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extract sell criteria to it's own method for testing

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This commit is contained in:
Janne Sinivirta 2017-09-25 15:42:16 +03:00
parent 877dd6d3fa
commit 4198220b68
1 changed files with 23 additions and 13 deletions
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36
main.py
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@ -107,6 +107,28 @@ def execute_sell(trade: Trade, current_rate: float) -> None:
telegram.send_msg(message)
def should_sell(trade: Trade, current_rate: float, current_time: datetime) -> bool:
"""
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
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:
return True
logger.debug('Threshold not reached. (cur_profit: %1.2f%%)', current_profit * 100.0)
return False
def handle_trade(trade: Trade) -> None:
"""
Sells the current pair if the threshold is reached and updates the trade record.
@ -119,22 +141,10 @@ def handle_trade(trade: Trade) -> None:
logger.debug('Handling open trade %s ...', trade)
current_rate = exchange.get_ticker(trade.pair)['bid']
current_profit = (current_rate - trade.open_rate) / trade.open_rate
if 'stoploss' in _CONF and current_profit < float(_CONF['stoploss']):
logger.debug('Stop loss hit.')
if should_sell(trade, current_rate, datetime.utcnow()):
execute_sell(trade, current_rate)
return
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 = (datetime.utcnow() - trade.open_date).total_seconds() / 60
if time_diff > duration and current_profit > threshold:
execute_sell(trade, current_rate)
return
logger.debug('Threshold not reached. (cur_profit: %1.2f%%)', current_profit * 100.0)
except ValueError:
logger.exception('Unable to handle open order')