Merge branch 'develop' into kraken_support

freqtrade/constants.py

@@ -13,6 +13,7 @@ DEFAULT_HYPEROPT = 'DefaultHyperOpts'
 DEFAULT_DB_PROD_URL = 'sqlite:///tradesv3.sqlite'
 DEFAULT_DB_DRYRUN_URL = 'sqlite://'
 UNLIMITED_STAKE_AMOUNT = 'unlimited'
+DEFAULT_AMOUNT_RESERVE_PERCENT = 0.05
 REQUIRED_ORDERTIF = ['buy', 'sell']
 REQUIRED_ORDERTYPES = ['buy', 'sell', 'stoploss', 'stoploss_on_exchange']
 ORDERTYPE_POSSIBILITIES = ['limit', 'market']

freqtrade/freqtradebot.py

@@ -299,7 +299,8 @@ class FreqtradeBot(object):
             return None
 
         # reserve some percent defined in config (5% default) + stoploss
-        amount_reserve_percent = 1.0 - self.config.get('amount_reserve_percent', 0.05)
+        amount_reserve_percent = 1.0 - self.config.get('amount_reserve_percent',
+                                                       constants.DEFAULT_AMOUNT_RESERVE_PERCENT)
         if self.strategy.stoploss is not None:
             amount_reserve_percent += self.strategy.stoploss
         # it should not be more than 50%

requirements.txt

@@ -1,4 +1,4 @@
-ccxt==1.18.245
+ccxt==1.18.247
 SQLAlchemy==1.2.18
 python-telegram-bot==11.1.0
 arrow==0.13.1

user_data/strategies/test_strategy.py

@@ -55,7 +55,7 @@ class TestStrategy(IStrategy):
 
     # Experimental settings (configuration will overide these if set)
     use_sell_signal = False
-    use_profit_only = False
+    sell_profit_only = False
     ignore_roi_if_buy_signal = False
 
     # Optional order type mapping
@@ -266,7 +266,8 @@ class TestStrategy(IStrategy):
             (
                 (dataframe['adx'] > 30) &
                 (dataframe['tema'] <= dataframe['bb_middleband']) &
-                (dataframe['tema'] > dataframe['tema'].shift(1))
+                (dataframe['tema'] > dataframe['tema'].shift(1)) &
+                (dataframe['volume'] > 0)  # Make sure Volume is not 0
             ),
             'buy'] = 1
 
@@ -283,7 +284,8 @@ class TestStrategy(IStrategy):
             (
                 (dataframe['adx'] > 70) &
                 (dataframe['tema'] > dataframe['bb_middleband']) &
-                (dataframe['tema'] < dataframe['tema'].shift(1))
+                (dataframe['tema'] < dataframe['tema'].shift(1)) &
+                (dataframe['volume'] > 0)  # Make sure Volume is not 0
             ),
             'sell'] = 1
         return dataframe