Merge branch 'develop' into download_module

.dependabot/config.yml

@@ -0,0 +1,17 @@
+version: 1
+
+update_configs:
+  - package_manager: "python"
+    directory: "/"
+    update_schedule: "weekly"
+    allowed_updates:
+    - match:
+        update_type: "all"
+    target_branch: "develop"
+
+  - package_manager: "docker"
+    directory: "/"
+    update_schedule: "daily"
+    allowed_updates:
+    - match:
+        update_type: "all"

.pyup.yml

@@ -1,37 +0,0 @@
-# autogenerated pyup.io config file
-# see https://pyup.io/docs/configuration/ for all available options
-
-# configure updates globally
-# default: all
-# allowed: all, insecure, False
-update: all
-
-# configure dependency pinning globally
-# default: True
-# allowed: True, False
-pin: True
-
-# update schedule
-# default: empty
-# allowed: "every day", "every week", ..
-schedule: "every week"
-
-
-search: False
-# Specify requirement files by hand, default is empty
-# default: empty
-# allowed: list
-requirements:
-  - requirements.txt
-  - requirements-dev.txt
-  - requirements-plot.txt
-  - requirements-common.txt
-
-
-# configure the branch prefix the bot is using
-# default: pyup-
-branch_prefix: pyup/
-
-# allow to close stale PRs
-# default: True
-close_prs: True

docs/docker.md

@@ -26,6 +26,10 @@ To update the image, simply run the above commands again and restart your runnin
 
 Should you require additional libraries, please [build the image yourself](#build-your-own-docker-image).
 
+!!! Note Docker image update frequency
+    The official docker images with tags `master`, `develop` and `latest` are automatically rebuild once a week to keep the base image uptodate.
+    In addition to that, every merge to `develop` will trigger a rebuild for `develop` and `latest`.
+
 ### Prepare the configuration files
 
 Even though you will use docker, you'll still need some files from the github repository.

docs/strategy-customization.md

@@ -274,27 +274,24 @@ Please always check the mode of operation to select the correct method to get da
 
 #### Possible options for DataProvider
 
-- `available_pairs` - Property with tuples listing cached pairs with their intervals. (pair, interval)
+- `available_pairs` - Property with tuples listing cached pairs with their intervals (pair, interval).
-- `ohlcv(pair, ticker_interval)` - Currently cached ticker data for all pairs in the whitelist, returns DataFrame or empty DataFrame
+- `ohlcv(pair, ticker_interval)` - Currently cached ticker data for the pair, returns DataFrame or empty DataFrame.
-- `historic_ohlcv(pair, ticker_interval)` - Data stored on disk
+- `historic_ohlcv(pair, ticker_interval)` - Returns historical data stored on disk.
+- `get_pair_dataframe(pair, ticker_interval)` - This is a universal method, which returns either historical data (for backtesting) or cached live data (for the Dry-Run and Live-Run modes).
 - `runmode` - Property containing the current runmode.
 
-#### ohlcv / historic_ohlcv
+#### Example: fetch live ohlcv / historic data for the first informative pair
 
 ``` python
 if self.dp:
-    if self.dp.runmode in ('live', 'dry_run'):
+    inf_pair, inf_timeframe = self.informative_pairs()[0]
-        if (f'{self.stake_currency}/BTC', self.ticker_interval) in self.dp.available_pairs:
+    informative = self.dp.get_pair_dataframe(pair=inf_pair,
-            data_eth = self.dp.ohlcv(pair='{self.stake_currency}/BTC',
+                                             ticker_interval=inf_timeframe)
-                                     ticker_interval=self.ticker_interval)
-    else:
-        # Get historic ohlcv data (cached on disk).
-        history_eth = self.dp.historic_ohlcv(pair='{self.stake_currency}/BTC',
-                                             ticker_interval='1h')
 ```
 
 !!! Warning Warning about backtesting
-    Be carefull when using dataprovider in backtesting. `historic_ohlcv()` provides the full time-range in one go,
+    Be carefull when using dataprovider in backtesting. `historic_ohlcv()` (and `get_pair_dataframe()`
+    for the backtesting runmode) provides the full time-range in one go,
     so please be aware of it and make sure to not "look into the future" to avoid surprises when running in dry/live mode).
 
 !!! Warning Warning in hyperopt

freqtrade/configuration/__init__.py

@@ -1,3 +1,4 @@
 from freqtrade.configuration.arguments import Arguments  # noqa: F401
 from freqtrade.configuration.timerange import TimeRange  # noqa: F401
 from freqtrade.configuration.configuration import Configuration  # noqa: F401
+from freqtrade.configuration.config_validation import validate_config_consistency  # noqa: F401

freqtrade/configuration/config_validation.py

@@ -0,0 +1,102 @@
+import logging
+from typing import Any, Dict
+
+from jsonschema import Draft4Validator, validators
+from jsonschema.exceptions import ValidationError, best_match
+
+from freqtrade import constants, OperationalException
+
+
+logger = logging.getLogger(__name__)
+
+
+def _extend_validator(validator_class):
+    """
+    Extended validator for the Freqtrade configuration JSON Schema.
+    Currently it only handles defaults for subschemas.
+    """
+    validate_properties = validator_class.VALIDATORS['properties']
+
+    def set_defaults(validator, properties, instance, schema):
+        for prop, subschema in properties.items():
+            if 'default' in subschema:
+                instance.setdefault(prop, subschema['default'])
+
+        for error in validate_properties(
+            validator, properties, instance, schema,
+        ):
+            yield error
+
+    return validators.extend(
+        validator_class, {'properties': set_defaults}
+    )
+
+
+FreqtradeValidator = _extend_validator(Draft4Validator)
+
+
+def validate_config_schema(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:
+        FreqtradeValidator(constants.CONF_SCHEMA).validate(conf)
+        return conf
+    except ValidationError as e:
+        logger.critical(
+            f"Invalid configuration. See config.json.example. Reason: {e}"
+        )
+        raise ValidationError(
+            best_match(Draft4Validator(constants.CONF_SCHEMA).iter_errors(conf)).message
+        )
+
+
+def validate_config_consistency(conf: Dict[str, Any]) -> None:
+    """
+    Validate the configuration consistency.
+    Should be ran after loading both configuration and strategy,
+    since strategies can set certain configuration settings too.
+    :param conf: Config in JSON format
+    :return: Returns None if everything is ok, otherwise throw an OperationalException
+    """
+    # validating trailing stoploss
+    _validate_trailing_stoploss(conf)
+    _validate_edge(conf)
+
+
+def _validate_trailing_stoploss(conf: Dict[str, Any]) -> None:
+
+    # Skip if trailing stoploss is not activated
+    if not conf.get('trailing_stop', False):
+        return
+
+    tsl_positive = float(conf.get('trailing_stop_positive', 0))
+    tsl_offset = float(conf.get('trailing_stop_positive_offset', 0))
+    tsl_only_offset = conf.get('trailing_only_offset_is_reached', False)
+
+    if tsl_only_offset:
+        if tsl_positive == 0.0:
+            raise OperationalException(
+                f'The config trailing_only_offset_is_reached needs '
+                'trailing_stop_positive_offset to be more than 0 in your config.')
+    if tsl_positive > 0 and 0 < tsl_offset <= tsl_positive:
+        raise OperationalException(
+            f'The config trailing_stop_positive_offset needs '
+            'to be greater than trailing_stop_positive_offset in your config.')
+
+
+def _validate_edge(conf: Dict[str, Any]) -> None:
+    """
+    Edge and Dynamic whitelist should not both be enabled, since edge overrides dynamic whitelists.
+    """
+
+    if not conf.get('edge', {}).get('enabled'):
+        return
+
+    if conf.get('pairlist', {}).get('method') == 'VolumePairList':
+        raise OperationalException(
+            "Edge and VolumePairList are incompatible, "
+            "Edge will override whatever pairs VolumePairlist selects."
+        )

freqtrade/configuration/configuration.py

@@ -7,10 +7,11 @@ from argparse import Namespace
 from pathlib import Path
 from typing import Any, Callable, Dict, List, Optional
 
-from freqtrade import OperationalException, constants
+from freqtrade import constants, OperationalException
 from freqtrade.configuration.check_exchange import check_exchange
 from freqtrade.configuration.create_datadir import create_datadir
-from freqtrade.configuration.json_schema import validate_config_schema
+from freqtrade.configuration.config_validation import (validate_config_schema,
+                                                       validate_config_consistency)
 from freqtrade.configuration.load_config import load_config_file
 from freqtrade.loggers import setup_logging
 from freqtrade.misc import deep_merge_dicts, json_load
@@ -81,8 +82,6 @@ class Configuration(object):
         # Load all configs
         config: Dict[str, Any] = Configuration.from_files(self.args.config)
 
-        self._validate_config_consistency(config)
-
         self._process_common_options(config)
 
         self._process_optimize_options(config)
@@ -96,6 +95,8 @@ class Configuration(object):
 
         self._resolve_pairs_list(config)
 
+        validate_config_consistency(config)
+
         return config
 
     def _process_logging_options(self, config: Dict[str, Any]) -> None:
@@ -304,35 +305,6 @@ class Configuration(object):
 
         config.update({'runmode': self.runmode})
 
-    def _validate_config_consistency(self, conf: Dict[str, Any]) -> None:
-        """
-        Validate the configuration consistency
-        :param conf: Config in JSON format
-        :return: Returns None if everything is ok, otherwise throw an OperationalException
-        """
-        # validating trailing stoploss
-        self._validate_trailing_stoploss(conf)
-
-    def _validate_trailing_stoploss(self, conf: Dict[str, Any]) -> None:
-
-        # Skip if trailing stoploss is not activated
-        if not conf.get('trailing_stop', False):
-            return
-
-        tsl_positive = float(conf.get('trailing_stop_positive', 0))
-        tsl_offset = float(conf.get('trailing_stop_positive_offset', 0))
-        tsl_only_offset = conf.get('trailing_only_offset_is_reached', False)
-
-        if tsl_only_offset:
-            if tsl_positive == 0.0:
-                raise OperationalException(
-                    f'The config trailing_only_offset_is_reached needs '
-                    'trailing_stop_positive_offset to be more than 0 in your config.')
-        if tsl_positive > 0 and 0 < tsl_offset <= tsl_positive:
-            raise OperationalException(
-                f'The config trailing_stop_positive_offset needs '
-                'to be greater than trailing_stop_positive_offset in your config.')
-
     def _args_to_config(self, config: Dict[str, Any], argname: str,
                         logstring: str, logfun: Optional[Callable] = None,
                         deprecated_msg: Optional[str] = None) -> None:

freqtrade/configuration/json_schema.py

@@ -1,53 +0,0 @@
-import logging
-from typing import Any, Dict
-
-from jsonschema import Draft4Validator, validators
-from jsonschema.exceptions import ValidationError, best_match
-
-from freqtrade import constants
-
-
-logger = logging.getLogger(__name__)
-
-
-def _extend_validator(validator_class):
-    """
-    Extended validator for the Freqtrade configuration JSON Schema.
-    Currently it only handles defaults for subschemas.
-    """
-    validate_properties = validator_class.VALIDATORS['properties']
-
-    def set_defaults(validator, properties, instance, schema):
-        for prop, subschema in properties.items():
-            if 'default' in subschema:
-                instance.setdefault(prop, subschema['default'])
-
-        for error in validate_properties(
-            validator, properties, instance, schema,
-        ):
-            yield error
-
-    return validators.extend(
-        validator_class, {'properties': set_defaults}
-    )
-
-
-FreqtradeValidator = _extend_validator(Draft4Validator)
-
-
-def validate_config_schema(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:
-        FreqtradeValidator(constants.CONF_SCHEMA).validate(conf)
-        return conf
-    except ValidationError as e:
-        logger.critical(
-            f"Invalid configuration. See config.json.example. Reason: {e}"
-        )
-        raise ValidationError(
-            best_match(Draft4Validator(constants.CONF_SCHEMA).iter_errors(conf)).message
-        )

freqtrade/constants.py

@@ -5,7 +5,6 @@ bot constants
 """
 DEFAULT_CONFIG = 'config.json'
 DEFAULT_EXCHANGE = 'bittrex'
-DYNAMIC_WHITELIST = 20  # pairs
 PROCESS_THROTTLE_SECS = 5  # sec
 DEFAULT_TICKER_INTERVAL = 5  # min
 HYPEROPT_EPOCH = 100  # epochs

freqtrade/data/dataprovider.py

@@ -44,36 +44,49 @@ class DataProvider():
 
     def ohlcv(self, pair: str, ticker_interval: str = None, copy: bool = True) -> DataFrame:
         """
-        get ohlcv data for the given pair as DataFrame
+        Get ohlcv data for the given pair as DataFrame
-        Please check `available_pairs` to verify which pairs are currently cached.
+        Please use the `available_pairs` method to verify which pairs are currently cached.
         :param pair: pair to get the data for
-        :param ticker_interval: ticker_interval to get pair for
+        :param ticker_interval: ticker interval to get data for
-        :param copy: copy dataframe before returning.
+        :param copy: copy dataframe before returning if True.
-                     Use false only for RO operations (where the dataframe is not modified)
+                     Use False only for read-only operations (where the dataframe is not modified)
         """
         if self.runmode in (RunMode.DRY_RUN, RunMode.LIVE):
-            if ticker_interval:
+            return self._exchange.klines((pair, ticker_interval or self._config['ticker_interval']),
-                pairtick = (pair, ticker_interval)
+                                         copy=copy)
-            else:
-                pairtick = (pair, self._config['ticker_interval'])
-
-            return self._exchange.klines(pairtick, copy=copy)
         else:
             return DataFrame()
 
-    def historic_ohlcv(self, pair: str, ticker_interval: str) -> DataFrame:
+    def historic_ohlcv(self, pair: str, ticker_interval: str = None) -> DataFrame:
         """
-        get stored historic ohlcv data
+        Get stored historic ohlcv data
         :param pair: pair to get the data for
-        :param ticker_interval: ticker_interval to get pair for
+        :param ticker_interval: ticker interval to get data for
         """
         return load_pair_history(pair=pair,
-                                 ticker_interval=ticker_interval,
+                                 ticker_interval=ticker_interval or self._config['ticker_interval'],
                                  refresh_pairs=False,
                                  datadir=Path(self._config['datadir']) if self._config.get(
                                      'datadir') else None
                                  )
 
+    def get_pair_dataframe(self, pair: str, ticker_interval: str = None) -> DataFrame:
+        """
+        Return pair ohlcv data, either live or cached historical -- depending
+        on the runmode.
+        :param pair: pair to get the data for
+        :param ticker_interval: ticker interval to get data for
+        """
+        if self.runmode in (RunMode.DRY_RUN, RunMode.LIVE):
+            # Get live ohlcv data.
+            data = self.ohlcv(pair=pair, ticker_interval=ticker_interval)
+        else:
+            # Get historic ohlcv data (cached on disk).
+            data = self.historic_ohlcv(pair=pair, ticker_interval=ticker_interval)
+        if len(data) == 0:
+            logger.warning(f"No data found for ({pair}, {ticker_interval}).")
+        return data
+
     def ticker(self, pair: str):
         """
         Return last ticker data

freqtrade/data/history.py

@@ -43,7 +43,7 @@ def trim_tickerlist(tickerlist: List[Dict], timerange: TimeRange) -> List[Dict]:
             start_index += 1
 
     if timerange.stoptype == 'line':
-        start_index = len(tickerlist) + timerange.stopts
+        start_index = max(len(tickerlist) + timerange.stopts, 0)
     if timerange.stoptype == 'index':
         stop_index = timerange.stopts
     elif timerange.stoptype == 'date':
@@ -57,10 +57,8 @@ def trim_tickerlist(tickerlist: List[Dict], timerange: TimeRange) -> List[Dict]:
     return tickerlist[start_index:stop_index]
 
 
-def load_tickerdata_file(
+def load_tickerdata_file(datadir: Optional[Path], pair: str, ticker_interval: str,
-        datadir: Optional[Path], pair: str,
+                         timerange: Optional[TimeRange] = None) -> Optional[list]:
-        ticker_interval: str,
-        timerange: Optional[TimeRange] = None) -> Optional[list]:
     """
     Load a pair from file, either .json.gz or .json
     :return: tickerlist or None if unsuccesful
@@ -68,13 +66,22 @@ def load_tickerdata_file(
     filename = pair_data_filename(datadir, pair, ticker_interval)
     pairdata = misc.file_load_json(filename)
     if not pairdata:
-        return None
+        return []
 
     if timerange:
         pairdata = trim_tickerlist(pairdata, timerange)
     return pairdata
 
 
+def store_tickerdata_file(datadir: Optional[Path], pair: str,
+                          ticker_interval: str, data: list, is_zip: bool = False):
+    """
+    Stores tickerdata to file
+    """
+    filename = pair_data_filename(datadir, pair, ticker_interval)
+    misc.file_dump_json(filename, data, is_zip=is_zip)
+
+
 def load_pair_history(pair: str,
                       ticker_interval: str,
                       datadir: Optional[Path],
@@ -177,11 +184,14 @@ def pair_data_filename(datadir: Optional[Path], pair: str, ticker_interval: str)
     return filename
 
 
-def load_cached_data_for_updating(filename: Path, ticker_interval: str,
+def load_cached_data_for_updating(datadir: Optional[Path], pair: str, ticker_interval: str,
                                   timerange: Optional[TimeRange]) -> Tuple[List[Any],
                                                                            Optional[int]]:
     """
-    Load cached data and choose what part of the data should be updated
+    Load cached data to download more data.
+    If timerange is passed in, checks wether data from an before the stored data will be downloaded.
+    If that's the case than what's available should be completely overwritten.
+    Only used by download_pair_history().
     """
 
     since_ms = None
@@ -195,12 +205,11 @@ def load_cached_data_for_updating(filename: Path, ticker_interval: str,
             since_ms = arrow.utcnow().shift(minutes=num_minutes).timestamp * 1000
 
     # read the cached file
-    if filename.is_file():
+    # Intentionally don't pass timerange in - since we need to load the full dataset.
-        with open(filename, "rt") as file:
+    data = load_tickerdata_file(datadir, pair, ticker_interval)
-            data = misc.json_load(file)
+    # remove the last item, could be incomplete candle
-        # remove the last item, could be incomplete candle
+    if data:
-        if data:
+        data.pop()
-            data.pop()
     else:
         data = []
 
@@ -239,14 +248,12 @@ def download_pair_history(datadir: Optional[Path],
         )
 
     try:
-        filename = pair_data_filename(datadir, pair, ticker_interval)
-
         logger.info(
             f'Download history data for pair: "{pair}", interval: {ticker_interval} '
             f'and store in {datadir}.'
         )
 
-        data, since_ms = load_cached_data_for_updating(filename, ticker_interval, timerange)
+        data, since_ms = load_cached_data_for_updating(datadir, pair, ticker_interval, timerange)
 
         logger.debug("Current Start: %s", misc.format_ms_time(data[1][0]) if data else 'None')
         logger.debug("Current End: %s", misc.format_ms_time(data[-1][0]) if data else 'None')
@@ -262,7 +269,7 @@ def download_pair_history(datadir: Optional[Path],
         logger.debug("New Start: %s", misc.format_ms_time(data[0][0]))
         logger.debug("New End: %s", misc.format_ms_time(data[-1][0]))
 
-        misc.file_dump_json(filename, data)
+        store_tickerdata_file(datadir, pair, ticker_interval, data=data)
         return True
 
     except Exception as e:

freqtrade/exchange/exchange.py

@@ -408,12 +408,12 @@ class Exchange(object):
         except ccxt.InsufficientFunds as e:
             raise DependencyException(
                 f'Insufficient funds to create {ordertype} {side} order on market {pair}.'
-                f'Tried to {side} amount {amount} at rate {rate} (total {rate * amount}).'
+                f'Tried to {side} amount {amount} at rate {rate}.'
                 f'Message: {e}') from e
         except ccxt.InvalidOrder as e:
             raise DependencyException(
                 f'Could not create {ordertype} {side} order on market {pair}.'
-                f'Tried to {side} amount {amount} at rate {rate} (total {rate * amount}).'
+                f'Tried to {side} amount {amount} at rate {rate}.'
                 f'Message: {e}') from e
         except (ccxt.NetworkError, ccxt.ExchangeError) as e:
             raise TemporaryError(
@@ -472,7 +472,7 @@ class Exchange(object):
 
         order = self.create_order(pair, ordertype, 'sell', amount, rate, params)
         logger.info('stoploss limit order added for %s. '
-                    'stop price: %s. limit: %s' % (pair, stop_price, rate))
+                    'stop price: %s. limit: %s', pair, stop_price, rate)
         return order
 
     @retrier
@@ -696,8 +696,13 @@ class Exchange(object):
     @retrier
     def get_order(self, order_id: str, pair: str) -> Dict:
         if self._config['dry_run']:
-            order = self._dry_run_open_orders[order_id]
+            try:
-            return order
+                order = self._dry_run_open_orders[order_id]
+                return order
+            except KeyError as e:
+                # Gracefully handle errors with dry-run orders.
+                raise InvalidOrderException(
+                    f'Tried to get an invalid dry-run-order (id: {order_id}). Message: {e}') from e
         try:
             return self._api.fetch_order(order_id, pair)
         except ccxt.InvalidOrder as e:

freqtrade/freqtradebot.py

@@ -16,6 +16,7 @@ from freqtrade import (DependencyException, OperationalException, InvalidOrderEx
 from freqtrade.data.converter import order_book_to_dataframe
 from freqtrade.data.dataprovider import DataProvider
 from freqtrade.edge import Edge
+from freqtrade.configuration import validate_config_consistency
 from freqtrade.exchange import timeframe_to_minutes, timeframe_to_next_date
 from freqtrade.persistence import Trade
 from freqtrade.rpc import RPCManager, RPCMessageType
@@ -51,6 +52,9 @@ class FreqtradeBot(object):
 
         self.strategy: IStrategy = StrategyResolver(self.config).strategy
 
+        # Check config consistency here since strategies can set certain options
+        validate_config_consistency(config)
+
         self.rpc: RPCManager = RPCManager(self)
 
         self.exchange = ExchangeResolver(self.config['exchange']['name'], self.config).exchange

freqtrade/misc.py

@@ -5,11 +5,11 @@ import gzip
 import logging
 import re
 from datetime import datetime
+from pathlib import Path
 
 import numpy as np
 import rapidjson
 
-
 logger = logging.getLogger(__name__)
 
 
@@ -39,7 +39,7 @@ def datesarray_to_datetimearray(dates: np.ndarray) -> np.ndarray:
     return dates.dt.to_pydatetime()
 
 
-def file_dump_json(filename, data, is_zip=False) -> None:
+def file_dump_json(filename: Path, data, is_zip=False) -> None:
     """
     Dump JSON data into a file
     :param filename: file to create
@@ -49,8 +49,8 @@ def file_dump_json(filename, data, is_zip=False) -> None:
     logger.info(f'dumping json to "{filename}"')
 
     if is_zip:
-        if not filename.endswith('.gz'):
+        if filename.suffix != '.gz':
-            filename = filename + '.gz'
+            filename = filename.with_suffix('.gz')
         with gzip.open(filename, 'w') as fp:
             rapidjson.dump(data, fp, default=str, number_mode=rapidjson.NM_NATIVE)
     else:

freqtrade/optimize/backtesting.py

@@ -190,7 +190,7 @@ class Backtesting(object):
         return tabulate(tabular_data, headers=headers,  # type: ignore
                         floatfmt=floatfmt, tablefmt="pipe")
 
-    def _store_backtest_result(self, recordfilename: str, results: DataFrame,
+    def _store_backtest_result(self, recordfilename: Path, results: DataFrame,
                                strategyname: Optional[str] = None) -> None:
 
         records = [(t.pair, t.profit_percent, t.open_time.timestamp(),
@@ -201,10 +201,10 @@ class Backtesting(object):
         if records:
             if strategyname:
                 # Inject strategyname to filename
-                recname = Path(recordfilename)
+                recordfilename = Path.joinpath(
-                recordfilename = str(Path.joinpath(
+                    recordfilename.parent,
-                    recname.parent, f'{recname.stem}-{strategyname}').with_suffix(recname.suffix))
+                    f'{recordfilename.stem}-{strategyname}').with_suffix(recordfilename.suffix)
-            logger.info('Dumping backtest results to %s', recordfilename)
+            logger.info(f'Dumping backtest results to {recordfilename}')
             file_dump_json(recordfilename, records)
 
     def _get_ticker_list(self, processed) -> Dict[str, DataFrame]:
@@ -458,7 +458,7 @@ class Backtesting(object):
         for strategy, results in all_results.items():
 
             if self.config.get('export', False):
-                self._store_backtest_result(self.config['exportfilename'], results,
+                self._store_backtest_result(Path(self.config['exportfilename']), results,
                                             strategy if len(self.strategylist) > 1 else None)
 
             print(f"Result for strategy {strategy}")

freqtrade/pairlist/VolumePairList.py

@@ -55,7 +55,6 @@ class VolumePairList(IPairList):
         # Generate dynamic whitelist
         self._whitelist = self._gen_pair_whitelist(
             self._config['stake_currency'], self._sort_key)[:self._number_pairs]
-        logger.info(f"Searching pairs: {self._whitelist}")
 
     @cached(TTLCache(maxsize=1, ttl=1800))
     def _gen_pair_whitelist(self, base_currency: str, key: str) -> List[str]:
@@ -92,4 +91,6 @@ class VolumePairList(IPairList):
                     valid_tickers.remove(t)
 
         pairs = [s['symbol'] for s in valid_tickers]
+        logger.info(f"Searching pairs: {self._whitelist}")
+
         return pairs

freqtrade/resolvers/iresolver.py

@@ -29,7 +29,8 @@ class IResolver(object):
         """
 
         # Generate spec based on absolute path
-        spec = importlib.util.spec_from_file_location('unknown', str(module_path))
+        # Pass object_name as first argument to have logging print a reasonable name.
+        spec = importlib.util.spec_from_file_location(object_name, str(module_path))
         module = importlib.util.module_from_spec(spec)
         try:
             spec.loader.exec_module(module)  # type: ignore # importlib does not use typehints

freqtrade/tests/data/test_dataprovider.py

@@ -13,6 +13,7 @@ def test_ohlcv(mocker, default_conf, ticker_history):
     exchange = get_patched_exchange(mocker, default_conf)
     exchange._klines[("XRP/BTC", ticker_interval)] = ticker_history
     exchange._klines[("UNITTEST/BTC", ticker_interval)] = ticker_history
+
     dp = DataProvider(default_conf, exchange)
     assert dp.runmode == RunMode.DRY_RUN
     assert ticker_history.equals(dp.ohlcv("UNITTEST/BTC", ticker_interval))
@@ -37,11 +38,9 @@ def test_ohlcv(mocker, default_conf, ticker_history):
 
 
 def test_historic_ohlcv(mocker, default_conf, ticker_history):
-
     historymock = MagicMock(return_value=ticker_history)
     mocker.patch("freqtrade.data.dataprovider.load_pair_history", historymock)
 
-    # exchange = get_patched_exchange(mocker, default_conf)
     dp = DataProvider(default_conf, None)
     data = dp.historic_ohlcv("UNITTEST/BTC", "5m")
     assert isinstance(data, DataFrame)
@@ -51,14 +50,47 @@ def test_historic_ohlcv(mocker, default_conf, ticker_history):
     assert historymock.call_args_list[0][1]["ticker_interval"] == "5m"
 
 
+def test_get_pair_dataframe(mocker, default_conf, ticker_history):
+    default_conf["runmode"] = RunMode.DRY_RUN
+    ticker_interval = default_conf["ticker_interval"]
+    exchange = get_patched_exchange(mocker, default_conf)
+    exchange._klines[("XRP/BTC", ticker_interval)] = ticker_history
+    exchange._klines[("UNITTEST/BTC", ticker_interval)] = ticker_history
+
+    dp = DataProvider(default_conf, exchange)
+    assert dp.runmode == RunMode.DRY_RUN
+    assert ticker_history.equals(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval))
+    assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval), DataFrame)
+    assert dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval) is not ticker_history
+    assert not dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval).empty
+    assert dp.get_pair_dataframe("NONESENSE/AAA", ticker_interval).empty
+
+    # Test with and without parameter
+    assert dp.get_pair_dataframe("UNITTEST/BTC",
+                                 ticker_interval).equals(dp.get_pair_dataframe("UNITTEST/BTC"))
+
+    default_conf["runmode"] = RunMode.LIVE
+    dp = DataProvider(default_conf, exchange)
+    assert dp.runmode == RunMode.LIVE
+    assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval), DataFrame)
+    assert dp.get_pair_dataframe("NONESENSE/AAA", ticker_interval).empty
+
+    historymock = MagicMock(return_value=ticker_history)
+    mocker.patch("freqtrade.data.dataprovider.load_pair_history", historymock)
+    default_conf["runmode"] = RunMode.BACKTEST
+    dp = DataProvider(default_conf, exchange)
+    assert dp.runmode == RunMode.BACKTEST
+    assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval), DataFrame)
+    # assert dp.get_pair_dataframe("NONESENSE/AAA", ticker_interval).empty
+
+
 def test_available_pairs(mocker, default_conf, ticker_history):
     exchange = get_patched_exchange(mocker, default_conf)
-
     ticker_interval = default_conf["ticker_interval"]
     exchange._klines[("XRP/BTC", ticker_interval)] = ticker_history
     exchange._klines[("UNITTEST/BTC", ticker_interval)] = ticker_history
-    dp = DataProvider(default_conf, exchange)
 
+    dp = DataProvider(default_conf, exchange)
     assert len(dp.available_pairs) == 2
     assert dp.available_pairs == [
         ("XRP/BTC", ticker_interval),

freqtrade/tests/data/test_history.py

@@ -178,16 +178,13 @@ def test_load_cached_data_for_updating(mocker) -> None:
     # timeframe starts earlier than the cached data
     # should fully update data
     timerange = TimeRange('date', None, test_data[0][0] / 1000 - 1, 0)
-    data, start_ts = load_cached_data_for_updating(test_filename,
+    data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m', timerange)
-                                                   '1m',
-                                                   timerange)
     assert data == []
     assert start_ts == test_data[0][0] - 1000
 
     # same with 'line' timeframe
     num_lines = (test_data[-1][0] - test_data[1][0]) / 1000 / 60 + 120
-    data, start_ts = load_cached_data_for_updating(test_filename,
+    data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m',
-                                                   '1m',
                                                    TimeRange(None, 'line', 0, -num_lines))
     assert data == []
     assert start_ts < test_data[0][0] - 1
@@ -195,36 +192,29 @@ def test_load_cached_data_for_updating(mocker) -> None:
     # timeframe starts in the center of the cached data
     # should return the chached data w/o the last item
     timerange = TimeRange('date', None, test_data[0][0] / 1000 + 1, 0)
-    data, start_ts = load_cached_data_for_updating(test_filename,
+    data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m', timerange)
-                                                   '1m',
-                                                   timerange)
     assert data == test_data[:-1]
     assert test_data[-2][0] < start_ts < test_data[-1][0]
 
     # same with 'line' timeframe
     num_lines = (test_data[-1][0] - test_data[1][0]) / 1000 / 60 + 30
     timerange = TimeRange(None, 'line', 0, -num_lines)
-    data, start_ts = load_cached_data_for_updating(test_filename,
+    data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m', timerange)
-                                                   '1m',
-                                                   timerange)
     assert data == test_data[:-1]
     assert test_data[-2][0] < start_ts < test_data[-1][0]
 
     # timeframe starts after the chached data
     # should return the chached data w/o the last item
     timerange = TimeRange('date', None, test_data[-1][0] / 1000 + 1, 0)
-    data, start_ts = load_cached_data_for_updating(test_filename,
+    data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m', timerange)
-                                                   '1m',
-                                                   timerange)
     assert data == test_data[:-1]
     assert test_data[-2][0] < start_ts < test_data[-1][0]
 
-    # same with 'line' timeframe
+    # Try loading last 30 lines.
+    # Not supported by load_cached_data_for_updating, we always need to get the full data.
     num_lines = 30
     timerange = TimeRange(None, 'line', 0, -num_lines)
-    data, start_ts = load_cached_data_for_updating(test_filename,
+    data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m', timerange)
-                                                   '1m',
-                                                   timerange)
     assert data == test_data[:-1]
     assert test_data[-2][0] < start_ts < test_data[-1][0]
 
@@ -232,35 +222,27 @@ def test_load_cached_data_for_updating(mocker) -> None:
     # should return the chached data w/o the last item
     num_lines = 30
     timerange = TimeRange(None, 'line', 0, -num_lines)
-    data, start_ts = load_cached_data_for_updating(test_filename,
+    data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m', timerange)
-                                                   '1m',
-                                                   timerange)
     assert data == test_data[:-1]
     assert test_data[-2][0] < start_ts < test_data[-1][0]
 
     # no datafile exist
     # should return timestamp start time
     timerange = TimeRange('date', None, now_ts - 10000, 0)
-    data, start_ts = load_cached_data_for_updating(test_filename.with_name('unexist'),
+    data, start_ts = load_cached_data_for_updating(datadir, 'NONEXIST/BTC', '1m', timerange)
-                                                   '1m',
-                                                   timerange)
     assert data == []
     assert start_ts == (now_ts - 10000) * 1000
 
     # same with 'line' timeframe
     num_lines = 30
     timerange = TimeRange(None, 'line', 0, -num_lines)
-    data, start_ts = load_cached_data_for_updating(test_filename.with_name('unexist'),
+    data, start_ts = load_cached_data_for_updating(datadir, 'NONEXIST/BTC', '1m', timerange)
-                                                   '1m',
-                                                   timerange)
     assert data == []
     assert start_ts == (now_ts - num_lines * 60) * 1000
 
     # no datafile exist, no timeframe is set
     # should return an empty array and None
-    data, start_ts = load_cached_data_for_updating(test_filename.with_name('unexist'),
+    data, start_ts = load_cached_data_for_updating(datadir, 'NONEXIST/BTC', '1m', None)
-                                                   '1m',
-                                                   None)
     assert data == []
     assert start_ts is None
 

freqtrade/tests/exchange/test_exchange.py

@@ -656,7 +656,13 @@ def test_buy_prod(default_conf, mocker, exchange_name):
     with pytest.raises(DependencyException):
         api_mock.create_order = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
         exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
-        exchange.buy(pair='ETH/BTC', ordertype=order_type,
+        exchange.buy(pair='ETH/BTC', ordertype='limit',
+                     amount=1, rate=200, time_in_force=time_in_force)
+
+    with pytest.raises(DependencyException):
+        api_mock.create_order = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
+        exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
+        exchange.buy(pair='ETH/BTC', ordertype='market',
                      amount=1, rate=200, time_in_force=time_in_force)
 
     with pytest.raises(TemporaryError):
@@ -779,7 +785,13 @@ def test_sell_prod(default_conf, mocker, exchange_name):
     with pytest.raises(DependencyException):
         api_mock.create_order = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
         exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
-        exchange.sell(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
+        exchange.sell(pair='ETH/BTC', ordertype='limit', amount=1, rate=200)
+
+    # Market orders don't require price, so the behaviour is slightly different
+    with pytest.raises(DependencyException):
+        api_mock.create_order = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
+        exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
+        exchange.sell(pair='ETH/BTC', ordertype='market', amount=1, rate=200)
 
     with pytest.raises(TemporaryError):
         api_mock.create_order = MagicMock(side_effect=ccxt.NetworkError("No Connection"))
@@ -1328,6 +1340,9 @@ def test_get_order(default_conf, mocker, exchange_name):
     print(exchange.get_order('X', 'TKN/BTC'))
     assert exchange.get_order('X', 'TKN/BTC').myid == 123
 
+    with pytest.raises(InvalidOrderException, match=r'Tried to get an invalid dry-run-order.*'):
+        exchange.get_order('Y', 'TKN/BTC')
+
     default_conf['dry_run'] = False
     api_mock = MagicMock()
     api_mock.fetch_order = MagicMock(return_value=456)

freqtrade/tests/optimize/test_backtesting.py

@@ -2,6 +2,7 @@
 
 import math
 import random
+from pathlib import Path
 from unittest.mock import MagicMock
 
 import numpy as np
@@ -785,10 +786,10 @@ def test_backtest_record(default_conf, fee, mocker):
     # reset test to test with strategy name
     names = []
     records = []
-    backtesting._store_backtest_result("backtest-result.json", results, "DefStrat")
+    backtesting._store_backtest_result(Path("backtest-result.json"), results, "DefStrat")
     assert len(results) == 4
     # Assert file_dump_json was only called once
-    assert names == ['backtest-result-DefStrat.json']
+    assert names == [Path('backtest-result-DefStrat.json')]
     records = records[0]
     # Ensure records are of correct type
     assert len(records) == 4

freqtrade/tests/test_configuration.py

@@ -2,7 +2,6 @@
 import json
 import logging
 import warnings
-from argparse import Namespace
 from copy import deepcopy
 from pathlib import Path
 from unittest.mock import MagicMock
@@ -11,10 +10,10 @@ import pytest
 from jsonschema import Draft4Validator, ValidationError, validate
 
 from freqtrade import OperationalException, constants
-from freqtrade.configuration import Arguments, Configuration
+from freqtrade.configuration import Arguments, Configuration, validate_config_consistency
 from freqtrade.configuration.check_exchange import check_exchange
+from freqtrade.configuration.config_validation import validate_config_schema
 from freqtrade.configuration.create_datadir import create_datadir
-from freqtrade.configuration.json_schema import validate_config_schema
 from freqtrade.configuration.load_config import load_config_file
 from freqtrade.constants import DEFAULT_DB_DRYRUN_URL, DEFAULT_DB_PROD_URL
 from freqtrade.loggers import _set_loggers
@@ -625,21 +624,34 @@ def test_validate_tsl(default_conf):
     with pytest.raises(OperationalException,
                        match=r'The config trailing_only_offset_is_reached needs '
                        'trailing_stop_positive_offset to be more than 0 in your config.'):
-        configuration = Configuration(Namespace())
+        validate_config_consistency(default_conf)
-        configuration._validate_config_consistency(default_conf)
 
     default_conf['trailing_stop_positive_offset'] = 0.01
     default_conf['trailing_stop_positive'] = 0.015
     with pytest.raises(OperationalException,
                        match=r'The config trailing_stop_positive_offset needs '
                        'to be greater than trailing_stop_positive_offset in your config.'):
-        configuration = Configuration(Namespace())
+        validate_config_consistency(default_conf)
-        configuration._validate_config_consistency(default_conf)
 
     default_conf['trailing_stop_positive'] = 0.01
     default_conf['trailing_stop_positive_offset'] = 0.015
-    Configuration(Namespace())
+    validate_config_consistency(default_conf)
-    configuration._validate_config_consistency(default_conf)
+
+
+def test_validate_edge(edge_conf):
+    edge_conf.update({"pairlist": {
+        "method": "VolumePairList",
+    }})
+
+    with pytest.raises(OperationalException,
+                       match="Edge and VolumePairList are incompatible, "
+                       "Edge will override whatever pairs VolumePairlist selects."):
+        validate_config_consistency(edge_conf)
+
+    edge_conf.update({"pairlist": {
+        "method": "StaticPairList",
+    }})
+    validate_config_consistency(edge_conf)
 
 
 def test_load_config_test_comments() -> None:

freqtrade/tests/test_misc.py

@@ -1,6 +1,7 @@
 # pragma pylint: disable=missing-docstring,C0103
 
 import datetime
+from pathlib import Path
 from unittest.mock import MagicMock
 
 from freqtrade.data.converter import parse_ticker_dataframe
@@ -34,12 +35,12 @@ def test_datesarray_to_datetimearray(ticker_history_list):
 def test_file_dump_json(mocker) -> None:
     file_open = mocker.patch('freqtrade.misc.open', MagicMock())
     json_dump = mocker.patch('rapidjson.dump', MagicMock())
-    file_dump_json('somefile', [1, 2, 3])
+    file_dump_json(Path('somefile'), [1, 2, 3])
     assert file_open.call_count == 1
     assert json_dump.call_count == 1
     file_open = mocker.patch('freqtrade.misc.gzip.open', MagicMock())
     json_dump = mocker.patch('rapidjson.dump', MagicMock())
-    file_dump_json('somefile', [1, 2, 3], True)
+    file_dump_json(Path('somefile'), [1, 2, 3], True)
     assert file_open.call_count == 1
     assert json_dump.call_count == 1
 

requirements-common.txt

@@ -1,7 +1,7 @@
 # requirements without requirements installable via conda
 # mainly used for Raspberry pi installs
-ccxt==1.18.1043
+ccxt==1.18.1068
-SQLAlchemy==1.3.6
+SQLAlchemy==1.3.7
 python-telegram-bot==11.1.0
 arrow==0.14.5
 cachetools==3.1.1

requirements-dev.txt

@@ -7,7 +7,7 @@ flake8==3.7.8
 flake8-type-annotations==0.1.0
 flake8-tidy-imports==2.0.0
 mypy==0.720
-pytest==5.0.1
+pytest==5.1.0
 pytest-asyncio==0.10.0
 pytest-cov==2.7.1
 pytest-mock==1.10.4