Merge branch 'develop' into feature/advanced-status-command

.coveragerc

@@ -1,2 +1,4 @@
 [run]
-omit = freqtrade/tests/*
+omit =
+    freqtrade/tests/*
+    freqtrade/vendor/*

.pylintrc

@@ -1,2 +1,3 @@
 [BASIC]
 good-names=logger
+ignore=vendor

.travis.yml

@@ -4,6 +4,9 @@ os:
 language: python
 python:
 - 3.6
+env:
+  - BACKTEST=
+  - BACKTEST=true
 addons:
   apt:
     packages:

MANIFEST.in

@@ -1,7 +1,5 @@
 include LICENSE
 include README.md
 include config.json.example
-include freqtrade/exchange/*.py
-include freqtrade/rpc/*.py
-include freqtrade/tests/*.py
+recursive-include freqtrade *.py
 include freqtrade/tests/testdata/*.json

README.md

@@ -16,7 +16,7 @@ and enter the telegram `token` and your `chat_id` in `config.json`
 
 Persistence is achieved through sqlite.
 
-#### Telegram RPC commands:
+### Telegram RPC commands:
 * /start: Starts the trader
 * /stop: Stops the trader
 * /status [table]: Lists all open trades
@@ -25,7 +25,7 @@ Persistence is achieved through sqlite.
 * /forcesell <trade_id>: Instantly sells the given trade (Ignoring `minimum_roi`).
 * /performance: Show performance of each finished trade grouped by pair
 
-#### Config
+### Config
 `minimal_roi` is a JSON object where the key is a duration
 in minutes and the value is the minimum ROI in percent.
 See the example below:
@@ -54,12 +54,18 @@ end up paying more then would probably have been necessary.
 The other values should be self-explanatory,
 if not feel free to raise a github issue.
 
-#### Prerequisites
+### Prerequisites
 * python3.6
 * sqlite
 * [TA-lib](https://github.com/mrjbq7/ta-lib#dependencies) binaries
 
-#### Install
+### Install
+
+#### Arch Linux
+
+Use your favorite AUR helper and install `python-freqtrade-git`.
+
+#### Manually
 
 `master` branch contains the latest stable release.
 
@@ -76,18 +82,9 @@ $ pip install -e .
 $ ./freqtrade/main.py
 ```
 
-There is also an [article](https://www.sales4k.com/blockchain/high-frequency-trading-bot-tutorial/) about how to setup the bot (thanks [@gurghet](https://github.com/gurghet)).
+There is also an [article](https://www.sales4k.com/blockchain/high-frequency-trading-bot-tutorial/) about how to setup the bot (thanks [@gurghet](https://github.com/gurghet)).*
 
-#### Execute tests
-
-```
-$ pytest
-```
-This will by default skip the slow running backtest set. To run backtest set:
-
-```
-$ BACKTEST=true pytest -s freqtrade/tests/test_backtesting.py
-```
+\* *Note:* that article was written for an earlier version, so it may be outdated
 
 #### Docker
 
@@ -137,7 +134,18 @@ $ docker start freqtrade
 You do not need to rebuild the image for configuration
 changes, it will suffice to edit `config.json` and restart the container.
 
-#### Contributing
+### Execute tests
+
+```
+$ pytest
+```
+This will by default skip the slow running backtest set. To run backtest set:
+
+```
+$ BACKTEST=true pytest -s freqtrade/tests/test_backtesting.py
+```
+
+### Contributing
 
 Feel like our bot is missing a feature? We welcome your pull requests! Few pointers for contributions:
 

freqtrade/__init__.py

@@ -1,3 +1,3 @@
-__version__ = '0.12.0'
+__version__ = '0.13.0'
 
 from . import main

freqtrade/analyze.py

@@ -5,10 +5,10 @@ from datetime import timedelta
 import arrow
 import talib.abstract as ta
 from pandas import DataFrame, to_datetime
-from qtpylib.indicators import awesome_oscillator, crossed_above
 
 from freqtrade import exchange
 from freqtrade.exchange import Bittrex, get_ticker_history
+from freqtrade.vendor.qtpylib.indicators import awesome_oscillator
 
 logging.basicConfig(level=logging.DEBUG,
                     format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
@@ -17,8 +17,8 @@ logger = logging.getLogger(__name__)
 
 def parse_ticker_dataframe(ticker: list) -> DataFrame:
     """
-    Analyses the trend for the given pair
-    :param pair: pair as str in format BTC_ETH or BTC-ETH
+    Analyses the trend for the given ticker history
+    :param ticker: See exchange.get_ticker_history
     :return: DataFrame
     """
     df = DataFrame(ticker) \
@@ -43,8 +43,17 @@ def populate_indicators(dataframe: DataFrame) -> DataFrame:
     dataframe['tema'] = ta.TEMA(dataframe, timeperiod=9)
     dataframe['mfi'] = ta.MFI(dataframe)
     dataframe['cci'] = ta.CCI(dataframe)
+    dataframe['rsi'] = ta.RSI(dataframe)
+    dataframe['mom'] = ta.MOM(dataframe)
+    dataframe['ema5'] = ta.EMA(dataframe, timeperiod=5)
+    dataframe['ema10'] = ta.EMA(dataframe, timeperiod=10)
+    dataframe['ema50'] = ta.EMA(dataframe, timeperiod=50)
+    dataframe['ema100'] = ta.EMA(dataframe, timeperiod=100)
     dataframe['ao'] = awesome_oscillator(dataframe)
-
+    macd = ta.MACD(dataframe)
+    dataframe['macd'] = macd['macd']
+    dataframe['macdsignal'] = macd['macdsignal']
+    dataframe['macdhist'] = macd['macdhist']
     return dataframe
 
 
@@ -152,7 +161,7 @@ def plot_dataframe(dataframe: DataFrame, pair: str) -> None:
 if __name__ == '__main__':
     # Install PYQT5==5.9 manually if you want to test this helper function
     while True:
-        exchange.EXCHANGE = Bittrex({'key': '', 'secret': ''})
+        exchange._API = Bittrex({'key': '', 'secret': ''})
         test_pair = 'BTC_ETH'
         # for pair in ['BTC_ANT', 'BTC_ETH', 'BTC_GNT', 'BTC_ETC']:
         #     get_buy_signal(pair)

freqtrade/exchange/__init__.py

@@ -1,6 +1,6 @@
 import enum
 import logging
-from typing import List
+from typing import List, Dict
 
 import arrow
 
@@ -10,7 +10,7 @@ from freqtrade.exchange.interface import Exchange
 logger = logging.getLogger(__name__)
 
 # Current selected exchange
-EXCHANGE: Exchange = None
+_API: Exchange = None
 _CONF: dict = {}
 
 
@@ -29,7 +29,7 @@ def init(config: dict) -> None:
     :param config: config to use
     :return: None
     """
-    global _CONF, EXCHANGE
+    global _CONF, _API
 
     _CONF.update(config)
 
@@ -45,7 +45,7 @@ def init(config: dict) -> None:
     except KeyError:
         raise RuntimeError('Exchange {} is not supported'.format(name))
 
-    EXCHANGE = exchange_class(exchange_config)
+    _API = exchange_class(exchange_config)
 
     # Check if all pairs are available
     validate_pairs(config['exchange']['pair_whitelist'])
@@ -58,58 +58,86 @@ def validate_pairs(pairs: List[str]) -> None:
     :param pairs: list of pairs
     :return: None
     """
-    markets = EXCHANGE.get_markets()
+    markets = _API.get_markets()
     for pair in pairs:
         if pair not in markets:
-            raise RuntimeError('Pair {} is not available at {}'.format(pair, EXCHANGE.name.lower()))
+            raise RuntimeError('Pair {} is not available at {}'.format(pair, _API.name.lower()))
 
 
 def buy(pair: str, rate: float, amount: float) -> str:
     if _CONF['dry_run']:
-        return 'dry_run'
+        return 'dry_run_buy'
 
-    return EXCHANGE.buy(pair, rate, amount)
+    return _API.buy(pair, rate, amount)
 
 
 def sell(pair: str, rate: float, amount: float) -> str:
     if _CONF['dry_run']:
-        return 'dry_run'
+        return 'dry_run_sell'
 
-    return EXCHANGE.sell(pair, rate, amount)
+    return _API.sell(pair, rate, amount)
 
 
 def get_balance(currency: str) -> float:
     if _CONF['dry_run']:
         return 999.9
 
-    return EXCHANGE.get_balance(currency)
+    return _API.get_balance(currency)
+
+
+def get_balances():
+    if _CONF['dry_run']:
+        return []
+
+    return _API.get_balances()
 
 
 def get_ticker(pair: str) -> dict:
-    return EXCHANGE.get_ticker(pair)
+    return _API.get_ticker(pair)
 
 
 def get_ticker_history(pair: str, minimum_date: arrow.Arrow):
-    return EXCHANGE.get_ticker_history(pair, minimum_date)
+    return _API.get_ticker_history(pair, minimum_date)
 
 
 def cancel_order(order_id: str) -> None:
     if _CONF['dry_run']:
         return
 
-    return EXCHANGE.cancel_order(order_id)
+    return _API.cancel_order(order_id)
 
 
-def get_open_orders(pair: str) -> List[dict]:
+def get_order(order_id: str) -> Dict:
     if _CONF['dry_run']:
-        return []
+        return {
+            'id': 'dry_run_sell',
+            'type': 'LIMIT_SELL',
+            'pair': 'mocked',
+            'opened': arrow.utcnow().datetime,
+            'rate': 0.07256060,
+            'amount': 206.43811673387373,
+            'remaining': 0.0,
+            'closed': arrow.utcnow().datetime,
+        }
 
-    return EXCHANGE.get_open_orders(pair)
+    return _API.get_order(order_id)
 
 
 def get_pair_detail_url(pair: str) -> str:
-    return EXCHANGE.get_pair_detail_url(pair)
+    return _API.get_pair_detail_url(pair)
 
 
 def get_markets() -> List[str]:
-    return EXCHANGE.get_markets()
+    return _API.get_markets()
+
+
+def get_name() -> str:
+    return _API.name
+
+
+def get_sleep_time() -> float:
+    return _API.sleep_time
+
+
+def get_fee() -> float:
+    return _API.fee

freqtrade/exchange/bittrex.py

@@ -1,5 +1,5 @@
 import logging
-from typing import List, Optional
+from typing import List, Optional, Dict
 
 import arrow
 import requests
@@ -36,6 +36,11 @@ class Bittrex(Exchange):
         _EXCHANGE_CONF.update(config)
         _API = _Bittrex(api_key=_EXCHANGE_CONF['key'], api_secret=_EXCHANGE_CONF['secret'])
 
+    @property
+    def fee(self) -> float:
+        # See https://bittrex.com/fees
+        return 0.0025
+
     def buy(self, pair: str, rate: float, amount: float) -> str:
         data = _API.buy_limit(pair.replace('_', '-'), amount, rate)
         if not data['success']:
@@ -54,6 +59,12 @@ class Bittrex(Exchange):
             raise RuntimeError('{}: {}'.format(self.name.upper(), data['message']))
         return float(data['result']['Balance'] or 0.0)
 
+    def get_balances(self):
+        data = _API.get_balances()
+        if not data['success']:
+            raise RuntimeError('{}: {}'.format(self.name.upper(), data['message']))
+        return data['result']
+
     def get_ticker(self, pair: str) -> dict:
         data = _API.get_ticker(pair.replace('_', '-'))
         if not data['success']:
@@ -81,24 +92,27 @@ class Bittrex(Exchange):
             raise RuntimeError('{}: {}'.format(self.name.upper(), data['message']))
         return data
 
+    def get_order(self, order_id: str) -> Dict:
+        data = _API.get_order(order_id)
+        if not data['success']:
+            raise RuntimeError('{}: {}'.format(self.name.upper(), data['message']))
+        data = data['result']
+        return {
+            'id': data['OrderUuid'],
+            'type': data['Type'],
+            'pair': data['Exchange'].replace('-', '_'),
+            'opened': data['Opened'],
+            'rate': data['PricePerUnit'],
+            'amount': data['Quantity'],
+            'remaining': data['QuantityRemaining'],
+            'closed': data['Closed'],
+        }
+
     def cancel_order(self, order_id: str) -> None:
         data = _API.cancel(order_id)
         if not data['success']:
             raise RuntimeError('{}: {}'.format(self.name.upper(), data['message']))
 
-    def get_open_orders(self, pair: str) -> List[dict]:
-        data = _API.get_open_orders(pair.replace('_', '-'))
-        if not data['success']:
-            raise RuntimeError('{}: {}'.format(self.name.upper(), data['message']))
-        return [{
-            'id': entry['OrderUuid'],
-            'type': entry['OrderType'],
-            'opened': entry['Opened'],
-            'rate': entry['PricePerUnit'],
-            'amount': entry['Quantity'],
-            'remaining': entry['QuantityRemaining'],
-        } for entry in data['result']]
-
     def get_pair_detail_url(self, pair: str) -> str:
         return self.PAIR_DETAIL_METHOD + '?MarketName={}'.format(pair.replace('_', '-'))
 

freqtrade/exchange/interface.py

@@ -1,5 +1,5 @@
 from abc import ABC, abstractmethod
-from typing import List, Optional
+from typing import List, Optional, Dict
 
 import arrow
 
@@ -13,6 +13,14 @@ class Exchange(ABC):
         """
         return self.__class__.__name__
 
+    @property
+    def fee(self) -> float:
+        """
+        Fee for placing an order
+        :return: percentage in float
+        """
+        return 0.0
+
     @property
     @abstractmethod
     def sleep_time(self) -> float:
@@ -49,6 +57,21 @@ class Exchange(ABC):
         :return: float
         """
 
+    @abstractmethod
+    def get_balances(self) -> List[dict]:
+        """
+        Gets account balances across currencies
+        :return: List of dicts, format: [
+          {
+            'Currency': str,
+            'Balance': float,
+            'Available': float,
+            'Pending': float,
+          }
+          ...
+        ]
+        """
+
     @abstractmethod
     def get_ticker(self, pair: str) -> dict:
         """
@@ -85,6 +108,22 @@ class Exchange(ABC):
         }
         """
 
+    def get_order(self, order_id: str) -> Dict:
+        """
+        Get order details for the given order_id.
+        :param order_id: ID as str
+        :return: dict, format: {
+            'id': str,
+            'type': str,
+            'pair': str,
+            'opened': str ISO 8601 datetime,
+            'closed': str ISO 8601 datetime,
+            'rate': float,
+            'amount': float,
+            'remaining': int
+        }
+        """
+
     @abstractmethod
     def cancel_order(self, order_id: str) -> None:
         """
@@ -93,24 +132,6 @@ class Exchange(ABC):
         :return: None
         """
 
-    @abstractmethod
-    def get_open_orders(self, pair: str) -> List[dict]:
-        """
-        Gets all open orders for given pair.
-        :param pair: Pair as str, format: BTC_ETC
-        :return: List of dicts, format: [
-            {
-                'id': str,
-                'type': str,
-                'opened': datetime,
-                'rate': float,
-                'amount': float,
-                'remaining': int,
-            },
-            ...
-        ]
-        """
-
     @abstractmethod
     def get_pair_detail_url(self, pair: str) -> str:
         """

freqtrade/main.py

@@ -8,6 +8,7 @@ from datetime import datetime
 from typing import Dict, Optional
 from signal import signal, SIGINT, SIGABRT, SIGTERM
 
+import requests
 from jsonschema import validate
 
 from freqtrade import __version__, exchange, persistence
@@ -44,22 +45,21 @@ def _process() -> None:
                 logger.exception('Unable to create trade')
 
         for trade in trades:
-            # Check if there is already an open order for this trade
-            orders = exchange.get_open_orders(trade.pair)
-            orders = [o for o in orders if o['id'] == trade.open_order_id]
-            if orders:
-                logger.info('There is an open order for: %s', orders[0])
-            else:
-                # Update state
-                trade.open_order_id = None
-                # Check if this trade can be closed
+            # Get order details for actual price per unit
+            if trade.open_order_id:
+                # Update trade with order values
+                logger.info('Got open order for %s', trade)
+                trade.update(exchange.get_order(trade.open_order_id))
+
             if not close_trade_if_fulfilled(trade):
                 # Check if we can sell our current pair
                 handle_trade(trade)
+
             Trade.session.flush()
-    except (ConnectionError, json.JSONDecodeError) as error:
-        msg = 'Got {} in _process()'.format(error.__class__.__name__)
+    except (requests.exceptions.ConnectionError, json.JSONDecodeError) as error:
+        msg = 'Got {} in _process(), retrying in 30 seconds...'.format(error.__class__.__name__)
         logger.exception(msg)
+        time.sleep(30)
 
 
 def close_trade_if_fulfilled(trade: Trade) -> bool:
@@ -80,23 +80,25 @@ def close_trade_if_fulfilled(trade: Trade) -> bool:
     return False
 
 
-def execute_sell(trade: Trade, current_rate: float) -> None:
+def execute_sell(trade: Trade, limit: float) -> None:
     """
-    Executes a sell for the given trade and current rate
+    Executes a limit sell for the given trade and limit
     :param trade: Trade instance
-    :param current_rate: current rate
+    :param limit: limit rate for the sell order
     :return: None
     """
-    # Get available balance
-    currency = trade.pair.split('_')[1]
-    balance = exchange.get_balance(currency)
-    profit = trade.exec_sell_order(current_rate, balance)
-    message = '*{}:* Selling [{}]({}) at rate `{:f} (profit: {}%)`'.format(
+    # Execute sell and update trade record
+    order_id = exchange.sell(str(trade.pair), limit, trade.amount)
+    trade.open_order_id = order_id
+    trade.close_date = datetime.utcnow()
+
+    fmt_exp_profit = round(trade.calc_profit(limit) * 100, 2)
+    message = '*{}:* Selling [{}]({}) with limit `{:f} (profit: ~{}%)`'.format(
         trade.exchange,
         trade.pair.replace('_', '/'),
         exchange.get_pair_detail_url(trade.pair),
-        trade.close_rate,
-        round(profit, 2)
+        limit,
+        fmt_exp_profit
     )
     logger.info(message)
     telegram.send_msg(message)
@@ -107,17 +109,15 @@ def should_sell(trade: Trade, current_rate: float, current_time: datetime) -> bo
     Based an earlier trade and current price and configuration, decides whether bot should sell
     :return True if bot should sell at current rate
     """
-    current_profit = (current_rate - trade.open_rate) / trade.open_rate
-
+    current_profit = trade.calc_profit(current_rate)
     if 'stoploss' in _CONF and current_profit < float(_CONF['stoploss']):
         logger.debug('Stop loss hit.')
         return True
 
     for duration, threshold in sorted(_CONF['minimal_roi'].items()):
-        duration, threshold = float(duration), float(threshold)
         # Check if time matches and current rate is above threshold
         time_diff = (current_time - trade.open_date).total_seconds() / 60
-        if time_diff > duration and current_profit > threshold:
+        if time_diff > float(duration) and current_profit > threshold:
             return True
 
     logger.debug('Threshold not reached. (cur_profit: %1.2f%%)', current_profit * 100.0)
@@ -133,7 +133,7 @@ def handle_trade(trade: Trade) -> None:
         if not trade.is_open:
             raise ValueError('attempt to handle closed trade: {}'.format(trade))
 
-        logger.debug('Handling open trade %s ...', trade)
+        logger.debug('Handling %s ...', trade)
 
         current_rate = exchange.get_ticker(trade.pair)['bid']
         if should_sell(trade, current_rate, datetime.utcnow()):
@@ -163,7 +163,7 @@ def create_trade(stake_amount: float) -> Optional[Trade]:
     # Check if stake_amount is fulfilled
     if exchange.get_balance(_CONF['stake_currency']) < stake_amount:
         raise ValueError(
-            'stake amount is not fulfilled (currency={}'.format(_CONF['stake_currency'])
+            'stake amount is not fulfilled (currency={})'.format(_CONF['stake_currency'])
         )
 
     # Remove currently opened and latest pairs from whitelist
@@ -182,25 +182,29 @@ def create_trade(stake_amount: float) -> Optional[Trade]:
     else:
         return None
 
-    open_rate = get_target_bid(exchange.get_ticker(pair))
-    amount = stake_amount / open_rate
-    order_id = exchange.buy(pair, open_rate, amount)
+    # Calculate amount and subtract fee
+    fee = exchange.get_fee()
+    buy_limit = get_target_bid(exchange.get_ticker(pair))
+    amount = (1 - fee) * stake_amount / buy_limit
 
+    order_id = exchange.buy(pair, buy_limit, amount)
     # Create trade entity and return
-    message = '*{}:* Buying [{}]({}) at rate `{:f}`'.format(
-        exchange.EXCHANGE.name.upper(),
+    message = '*{}:* Buying [{}]({}) with limit `{:f}`'.format(
+        exchange.get_name().upper(),
         pair.replace('_', '/'),
         exchange.get_pair_detail_url(pair),
-        open_rate
+        buy_limit
     )
     logger.info(message)
     telegram.send_msg(message)
+    # Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
     return Trade(pair=pair,
                  stake_amount=stake_amount,
-                 open_rate=open_rate,
-                 open_date=datetime.utcnow(),
                  amount=amount,
-                 exchange=exchange.EXCHANGE.name.upper(),
+                 fee=fee * 2,
+                 open_rate=buy_limit,
+                 open_date=datetime.utcnow(),
+                 exchange=exchange.get_name().upper(),
                  open_order_id=order_id,
                  is_open=True)
 
@@ -266,7 +270,7 @@ def app(config: dict) -> None:
             elif new_state == State.RUNNING:
                 _process()
                 # We need to sleep here because otherwise we would run into bittrex rate limit
-                time.sleep(exchange.EXCHANGE.sleep_time)
+                time.sleep(exchange.get_sleep_time())
             old_state = new_state
     except RuntimeError:
         telegram.send_msg(

freqtrade/persistence.py

@@ -1,16 +1,19 @@
+import logging
 from datetime import datetime
-from typing import Optional
+from decimal import Decimal, getcontext
+from typing import Optional, Dict
 
+import arrow
 from sqlalchemy import Boolean, Column, DateTime, Float, Integer, String, create_engine
 from sqlalchemy.ext.declarative import declarative_base
 from sqlalchemy.orm.scoping import scoped_session
 from sqlalchemy.orm.session import sessionmaker
-from sqlalchemy.types import Enum
 
-from freqtrade import exchange
+logging.basicConfig(level=logging.DEBUG,
+                    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+logger = logging.getLogger(__name__)
 
 _CONF = {}
-
 Base = declarative_base()
 
 
@@ -26,9 +29,9 @@ def init(config: dict, db_url: Optional[str] = None) -> None:
     _CONF.update(config)
     if not db_url:
         if _CONF.get('dry_run', False):
-            db_url = 'sqlite:///tradesv2.dry_run.sqlite'
+            db_url = 'sqlite:///tradesv3.dry_run.sqlite'
         else:
-            db_url = 'sqlite:///tradesv2.sqlite'
+            db_url = 'sqlite:///tradesv3.sqlite'
 
     engine = create_engine(db_url, echo=False)
     session = scoped_session(sessionmaker(bind=engine, autoflush=True, autocommit=True))
@@ -52,44 +55,55 @@ class Trade(Base):
     exchange = Column(String, nullable=False)
     pair = Column(String, nullable=False)
     is_open = Column(Boolean, nullable=False, default=True)
-    open_rate = Column(Float, nullable=False)
+    fee = Column(Float, nullable=False, default=0.0)
+    open_rate = Column(Float)
     close_rate = Column(Float)
     close_profit = Column(Float)
-    stake_amount = Column(Float, name='btc_amount', nullable=False)
-    amount = Column(Float, nullable=False)
+    stake_amount = Column(Float, nullable=False)
+    amount = Column(Float)
     open_date = Column(DateTime, nullable=False, default=datetime.utcnow)
     close_date = Column(DateTime)
     open_order_id = Column(String)
 
     def __repr__(self):
-        if self.is_open:
-            open_since = 'closed'
-        else:
-            open_since = round((datetime.utcnow() - self.open_date).total_seconds() / 60, 2)
         return 'Trade(id={}, pair={}, amount={}, open_rate={}, open_since={})'.format(
             self.id,
             self.pair,
             self.amount,
             self.open_rate,
-            open_since
+            arrow.get(self.open_date).humanize() if self.is_open else 'closed'
         )
 
-    def exec_sell_order(self, rate: float, amount: float) -> float:
+    def update(self, order: Dict) -> None:
         """
-        Executes a sell for the given trade and updated the entity.
-        :param rate: rate to sell for
-        :param amount: amount to sell
-        :return: current profit as percentage
+        Updates this entity with amount and actual open/close rates.
+        :param order: order retrieved by exchange.get_order()
+        :return: None
         """
-        profit = 100 * ((rate - self.open_rate) / self.open_rate)
+        if not order['closed']:
+            return
 
-        # Execute sell and update trade record
-        order_id = exchange.sell(str(self.pair), rate, amount)
-        self.close_rate = rate
-        self.close_profit = profit
-        self.close_date = datetime.utcnow()
-        self.open_order_id = order_id
+        logger.debug('Updating trade (id=%d) ...', self.id)
+        if order['type'] == 'LIMIT_BUY':
+            # Update open rate and actual amount
+            self.open_rate = order['rate']
+            self.amount = order['amount']
+        elif order['type'] == 'LIMIT_SELL':
+            # Set close rate and set actual profit
+            self.close_rate = order['rate']
+            self.close_profit = self.calc_profit()
+        else:
+            raise ValueError('Unknown order type: {}'.format(order['type']))
 
-        # Flush changes
-        Trade.session.flush()
-        return profit
+        self.open_order_id = None
+
+    def calc_profit(self, rate: Optional[float] = None) -> float:
+        """
+        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
+        :return: profit in percentage as float
+        """
+        getcontext().prec = 8
+        return float((Decimal(rate or self.close_rate) - Decimal(self.open_rate))
+                     / Decimal(self.open_rate) - Decimal(self.fee))

freqtrade/rpc/telegram.py

@@ -35,7 +35,7 @@ def init(config: dict) -> None:
     global _updater
 
     _CONF.update(config)
-    if not _CONF['telegram']['enabled']:
+    if not is_enabled():
         return
 
     _updater = Updater(token=config['telegram']['token'], workers=0)
@@ -44,6 +44,7 @@ def init(config: dict) -> None:
     handles = [
         CommandHandler('status', _status),
         CommandHandler('profit', _profit),
+        CommandHandler('balance', _balance),
         CommandHandler('start', _start),
         CommandHandler('stop', _stop),
         CommandHandler('forcesell', _forcesell),
@@ -70,9 +71,18 @@ 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))
+
+
 def authorized_only(command_handler: Callable[[Bot, Update], None]) -> Callable[..., Any]:
     """
     Decorator to check if the message comes from the correct chat_id
@@ -116,18 +126,15 @@ def _status(bot: Bot, update: Update) -> None:
     if get_state() != State.RUNNING:
         send_msg('*Status:* `trader is not running`', bot=bot)
     elif not trades:
-        send_msg('*Status:* `no active order`', bot=bot)
+        send_msg('*Status:* `no active trade`', bot=bot)
     else:
         for trade in trades:
+            order = exchange.get_order(trade.open_order_id)
             # calculate profit and send message to user
             current_rate = exchange.get_ticker(trade.pair)['bid']
-            current_profit = 100 * ((current_rate - trade.open_rate) / trade.open_rate)
-            orders = exchange.get_open_orders(trade.pair)
-            orders = [o for o in orders if o['id'] == trade.open_order_id]
-            order = orders[0] if orders else None
-
+            current_profit = trade.calc_profit(current_rate)
             fmt_close_profit = '{:.2f}%'.format(
-                round(trade.close_profit, 2)
+                round(trade.close_profit * 100, 2)
             ) if trade.close_profit else None
             message = """
 *Trade ID:* `{trade_id}`
@@ -150,8 +157,10 @@ def _status(bot: Bot, update: Update) -> None:
                 current_rate=current_rate,
                 amount=round(trade.amount, 8),
                 close_profit=fmt_close_profit,
-                current_profit=round(current_profit, 2),
-                open_order='{} ({})'.format(order['remaining'], order['type']) if order else None,
+                current_profit=round(current_profit * 100, 2),
+                open_order='{} ({})'.format(
+                    order['remaining'], order['type']
+                ) if order else None,
             )
             send_msg(message, bot=bot)
 
@@ -214,6 +223,8 @@ def _profit(bot: Bot, update: Update) -> None:
     profits = []
     durations = []
     for trade in trades:
+        if not trade.open_rate:
+            continue
         if trade.close_date:
             durations.append((trade.close_date - trade.open_date).total_seconds())
         if trade.close_profit:
@@ -221,9 +232,9 @@ def _profit(bot: Bot, update: Update) -> None:
         else:
             # Get current rate
             current_rate = exchange.get_ticker(trade.pair)['bid']
-            profit = 100 * ((current_rate - trade.open_rate) / trade.open_rate)
+            profit = trade.calc_profit(current_rate)
 
-        profit_amounts.append((profit / 100) * trade.stake_amount)
+        profit_amounts.append(profit * trade.stake_amount)
         profits.append(profit)
 
     best_pair = Trade.session.query(Trade.pair, func.sum(Trade.close_profit).label('profit_sum')) \
@@ -238,25 +249,49 @@ def _profit(bot: Bot, update: Update) -> None:
 
     bp_pair, bp_rate = best_pair
     markdown_msg = """
-*ROI:* `{profit_btc:.2f} ({profit:.2f}%)`
+*ROI:* `{profit_btc:.6f} ({profit:.2f}%)`
 *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}%`
+{dry_run_info}
     """.format(
         profit_btc=round(sum(profit_amounts), 8),
-        profit=round(sum(profits), 2),
+        profit=round(sum(profits) * 100, 2),
         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) / float(len(durations)))).split('.')[0],
         best_pair=bp_pair,
-        best_rate=round(bp_rate, 2),
+        best_rate=round(bp_rate * 100, 2),
+        dry_run_info='\n*NOTE:* These values are mocked because *dry_run* is enabled!'
+        if _CONF['dry_run'] else ''
     )
     send_msg(markdown_msg, bot=bot)
 
 
+@authorized_only
+def _balance(bot: Bot, update: Update) -> None:
+    """
+    Handler for /balance
+    Returns current account balance per crypto
+    """
+    output = ""
+    balances = exchange.get_balances()
+    for currency in balances:
+        if not currency['Balance'] and not currency['Available'] and not currency['Pending']:
+            continue
+        output += """*Currency*: {Currency}
+*Available*: {Available}
+*Balance*: {Balance}
+*Pending*: {Pending}
+
+""".format(**currency)
+
+    send_msg(output)
+
+
 @authorized_only
 def _start(bot: Bot, update: Update) -> None:
     """
@@ -315,20 +350,8 @@ def _forcesell(bot: Bot, update: Update) -> None:
             return
         # Get current rate
         current_rate = exchange.get_ticker(trade.pair)['bid']
-        # Get available balance
-        currency = trade.pair.split('_')[1]
-        balance = exchange.get_balance(currency)
-        # Execute sell
-        profit = trade.exec_sell_order(current_rate, balance)
-        message = '*{}:* Selling [{}]({}) at rate `{:f} (profit: {}%)`'.format(
-            trade.exchange,
-            trade.pair.replace('_', '/'),
-            exchange.get_pair_detail_url(trade.pair),
-            trade.close_rate,
-            round(profit, 2)
-        )
-        logger.info(message)
-        send_msg(message)
+        from freqtrade.main import execute_sell
+        execute_sell(trade, current_rate)
 
     except ValueError:
         send_msg('Invalid argument. Usage: `/forcesell <trade_id>`')
@@ -357,10 +380,14 @@ def _performance(bot: Bot, update: Update) -> None:
     stats = '\n'.join('{index}. <code>{pair}\t{profit:.2f}%</code>'.format(
         index=i + 1,
         pair=pair,
-        profit=round(rate, 2)
+        profit=round(rate * 100, 2)
     ) for i, (pair, rate) in enumerate(pair_rates))
 
-    message = '<b>Performance:</b>\n{}\n'.format(stats)
+    message = '<b>Performance:</b>\n{}\n{}'.format(
+        stats,
+        '<b>NOTE:</b> These values are mocked because <b>dry_run</b> is enabled.'
+        if _CONF['dry_run'] else ''
+    )
     logger.debug(message)
     send_msg(message, parse_mode=ParseMode.HTML)
 
@@ -403,6 +430,7 @@ def _help(bot: Bot, update: Update) -> None:
 */forcesell <trade_id>:* `Instantly sells the given trade, regardless of profit`
 */performance:* `Show performance of each finished trade grouped by pair`
 */count:* `Show number of trades running compared to allowed number of trades`
+*/balance:* `Show account balance per currency`
 */help:* `This help message`
     """
     send_msg(message, bot=bot)
@@ -428,7 +456,8 @@ def send_msg(msg: str, bot: Bot = None, parse_mode: ParseMode = ParseMode.MARKDO
     :param parse_mode: telegram parse mode
     :return: None
     """
-    if _CONF['telegram'].get('enabled', False):
+    if not is_enabled():
+        return
     try:
         bot = bot or _updater.bot
         try:

freqtrade/tests/test_analyze.py

@@ -7,6 +7,7 @@ from pandas import DataFrame
 from freqtrade.analyze import parse_ticker_dataframe, populate_buy_trend, populate_indicators, \
     get_buy_signal
 
+
 @pytest.fixture
 def result():
     with open('freqtrade/tests/testdata/btc-eth.json') as data_file:
@@ -14,18 +15,22 @@ def result():
 
     return parse_ticker_dataframe(data['result'])
 
+
 def test_dataframe_has_correct_columns(result):
     assert result.columns.tolist() == \
                         ['close', 'high', 'low', 'open', 'date', 'volume']
 
+
 def test_dataframe_has_correct_length(result):
     assert len(result.index) == 5751
 
+
 def test_populates_buy_trend(result):
     dataframe = populate_buy_trend(populate_indicators(result))
     assert 'buy' in dataframe.columns
     assert 'buy_price' in dataframe.columns
 
+
 def test_returns_latest_buy_signal(mocker):
     buydf = DataFrame([{'buy': 1, 'date': datetime.today()}])
     mocker.patch('freqtrade.analyze.analyze_ticker', return_value=buydf)

freqtrade/tests/test_backtesting.py

@@ -7,12 +7,15 @@ import pytest
 import arrow
 from pandas import DataFrame
 
+from freqtrade import exchange
 from freqtrade.analyze import analyze_ticker
+from freqtrade.exchange import Bittrex
 from freqtrade.main import should_sell
 from freqtrade.persistence import Trade
 
 logging.disable(logging.DEBUG)  # disable debug logs that slow backtesting a lot
 
+
 def format_results(results):
     return 'Made {} buys. Average profit {:.2f}%. Total profit was {:.3f}. Average duration {:.1f} mins.'.format(
         len(results.index),
@@ -21,15 +24,18 @@ def format_results(results):
         results.duration.mean() * 5
     )
 
+
 def print_pair_results(pair, results):
     print('For currency {}:'.format(pair))
     print(format_results(results[results.currency == pair]))
 
+
 @pytest.fixture
 def pairs():
     return ['btc-neo', 'btc-eth', 'btc-omg', 'btc-edg', 'btc-pay',
             'btc-pivx', 'btc-qtum', 'btc-mtl', 'btc-etc', 'btc-ltc']
 
+
 @pytest.fixture
 def conf():
     return {
@@ -42,23 +48,29 @@ def conf():
         "stoploss": -0.40
     }
 
+
 def backtest(conf, pairs, mocker):
     trades = []
+    exchange._API = Bittrex({'key': '', 'secret': ''})
+    mocked_history = mocker.patch('freqtrade.analyze.get_ticker_history')
     mocker.patch.dict('freqtrade.main._CONF', conf)
+    mocker.patch('arrow.utcnow', return_value=arrow.get('2017-08-20T14:50:00'))
     for pair in pairs:
         with open('freqtrade/tests/testdata/'+pair+'.json') as data_file:
-            data = json.load(data_file)
-
-            mocker.patch('freqtrade.analyze.get_ticker_history', return_value=data)
-            mocker.patch('arrow.utcnow', return_value=arrow.get('2017-08-20T14:50:00'))
+            mocked_history.return_value = json.load(data_file)
             ticker = analyze_ticker(pair)[['close', 'date', 'buy']].copy()
             # for each buy point
             for row in ticker[ticker.buy == 1].itertuples(index=True):
-                trade = Trade(open_rate=row.close, open_date=row.date, amount=1)
+                trade = Trade(
+                    open_rate=row.close,
+                    open_date=row.date,
+                    amount=1,
+                    fee=exchange.get_fee()*2
+                )
                 # calculate win/lose forwards from buy point
                 for row2 in ticker[row.Index:].itertuples(index=True):
                     if should_sell(trade, row2.close, row2.date):
-                        current_profit = (row2.close - trade.open_rate) / trade.open_rate
+                        current_profit = trade.calc_profit(row2.close)
 
                         trades.append((pair, current_profit, row2.Index - row.Index))
                         break
@@ -66,11 +78,13 @@ def backtest(conf, pairs, mocker):
     results = DataFrame.from_records(trades, columns=labels)
     return results
 
+
 @pytest.mark.skipif(not os.environ.get('BACKTEST', False), reason="BACKTEST not set")
 def test_backtest(conf, pairs, mocker, report=True):
     results = backtest(conf, pairs, mocker)
 
     print('====================== BACKTESTING REPORT ================================')
-    [print_pair_results(pair, results) for pair in pairs]
+    for pair in pairs:
+        print_pair_results(pair, results)
     print('TOTAL OVER ALL TRADES:')
     print(format_results(results))

freqtrade/tests/test_hyperopt.py

@@ -1,16 +1,16 @@
 # pragma pylint: disable=missing-docstring
-from operator import itemgetter
 import logging
 import os
 from functools import reduce
 from math import exp
-import pytest
-from pandas import DataFrame
-from qtpylib.indicators import crossed_above
+from operator import itemgetter
 
+import pytest
 from hyperopt import fmin, tpe, hp, Trials, STATUS_OK
+from pandas import DataFrame
 
 from freqtrade.tests.test_backtesting import backtest, format_results
+from freqtrade.vendor.qtpylib.indicators import crossed_above
 
 logging.disable(logging.DEBUG)  # disable debug logs that slow backtesting a lot
 
@@ -23,6 +23,7 @@ def pairs():
     return ['btc-neo', 'btc-eth', 'btc-omg', 'btc-edg', 'btc-pay',
             'btc-pivx', 'btc-qtum', 'btc-mtl', 'btc-etc', 'btc-ltc']
 
+
 @pytest.fixture
 def conf():
     return {
@@ -35,15 +36,15 @@ def conf():
         "stoploss": -0.05
     }
 
+
 def buy_strategy_generator(params):
     print(params)
+
     def populate_buy_trend(dataframe: DataFrame) -> DataFrame:
         conditions = []
         # GUARDS AND TRENDS
-        if params['below_sma']['enabled']:
-            conditions.append(dataframe['close'] < dataframe['sma'])
-        if params['over_sma']['enabled']:
-            conditions.append(dataframe['close'] > dataframe['sma'])
+        if params['uptrend_long_ema']['enabled']:
+            conditions.append(dataframe['ema50'] > dataframe['ema100'])
         if params['mfi']['enabled']:
             conditions.append(dataframe['mfi'] < params['mfi']['value'])
         if params['fastd']['enabled']:
@@ -52,6 +53,8 @@ def buy_strategy_generator(params):
             conditions.append(dataframe['adx'] > params['adx']['value'])
         if params['cci']['enabled']:
             conditions.append(dataframe['cci'] < params['cci']['value'])
+        if params['rsi']['enabled']:
+            conditions.append(dataframe['rsi'] < params['rsi']['value'])
         if params['over_sar']['enabled']:
             conditions.append(dataframe['close'] > dataframe['sar'])
         if params['uptrend_sma']['enabled']:
@@ -64,6 +67,8 @@ def buy_strategy_generator(params):
             'lower_bb': dataframe['tema'] <= dataframe['blower'],
             'faststoch10': (dataframe['fastd'] >= 10) & (prev_fastd < 10),
             'ao_cross_zero': (crossed_above(dataframe['ao'], 0.0)),
+            'ema5_cross_ema10': (crossed_above(dataframe['ema5'], dataframe['ema10'])),
+            'macd_cross_signal': (crossed_above(dataframe['macd'], dataframe['macdsignal'])),
         }
         conditions.append(triggers.get(params['trigger']['type']))
 
@@ -75,11 +80,14 @@ def buy_strategy_generator(params):
         return dataframe
     return populate_buy_trend
 
+
 @pytest.mark.skipif(not os.environ.get('BACKTEST', False), reason="BACKTEST not set")
 def test_hyperopt(conf, pairs, mocker):
+    mocked_buy_trend = mocker.patch('freqtrade.analyze.populate_buy_trend')
+
     def optimizer(params):
-        buy_strategy = buy_strategy_generator(params)
-        mocker.patch('freqtrade.analyze.populate_buy_trend', side_effect=buy_strategy)
+        mocked_buy_trend.side_effect = buy_strategy_generator(params)
+
         results = backtest(conf, pairs, mocker)
 
         result = format_results(results)
@@ -100,25 +108,25 @@ def test_hyperopt(conf, pairs, mocker):
     space = {
         'mfi': hp.choice('mfi', [
             {'enabled': False},
-            {'enabled': True, 'value': hp.uniform('mfi-value', 2, 40)}
+            {'enabled': True, 'value': hp.uniform('mfi-value', 5, 15)}
         ]),
         'fastd': hp.choice('fastd', [
             {'enabled': False},
-            {'enabled': True, 'value': hp.uniform('fastd-value', 2, 40)}
+            {'enabled': True, 'value': hp.uniform('fastd-value', 5, 40)}
         ]),
         'adx': hp.choice('adx', [
             {'enabled': False},
-            {'enabled': True, 'value': hp.uniform('adx-value', 2, 40)}
+            {'enabled': True, 'value': hp.uniform('adx-value', 10, 30)}
         ]),
         'cci': hp.choice('cci', [
             {'enabled': False},
-            {'enabled': True, 'value': hp.uniform('cci-value', -200, -100)}
+            {'enabled': True, 'value': hp.uniform('cci-value', -150, -100)}
         ]),
-        'below_sma': hp.choice('below_sma', [
+        'rsi': hp.choice('rsi', [
             {'enabled': False},
-            {'enabled': True}
+            {'enabled': True, 'value': hp.uniform('rsi-value', 20, 30)}
         ]),
-        'over_sma': hp.choice('over_sma', [
+        'uptrend_long_ema': hp.choice('uptrend_long_ema', [
             {'enabled': False},
             {'enabled': True}
         ]),
@@ -133,11 +141,13 @@ def test_hyperopt(conf, pairs, mocker):
         'trigger': hp.choice('trigger', [
             {'type': 'lower_bb'},
             {'type': 'faststoch10'},
-            {'type': 'ao_cross_zero'}
+            {'type': 'ao_cross_zero'},
+            {'type': 'ema5_cross_ema10'},
+            {'type': 'macd_cross_signal'},
         ]),
     }
     trials = Trials()
-    best = fmin(fn=optimizer, space=space, algo=tpe.suggest, max_evals=40, trials=trials)
+    best = fmin(fn=optimizer, space=space, algo=tpe.suggest, max_evals=4, trials=trials)
     print('\n\n\n\n====================== HYPEROPT BACKTESTING REPORT ================================')
     print('Best parameters {}'.format(best))
     newlist = sorted(trials.results, key=itemgetter('loss'))

freqtrade/tests/test_main.py

@@ -1,5 +1,6 @@
 # pragma pylint: disable=missing-docstring
 import copy
+from datetime import datetime
 from unittest.mock import MagicMock, call
 
 import pytest
@@ -48,6 +49,7 @@ def conf():
     validate(configuration, CONF_SCHEMA)
     return configuration
 
+
 def test_create_trade(conf, mocker):
     mocker.patch.dict('freqtrade.main._CONF', conf)
     buy_signal = mocker.patch('freqtrade.main.get_buy_signal', side_effect=lambda _: True)
@@ -59,29 +61,43 @@ def test_create_trade(conf, mocker):
                               'ask': 0.072661,
                               'last': 0.07256061
                           }),
-                          buy=MagicMock(return_value='mocked_order_id'))
+                          buy=MagicMock(return_value='mocked_limit_buy'))
     # Save state of current whitelist
     whitelist = copy.deepcopy(conf['exchange']['pair_whitelist'])
 
     init(conf, 'sqlite://')
-    for pair in ['BTC_ETH', 'BTC_TKN', 'BTC_TRST', 'BTC_SWT']:
+    for _ in ['BTC_ETH', 'BTC_TKN', 'BTC_TRST', 'BTC_SWT']:
         trade = create_trade(15.0)
         Trade.session.add(trade)
         Trade.session.flush()
         assert trade is not None
-        assert trade.open_rate == 0.072661
-        assert trade.pair == pair
-        assert trade.exchange == Exchanges.BITTREX.name
-        assert trade.amount == 206.43811673387373
         assert trade.stake_amount == 15.0
         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({
+            'id': 'mocked_limit_buy',
+            'type': 'LIMIT_BUY',
+            'pair': 'mocked',
+            'opened': datetime.utcnow(),
+            'rate': 0.072661,
+            'amount': 206.43811673387373,
+            'remaining': 0.0,
+            'closed': datetime.utcnow(),
+        })
+
+        assert trade.open_rate == 0.072661
+        assert trade.amount == 206.43811673387373
+
         assert whitelist == conf['exchange']['pair_whitelist']
 
     buy_signal.assert_has_calls(
         [call('BTC_ETH'), call('BTC_TKN'), call('BTC_TRST'), call('BTC_SWT')]
     )
 
+
 def test_handle_trade(conf, mocker):
     mocker.patch.dict('freqtrade.main._CONF', conf)
     mocker.patch.multiple('freqtrade.main.telegram', init=MagicMock(), send_msg=MagicMock())
@@ -92,14 +108,29 @@ def test_handle_trade(conf, mocker):
                               'ask': 0.172661,
                               'last': 0.17256061
                           }),
-                          buy=MagicMock(return_value='mocked_order_id'))
+                          sell=MagicMock(return_value='mocked_limit_sell'))
     trade = Trade.query.filter(Trade.is_open.is_(True)).first()
     assert trade
+
     handle_trade(trade)
+    assert trade.open_order_id == 'mocked_limit_sell'
+
+    # Simulate fulfilled LIMIT_SELL order for trade
+    trade.update({
+        'id': 'mocked_sell_limit',
+        'type': 'LIMIT_SELL',
+        'pair': 'mocked',
+        'opened': datetime.utcnow(),
+        'rate': 0.17256061,
+        'amount': 206.43811673387373,
+        'remaining': 0.0,
+        'closed': datetime.utcnow(),
+    })
+
     assert trade.close_rate == 0.17256061
-    assert trade.close_profit == 137.4872490056564
+    assert trade.close_profit == 1.3698725
     assert trade.close_date is not None
-    assert trade.open_order_id == 'dry_run'
+
 
 def test_close_trade(conf, mocker):
     mocker.patch.dict('freqtrade.main._CONF', conf)
@@ -113,14 +144,17 @@ def test_close_trade(conf, mocker):
     assert closed
     assert not trade.is_open
 
+
 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_when_last_bigger_than_ask(mocker):
     mocker.patch.dict('freqtrade.main._CONF', {'bid_strategy': {'ask_last_balance': 1.0}})
     assert get_target_bid({'ask': 5, 'last': 10}) == 5

freqtrade/tests/test_persistence.py

@@ -1,20 +0,0 @@
-# pragma pylint: disable=missing-docstring
-from freqtrade.exchange import Exchanges
-from freqtrade.persistence import Trade
-
-def test_exec_sell_order(mocker):
-    api_mock = mocker.patch('freqtrade.main.exchange.sell', side_effect='mocked_order_id')
-    trade = Trade(
-        pair='BTC_ETH',
-        stake_amount=1.00,
-        open_rate=0.50,
-        amount=10.00,
-        exchange=Exchanges.BITTREX,
-        open_order_id='mocked'
-    )
-    profit = trade.exec_sell_order(1.00, 10.00)
-    api_mock.assert_called_once_with('BTC_ETH', 1.0, 10.0)
-    assert profit == 100.0
-    assert trade.close_rate == 1.0
-    assert trade.close_profit == profit
-    assert trade.close_date is not None

freqtrade/tests/test_telegram.py

@@ -11,12 +11,9 @@ from telegram import Bot, Update, Message, Chat
 from freqtrade.main import init, create_trade
 from freqtrade.misc import update_state, State, get_state, CONF_SCHEMA
 from freqtrade.persistence import Trade
-from freqtrade.rpc.telegram import _status,  _status_table, _profit, _forcesell, _performance, \
-    _count, _start, _stop
-
-logging.getLogger('requests.packages.urllib3').setLevel(logging.INFO)
-logging.getLogger('telegram').setLevel(logging.INFO)
-logger = logging.getLogger(__name__)
+from freqtrade.rpc.telegram import (
+    _status, _status_table, _profit, _forcesell, _performance, _count, _start, _stop, _balance
+)
 
 
 @pytest.fixture
@@ -54,6 +51,7 @@ def conf():
     validate(configuration, CONF_SCHEMA)
     return configuration
 
+
 @pytest.fixture
 def update():
     _update = Update(0)
@@ -69,7 +67,10 @@ def test_status_handle(conf, update, mocker):
     mocker.patch.dict('freqtrade.main._CONF', conf)
     mocker.patch('freqtrade.main.get_buy_signal', side_effect=lambda _: True)
     msg_mock = MagicMock()
-    mocker.patch.multiple('freqtrade.main.telegram', _CONF=conf, init=MagicMock(), send_msg=msg_mock)
+    mocker.patch.multiple('freqtrade.main.telegram',
+                          _CONF=conf,
+                          init=MagicMock(),
+                          send_msg=msg_mock)
     mocker.patch.multiple('freqtrade.main.exchange',
                           validate_pairs=MagicMock(),
                           get_ticker=MagicMock(return_value={
@@ -86,8 +87,26 @@ def test_status_handle(conf, update, mocker):
     Trade.session.add(trade)
     Trade.session.flush()
 
+    # Trigger status while we don't know the open_rate yet
     _status(bot=MagicBot(), update=update)
-    assert msg_mock.call_count == 2
+
+    # Simulate fulfilled LIMIT_BUY order for trade
+    trade.update({
+        'id': 'mocked_limit_buy',
+        'type': 'LIMIT_BUY',
+        'pair': 'mocked',
+        'opened': datetime.utcnow(),
+        'rate': 0.07256060,
+        'amount': 206.43811673387373,
+        'remaining': 0.0,
+        'closed': datetime.utcnow(),
+    })
+    Trade.session.flush()
+
+    # Trigger status while we have a fulfilled order for the open trade
+    _status(bot=MagicBot(), update=update)
+
+    assert msg_mock.call_count == 3
     assert '[BTC_ETH]' in msg_mock.call_args_list[-1][0][0]
 
 
@@ -127,7 +146,10 @@ def test_profit_handle(conf, update, mocker):
     mocker.patch.dict('freqtrade.main._CONF', conf)
     mocker.patch('freqtrade.main.get_buy_signal', side_effect=lambda _: True)
     msg_mock = MagicMock()
-    mocker.patch.multiple('freqtrade.main.telegram', _CONF=conf, init=MagicMock(), send_msg=msg_mock)
+    mocker.patch.multiple('freqtrade.main.telegram',
+                          _CONF=conf,
+                          init=MagicMock(),
+                          send_msg=msg_mock)
     mocker.patch.multiple('freqtrade.main.exchange',
                           validate_pairs=MagicMock(),
                           get_ticker=MagicMock(return_value={
@@ -135,14 +157,36 @@ def test_profit_handle(conf, update, mocker):
                               'ask': 0.072661,
                               'last': 0.07256061
                           }),
-                          buy=MagicMock(return_value='mocked_order_id'))
+                          buy=MagicMock(return_value='mocked_limit_buy'))
     init(conf, 'sqlite://')
 
     # Create some test data
     trade = create_trade(15.0)
     assert trade
-    trade.close_rate = 0.07256061
-    trade.close_profit = 100.00
+
+    # Simulate fulfilled LIMIT_BUY order for trade
+    trade.update({
+        'id': 'mocked_limit_buy',
+        'type': 'LIMIT_BUY',
+        'pair': 'mocked',
+        'opened': datetime.utcnow(),
+        'rate': 0.07256061,
+        'amount': 206.43811673387373,
+        'remaining': 0.0,
+        'closed': datetime.utcnow(),
+    })
+    # Simulate fulfilled LIMIT_SELL order for trade
+    trade.update({
+        'id': 'mocked_limit_sell',
+        'type': 'LIMIT_SELL',
+        'pair': 'mocked',
+        'opened': datetime.utcnow(),
+        'rate': 0.0802134,
+        'amount': 206.43811673387373,
+        'remaining': 0.0,
+        'closed': datetime.utcnow(),
+    })
+
     trade.close_date = datetime.utcnow()
     trade.open_order_id = None
     trade.is_open = False
@@ -151,13 +195,18 @@ def test_profit_handle(conf, update, mocker):
 
     _profit(bot=MagicBot(), update=update)
     assert msg_mock.call_count == 2
-    assert '(100.00%)' in msg_mock.call_args_list[-1][0][0]
+    assert '*ROI:* `1.507013 (10.05%)`' in msg_mock.call_args_list[-1][0][0]
+    assert 'Best Performing:* `BTC_ETH: 10.05%`' in msg_mock.call_args_list[-1][0][0]
+
 
 def test_forcesell_handle(conf, update, mocker):
     mocker.patch.dict('freqtrade.main._CONF', conf)
     mocker.patch('freqtrade.main.get_buy_signal', side_effect=lambda _: True)
     msg_mock = MagicMock()
-    mocker.patch.multiple('freqtrade.main.telegram', _CONF=conf, init=MagicMock(), send_msg=msg_mock)
+    mocker.patch.multiple('freqtrade.main.telegram',
+                          _CONF=conf,
+                          init=MagicMock(),
+                          send_msg=msg_mock)
     mocker.patch.multiple('freqtrade.main.exchange',
                           validate_pairs=MagicMock(),
                           get_ticker=MagicMock(return_value={
@@ -171,6 +220,19 @@ def test_forcesell_handle(conf, update, mocker):
     # Create some test data
     trade = create_trade(15.0)
     assert trade
+
+    # Simulate fulfilled LIMIT_BUY order for trade
+    trade.update({
+        'id': 'mocked_limit_buy',
+        'type': 'LIMIT_BUY',
+        'pair': 'mocked',
+        'opened': datetime.utcnow(),
+        'rate': 0.07256060,
+        'amount': 206.43811673387373,
+        'remaining': 0.0,
+        'closed': datetime.utcnow(),
+    })
+
     Trade.session.add(trade)
     Trade.session.flush()
 
@@ -179,13 +241,17 @@ def test_forcesell_handle(conf, update, mocker):
 
     assert msg_mock.call_count == 2
     assert 'Selling [BTC/ETH]' in msg_mock.call_args_list[-1][0][0]
-    assert '0.072561' in msg_mock.call_args_list[-1][0][0]
+    assert '0.072561 (profit: ~-0.5%)' in msg_mock.call_args_list[-1][0][0]
+
 
 def test_performance_handle(conf, update, mocker):
     mocker.patch.dict('freqtrade.main._CONF', conf)
     mocker.patch('freqtrade.main.get_buy_signal', side_effect=lambda _: True)
     msg_mock = MagicMock()
-    mocker.patch.multiple('freqtrade.main.telegram', _CONF=conf, init=MagicMock(), send_msg=msg_mock)
+    mocker.patch.multiple('freqtrade.main.telegram',
+                          _CONF=conf,
+                          init=MagicMock(),
+                          send_msg=msg_mock)
     mocker.patch.multiple('freqtrade.main.exchange',
                           validate_pairs=MagicMock(),
                           get_ticker=MagicMock(return_value={
@@ -199,10 +265,32 @@ def test_performance_handle(conf, update, mocker):
     # Create some test data
     trade = create_trade(15.0)
     assert trade
-    trade.close_rate = 0.07256061
-    trade.close_profit = 100.00
+
+    # Simulate fulfilled LIMIT_BUY order for trade
+    trade.update({
+        'id': 'mocked_limit_buy',
+        'type': 'LIMIT_BUY',
+        'pair': 'mocked',
+        'opened': datetime.utcnow(),
+        'rate': 0.07256061,
+        'amount': 206.43811673387373,
+        'remaining': 0.0,
+        'closed': datetime.utcnow(),
+    })
+
+    # Simulate fulfilled LIMIT_SELL order for trade
+    trade.update({
+        'id': 'mocked_limit_sell',
+        'type': 'LIMIT_SELL',
+        'pair': 'mocked',
+        'opened': datetime.utcnow(),
+        'rate': 0.0802134,
+        'amount': 206.43811673387373,
+        'remaining': 0.0,
+        'closed': datetime.utcnow(),
+    })
+
     trade.close_date = datetime.utcnow()
-    trade.open_order_id = None
     trade.is_open = False
     Trade.session.add(trade)
     Trade.session.flush()
@@ -210,7 +298,8 @@ def test_performance_handle(conf, update, mocker):
     _performance(bot=MagicBot(), update=update)
     assert msg_mock.call_count == 2
     assert 'Performance' in msg_mock.call_args_list[-1][0][0]
-    assert 'BTC_ETH	100.00%' in msg_mock.call_args_list[-1][0][0]
+    assert '<code>BTC_ETH\t10.05%</code>' in msg_mock.call_args_list[-1][0][0]
+
 
 
 def test_count_handle(conf, update, mocker):
@@ -245,8 +334,13 @@ def test_count_handle(conf, update, mocker):
 def test_start_handle(conf, update, mocker):
     mocker.patch.dict('freqtrade.main._CONF', conf)
     msg_mock = MagicMock()
-    mocker.patch.multiple('freqtrade.main.telegram', _CONF=conf, init=MagicMock(), send_msg=msg_mock)
-    mocker.patch.multiple('freqtrade.main.exchange', _CONF=conf, init=MagicMock())
+    mocker.patch.multiple('freqtrade.main.telegram',
+                          _CONF=conf,
+                          init=MagicMock(),
+                          send_msg=msg_mock)
+    mocker.patch.multiple('freqtrade.main.exchange',
+                          _CONF=conf,
+                          init=MagicMock())
     init(conf, 'sqlite://')
 
     update_state(State.STOPPED)
@@ -255,11 +349,17 @@ def test_start_handle(conf, update, mocker):
     assert get_state() == State.RUNNING
     assert msg_mock.call_count == 0
 
+
 def test_stop_handle(conf, update, mocker):
     mocker.patch.dict('freqtrade.main._CONF', conf)
     msg_mock = MagicMock()
-    mocker.patch.multiple('freqtrade.main.telegram', _CONF=conf, init=MagicMock(), send_msg=msg_mock)
-    mocker.patch.multiple('freqtrade.main.exchange', _CONF=conf, init=MagicMock())
+    mocker.patch.multiple('freqtrade.main.telegram',
+                          _CONF=conf,
+                          init=MagicMock(),
+                          send_msg=msg_mock)
+    mocker.patch.multiple('freqtrade.main.exchange',
+                          _CONF=conf,
+                          init=MagicMock())
     init(conf, 'sqlite://')
 
     update_state(State.RUNNING)
@@ -268,3 +368,25 @@ def test_stop_handle(conf, update, mocker):
     assert get_state() == State.STOPPED
     assert msg_mock.call_count == 1
     assert 'Stopping trader' in msg_mock.call_args_list[0][0][0]
+
+
+def test_balance_handle(conf, update, mocker):
+    mock_balance = [{
+        'Currency': 'BTC',
+        'Balance': 10.0,
+        'Available': 12.0,
+        'Pending': 0.0,
+        'CryptoAddress': 'XXXX'}]
+    mocker.patch.dict('freqtrade.main._CONF', conf)
+    msg_mock = MagicMock()
+    mocker.patch.multiple('freqtrade.main.telegram',
+                          _CONF=conf,
+                          init=MagicMock(),
+                          send_msg=msg_mock)
+    mocker.patch.multiple('freqtrade.main.exchange',
+                          get_balances=MagicMock(return_value=mock_balance))
+
+    _balance(bot=MagicBot(), update=update)
+    assert msg_mock.call_count == 1
+    assert '*Currency*: BTC' in msg_mock.call_args_list[0][0][0]
+    assert 'Balance' in msg_mock.call_args_list[0][0][0]