpc = RPC(freqtradebot)
+    freqtradebot.update_state(State.RUNNING)
+
+    (error, result) = rpc.rpc_stop()
+    assert not error
+    assert '`Stopping trader ...`' in result
+    assert freqtradebot.get_state() == State.STOPPED
+
+    (error, result) = rpc.rpc_stop()
+    assert error
+    assert '*Status:* `already stopped`' in result
+    assert freqtradebot.get_state() == State.STOPPED
+
+
+def test_rpc_forcesell(default_conf, ticker, mocker) -> None:
+    """
+    Test rpc_forcesell() method
+    """
+    patch_get_signal(mocker, (True, False))
+    patch_coinmarketcap(mocker)
+    mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
+
+    cancel_order_mock = MagicMock()
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
+        validate_pairs=MagicMock(),
+        get_ticker=ticker,
+        cancel_order=cancel_order_mock,
+        get_order=MagicMock(
+            return_value={
+                'closed': True,
+                'type': 'LIMIT_BUY',
+            }
+        )
+    )
+
+    freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
+    rpc = RPC(freqtradebot)
+
+    freqtradebot.update_state(State.STOPPED)
+    (error, res) = rpc.rpc_forcesell(None)
+    assert error
+    assert res == '`trader is not running`'
+
+    freqtradebot.update_state(State.RUNNING)
+    (error, res) = rpc.rpc_forcesell(None)
+    assert error
+    assert res == 'Invalid argument.'
+
+    (error, res) = rpc.rpc_forcesell('all')
+    assert not error
+    assert res == ''
+
+    freqtradebot.create_trade()
+    (error, res) = rpc.rpc_forcesell('all')
+    assert not error
+    assert res == ''
+
+    (error, res) = rpc.rpc_forcesell('1')
+    assert not error
+    assert res == ''
+
+    freqtradebot.update_state(State.STOPPED)
+    (error, res) = rpc.rpc_forcesell(None)
+    assert error
+    assert res == '`trader is not running`'
+
+    (error, res) = rpc.rpc_forcesell('all')
+    assert error
+    assert res == '`trader is not running`'
+
+    freqtradebot.update_state(State.RUNNING)
+    assert cancel_order_mock.call_count == 0
+    # make an limit-buy open trade
+    mocker.patch(
+        'freqtrade.freqtradebot.exchange.get_order',
+        return_value={
+            'closed': None,
+            'type': 'LIMIT_BUY'
+        }
+    )
+    # check that the trade is called, which is done
+    # by ensuring exchange.cancel_order is called
+    (error, res) = rpc.rpc_forcesell('1')
+    assert not error
+    assert res == ''
+    assert cancel_order_mock.call_count == 1
+
+    freqtradebot.create_trade()
+    # make an limit-sell open trade
+    mocker.patch(
+        'freqtrade.freqtradebot.exchange.get_order',
+        return_value={
+            'closed': None,
+            'type': 'LIMIT_SELL'
+        }
+    )
+    (error, res) = rpc.rpc_forcesell('2')
+    assert not error
+    assert res == ''
+    # status quo, no exchange calls
+    assert cancel_order_mock.call_count == 1
+
+
+def test_performance_handle(default_conf, ticker, limit_buy_order,
+                            limit_sell_order, mocker) -> None:
+    """
+    Test rpc_performance() method
+    """
+    patch_get_signal(mocker, (True, False))
+    patch_coinmarketcap(mocker)
+    mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
+        validate_pairs=MagicMock(),
+        get_balances=MagicMock(return_value=ticker),
+        get_ticker=ticker
+    )
+
+    freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
+    rpc = RPC(freqtradebot)
 
     # Create some test data
-    main.create_trade(0.001, int(default_conf['ticker_interval']))
+    freqtradebot.create_trade()
     trade = Trade.query.first()
     assert trade
 
@@ -404,3 +512,33 @@ def test_performance_handle(
     assert res[0]['pair'] == 'BTC_ETH'
     assert res[0]['count'] == 1
     assert prec_satoshi(res[0]['profit'], 6.2)
+
+
+def test_rpc_count(mocker, default_conf, ticker) -> None:
+    """
+    Test rpc_count() method
+    """
+    patch_get_signal(mocker, (True, False))
+    patch_coinmarketcap(mocker)
+    mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
+        validate_pairs=MagicMock(),
+        get_balances=MagicMock(return_value=ticker),
+        get_ticker=ticker
+    )
+
+    freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
+    rpc = RPC(freqtradebot)
+
+    (error, trades) = rpc.rpc_count()
+    nb_trades = len(trades)
+    assert not error
+    assert nb_trades == 0
+
+    # Create some test data
+    freqtradebot.create_trade()
+    (error, trades) = rpc.rpc_count()
+    nb_trades = len(trades)
+    assert not error
+    assert nb_trades == 1

freqtrade/tests/rpc/test_rpc_manager.py

@@ -0,0 +1,139 @@
+"""
+Unit test file for rpc/rpc_manager.py
+"""
+
+import logging
+from copy import deepcopy
+from unittest.mock import MagicMock
+
+from freqtrade.rpc.rpc_manager import RPCManager
+from freqtrade.rpc.telegram import Telegram
+from freqtrade.tests.conftest import log_has, get_patched_freqtradebot
+
+
+def test_rpc_manager_object() -> None:
+    """
+    Test the Arguments object has the mandatory methods
+    :return: None
+    """
+    assert hasattr(RPCManager, '_init')
+    assert hasattr(RPCManager, 'send_msg')
+    assert hasattr(RPCManager, 'cleanup')
+
+
+def test__init__(mocker, default_conf) -> None:
+    """
+    Test __init__() method
+    """
+    init_mock = mocker.patch('freqtrade.rpc.rpc_manager.RPCManager._init', MagicMock())
+    freqtradebot = get_patched_freqtradebot(mocker, default_conf)
+
+    rpc_manager = RPCManager(freqtradebot)
+    assert rpc_manager.freqtrade == freqtradebot
+    assert rpc_manager.registered_modules == []
+    assert rpc_manager.telegram is None
+    assert init_mock.call_count == 1
+
+
+def test_init_telegram_disabled(mocker, default_conf, caplog) -> None:
+    """
+    Test _init() method with Telegram disabled
+    """
+    caplog.set_level(logging.DEBUG)
+
+    conf = deepcopy(default_conf)
+    conf['telegram']['enabled'] = False
+
+    freqtradebot = get_patched_freqtradebot(mocker, conf)
+    rpc_manager = RPCManager(freqtradebot)
+
+    assert not log_has('Enabling rpc.telegram ...', caplog.record_tuples)
+    assert rpc_manager.registered_modules == []
+    assert rpc_manager.telegram is None
+
+
+def test_init_telegram_enabled(mocker, default_conf, caplog) -> None:
+    """
+    Test _init() method with Telegram enabled
+    """
+    caplog.set_level(logging.DEBUG)
+    mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
+
+    freqtradebot = get_patched_freqtradebot(mocker, default_conf)
+    rpc_manager = RPCManager(freqtradebot)
+
+    assert log_has('Enabling rpc.telegram ...', caplog.record_tuples)
+    len_modules = len(rpc_manager.registered_modules)
+    assert len_modules == 1
+    assert 'telegram' in rpc_manager.registered_modules
+    assert isinstance(rpc_manager.telegram, Telegram)
+
+
+def test_cleanup_telegram_disabled(mocker, default_conf, caplog) -> None:
+    """
+    Test cleanup() method with Telegram disabled
+    """
+    caplog.set_level(logging.DEBUG)
+    telegram_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.cleanup', MagicMock())
+
+    conf = deepcopy(default_conf)
+    conf['telegram']['enabled'] = False
+
+    freqtradebot = get_patched_freqtradebot(mocker, conf)
+    rpc_manager = RPCManager(freqtradebot)
+    rpc_manager.cleanup()
+
+    assert not log_has('Cleaning up rpc.telegram ...', caplog.record_tuples)
+    assert telegram_mock.call_count == 0
+
+
+def test_cleanup_telegram_enabled(mocker, default_conf, caplog) -> None:
+    """
+    Test cleanup() method with Telegram enabled
+    """
+    caplog.set_level(logging.DEBUG)
+    mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
+    telegram_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.cleanup', MagicMock())
+
+    freqtradebot = get_patched_freqtradebot(mocker, default_conf)
+    rpc_manager = RPCManager(freqtradebot)
+
+    # Check we have Telegram as a registered modules
+    assert 'telegram' in rpc_manager.registered_modules
+
+    rpc_manager.cleanup()
+    assert log_has('Cleaning up rpc.telegram ...', caplog.record_tuples)
+    assert 'telegram' not in rpc_manager.registered_modules
+    assert telegram_mock.call_count == 1
+
+
+def test_send_msg_telegram_disabled(mocker, default_conf, caplog) -> None:
+    """
+    Test send_msg() method with Telegram disabled
+    """
+    telegram_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock())
+
+    conf = deepcopy(default_conf)
+    conf['telegram']['enabled'] = False
+
+    freqtradebot = get_patched_freqtradebot(mocker, conf)
+    rpc_manager = RPCManager(freqtradebot)
+    rpc_manager.send_msg('test')
+
+    assert log_has('test', caplog.record_tuples)
+    assert telegram_mock.call_count == 0
+
+
+def test_send_msg_telegram_enabled(mocker, default_conf, caplog) -> None:
+    """
+    Test send_msg() method with Telegram disabled
+    """
+    telegram_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock())
+    mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
+
+    freqtradebot = get_patched_freqtradebot(mocker, default_conf)
+    rpc_manager = RPCManager(freqtradebot)
+    rpc_manager.send_msg('test')
+
+    assert log_has('test', caplog.record_tuples)
+    assert telegram_mock.call_count == 1

freqtrade/tests/strategy/test_default_strategy.py

@@ -1,14 +1,16 @@
 import json
+
 import pytest
 from pandas import DataFrame
+
+from freqtrade.analyze import Analyze
 from freqtrade.strategy.default_strategy import DefaultStrategy, class_name
-from freqtrade.analyze import parse_ticker_dataframe
 
 
 @pytest.fixture
 def result():
     with open('freqtrade/tests/testdata/BTC_ETH-1.json') as data_file:
-        return parse_ticker_dataframe(json.load(data_file))
+        return Analyze.parse_ticker_dataframe(json.load(data_file))
 
 
 def test_default_strategy_class_name():

freqtrade/tests/strategy/test_strategy.py

@@ -1,6 +1,7 @@
 # pragma pylint: disable=missing-docstring, protected-access, C0103
 
 import logging
+
 from freqtrade.strategy.strategy import Strategy
 
 
@@ -21,7 +22,6 @@ def test_search_strategy():
 
 
 def test_strategy_structure():
-    assert hasattr(Strategy, 'init')
     assert hasattr(Strategy, 'populate_indicators')
     assert hasattr(Strategy, 'populate_buy_trend')
     assert hasattr(Strategy, 'populate_sell_trend')
@@ -53,8 +53,7 @@ def test_load_not_found_strategy(caplog):
 
 
 def test_strategy(result):
-    strategy = Strategy()
-    strategy.init({'strategy': 'default_strategy'})
+    strategy = Strategy({'strategy': 'default_strategy'})
 
     assert hasattr(strategy.custom_strategy, 'minimal_roi')
     assert strategy.minimal_roi[0] == 0.04
@@ -82,8 +81,7 @@ def test_strategy_override_minimal_roi(caplog):
             "0": 0.5
         }
     }
-    strategy = Strategy()
-    strategy.init(config)
+    strategy = Strategy(config)
 
     assert hasattr(strategy.custom_strategy, 'minimal_roi')
     assert strategy.minimal_roi[0] == 0.5
@@ -99,8 +97,7 @@ def test_strategy_override_stoploss(caplog):
         'strategy': 'default_strategy',
         'stoploss': -0.5
     }
-    strategy = Strategy()
-    strategy.init(config)
+    strategy = Strategy(config)
 
     assert hasattr(strategy.custom_strategy, 'stoploss')
     assert strategy.stoploss == -0.5
@@ -117,8 +114,7 @@ def test_strategy_override_ticker_interval(caplog):
         'strategy': 'default_strategy',
         'ticker_interval': 60
     }
-    strategy = Strategy()
-    strategy.init(config)
+    strategy = Strategy(config)
 
     assert hasattr(strategy.custom_strategy, 'ticker_interval')
     assert strategy.ticker_interval == 60
@@ -138,8 +134,7 @@ def test_strategy_fallback_default_strategy():
 
 
 def test_strategy_singleton():
-    strategy1 = Strategy()
-    strategy1.init({'strategy': 'default_strategy'})
+    strategy1 = Strategy({'strategy': 'default_strategy'})
 
     assert hasattr(strategy1.custom_strategy, 'minimal_roi')
     assert strategy1.minimal_roi[0] == 0.04

freqtrade/tests/test_acl_pair.py

@@ -1,6 +1,6 @@
-# pragma pylint: disable=missing-docstring,C0103
+# pragma pylint: disable=missing-docstring,C0103,protected-access
 
-from freqtrade.main import refresh_whitelist, gen_pair_whitelist
+import freqtrade.tests.conftest as tt  # test tools
 
 # whitelist, blacklist, filtering, all of that will
 # eventually become some rules to run on a generic ACL engine
@@ -8,21 +8,22 @@ from freqtrade.main import refresh_whitelist, gen_pair_whitelist
 
 
 def whitelist_conf():
-    return {
-        'stake_currency': 'BTC',
-        'exchange': {
-            'pair_whitelist': [
+    config = tt.default_conf()
+
+    config['stake_currency'] = 'BTC'
+    config['exchange']['pair_whitelist'] = [
         'BTC_ETH',
         'BTC_TKN',
         'BTC_TRST',
         'BTC_SWT',
         'BTC_BCC'
-            ],
-            'pair_blacklist': [
+    ]
+
+    config['exchange']['pair_blacklist'] = [
         'BTC_BLK'
-            ],
-        },
-    }
+    ]
+
+    return config
 
 
 def get_market_summaries():
@@ -86,11 +87,13 @@ def get_health_empty():
 
 def test_refresh_market_pair_not_in_whitelist(mocker):
     conf = whitelist_conf()
-    mocker.patch.dict('freqtrade.main._CONF', conf)
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          get_wallet_health=get_health)
-    refreshedwhitelist = refresh_whitelist(
-        conf['exchange']['pair_whitelist'] + ['BTC_XXX'])
+
+    freqtradebot = tt.get_patched_freqtradebot(mocker, conf)
+
+    mocker.patch('freqtrade.freqtradebot.exchange.get_wallet_health', get_health)
+    refreshedwhitelist = freqtradebot._refresh_whitelist(
+        conf['exchange']['pair_whitelist'] + ['BTC_XXX']
+    )
     # List ordered by BaseVolume
     whitelist = ['BTC_ETH', 'BTC_TKN']
     # Ensure all except those in whitelist are removed
@@ -99,10 +102,11 @@ def test_refresh_market_pair_not_in_whitelist(mocker):
 
 def test_refresh_whitelist(mocker):
     conf = whitelist_conf()
-    mocker.patch.dict('freqtrade.main._CONF', conf)
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          get_wallet_health=get_health)
-    refreshedwhitelist = refresh_whitelist(conf['exchange']['pair_whitelist'])
+    freqtradebot = tt.get_patched_freqtradebot(mocker, conf)
+
+    mocker.patch('freqtrade.freqtradebot.exchange.get_wallet_health', get_health)
+    refreshedwhitelist = freqtradebot._refresh_whitelist(conf['exchange']['pair_whitelist'])
+
     # List ordered by BaseVolume
     whitelist = ['BTC_ETH', 'BTC_TKN']
     # Ensure all except those in whitelist are removed
@@ -111,26 +115,32 @@ def test_refresh_whitelist(mocker):
 
 def test_refresh_whitelist_dynamic(mocker):
     conf = whitelist_conf()
-    mocker.patch.dict('freqtrade.main._CONF', conf)
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          get_wallet_health=get_health)
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          get_market_summaries=get_market_summaries)
+    freqtradebot = tt.get_patched_freqtradebot(mocker, conf)
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.exchange',
+        get_wallet_health=get_health,
+        get_market_summaries=get_market_summaries
+    )
+
     # argument: use the whitelist dynamically by exchange-volume
     whitelist = ['BTC_TKN', 'BTC_ETH']
-    refreshedwhitelist = refresh_whitelist(
-        gen_pair_whitelist(conf['stake_currency']))
+
+    refreshedwhitelist = freqtradebot._refresh_whitelist(
+        freqtradebot._gen_pair_whitelist(conf['stake_currency'])
+    )
+
     assert whitelist == refreshedwhitelist
 
 
 def test_refresh_whitelist_dynamic_empty(mocker):
     conf = whitelist_conf()
-    mocker.patch.dict('freqtrade.main._CONF', conf)
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          get_wallet_health=get_health_empty)
+    freqtradebot = tt.get_patched_freqtradebot(mocker, conf)
+    mocker.patch('freqtrade.freqtradebot.exchange.get_wallet_health', get_health_empty)
+
     # argument: use the whitelist dynamically by exchange-volume
     whitelist = []
     conf['exchange']['pair_whitelist'] = []
-    refresh_whitelist(whitelist)
+    freqtradebot._refresh_whitelist(whitelist)
     pairslist = conf['exchange']['pair_whitelist']
+
     assert set(whitelist) == set(pairslist)

freqtrade/tests/test_analyze.py

@@ -1,16 +1,51 @@
 # pragma pylint: disable=missing-docstring, C0103
+
+"""
+Unit test file for analyse.py
+"""
+
 import datetime
+import logging
 from unittest.mock import MagicMock
 
 import arrow
-import logging
 from pandas import DataFrame
 
+from freqtrade.analyze import Analyze, SignalType
+from freqtrade.optimize.__init__ import load_tickerdata_file
 from freqtrade.tests.conftest import log_has
-from freqtrade.analyze import (get_signal, parse_ticker_dataframe,
-                               populate_buy_trend, populate_indicators,
-                               populate_sell_trend)
-from freqtrade.strategy.strategy import Strategy
+
+# Avoid to reinit the same object again and again
+_ANALYZE = Analyze({'strategy': 'default_strategy'})
+
+
+def test_signaltype_object() -> None:
+    """
+    Test the SignalType object has the mandatory Constants
+    :return: None
+    """
+    assert hasattr(SignalType, 'BUY')
+    assert hasattr(SignalType, 'SELL')
+
+
+def test_analyze_object() -> None:
+    """
+    Test the Analyze object has the mandatory methods
+    :return: None
+    """
+    assert hasattr(Analyze, 'parse_ticker_dataframe')
+    assert hasattr(Analyze, 'populate_indicators')
+    assert hasattr(Analyze, 'populate_buy_trend')
+    assert hasattr(Analyze, 'populate_sell_trend')
+    assert hasattr(Analyze, 'analyze_ticker')
+    assert hasattr(Analyze, 'get_signal')
+    assert hasattr(Analyze, 'should_sell')
+    assert hasattr(Analyze, 'min_roi_reached')
+
+
+def test_dataframe_correct_length(result):
+    dataframe = Analyze.parse_ticker_dataframe(result)
+    assert len(result.index) == len(dataframe.index)
 
 
 def test_dataframe_correct_columns(result):
@@ -18,78 +53,88 @@ def test_dataframe_correct_columns(result):
         ['close', 'high', 'low', 'open', 'date', 'volume']
 
 
-def test_dataframe_correct_length(result):
-    dataframe = parse_ticker_dataframe(result)
-    assert len(result.index) == len(dataframe.index)
-
-
 def test_populates_buy_trend(result):
     # Load the default strategy for the unit test, because this logic is done in main.py
-    Strategy().init({'strategy': 'default_strategy'})
-
-    dataframe = populate_buy_trend(populate_indicators(result))
+    dataframe = _ANALYZE.populate_buy_trend(_ANALYZE.populate_indicators(result))
     assert 'buy' in dataframe.columns
 
 
 def test_populates_sell_trend(result):
     # Load the default strategy for the unit test, because this logic is done in main.py
-    Strategy().init({'strategy': 'default_strategy'})
-
-    dataframe = populate_sell_trend(populate_indicators(result))
+    dataframe = _ANALYZE.populate_sell_trend(_ANALYZE.populate_indicators(result))
     assert 'sell' in dataframe.columns
 
 
 def test_returns_latest_buy_signal(mocker):
     mocker.patch('freqtrade.analyze.get_ticker_history', return_value=MagicMock())
-    mocker.patch(
-        'freqtrade.analyze.analyze_ticker',
+
+    mocker.patch.multiple(
+        'freqtrade.analyze.Analyze',
+        analyze_ticker=MagicMock(
             return_value=DataFrame([{'buy': 1, 'sell': 0, 'date': arrow.utcnow()}])
         )
-    assert get_signal('BTC-ETH', 5) == (True, False)
+    )
+    assert _ANALYZE.get_signal('BTC-ETH', 5) == (True, False)
 
-    mocker.patch(
-        'freqtrade.analyze.analyze_ticker',
+    mocker.patch.multiple(
+        'freqtrade.analyze.Analyze',
+        analyze_ticker=MagicMock(
             return_value=DataFrame([{'buy': 0, 'sell': 1, 'date': arrow.utcnow()}])
         )
-    assert get_signal('BTC-ETH', 5) == (False, True)
+    )
+    assert _ANALYZE.get_signal('BTC-ETH', 5) == (False, True)
 
 
 def test_returns_latest_sell_signal(mocker):
     mocker.patch('freqtrade.analyze.get_ticker_history', return_value=MagicMock())
-    mocker.patch(
-        'freqtrade.analyze.analyze_ticker',
+    mocker.patch.multiple(
+        'freqtrade.analyze.Analyze',
+        analyze_ticker=MagicMock(
             return_value=DataFrame([{'sell': 1, 'buy': 0, 'date': arrow.utcnow()}])
         )
-    assert get_signal('BTC-ETH', 5) == (False, True)
+    )
 
-    mocker.patch(
-        'freqtrade.analyze.analyze_ticker',
+    assert _ANALYZE.get_signal('BTC-ETH', 5) == (False, True)
+
+    mocker.patch.multiple(
+        'freqtrade.analyze.Analyze',
+        analyze_ticker=MagicMock(
             return_value=DataFrame([{'sell': 0, 'buy': 1, 'date': arrow.utcnow()}])
         )
-    assert get_signal('BTC-ETH', 5) == (True, False)
+    )
+    assert _ANALYZE.get_signal('BTC-ETH', 5) == (True, False)
 
 
 def test_get_signal_empty(default_conf, mocker, caplog):
     caplog.set_level(logging.INFO)
     mocker.patch('freqtrade.analyze.get_ticker_history', return_value=None)
-    assert (False, False) == get_signal('foo', int(default_conf['ticker_interval']))
+    assert (False, False) == _ANALYZE.get_signal('foo', int(default_conf['ticker_interval']))
     assert log_has('Empty ticker history for pair foo', caplog.record_tuples)
 
 
 def test_get_signal_exception_valueerror(default_conf, mocker, caplog):
     caplog.set_level(logging.INFO)
     mocker.patch('freqtrade.analyze.get_ticker_history', return_value=1)
-    mocker.patch('freqtrade.analyze.analyze_ticker',
-                 side_effect=ValueError('xyz'))
-    assert (False, False) == get_signal('foo', int(default_conf['ticker_interval']))
+    mocker.patch.multiple(
+        'freqtrade.analyze.Analyze',
+        analyze_ticker=MagicMock(
+            side_effect=ValueError('xyz')
+        )
+    )
+    assert (False, False) == _ANALYZE.get_signal('foo', int(default_conf['ticker_interval']))
     assert log_has('Unable to analyze ticker for pair foo: xyz', caplog.record_tuples)
 
 
 def test_get_signal_empty_dataframe(default_conf, mocker, caplog):
     caplog.set_level(logging.INFO)
     mocker.patch('freqtrade.analyze.get_ticker_history', return_value=1)
-    mocker.patch('freqtrade.analyze.analyze_ticker', return_value=DataFrame([]))
-    assert (False, False) == get_signal('xyz', int(default_conf['ticker_interval']))
+    mocker.patch.multiple(
+        'freqtrade.analyze.Analyze',
+        analyze_ticker=MagicMock(
+            return_value=DataFrame([])
+        )
+    )
+    assert (False, False) == _ANALYZE.get_signal('xyz', int(default_conf['ticker_interval']))
     assert log_has('Empty dataframe for pair xyz', caplog.record_tuples)
 
 
@@ -99,27 +144,51 @@ def test_get_signal_old_dataframe(default_conf, mocker, caplog):
     # FIX: The get_signal function has hardcoded 10, which we must inturn hardcode
     oldtime = arrow.utcnow() - datetime.timedelta(minutes=11)
     ticks = DataFrame([{'buy': 1, 'date': oldtime}])
-    mocker.patch('freqtrade.analyze.analyze_ticker', return_value=DataFrame(ticks))
-    assert (False, False) == get_signal('xyz', int(default_conf['ticker_interval']))
-    assert log_has('Outdated history for pair xyz. Last tick is 11 minutes old',
-                   caplog.record_tuples)
+    mocker.patch.multiple(
+        'freqtrade.analyze.Analyze',
+        analyze_ticker=MagicMock(
+            return_value=DataFrame(ticks)
+        )
+    )
+    assert (False, False) == _ANALYZE.get_signal('xyz', int(default_conf['ticker_interval']))
+    assert log_has(
+        'Outdated history for pair xyz. Last tick is 11 minutes old',
+        caplog.record_tuples
+    )
 
 
 def test_get_signal_handles_exceptions(mocker):
     mocker.patch('freqtrade.analyze.get_ticker_history', return_value=MagicMock())
-    mocker.patch('freqtrade.analyze.analyze_ticker',
-                 side_effect=Exception('invalid ticker history '))
+    mocker.patch.multiple(
+        'freqtrade.analyze.Analyze',
+        analyze_ticker=MagicMock(
+            side_effect=Exception('invalid ticker history ')
+        )
+    )
 
-    assert get_signal('BTC-ETH', 5) == (False, False)
+    assert _ANALYZE.get_signal('BTC-ETH', 5) == (False, False)
 
 
 def test_parse_ticker_dataframe(ticker_history, ticker_history_without_bv):
     columns = ['close', 'high', 'low', 'open', 'date', 'volume']
 
     # Test file with BV data
-    dataframe = parse_ticker_dataframe(ticker_history)
+    dataframe = Analyze.parse_ticker_dataframe(ticker_history)
     assert dataframe.columns.tolist() == columns
 
     # Test file without BV data
-    dataframe = parse_ticker_dataframe(ticker_history_without_bv)
+    dataframe = Analyze.parse_ticker_dataframe(ticker_history_without_bv)
     assert dataframe.columns.tolist() == columns
+
+
+def test_tickerdata_to_dataframe(default_conf) -> None:
+    """
+    Test Analyze.tickerdata_to_dataframe() method
+    """
+    analyze = Analyze(default_conf)
+
+    timerange = ((None, 'line'), None, -100)
+    tick = load_tickerdata_file(None, 'BTC_UNITEST', 1, timerange=timerange)
+    tickerlist = {'BTC_UNITEST': tick}
+    data = analyze.tickerdata_to_dataframe(tickerlist)
+    assert len(data['BTC_UNITEST']) == 100

freqtrade/tests/test_arguments.py

@@ -0,0 +1,134 @@
+# pragma pylint: disable=missing-docstring, C0103
+
+"""
+Unit test file for arguments.py
+"""
+
+import argparse
+import logging
+
+import pytest
+
+from freqtrade.arguments import Arguments
+
+
+def test_arguments_object() -> None:
+    """
+    Test the Arguments object has the mandatory methods
+    :return: None
+    """
+    assert hasattr(Arguments, 'get_parsed_arg')
+    assert hasattr(Arguments, 'parse_args')
+    assert hasattr(Arguments, 'parse_timerange')
+    assert hasattr(Arguments, 'scripts_options')
+
+
+# Parse common command-line-arguments. Used for all tools
+def test_parse_args_none() -> None:
+    arguments = Arguments([], '')
+    assert isinstance(arguments, Arguments)
+    assert isinstance(arguments.parser, argparse.ArgumentParser)
+    assert isinstance(arguments.parser, argparse.ArgumentParser)
+
+
+def test_parse_args_defaults() -> None:
+    args = Arguments([], '').get_parsed_arg()
+    assert args.config == 'config.json'
+    assert args.dynamic_whitelist is None
+    assert args.loglevel == logging.INFO
+
+
+def test_parse_args_config() -> None:
+    args = Arguments(['-c', '/dev/null'], '').get_parsed_arg()
+    assert args.config == '/dev/null'
+
+    args = Arguments(['--config', '/dev/null'], '').get_parsed_arg()
+    assert args.config == '/dev/null'
+
+
+def test_parse_args_verbose() -> None:
+    args = Arguments(['-v'], '').get_parsed_arg()
+    assert args.loglevel == logging.DEBUG
+
+    args = Arguments(['--verbose'], '').get_parsed_arg()
+    assert args.loglevel == logging.DEBUG
+
+
+def test_scripts_options() -> None:
+    arguments = Arguments(['-p', 'BTC_ETH'], '')
+    arguments.scripts_options()
+    args = arguments.get_parsed_arg()
+    assert args.pair == 'BTC_ETH'
+
+
+def test_parse_args_version() -> None:
+    with pytest.raises(SystemExit, match=r'0'):
+        Arguments(['--version'], '').get_parsed_arg()
+
+
+def test_parse_args_invalid() -> None:
+    with pytest.raises(SystemExit, match=r'2'):
+        Arguments(['-c'], '').get_parsed_arg()
+
+
+def test_parse_args_dynamic_whitelist() -> None:
+    args = Arguments(['--dynamic-whitelist'], '').get_parsed_arg()
+    assert args.dynamic_whitelist == 20
+
+
+def test_parse_args_dynamic_whitelist_10() -> None:
+    args = Arguments(['--dynamic-whitelist', '10'], '').get_parsed_arg()
+    assert args.dynamic_whitelist == 10
+
+
+def test_parse_args_dynamic_whitelist_invalid_values() -> None:
+    with pytest.raises(SystemExit, match=r'2'):
+        Arguments(['--dynamic-whitelist', 'abc'], '').get_parsed_arg()
+
+
+def test_parse_timerange_incorrect() -> None:
+    assert ((None, 'line'), None, -200) == Arguments.parse_timerange('-200')
+    assert (('line', None), 200, None) == Arguments.parse_timerange('200-')
+    with pytest.raises(Exception, match=r'Incorrect syntax.*'):
+        Arguments.parse_timerange('-')
+
+
+def test_parse_args_backtesting_invalid() -> None:
+    with pytest.raises(SystemExit, match=r'2'):
+        Arguments(['backtesting --ticker-interval'], '').get_parsed_arg()
+
+    with pytest.raises(SystemExit, match=r'2'):
+        Arguments(['backtesting --ticker-interval', 'abc'], '').get_parsed_arg()
+
+
+def test_parse_args_backtesting_custom() -> None:
+    args = [
+        '-c', 'test_conf.json',
+        'backtesting',
+        '--live',
+        '--ticker-interval', '1',
+        '--refresh-pairs-cached']
+    call_args = Arguments(args, '').get_parsed_arg()
+    assert call_args.config == 'test_conf.json'
+    assert call_args.live is True
+    assert call_args.loglevel == logging.INFO
+    assert call_args.subparser == 'backtesting'
+    assert call_args.func is not None
+    assert call_args.ticker_interval == 1
+    assert call_args.refresh_pairs is True
+
+
+def test_parse_args_hyperopt_custom() -> None:
+    args = [
+        '-c', 'test_conf.json',
+        'hyperopt',
+        '--epochs', '20',
+        '--spaces', 'buy'
+    ]
+    call_args = Arguments(args, '').get_parsed_arg()
+    assert call_args.config == 'test_conf.json'
+    assert call_args.epochs == 20
+    assert call_args.loglevel == logging.INFO
+    assert call_args.subparser == 'hyperopt'
+    assert call_args.spaces == ['buy']
+    assert call_args.func is not None

freqtrade/tests/test_configuration.py

@@ -0,0 +1,316 @@
+# pragma pylint: disable=protected-access, invalid-name
+
+"""
+Unit test file for configuration.py
+"""
+import json
+from copy import deepcopy
+from unittest.mock import MagicMock
+
+import pytest
+from jsonschema import ValidationError
+
+from freqtrade.arguments import Arguments
+from freqtrade.configuration import Configuration
+from freqtrade.tests.conftest import log_has
+
+
+def test_configuration_object() -> None:
+    """
+    Test the Constants object has the mandatory Constants
+    """
+    assert hasattr(Configuration, 'load_config')
+    assert hasattr(Configuration, '_load_config_file')
+    assert hasattr(Configuration, '_validate_config')
+    assert hasattr(Configuration, '_load_common_config')
+    assert hasattr(Configuration, '_load_backtesting_config')
+    assert hasattr(Configuration, '_load_hyperopt_config')
+    assert hasattr(Configuration, 'get_config')
+
+
+def test_load_config_invalid_pair(default_conf, mocker) -> None:
+    """
+    Test the configuration validator with an invalid PAIR format
+    """
+    conf = deepcopy(default_conf)
+    conf['exchange']['pair_whitelist'].append('BTC-ETH')
+
+    with pytest.raises(ValidationError, match=r'.*does not match.*'):
+        configuration = Configuration([])
+        configuration._validate_config(conf)
+
+
+def test_load_config_missing_attributes(default_conf, mocker) -> None:
+    """
+    Test the configuration validator with a missing attribute
+    """
+    conf = deepcopy(default_conf)
+    conf.pop('exchange')
+
+    with pytest.raises(ValidationError, match=r'.*\'exchange\' is a required property.*'):
+        configuration = Configuration([])
+        configuration._validate_config(conf)
+
+
+def test_load_config_file(default_conf, mocker, caplog) -> None:
+    """
+    Test Configuration._load_config_file() method
+    """
+    file_mock = mocker.patch('freqtrade.configuration.open', mocker.mock_open(
+        read_data=json.dumps(default_conf)
+    ))
+
+    configuration = Configuration([])
+    validated_conf = configuration._load_config_file('somefile')
+    assert file_mock.call_count == 1
+    assert validated_conf.items() >= default_conf.items()
+    assert 'internals' in validated_conf
+    assert log_has('Validating configuration ...', caplog.record_tuples)
+
+
+def test_load_config_file_exception(mocker, caplog) -> None:
+    """
+    Test Configuration._load_config_file() method
+    """
+    mocker.patch(
+        'freqtrade.configuration.open',
+        MagicMock(side_effect=FileNotFoundError('File not found'))
+    )
+    configuration = Configuration([])
+
+    with pytest.raises(SystemExit):
+        configuration._load_config_file('somefile')
+    assert log_has(
+        'Config file "somefile" not found. Please create your config file',
+        caplog.record_tuples
+    )
+
+
+def test_load_config(default_conf, mocker) -> None:
+    """
+    Test Configuration.load_config() without any cli params
+    """
+    mocker.patch('freqtrade.configuration.open', mocker.mock_open(
+        read_data=json.dumps(default_conf)
+    ))
+
+    args = Arguments([], '').get_parsed_arg()
+    configuration = Configuration(args)
+    validated_conf = configuration.load_config()
+
+    assert 'strategy' in validated_conf
+    assert validated_conf['strategy'] == 'default_strategy'
+    assert 'dynamic_whitelist' not in validated_conf
+    assert 'dry_run_db' not in validated_conf
+
+
+def test_load_config_with_params(default_conf, mocker) -> None:
+    """
+    Test Configuration.load_config() with cli params used
+    """
+    mocker.patch('freqtrade.configuration.open', mocker.mock_open(
+        read_data=json.dumps(default_conf)
+    ))
+
+    args = [
+        '--dynamic-whitelist', '10',
+        '--strategy', 'test_strategy',
+        '--dry-run-db'
+    ]
+    args = Arguments(args, '').get_parsed_arg()
+
+    configuration = Configuration(args)
+    validated_conf = configuration.load_config()
+
+    assert 'dynamic_whitelist' in validated_conf
+    assert validated_conf['dynamic_whitelist'] == 10
+    assert 'strategy' in validated_conf
+    assert validated_conf['strategy'] == 'test_strategy'
+    assert 'dry_run_db' in validated_conf
+    assert validated_conf['dry_run_db'] is True
+
+
+def test_show_info(default_conf, mocker, caplog) -> None:
+    """
+    Test Configuration.show_info()
+    """
+    mocker.patch('freqtrade.configuration.open', mocker.mock_open(
+        read_data=json.dumps(default_conf)
+    ))
+
+    args = [
+        '--dynamic-whitelist', '10',
+        '--strategy', 'test_strategy',
+        '--dry-run-db'
+    ]
+    args = Arguments(args, '').get_parsed_arg()
+
+    configuration = Configuration(args)
+    configuration.get_config()
+
+    assert log_has(
+        'Parameter --dynamic-whitelist detected. '
+        'Using dynamically generated whitelist. '
+        '(not applicable with Backtesting and Hyperopt)',
+        caplog.record_tuples
+    )
+
+    assert log_has(
+        'Parameter --dry-run-db detected ...',
+        caplog.record_tuples
+    )
+
+    assert log_has(
+        'Dry_run will use the DB file: "tradesv3.dry_run.sqlite"',
+        caplog.record_tuples
+    )
+
+    # Test the Dry run condition
+    configuration.config.update({'dry_run': False})
+    configuration._load_common_config(configuration.config)
+    assert log_has(
+        'Dry run is disabled. (--dry_run_db ignored)',
+        caplog.record_tuples
+    )
+
+
+def test_setup_configuration_without_arguments(mocker, default_conf, caplog) -> None:
+    """
+    Test setup_configuration() function
+    """
+    mocker.patch('freqtrade.configuration.open', mocker.mock_open(
+        read_data=json.dumps(default_conf)
+    ))
+
+    args = [
+        '--config', 'config.json',
+        '--strategy', 'default_strategy',
+        'backtesting'
+    ]
+
+    args = Arguments(args, '').get_parsed_arg()
+
+    configuration = Configuration(args)
+    config = configuration.get_config()
+    assert 'max_open_trades' in config
+    assert 'stake_currency' in config
+    assert 'stake_amount' in config
+    assert 'exchange' in config
+    assert 'pair_whitelist' in config['exchange']
+    assert 'datadir' in config
+    assert log_has(
+        'Parameter --datadir detected: {} ...'.format(config['datadir']),
+        caplog.record_tuples
+    )
+    assert 'ticker_interval' in config
+    assert not log_has('Parameter -i/--ticker-interval detected ...', caplog.record_tuples)
+
+    assert 'live' not in config
+    assert not log_has('Parameter -l/--live detected ...', caplog.record_tuples)
+
+    assert 'realistic_simulation' not in config
+    assert not log_has('Parameter --realistic-simulation detected ...', caplog.record_tuples)
+
+    assert 'refresh_pairs' not in config
+    assert not log_has('Parameter -r/--refresh-pairs-cached detected ...', caplog.record_tuples)
+
+    assert 'timerange' not in config
+    assert 'export' not in config
+
+
+def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> None:
+    """
+    Test setup_configuration() function
+    """
+    mocker.patch('freqtrade.configuration.open', mocker.mock_open(
+        read_data=json.dumps(default_conf)
+    ))
+
+    args = [
+        '--config', 'config.json',
+        '--strategy', 'default_strategy',
+        '--datadir', '/foo/bar',
+        'backtesting',
+        '--ticker-interval', '1',
+        '--live',
+        '--realistic-simulation',
+        '--refresh-pairs-cached',
+        '--timerange', ':100',
+        '--export', '/bar/foo'
+    ]
+
+    args = Arguments(args, '').get_parsed_arg()
+
+    configuration = Configuration(args)
+    config = configuration.get_config()
+    assert 'max_open_trades' in config
+    assert 'stake_currency' in config
+    assert 'stake_amount' in config
+    assert 'exchange' in config
+    assert 'pair_whitelist' in config['exchange']
+    assert 'datadir' in config
+    assert log_has(
+        'Parameter --datadir detected: {} ...'.format(config['datadir']),
+        caplog.record_tuples
+    )
+    assert 'ticker_interval' in config
+    assert log_has('Parameter -i/--ticker-interval detected ...', caplog.record_tuples)
+    assert log_has(
+        'Using ticker_interval: 1 ...',
+        caplog.record_tuples
+    )
+
+    assert 'live' in config
+    assert log_has('Parameter -l/--live detected ...', caplog.record_tuples)
+
+    assert 'realistic_simulation'in config
+    assert log_has('Parameter --realistic-simulation detected ...', caplog.record_tuples)
+    assert log_has('Using max_open_trades: 1 ...', caplog.record_tuples)
+
+    assert 'refresh_pairs'in config
+    assert log_has('Parameter -r/--refresh-pairs-cached detected ...', caplog.record_tuples)
+    assert 'timerange' in config
+    assert log_has(
+        'Parameter --timerange detected: {} ...'.format(config['timerange']),
+        caplog.record_tuples
+    )
+
+    assert 'export' in config
+    assert log_has(
+        'Parameter --export detected: {} ...'.format(config['export']),
+        caplog.record_tuples
+    )
+
+
+def test_hyperopt_with_arguments(mocker, default_conf, caplog) -> None:
+    """
+    Test setup_configuration() function
+    """
+    mocker.patch('freqtrade.configuration.open', mocker.mock_open(
+        read_data=json.dumps(default_conf)
+    ))
+
+    args = [
+        'hyperopt',
+        '--epochs', '10',
+        '--use-mongodb',
+        '--spaces', 'all',
+    ]
+
+    args = Arguments(args, '').get_parsed_arg()
+
+    configuration = Configuration(args)
+    config = configuration.get_config()
+
+    assert 'epochs' in config
+    assert int(config['epochs']) == 10
+    assert log_has('Parameter --epochs detected ...', caplog.record_tuples)
+    assert log_has('Will run Hyperopt with for 10 epochs ...', caplog.record_tuples)
+
+    assert 'mongodb' in config
+    assert config['mongodb'] is True
+    assert log_has('Parameter --use-mongodb detected ...', caplog.record_tuples)
+
+    assert 'spaces' in config
+    assert config['spaces'] == ['all']
+    assert log_has('Parameter -s/--spaces detected: [\'all\']', caplog.record_tuples)

freqtrade/tests/test_constants.py

@@ -0,0 +1,26 @@
+"""
+Unit test file for constants.py
+"""
+
+from freqtrade.constants import Constants
+
+
+def test_constant_object() -> None:
+    """
+    Test the Constants object has the mandatory Constants
+    """
+    assert hasattr(Constants, 'CONF_SCHEMA')
+    assert hasattr(Constants, 'DYNAMIC_WHITELIST')
+    assert hasattr(Constants, 'PROCESS_THROTTLE_SECS')
+    assert hasattr(Constants, 'TICKER_INTERVAL')
+    assert hasattr(Constants, 'HYPEROPT_EPOCH')
+    assert hasattr(Constants, 'RETRY_TIMEOUT')
+    assert hasattr(Constants, 'DEFAULT_STRATEGY')
+
+
+def test_conf_schema() -> None:
+    """
+    Test the CONF_SCHEMA is from the right type
+    """
+    constant = Constants()
+    assert isinstance(constant.CONF_SCHEMA, dict)

freqtrade/tests/test_dataframe.py

@@ -1,30 +1,33 @@
 # pragma pylint: disable=missing-docstring, C0103
 
 import pandas
-import freqtrade.optimize
-from freqtrade import analyze
+
+from freqtrade.analyze import Analyze
+from freqtrade.optimize import load_data
 from freqtrade.strategy.strategy import Strategy
 
 _pairs = ['BTC_ETH']
 
 
 def load_dataframe_pair(pairs):
-    ld = freqtrade.optimize.load_data(None, ticker_interval=5, pairs=pairs)
+    ld = load_data(None, ticker_interval=5, pairs=pairs)
     assert isinstance(ld, dict)
     assert isinstance(pairs[0], str)
     dataframe = ld[pairs[0]]
+
+    analyze = Analyze({'strategy': 'default_strategy'})
     dataframe = analyze.analyze_ticker(dataframe)
     return dataframe
 
 
 def test_dataframe_load():
-    Strategy().init({'strategy': 'default_strategy'})
+    Strategy({'strategy': 'default_strategy'})
     dataframe = load_dataframe_pair(_pairs)
     assert isinstance(dataframe, pandas.core.frame.DataFrame)
 
 
 def test_dataframe_columns_exists():
-    Strategy().init({'strategy': 'default_strategy'})
+    Strategy({'strategy': 'default_strategy'})
     dataframe = load_dataframe_pair(_pairs)
     assert 'high' in dataframe.columns
     assert 'low' in dataframe.columns

freqtrade/tests/test_indicator_helpers.py

@@ -1,4 +1,5 @@
 import pandas as pd
+
 from freqtrade.indicator_helpers import went_up, went_down
 
 

freqtrade/tests/test_logger.py

@@ -0,0 +1,97 @@
+"""
+Unit test file for logger.py
+"""
+
+import logging
+
+from freqtrade.logger import Logger
+
+
+def test_logger_object() -> None:
+    """
+    Test the Constants object has the mandatory Constants
+    :return: None
+    """
+    logger = Logger()
+    assert logger.name == ''
+    assert logger.level == 20
+    assert logger.level is logging.INFO
+    assert hasattr(logger, 'get_logger')
+
+    logger = Logger(name='Foo', level=logging.WARNING)
+    assert logger.name == 'Foo'
+    assert logger.name != ''
+    assert logger.level == 30
+    assert logger.level is logging.WARNING
+
+
+def test_get_logger() -> None:
+    """
+    Test Logger.get_logger() and Logger._init_logger()
+    :return: None
+    """
+    logger = Logger(name='get_logger', level=logging.WARNING)
+    get_logger = logger.get_logger()
+    assert logger.logger is get_logger
+    assert get_logger is not None
+    assert hasattr(get_logger, 'debug')
+    assert hasattr(get_logger, 'info')
+    assert hasattr(get_logger, 'warning')
+    assert hasattr(get_logger, 'critical')
+    assert hasattr(get_logger, 'exception')
+
+
+def test_set_name() -> None:
+    """
+    Test Logger.set_name()
+    :return: None
+    """
+    logger = Logger(name='set_name')
+    assert logger.name == 'set_name'
+
+    logger.set_name('set_name_new')
+    assert logger.name == 'set_name_new'
+
+
+def test_set_level() -> None:
+    """
+    Test Logger.set_name()
+    :return: None
+    """
+    logger = Logger(name='Foo', level=logging.WARNING)
+    assert logger.level == logging.WARNING
+    assert logger.get_logger().level == logging.WARNING
+
+    logger.set_level(logging.INFO)
+    assert logger.level == logging.INFO
+    assert logger.get_logger().level == logging.INFO
+
+
+def test_sending_msg(caplog) -> None:
+    """
+    Test send a logging message
+    :return: None
+    """
+    logger = Logger(name='sending_msg', level=logging.WARNING).get_logger()
+
+    logger.info('I am an INFO message')
+    assert('sending_msg', logging.INFO, 'I am an INFO message') not in caplog.record_tuples
+
+    logger.warning('I am an WARNING message')
+    assert ('sending_msg', logging.WARNING, 'I am an WARNING message') in caplog.record_tuples
+
+
+def test_set_format(caplog) -> None:
+    """
+    Test Logger.set_format()
+    :return: None
+    """
+    log = Logger(name='set_format')
+    logger = log.get_logger()
+
+    logger.info('I am the first message')
+    assert ('set_format', logging.INFO, 'I am the first message') in caplog.record_tuples
+
+    log.set_format(log_format='%(message)s', propagate=True)
+    logger.info('I am the second message')
+    assert ('set_format', logging.INFO, 'I am the second message') in caplog.record_tuples

freqtrade/tests/test_main.py

@@ -1,30 +1,23 @@
-# pragma pylint: disable=missing-docstring, C0103
-import copy
+"""
+Unit test file for main.py
+"""
+
 import logging
 from unittest.mock import MagicMock
 
-import arrow
 import pytest
-import requests
-from sqlalchemy import create_engine
 
-import freqtrade.main as main
-from freqtrade import DependencyException, OperationalException
-from freqtrade.exchange import Exchanges
-from freqtrade.main import (_process, check_handle_timedout, create_trade,
-                            execute_sell, get_target_bid, handle_trade, init)
-from freqtrade.misc import State, get_state
-from freqtrade.persistence import Trade
+from freqtrade.main import main, set_loggers
 from freqtrade.tests.conftest import log_has
 
 
-def test_parse_args_backtesting(mocker):
-    """ Test that main() can start backtesting or hyperopt.
-        and also ensure we can pass some specific arguments
-        further argument parsing is done in test_misc.py """
-    backtesting_mock = mocker.patch(
-        'freqtrade.optimize.backtesting.start', MagicMock())
-    main.main(['backtesting'])
+def test_parse_args_backtesting(mocker) -> None:
+    """
+    Test that main() can start backtesting and also ensure we can pass some specific arguments
+    further argument parsing is done in test_arguments.py
+    """
+    backtesting_mock = mocker.patch('freqtrade.optimize.backtesting.start', MagicMock())
+    main(['backtesting'])
     assert backtesting_mock.call_count == 1
     call_args = backtesting_mock.call_args[0][0]
     assert call_args.config == 'config.json'
@@ -35,10 +28,12 @@ def test_parse_args_backtesting(mocker):
     assert call_args.ticker_interval is None
 
 
-def test_main_start_hyperopt(mocker):
-    hyperopt_mock = mocker.patch(
-        'freqtrade.optimize.hyperopt.start', MagicMock())
-    main.main(['hyperopt'])
+def test_main_start_hyperopt(mocker) -> None:
+    """
+    Test that main() can start hyperopt
+    """
+    hyperopt_mock = mocker.patch('freqtrade.optimize.hyperopt.start', MagicMock())
+    main(['hyperopt'])
     assert hyperopt_mock.call_count == 1
     call_args = hyperopt_mock.call_args[0][0]
     assert call_args.config == 'config.json'
@@ -47,793 +42,52 @@ def test_main_start_hyperopt(mocker):
     assert call_args.func is not None
 
 
-def test_process_maybe_execute_buy(default_conf, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.create_trade', return_value=True)
-    assert main.process_maybe_execute_buy(int(default_conf['ticker_interval']))
-    mocker.patch('freqtrade.main.create_trade', return_value=False)
-    assert not main.process_maybe_execute_buy(int(default_conf['ticker_interval']))
+def test_set_loggers() -> None:
+    """
+    Test set_loggers() update the logger level for third-party libraries
+    """
+    previous_value1 = logging.getLogger('requests.packages.urllib3').level
+    previous_value2 = logging.getLogger('telegram').level
+
+    set_loggers()
+
+    value1 = logging.getLogger('requests.packages.urllib3').level
+    assert previous_value1 is not value1
+    assert value1 is logging.INFO
+
+    value2 = logging.getLogger('telegram').level
+    assert previous_value2 is not value2
+    assert value2 is logging.INFO
 
 
-def test_process_maybe_execute_sell(default_conf, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.handle_trade', return_value=True)
-    mocker.patch('freqtrade.exchange.get_order', return_value=1)
-    trade = MagicMock()
-    trade.open_order_id = '123'
-    assert not main.process_maybe_execute_sell(trade, int(default_conf['ticker_interval']))
-    trade.is_open = True
-    trade.open_order_id = None
-    # Assert we call handle_trade() if trade is feasible for execution
-    assert main.process_maybe_execute_sell(trade, int(default_conf['ticker_interval']))
-
-
-def test_process_maybe_execute_buy_exception(default_conf, mocker, caplog):
-    caplog.set_level(logging.INFO)
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.create_trade', MagicMock(side_effect=DependencyException))
-    main.process_maybe_execute_buy(int(default_conf['ticker_interval']))
-    assert log_has('Unable to create trade: ', caplog.record_tuples)
-
-
-def test_process_trade_creation(default_conf, ticker, limit_buy_order, health, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          get_wallet_health=health,
-                          buy=MagicMock(return_value='mocked_limit_buy'),
-                          get_order=MagicMock(return_value=limit_buy_order))
-    init(default_conf, create_engine('sqlite://'))
-
-    trades = Trade.query.filter(Trade.is_open.is_(True)).all()
-    assert not trades
-
-    result = _process(interval=int(default_conf['ticker_interval']))
-    assert result is True
-
-    trades = Trade.query.filter(Trade.is_open.is_(True)).all()
-    assert len(trades) == 1
-    trade = trades[0]
-    assert trade is not None
-    assert trade.stake_amount == default_conf['stake_amount']
-    assert trade.is_open
-    assert trade.open_date is not None
-    assert trade.exchange == Exchanges.BITTREX.name
-    assert trade.open_rate == 0.00001099
-    assert trade.amount == 90.99181073703367
-
-
-def test_process_exchange_failures(default_conf, ticker, health, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    sleep_mock = mocker.patch('time.sleep', side_effect=lambda _: None)
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          get_wallet_health=health,
-                          buy=MagicMock(side_effect=requests.exceptions.RequestException))
-    init(default_conf, create_engine('sqlite://'))
-    result = _process(interval=int(default_conf['ticker_interval']))
-    assert result is False
-    assert sleep_mock.has_calls()
-
-
-def test_process_operational_exception(default_conf, ticker, health, mocker):
-    msg_mock = MagicMock()
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=msg_mock)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          get_wallet_health=health,
-                          buy=MagicMock(side_effect=OperationalException))
-    init(default_conf, create_engine('sqlite://'))
-    assert get_state() == State.RUNNING
-
-    result = _process(interval=int(default_conf['ticker_interval']))
-    assert result is False
-    assert get_state() == State.STOPPED
-    assert 'OperationalException' in msg_mock.call_args_list[-1][0][0]
-
-
-def test_process_trade_handling(default_conf, ticker, limit_buy_order, health, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          get_wallet_health=health,
-                          buy=MagicMock(return_value='mocked_limit_buy'),
-                          get_order=MagicMock(return_value=limit_buy_order))
-    init(default_conf, create_engine('sqlite://'))
-
-    trades = Trade.query.filter(Trade.is_open.is_(True)).all()
-    assert not trades
-    result = _process(interval=int(default_conf['ticker_interval']))
-    assert result is True
-    trades = Trade.query.filter(Trade.is_open.is_(True)).all()
-    assert len(trades) == 1
-
-    result = _process(interval=int(default_conf['ticker_interval']))
-    assert result is False
-
-
-def test_create_trade(default_conf, ticker, limit_buy_order, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          buy=MagicMock(return_value='mocked_limit_buy'))
-    # Save state of current whitelist
-    whitelist = copy.deepcopy(default_conf['exchange']['pair_whitelist'])
-
-    init(default_conf, create_engine('sqlite://'))
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    assert trade is not None
-    assert trade.stake_amount == 0.001
-    assert trade.is_open
-    assert trade.open_date is not None
-    assert trade.exchange == Exchanges.BITTREX.name
-
-    # Simulate fulfilled LIMIT_BUY order for trade
-    trade.update(limit_buy_order)
-
-    assert trade.open_rate == 0.00001099
-    assert trade.amount == 90.99181073
-
-    assert whitelist == default_conf['exchange']['pair_whitelist']
-
-
-def test_create_trade_minimal_amount(default_conf, ticker, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    buy_mock = mocker.patch(
-        'freqtrade.main.exchange.buy', MagicMock(return_value='mocked_limit_buy')
+def test_main(mocker, caplog) -> None:
+    """
+    Test main() function
+    In this test we are skipping the while True loop by throwing an exception.
+    """
+    mocker.patch.multiple(
+        'freqtrade.freqtradebot.FreqtradeBot',
+        _init_modules=MagicMock(),
+        worker=MagicMock(
+            side_effect=KeyboardInterrupt
+        ),
+        clean=MagicMock(),
     )
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker)
-    init(default_conf, create_engine('sqlite://'))
-    min_stake_amount = 0.0005
-    create_trade(min_stake_amount, int(default_conf['ticker_interval']))
-    rate, amount = buy_mock.call_args[0][1], buy_mock.call_args[0][2]
-    assert rate * amount >= min_stake_amount
+    args = ['-c', 'config.json.example']
 
+    # Test Main + the KeyboardInterrupt exception
+    with pytest.raises(SystemExit) as pytest_wrapped_e:
+        main(args)
+        log_has('Starting freqtrade', caplog.record_tuples)
+        log_has('Got SIGINT, aborting ...', caplog.record_tuples)
+        assert pytest_wrapped_e.type == SystemExit
+        assert pytest_wrapped_e.value.code == 42
 
-def test_create_trade_no_stake_amount(default_conf, ticker, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          buy=MagicMock(return_value='mocked_limit_buy'),
-                          get_balance=MagicMock(return_value=default_conf['stake_amount'] * 0.5))
-    with pytest.raises(DependencyException, match=r'.*stake amount.*'):
-        create_trade(default_conf['stake_amount'], int(default_conf['ticker_interval']))
-
-
-def test_create_trade_no_pairs(default_conf, ticker, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          buy=MagicMock(return_value='mocked_limit_buy'))
-
-    with pytest.raises(DependencyException, match=r'.*No currency pairs in whitelist.*'):
-        conf = copy.deepcopy(default_conf)
-        conf['exchange']['pair_whitelist'] = []
-        mocker.patch.dict('freqtrade.main._CONF', conf)
-        create_trade(default_conf['stake_amount'], int(default_conf['ticker_interval']))
-
-
-def test_create_trade_no_pairs_after_blacklist(default_conf, ticker, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          buy=MagicMock(return_value='mocked_limit_buy'))
-
-    with pytest.raises(DependencyException, match=r'.*No currency pairs in whitelist.*'):
-        conf = copy.deepcopy(default_conf)
-        conf['exchange']['pair_whitelist'] = ["BTC_ETH"]
-        conf['exchange']['pair_blacklist'] = ["BTC_ETH"]
-        mocker.patch.dict('freqtrade.main._CONF', conf)
-        create_trade(default_conf['stake_amount'], int(default_conf['ticker_interval']))
-
-
-def test_create_trade_no_signal(default_conf, mocker):
-    default_conf['dry_run'] = True
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', MagicMock(return_value=(False, False)))
-    mocker.patch.multiple('freqtrade.exchange',
-                          get_ticker_history=MagicMock(return_value=20))
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          get_balance=MagicMock(return_value=20))
-    stake_amount = 10
-    Trade.query = MagicMock()
-    Trade.query.filter = MagicMock()
-    assert not create_trade(stake_amount, int(default_conf['ticker_interval']))
-
-
-def test_handle_trade(default_conf, limit_buy_order, limit_sell_order, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=MagicMock(return_value={
-                              'bid': 0.00001172,
-                              'ask': 0.00001173,
-                              'last': 0.00001172
-                          }),
-                          buy=MagicMock(return_value='mocked_limit_buy'),
-                          sell=MagicMock(return_value='mocked_limit_sell'))
-    mocker.patch.multiple('freqtrade.fiat_convert.Market',
-                          ticker=MagicMock(return_value={'price_usd': 15000.0}))
-    init(default_conf, create_engine('sqlite://'))
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    assert trade
-
-    trade.update(limit_buy_order)
-    assert trade.is_open is True
-
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (False, True))
-    assert handle_trade(trade, int(default_conf['ticker_interval'])) is True
-    assert trade.open_order_id == 'mocked_limit_sell'
-
-    # Simulate fulfilled LIMIT_SELL order for trade
-    trade.update(limit_sell_order)
-
-    assert trade.close_rate == 0.00001173
-    assert trade.close_profit == 0.06201057
-    assert trade.calc_profit() == 0.00006217
-    assert trade.close_date is not None
-
-
-def test_handle_overlpapping_signals(default_conf, ticker, mocker):
-    default_conf.update({'experimental': {'use_sell_signal': True}})
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, True))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          buy=MagicMock(return_value='mocked_limit_buy'))
-    mocker.patch('freqtrade.main.min_roi_reached', return_value=False)
-
-    init(default_conf, create_engine('sqlite://'))
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    # Buy and Sell triggering, so doing nothing ...
-    trades = Trade.query.all()
-    nb_trades = len(trades)
-    assert nb_trades == 0
-
-    # Buy is triggering, so buying ...
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    create_trade(0.001, int(default_conf['ticker_interval']))
-    trades = Trade.query.all()
-    nb_trades = len(trades)
-    assert nb_trades == 1
-    assert trades[0].is_open is True
-
-    # Buy and Sell are not triggering, so doing nothing ...
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (False, False))
-    assert handle_trade(trades[0], int(default_conf['ticker_interval'])) is False
-    trades = Trade.query.all()
-    nb_trades = len(trades)
-    assert nb_trades == 1
-    assert trades[0].is_open is True
-
-    # Buy and Sell are triggering, so doing nothing ...
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, True))
-    assert handle_trade(trades[0], int(default_conf['ticker_interval'])) is False
-    trades = Trade.query.all()
-    nb_trades = len(trades)
-    assert nb_trades == 1
-    assert trades[0].is_open is True
-
-    # Sell is triggering, guess what : we are Selling!
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (False, True))
-    trades = Trade.query.all()
-    assert handle_trade(trades[0], int(default_conf['ticker_interval'])) is True
-
-
-def test_handle_trade_roi(default_conf, ticker, mocker, caplog):
-    caplog.set_level(logging.DEBUG)
-    default_conf.update({'experimental': {'use_sell_signal': True}})
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          buy=MagicMock(return_value='mocked_limit_buy'))
-    mocker.patch('freqtrade.main.min_roi_reached', return_value=True)
-
-    init(default_conf, create_engine('sqlite://'))
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    trade.is_open = True
-
-    # FIX: sniffing logs, suggest handle_trade should not execute_sell
-    #      instead that responsibility should be moved out of handle_trade(),
-    #      we might just want to check if we are in a sell condition without
-    #      executing
-    # if ROI is reached we must sell
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (False, True))
-    assert handle_trade(trade, interval=int(default_conf['ticker_interval']))
-    assert log_has('Required profit reached. Selling..', caplog.record_tuples)
-    # if ROI is reached we must sell even if sell-signal is not signalled
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (False, True))
-    assert handle_trade(trade, interval=int(default_conf['ticker_interval']))
-    assert log_has('Required profit reached. Selling..', caplog.record_tuples)
-
-
-def test_handle_trade_experimental(default_conf, ticker, mocker, caplog):
-    caplog.set_level(logging.DEBUG)
-    default_conf.update({'experimental': {'use_sell_signal': True}})
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          buy=MagicMock(return_value='mocked_limit_buy'))
-    mocker.patch('freqtrade.main.min_roi_reached', return_value=False)
-
-    init(default_conf, create_engine('sqlite://'))
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    trade.is_open = True
-
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (False, False))
-    value_returned = handle_trade(trade, int(default_conf['ticker_interval']))
-    assert value_returned is False
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (False, True))
-    assert handle_trade(trade, int(default_conf['ticker_interval']))
-    assert log_has('Sell signal received. Selling..', caplog.record_tuples)
-
-
-def test_close_trade(default_conf, ticker, limit_buy_order, limit_sell_order, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          buy=MagicMock(return_value='mocked_limit_buy'))
-
-    # Create trade and sell it
-    init(default_conf, create_engine('sqlite://'))
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    assert trade
-
-    trade.update(limit_buy_order)
-    trade.update(limit_sell_order)
-    assert trade.is_open is False
-
-    with pytest.raises(ValueError, match=r'.*closed trade.*'):
-        handle_trade(trade, int(default_conf['ticker_interval']))
-
-
-def test_check_handle_timedout_buy(default_conf, ticker, limit_buy_order_old, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    cancel_order_mock = MagicMock()
-    mocker.patch('freqtrade.rpc.init', MagicMock())
-    rpc_mock = mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          get_order=MagicMock(return_value=limit_buy_order_old),
-                          cancel_order=cancel_order_mock)
-    init(default_conf, create_engine('sqlite://'))
-
-    trade_buy = Trade(
-        pair='BTC_ETH',
-        open_rate=0.00001099,
-        exchange='BITTREX',
-        open_order_id='123456789',
-        amount=90.99181073,
-        fee=0.0,
-        stake_amount=1,
-        open_date=arrow.utcnow().shift(minutes=-601).datetime,
-        is_open=True
+    # Test the BaseException case
+    mocker.patch(
+        'freqtrade.freqtradebot.FreqtradeBot.worker',
+        MagicMock(side_effect=BaseException)
     )
-
-    Trade.session.add(trade_buy)
-
-    # check it does cancel buy orders over the time limit
-    check_handle_timedout(600)
-    assert cancel_order_mock.call_count == 1
-    assert rpc_mock.call_count == 1
-    trades = Trade.query.filter(Trade.open_order_id.is_(trade_buy.open_order_id)).all()
-    nb_trades = len(trades)
-    assert nb_trades == 0
-
-
-def test_handle_timedout_limit_buy(mocker):
-    cancel_order = MagicMock()
-    mocker.patch('freqtrade.exchange.cancel_order', cancel_order)
-    Trade.session = MagicMock()
-    trade = MagicMock()
-    order = {'remaining': 1,
-             'amount': 1}
-    assert main.handle_timedout_limit_buy(trade, order)
-    assert cancel_order.call_count == 1
-    order['amount'] = 2
-    assert not main.handle_timedout_limit_buy(trade, order)
-    assert cancel_order.call_count == 2
-
-
-def test_check_handle_timedout_sell(default_conf, ticker, limit_sell_order_old, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    cancel_order_mock = MagicMock()
-    mocker.patch('freqtrade.rpc.init', MagicMock())
-    rpc_mock = mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          get_order=MagicMock(return_value=limit_sell_order_old),
-                          cancel_order=cancel_order_mock)
-    init(default_conf, create_engine('sqlite://'))
-
-    trade_sell = Trade(
-        pair='BTC_ETH',
-        open_rate=0.00001099,
-        exchange='BITTREX',
-        open_order_id='123456789',
-        amount=90.99181073,
-        fee=0.0,
-        stake_amount=1,
-        open_date=arrow.utcnow().shift(hours=-5).datetime,
-        close_date=arrow.utcnow().shift(minutes=-601).datetime,
-        is_open=False
-    )
-
-    Trade.session.add(trade_sell)
-
-    # check it does cancel sell orders over the time limit
-    check_handle_timedout(600)
-    assert cancel_order_mock.call_count == 1
-    assert rpc_mock.call_count == 1
-    assert trade_sell.is_open is True
-
-
-def test_handle_timedout_limit_sell(mocker):
-    cancel_order = MagicMock()
-    mocker.patch('freqtrade.exchange.cancel_order', cancel_order)
-    trade = MagicMock()
-    order = {'remaining': 1,
-             'amount': 1}
-    assert main.handle_timedout_limit_sell(trade, order)
-    assert cancel_order.call_count == 1
-    order['amount'] = 2
-    assert not main.handle_timedout_limit_sell(trade, order)
-    # Assert cancel_order was not called (callcount remains unchanged)
-    assert cancel_order.call_count == 1
-
-
-def test_check_handle_timedout_partial(default_conf, ticker, limit_buy_order_old_partial,
-                                       mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    cancel_order_mock = MagicMock()
-    mocker.patch('freqtrade.rpc.init', MagicMock())
-    rpc_mock = mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker,
-                          get_order=MagicMock(return_value=limit_buy_order_old_partial),
-                          cancel_order=cancel_order_mock)
-    init(default_conf, create_engine('sqlite://'))
-
-    trade_buy = Trade(
-        pair='BTC_ETH',
-        open_rate=0.00001099,
-        exchange='BITTREX',
-        open_order_id='123456789',
-        amount=90.99181073,
-        fee=0.0,
-        stake_amount=1,
-        open_date=arrow.utcnow().shift(minutes=-601).datetime,
-        is_open=True
-    )
-
-    Trade.session.add(trade_buy)
-
-    # check it does cancel buy orders over the time limit
-    # note this is for a partially-complete buy order
-    check_handle_timedout(600)
-    assert cancel_order_mock.call_count == 1
-    assert rpc_mock.call_count == 1
-    trades = Trade.query.filter(Trade.open_order_id.is_(trade_buy.open_order_id)).all()
-    assert len(trades) == 1
-    assert trades[0].amount == 23.0
-    assert trades[0].stake_amount == trade_buy.open_rate * trades[0].amount
-
-
-def test_balance_fully_ask_side(mocker):
-    mocker.patch.dict('freqtrade.main._CONF', {'bid_strategy': {'ask_last_balance': 0.0}})
-    assert get_target_bid({'ask': 20, 'last': 10}) == 20
-
-
-def test_balance_fully_last_side(mocker):
-    mocker.patch.dict('freqtrade.main._CONF', {'bid_strategy': {'ask_last_balance': 1.0}})
-    assert get_target_bid({'ask': 20, 'last': 10}) == 10
-
-
-def test_balance_bigger_last_ask(mocker):
-    mocker.patch.dict('freqtrade.main._CONF', {'bid_strategy': {'ask_last_balance': 1.0}})
-    assert get_target_bid({'ask': 5, 'last': 10}) == 5
-
-
-def test_execute_sell_up(default_conf, ticker, ticker_sell_up, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch('freqtrade.rpc.init', MagicMock())
-    rpc_mock = mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker)
-    mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
-    init(default_conf, create_engine('sqlite://'))
-
-    # Create some test data
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    assert trade
-
-    # Increase the price and sell it
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker_sell_up)
-
-    execute_sell(trade=trade, limit=ticker_sell_up()['bid'])
-
-    assert rpc_mock.call_count == 2
-    assert 'Selling' in rpc_mock.call_args_list[-1][0][0]
-    assert '[BTC_ETH]' in rpc_mock.call_args_list[-1][0][0]
-    assert 'Amount' in rpc_mock.call_args_list[-1][0][0]
-    assert 'Profit' in rpc_mock.call_args_list[-1][0][0]
-    assert '0.00001172' in rpc_mock.call_args_list[-1][0][0]
-    assert 'profit: 6.11%, 0.00006126' in rpc_mock.call_args_list[-1][0][0]
-    assert '0.919 USD' in rpc_mock.call_args_list[-1][0][0]
-
-
-def test_execute_sell_down(default_conf, ticker, ticker_sell_down, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch('freqtrade.rpc.init', MagicMock())
-    rpc_mock = mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.rpc.telegram',
-                          _CONF=default_conf,
-                          init=MagicMock(),
-                          send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker)
-    mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
-    init(default_conf, create_engine('sqlite://'))
-
-    # Create some test data
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    assert trade
-
-    # Decrease the price and sell it
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker_sell_down)
-
-    execute_sell(trade=trade, limit=ticker_sell_down()['bid'])
-
-    assert rpc_mock.call_count == 2
-    assert 'Selling' in rpc_mock.call_args_list[-1][0][0]
-    assert '[BTC_ETH]' in rpc_mock.call_args_list[-1][0][0]
-    assert 'Amount' in rpc_mock.call_args_list[-1][0][0]
-    assert '0.00001044' in rpc_mock.call_args_list[-1][0][0]
-    assert 'loss: -5.48%, -0.00005492' in rpc_mock.call_args_list[-1][0][0]
-    assert '-0.824 USD' in rpc_mock.call_args_list[-1][0][0]
-
-
-def test_execute_sell_without_conf_sell_down(default_conf, ticker, ticker_sell_down, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch('freqtrade.rpc.init', MagicMock())
-    rpc_mock = mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker)
-    init(default_conf, create_engine('sqlite://'))
-
-    # Create some test data
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    assert trade
-
-    # Decrease the price and sell it
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker_sell_down)
-    mocker.patch('freqtrade.main._CONF', {})
-
-    execute_sell(trade=trade, limit=ticker_sell_down()['bid'])
-
-    assert rpc_mock.call_count == 2
-    assert 'Selling' in rpc_mock.call_args_list[-1][0][0]
-    assert '[BTC_ETH]' in rpc_mock.call_args_list[-1][0][0]
-    assert '0.00001044' in rpc_mock.call_args_list[-1][0][0]
-    assert 'loss: -5.48%, -0.00005492' in rpc_mock.call_args_list[-1][0][0]
-
-
-def test_execute_sell_without_conf_sell_up(default_conf, ticker, ticker_sell_up, mocker):
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch('freqtrade.rpc.init', MagicMock())
-    rpc_mock = mocker.patch('freqtrade.main.rpc.send_msg', MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker)
-    init(default_conf, create_engine('sqlite://'))
-
-    # Create some test data
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    assert trade
-
-    # Increase the price and sell it
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=ticker_sell_up)
-    mocker.patch('freqtrade.main._CONF', {})
-
-    execute_sell(trade=trade, limit=ticker_sell_up()['bid'])
-
-    assert rpc_mock.call_count == 2
-    assert 'Selling' in rpc_mock.call_args_list[-1][0][0]
-    assert '[BTC_ETH]' in rpc_mock.call_args_list[-1][0][0]
-    assert 'Amount' in rpc_mock.call_args_list[-1][0][0]
-    assert '0.00001172' in rpc_mock.call_args_list[-1][0][0]
-    assert '(profit: 6.11%, 0.00006126)' in rpc_mock.call_args_list[-1][0][0]
-    assert 'USD' not in rpc_mock.call_args_list[-1][0][0]
-
-
-def test_sell_profit_only_enable_profit(default_conf, limit_buy_order, mocker):
-    default_conf['experimental'] = {
-        'use_sell_signal': True,
-        'sell_profit_only': True,
-    }
-
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.min_roi_reached', return_value=False)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=MagicMock(return_value={
-                              'bid': 0.00002172,
-                              'ask': 0.00002173,
-                              'last': 0.00002172
-                          }),
-                          buy=MagicMock(return_value='mocked_limit_buy'))
-
-    init(default_conf, create_engine('sqlite://'))
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    trade.update(limit_buy_order)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (False, True))
-    assert handle_trade(trade, int(default_conf['ticker_interval'])) is True
-
-
-def test_sell_profit_only_disable_profit(default_conf, limit_buy_order, mocker):
-    default_conf['experimental'] = {
-        'use_sell_signal': True,
-        'sell_profit_only': False,
-    }
-
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.min_roi_reached', return_value=False)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=MagicMock(return_value={
-                              'bid': 0.00002172,
-                              'ask': 0.00002173,
-                              'last': 0.00002172
-                          }),
-                          buy=MagicMock(return_value='mocked_limit_buy'))
-
-    init(default_conf, create_engine('sqlite://'))
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    trade.update(limit_buy_order)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (False, True))
-    assert handle_trade(trade, int(default_conf['ticker_interval'])) is True
-
-
-def test_sell_profit_only_enable_loss(default_conf, limit_buy_order, mocker):
-    default_conf['experimental'] = {
-        'use_sell_signal': True,
-        'sell_profit_only': True,
-    }
-
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.min_roi_reached', return_value=False)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=MagicMock(return_value={
-                              'bid': 0.00000172,
-                              'ask': 0.00000173,
-                              'last': 0.00000172
-                          }),
-                          buy=MagicMock(return_value='mocked_limit_buy'))
-
-    init(default_conf, create_engine('sqlite://'))
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    trade.update(limit_buy_order)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (False, True))
-    assert handle_trade(trade, int(default_conf['ticker_interval'])) is False
-
-
-def test_sell_profit_only_disable_loss(default_conf, limit_buy_order, mocker):
-    default_conf['experimental'] = {
-        'use_sell_signal': True,
-        'sell_profit_only': False,
-    }
-
-    mocker.patch.dict('freqtrade.main._CONF', default_conf)
-    mocker.patch('freqtrade.main.min_roi_reached', return_value=False)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (True, False))
-    mocker.patch.multiple('freqtrade.rpc', init=MagicMock(), send_msg=MagicMock())
-    mocker.patch.multiple('freqtrade.main.exchange',
-                          validate_pairs=MagicMock(),
-                          get_ticker=MagicMock(return_value={
-                              'bid': 0.00000172,
-                              'ask': 0.00000173,
-                              'last': 0.00000172
-                          }),
-                          buy=MagicMock(return_value='mocked_limit_buy'))
-
-    init(default_conf, create_engine('sqlite://'))
-    create_trade(0.001, int(default_conf['ticker_interval']))
-
-    trade = Trade.query.first()
-    trade.update(limit_buy_order)
-    mocker.patch('freqtrade.main.get_signal', side_effect=lambda s, t: (False, True))
-    assert handle_trade(trade, int(default_conf['ticker_interval'])) is True
+    with pytest.raises(SystemExit):
+        main(args)
+        log_has('Got fatal exception!', caplog.record_tuples)

freqtrade/tests/test_misc.py

@@ -1,188 +1,34 @@
 # pragma pylint: disable=missing-docstring,C0103
-import argparse
-import json
-import time
-from copy import deepcopy
-from unittest.mock import MagicMock
+
+"""
+Unit test file for misc.py
+"""
 
 import datetime
-import pytest
-from jsonschema import ValidationError
-from freqtrade.analyze import parse_ticker_dataframe
-from freqtrade.misc import (common_args_parser, file_dump_json, load_config,
-                            parse_args, parse_timerange, throttle, datesarray_to_datetimearray)
+from unittest.mock import MagicMock
+
+from freqtrade.analyze import Analyze
+from freqtrade.misc import (shorten_date, datesarray_to_datetimearray,
+                            common_datearray, file_dump_json)
+from freqtrade.optimize.__init__ import load_tickerdata_file
 
 
-def test_throttle():
-
-    def func():
-        return 42
-
-    start = time.time()
-    result = throttle(func, min_secs=0.1)
-    end = time.time()
-
-    assert result == 42
-    assert end - start > 0.1
-
-    result = throttle(func, min_secs=-1)
-    assert result == 42
-
-
-def test_throttle_with_assets():
-
-    def func(nb_assets=-1):
-        return nb_assets
-
-    result = throttle(func, min_secs=0.1, nb_assets=666)
-    assert result == 666
-
-    result = throttle(func, min_secs=0.1)
-    assert result == -1
-
-
-# Parse common command-line-arguments. Used for all tools
-
-def test_parse_args_none():
-    args = common_args_parser('')
-    assert isinstance(args, argparse.ArgumentParser)
-
-
-def test_parse_args_defaults():
-    args = parse_args([], '')
-    assert args.config == 'config.json'
-    assert args.dynamic_whitelist is None
-    assert args.loglevel == 20
-
-
-def test_parse_args_config():
-    args = parse_args(['-c', '/dev/null'], '')
-    assert args.config == '/dev/null'
-
-    args = parse_args(['--config', '/dev/null'], '')
-    assert args.config == '/dev/null'
-
-
-def test_parse_args_verbose():
-    args = parse_args(['-v'], '')
-    assert args.loglevel == 10
-
-    args = parse_args(['--verbose'], '')
-    assert args.loglevel == 10
-
-
-def test_parse_args_version():
-    with pytest.raises(SystemExit, match=r'0'):
-        parse_args(['--version'], '')
-
-
-def test_parse_args_invalid():
-    with pytest.raises(SystemExit, match=r'2'):
-        parse_args(['-c'], '')
-
-
-# Parse command-line-arguments
-# used for main, backtesting and hyperopt
-
-
-def test_parse_args_dynamic_whitelist():
-    args = parse_args(['--dynamic-whitelist'], '')
-    assert args.dynamic_whitelist == 20
-
-
-def test_parse_args_dynamic_whitelist_10():
-    args = parse_args(['--dynamic-whitelist', '10'], '')
-    assert args.dynamic_whitelist == 10
-
-
-def test_parse_args_dynamic_whitelist_invalid_values():
-    with pytest.raises(SystemExit, match=r'2'):
-        parse_args(['--dynamic-whitelist', 'abc'], '')
-
-
-def test_parse_args_backtesting_invalid():
-    with pytest.raises(SystemExit, match=r'2'):
-        parse_args(['backtesting --ticker-interval'], '')
-
-    with pytest.raises(SystemExit, match=r'2'):
-        parse_args(['backtesting --ticker-interval', 'abc'], '')
-
-
-def test_parse_args_backtesting_custom():
-    args = [
-        '-c', 'test_conf.json',
-        'backtesting',
-        '--live',
-        '--ticker-interval', '1',
-        '--refresh-pairs-cached']
-    call_args = parse_args(args, '')
-    assert call_args.config == 'test_conf.json'
-    assert call_args.live is True
-    assert call_args.loglevel == 20
-    assert call_args.subparser == 'backtesting'
-    assert call_args.func is not None
-    assert call_args.ticker_interval == 1
-    assert call_args.refresh_pairs is True
-
-
-def test_parse_args_hyperopt_custom():
-    args = ['-c', 'test_conf.json', 'hyperopt', '--epochs', '20']
-    call_args = parse_args(args, '')
-    assert call_args.config == 'test_conf.json'
-    assert call_args.epochs == 20
-    assert call_args.loglevel == 20
-    assert call_args.subparser == 'hyperopt'
-    assert call_args.func is not None
-
-
-def test_file_dump_json(mocker):
-    file_open = mocker.patch('freqtrade.misc.open', MagicMock())
-    json_dump = mocker.patch('json.dump', MagicMock())
-    file_dump_json('somefile', [1, 2, 3])
-    assert file_open.call_count == 1
-    assert json_dump.call_count == 1
-
-
-def test_parse_timerange_incorrect():
-    assert ((None, 'line'), None, -200) == parse_timerange('-200')
-    assert (('line', None), 200, None) == parse_timerange('200-')
-    with pytest.raises(Exception, match=r'Incorrect syntax.*'):
-        parse_timerange('-')
-
-
-def test_load_config(default_conf, mocker):
-    file_mock = mocker.patch('freqtrade.misc.open', mocker.mock_open(
-        read_data=json.dumps(default_conf)
-    ))
-    validated_conf = load_config('somefile')
-    assert file_mock.call_count == 1
-    assert validated_conf.items() >= default_conf.items()
-
-
-def test_load_config_invalid_pair(default_conf, mocker):
-    conf = deepcopy(default_conf)
-    conf['exchange']['pair_whitelist'].append('BTC-ETH')
-    mocker.patch(
-        'freqtrade.misc.open',
-        mocker.mock_open(
-            read_data=json.dumps(conf)))
-    with pytest.raises(ValidationError, match=r'.*does not match.*'):
-        load_config('somefile')
-
-
-def test_load_config_missing_attributes(default_conf, mocker):
-    conf = deepcopy(default_conf)
-    conf.pop('exchange')
-    mocker.patch(
-        'freqtrade.misc.open',
-        mocker.mock_open(
-            read_data=json.dumps(conf)))
-    with pytest.raises(ValidationError, match=r'.*\'exchange\' is a required property.*'):
-        load_config('somefile')
+def test_shorten_date() -> None:
+    """
+    Test shorten_date() function
+    :return: None
+    """
+    str_data = '1 day, 2 hours, 3 minutes, 4 seconds ago'
+    str_shorten_data = '1 d, 2 h, 3 min, 4 sec ago'
+    assert shorten_date(str_data) == str_shorten_data
 
 
 def test_datesarray_to_datetimearray(ticker_history):
-    dataframes = parse_ticker_dataframe(ticker_history)
+    """
+    Test datesarray_to_datetimearray() function
+    :return: None
+    """
+    dataframes = Analyze.parse_ticker_dataframe(ticker_history)
     dates = datesarray_to_datetimearray(dataframes['date'])
 
     assert isinstance(dates[0], datetime.datetime)
@@ -194,3 +40,34 @@ def test_datesarray_to_datetimearray(ticker_history):
 
     date_len = len(dates)
     assert date_len == 3
+
+
+def test_common_datearray(default_conf, mocker) -> None:
+    """
+    Test common_datearray()
+    :return: None
+    """
+    mocker.patch('freqtrade.strategy.strategy.Strategy', MagicMock())
+
+    analyze = Analyze(default_conf)
+    tick = load_tickerdata_file(None, 'BTC_UNITEST', 1)
+    tickerlist = {'BTC_UNITEST': tick}
+    dataframes = analyze.tickerdata_to_dataframe(tickerlist)
+
+    dates = common_datearray(dataframes)
+
+    assert dates.size == dataframes['BTC_UNITEST']['date'].size
+    assert dates[0] == dataframes['BTC_UNITEST']['date'][0]
+    assert dates[-1] == dataframes['BTC_UNITEST']['date'][-1]
+
+
+def test_file_dump_json(mocker) -> None:
+    """
+    Test file_dump_json()
+    :return: None
+    """
+    file_open = mocker.patch('freqtrade.misc.open', MagicMock())
+    json_dump = mocker.patch('json.dump', MagicMock())
+    file_dump_json('somefile', [1, 2, 3])
+    assert file_open.call_count == 1
+    assert json_dump.call_count == 1

freqtrade/tests/test_persistence.py

@@ -1,7 +1,9 @@
 # pragma pylint: disable=missing-docstring, C0103
 import os
+
 import pytest
 from sqlalchemy import create_engine
+
 from freqtrade.exchange import Exchanges
 from freqtrade.persistence import Trade, init, clean_dry_run_db
 

freqtrade/tests/test_state.py

@@ -0,0 +1,14 @@
+"""
+Unit test file for constants.py
+"""
+
+from freqtrade.state import State
+
+
+def test_state_object() -> None:
+    """
+    Test the State object has the mandatory states
+    :return: None
+    """
+    assert hasattr(State, 'RUNNING')
+    assert hasattr(State, 'STOPPED')

freqtrade/tests/testdata/download_backtest_data.py

@@ -1,12 +1,12 @@
 #!/usr/bin/env python3
 
 """This script generate json data from bittrex"""
-import sys
 import json
+import sys
 
 from freqtrade import exchange
-from freqtrade.exchange import Bittrex
 from freqtrade import misc
+from freqtrade.exchange import Bittrex
 
 parser = misc.common_args_parser('download utility')
 parser.add_argument(

scripts/plot_dataframe.py

@@ -1,41 +1,55 @@
 #!/usr/bin/env python3
+"""
+Script to display when the bot will buy a specific pair
+
+Mandatory Cli parameters:
+-p / --pair: pair to examine
+
+Optional Cli parameters
+-s / --strategy: strategy to use
+-d / --datadir: path to pair backtest data
+--timerange: specify what timerange of data to use.
+-l / --live: Live, to download the latest ticker for the pair
+"""
 
 import sys
-import logging
+from argparse import Namespace
+
+from typing import List
 
 from plotly import tools
 from plotly.offline import plot
 import plotly.graph_objs as go
 
-from freqtrade import exchange, analyze
-from freqtrade.strategy.strategy import Strategy
-import freqtrade.misc as misc
+from freqtrade.arguments import Arguments
+from freqtrade.analyze import Analyze
+from freqtrade import exchange
+from freqtrade.logger import Logger
 import freqtrade.optimize as optimize
 
 
-logger = logging.getLogger(__name__)
+logger = Logger(name="Graph dataframe").get_logger()
 
 
-def plot_parse_args(args):
-    parser = misc.common_args_parser('Graph dataframe')
-    misc.backtesting_options(parser)
-    misc.scripts_options(parser)
-    return parser.parse_args(args)
-
-
-def plot_analyzed_dataframe(args) -> None:
+def plot_analyzed_dataframe(args: Namespace) -> None:
     """
     Calls analyze() and plots the returned dataframe
-    :param pair: pair as str
     :return: None
     """
     pair = args.pair.replace('-', '_')
-    timerange = misc.parse_timerange(args.timerange)
+    timerange = Arguments.parse_timerange(args.timerange)
 
     # Init strategy
-    strategy = Strategy()
-    strategy.init({'strategy': args.strategy})
-    tick_interval = strategy.ticker_interval
+    try:
+        analyze = Analyze({'strategy': args.strategy})
+    except AttributeError:
+        logger.critical(
+            'Impossible to load the strategy. Please check the file "user_data/strategies/%s.py"',
+            args.strategy
+        )
+        exit()
+
+    tick_interval = analyze.strategy.ticker_interval
 
     tickers = {}
     if args.live:
@@ -44,27 +58,32 @@ def plot_analyzed_dataframe(args) -> None:
         exchange._API = exchange.Bittrex({'key': '', 'secret': ''})
         tickers[pair] = exchange.get_ticker_history(pair, tick_interval)
     else:
-        tickers = optimize.load_data(args.datadir, pairs=[pair],
+        tickers = optimize.load_data(
+            datadir=args.datadir,
+            pairs=[pair],
             ticker_interval=tick_interval,
             refresh_pairs=False,
-                                     timerange=timerange)
-    dataframes = optimize.tickerdata_to_dataframe(tickers)
+            timerange=timerange
+        )
+    dataframes = analyze.tickerdata_to_dataframe(tickers)
     dataframe = dataframes[pair]
     dataframe = analyze.populate_buy_trend(dataframe)
     dataframe = analyze.populate_sell_trend(dataframe)
 
-    if (len(dataframe.index) > 750):
-        logger.warn('Ticker contained more than 750 candles, clipping.')
-    df = dataframe.tail(750)
+    if len(dataframe.index) > 750:
+        logger.warning('Ticker contained more than 750 candles, clipping.')
+    data = dataframe.tail(750)
 
-    candles = go.Candlestick(x=df.date,
-                             open=df.open,
-                             high=df.high,
-                             low=df.low,
-                             close=df.close,
-                             name='Price')
+    candles = go.Candlestick(
+        x=data.date,
+        open=data.open,
+        high=data.high,
+        low=data.low,
+        close=data.close,
+        name='Price'
+    )
 
-    df_buy = df[df['buy'] == 1]
+    df_buy = data[data['buy'] == 1]
     buys = go.Scattergl(
         x=df_buy.date,
         y=df_buy.close,
@@ -73,13 +92,11 @@ def plot_analyzed_dataframe(args) -> None:
         marker=dict(
             symbol='triangle-up-dot',
             size=9,
-            line=dict(
-                width=1,
-            ),
+            line=dict(width=1),
             color='green',
         )
     )
-    df_sell = df[df['sell'] == 1]
+    df_sell = data[data['sell'] == 1]
     sells = go.Scattergl(
         x=df_sell.date,
         y=df_sell.close,
@@ -88,30 +105,28 @@ def plot_analyzed_dataframe(args) -> None:
         marker=dict(
             symbol='triangle-down-dot',
             size=9,
-            line=dict(
-                width=1,
-            ),
+            line=dict(width=1),
             color='red',
         )
     )
 
     bb_lower = go.Scatter(
-        x=df.date,
-        y=df.bb_lowerband,
+        x=data.date,
+        y=data.bb_lowerband,
         name='BB lower',
         line={'color': "transparent"},
     )
     bb_upper = go.Scatter(
-        x=df.date,
-        y=df.bb_upperband,
+        x=data.date,
+        y=data.bb_upperband,
         name='BB upper',
         fill="tonexty",
         fillcolor="rgba(0,176,246,0.2)",
         line={'color': "transparent"},
     )
-    macd = go.Scattergl(x=df['date'], y=df['macd'], name='MACD')
-    macdsignal = go.Scattergl(x=df['date'], y=df['macdsignal'], name='MACD signal')
-    volume = go.Bar(x=df['date'], y=df['volume'], name='Volume')
+    macd = go.Scattergl(x=data['date'], y=data['macd'], name='MACD')
+    macdsignal = go.Scattergl(x=data['date'], y=data['macdsignal'], name='MACD signal')
+    volume = go.Bar(x=data['date'], y=data['volume'], name='Volume')
 
     fig = tools.make_subplots(
         rows=3,
@@ -138,6 +153,31 @@ def plot_analyzed_dataframe(args) -> None:
     plot(fig, filename='freqtrade-plot.html')
 
 
+def plot_parse_args(args: List[str]) -> Namespace:
+    """
+    Parse args passed to the script
+    :param args: Cli arguments
+    :return: args: Array with all arguments
+    """
+    arguments = Arguments(args, 'Graph dataframe')
+    arguments.scripts_options()
+    arguments.common_args_parser()
+    arguments.optimizer_shared_options(arguments.parser)
+    arguments.backtesting_options(arguments.parser)
+
+    return arguments.parse_args()
+
+
+def main(sysargv: List[str]) -> None:
+    """
+    This function will initiate the bot and start the trading loop.
+    :return: None
+    """
+    logger.info('Starting Plot Dataframe')
+    plot_analyzed_dataframe(
+        plot_parse_args(sysargv)
+    )
+
+
 if __name__ == '__main__':
-    args = plot_parse_args(sys.argv[1:])
-    plot_analyzed_dataframe(args)
+    main(sys.argv[1:])

scripts/plot_profit.py

@@ -1,32 +1,45 @@
 #!/usr/bin/env python3
+"""
+Script to display profits
+
+Mandatory Cli parameters:
+-p / --pair: pair to examine
+
+Optional Cli parameters
+-c / --config: specify configuration file
+-s / --strategy: strategy to use
+--timerange: specify what timerange of data to use.
+"""
 
 import sys
 import json
+from argparse import Namespace
+from typing import List, Optional
 import numpy as np
 
 from plotly import tools
 from plotly.offline import plot
 import plotly.graph_objs as go
 
+from freqtrade.arguments import Arguments
+from freqtrade.configuration import Configuration
+from freqtrade.analyze import Analyze
+from freqtrade.logger import Logger
+
 import freqtrade.optimize as optimize
 import freqtrade.misc as misc
-from freqtrade.strategy.strategy import Strategy
 
 
-def plot_parse_args(args):
-    parser = misc.common_args_parser('Graph profits')
-    # FIX: perhaps delete those backtesting options that are not feasible (shows up in -h)
-    misc.backtesting_options(parser)
-    misc.scripts_options(parser)
-    return parser.parse_args(args)
+logger = Logger(name="Graph profits").get_logger()
 
 
 # data:: [ pair,      profit-%,  enter,         exit,        time, duration]
-# data:: ['BTC_XMR', 0.00537847, '1511176800', '1511178000', 5057, 1]
-# FIX: make use of the enter/exit dates to insert the
-# profit more precisely into the pg array
-def make_profit_array(data, px, filter_pairs=[]):
+# data:: ["BTC_ETH", 0.0023975, "1515598200", "1515602100", "2018-01-10 07:30:00+00:00", 65]
+def make_profit_array(
+        data: List, px: int, min_date: int,
+        interval: int, filter_pairs: Optional[List] = None) -> np.ndarray:
     pg = np.zeros(px)
+    filter_pairs = filter_pairs or []
     # Go through the trades
     # and make an total profit
     # array
@@ -35,10 +48,11 @@ def make_profit_array(data, px, filter_pairs=[]):
         if filter_pairs and pair not in filter_pairs:
             continue
         profit = trade[1]
-        tim = trade[4]
-        dur = trade[5]
-        ix = tim + dur - 1
+        trade_sell_time = int(trade[3])
+
+        ix = define_index(min_date, trade_sell_time, interval)
         if ix < px:
+            logger.debug('[%s]: Add profit %s on %s', pair, profit, trade[4])
             pg[ix] += profit
 
     # rewrite the pg array to go from
@@ -53,7 +67,7 @@ def make_profit_array(data, px, filter_pairs=[]):
     return pg
 
 
-def plot_profit(args) -> None:
+def plot_profit(args: Namespace) -> None:
     """
     Plots the total profit for all pairs.
     Note, the profit calculation isn't realistic.
@@ -64,47 +78,62 @@ def plot_profit(args) -> None:
     # We need to use the same pairs, same tick_interval
     # and same timeperiod as used in backtesting
     # to match the tickerdata against the profits-results
+    timerange = Arguments.parse_timerange(args.timerange)
 
-    filter_pairs = args.pair
-
-    config = misc.load_config(args.config)
-    config.update({'strategy': args.strategy})
+    config = Configuration(args).get_config()
 
     # Init strategy
-    strategy = Strategy()
-    strategy.init(config)
+    try:
+        analyze = Analyze({'strategy': config.get('strategy')})
+    except AttributeError:
+        logger.critical(
+            'Impossible to load the strategy. Please check the file "user_data/strategies/%s.py"',
+            config.get('strategy')
+        )
+        exit()
 
+    # Take pairs from the cli otherwise switch to the pair in the config file
+    if args.pair:
+        filter_pairs = args.pair
+        filter_pairs = filter_pairs.split(',')
+    else:
+        filter_pairs = config['exchange']['pair_whitelist']
+
+    tick_interval = analyze.strategy.ticker_interval
     pairs = config['exchange']['pair_whitelist']
 
     if filter_pairs:
-        filter_pairs = filter_pairs.split(',')
         pairs = list(set(pairs) & set(filter_pairs))
-        print('Filter, keep pairs %s' % pairs)
+        logger.info('Filter, keep pairs %s' % pairs)
 
-    timerange = misc.parse_timerange(args.timerange)
-    tickers = optimize.load_data(args.datadir, pairs=pairs,
-                                 ticker_interval=strategy.ticker_interval,
+    tickers = optimize.load_data(
+        datadir=args.datadir,
+        pairs=pairs,
+        ticker_interval=tick_interval,
         refresh_pairs=False,
-                                 timerange=timerange)
-    dataframes = optimize.preprocess(tickers)
+        timerange=timerange
+    )
+    dataframes = analyze.tickerdata_to_dataframe(tickers)
 
     # NOTE: the dataframes are of unequal length,
     # 'dates' is an merged date array of them all.
 
     dates = misc.common_datearray(dataframes)
-    max_x = dates.size
+    min_date = int(min(dates).timestamp())
+    max_date = int(max(dates).timestamp())
+    num_iterations = define_index(min_date, max_date, tick_interval) + 1
 
     # Make an average close price of all the pairs that was involved.
     # this could be useful to gauge the overall market trend
     # We are essentially saying:
     #  array <- sum dataframes[*]['close'] / num_items dataframes
     #  FIX: there should be some onliner numpy/panda for this
-    avgclose = np.zeros(max_x)
+    avgclose = np.zeros(num_iterations)
     num = 0
     for pair, pair_data in dataframes.items():
         close = pair_data['close']
         maxprice = max(close)  # Normalize price to [0,1]
-        print('Pair %s has length %s' % (pair, len(close)))
+        logger.info('Pair %s has length %s' % (pair, len(close)))
         for x in range(0, len(close)):
             avgclose[x] += close[x] / maxprice
         # avgclose += close
@@ -114,10 +143,16 @@ def plot_profit(args) -> None:
     # Load the profits results
     # And make an profits-growth array
 
+    try:
         filename = 'backtest-result.json'
         with open(filename) as file:
             data = json.load(file)
-    pg = make_profit_array(data, max_x, filter_pairs)
+    except FileNotFoundError:
+        logger.critical('File "backtest-result.json" not found. This script require backtesting '
+                        'results to run.\nPlease run a backtesting with the parameter --export.')
+        exit(0)
+
+    pg = make_profit_array(data, num_iterations, min_date, tick_interval, filter_pairs)
 
     #
     # Plot the pairs average close prices, and total profit growth
@@ -128,6 +163,7 @@ def plot_profit(args) -> None:
         y=avgclose,
         name='Avg close price',
     )
+
     profit = go.Scattergl(
         x=dates,
         y=pg,
@@ -140,7 +176,7 @@ def plot_profit(args) -> None:
     fig.append_trace(profit, 2, 1)
 
     for pair in pairs:
-        pg = make_profit_array(data, max_x, pair)
+        pg = make_profit_array(data, num_iterations, min_date, tick_interval, pair)
         pair_profit = go.Scattergl(
             x=dates,
             y=pg,
@@ -151,6 +187,38 @@ def plot_profit(args) -> None:
     plot(fig, filename='freqtrade-profit-plot.html')
 
 
+def define_index(min_date: int, max_date: int, interval: int) -> int:
+    """
+    Return the index of a specific date
+    """
+    return int((max_date - min_date) / (interval * 60))
+
+
+def plot_parse_args(args: List[str]) -> Namespace:
+    """
+    Parse args passed to the script
+    :param args: Cli arguments
+    :return: args: Array with all arguments
+    """
+    arguments = Arguments(args, 'Graph profits')
+    arguments.scripts_options()
+    arguments.common_args_parser()
+    arguments.optimizer_shared_options(arguments.parser)
+    arguments.backtesting_options(arguments.parser)
+
+    return arguments.parse_args()
+
+
+def main(sysargv: List[str]) -> None:
+    """
+    This function will initiate the bot and start the trading loop.
+    :return: None
+    """
+    logger.info('Starting Plot Dataframe')
+    plot_profit(
+        plot_parse_args(sysargv)
+    )
+
+
 if __name__ == '__main__':
-    args = plot_parse_args(sys.argv[1:])
-    plot_profit(args)
+    main(sys.argv[1:])