use date info to calculate trade durations
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192521523f
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@ -33,7 +33,7 @@ def get_timeframe(data: Dict[str, DataFrame]) -> Tuple[arrow.Arrow, arrow.Arrow]
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def generate_text_table(
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data: Dict[str, Dict], results: DataFrame, stake_currency, ticker_interval) -> str:
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data: Dict[str, Dict], results: DataFrame, stake_currency) -> str:
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"""
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Generates and returns a text table for the given backtest data and the results dataframe
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:return: pretty printed table with tabulate as str
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@ -49,7 +49,7 @@ def generate_text_table(
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len(result.index),
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result.profit_percent.mean() * 100.0,
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result.profit_BTC.sum(),
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result.duration.mean() * ticker_interval,
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result.duration.mean(),
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len(result[result.profit_BTC > 0]),
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len(result[result.profit_BTC < 0])
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])
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@ -60,7 +60,7 @@ def generate_text_table(
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len(results.index),
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results.profit_percent.mean() * 100.0,
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results.profit_BTC.sum(),
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results.duration.mean() * ticker_interval,
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results.duration.mean(),
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len(results[results.profit_BTC > 0]),
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len(results[results.profit_BTC < 0])
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])
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@ -91,7 +91,7 @@ def get_sell_trade_entry(pair, row, buy_subset, ticker, trade_count_lock, args):
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return row2, (pair,
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trade.calc_profit_percent(rate=row2.close),
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trade.calc_profit(rate=row2.close),
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row2.Index - row.Index
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(row2.date - row.date).seconds // 60
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), row2.date
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return None
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@ -231,5 +231,5 @@ def start(args):
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})
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logger.info(
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'\n==================================== BACKTESTING REPORT ====================================\n%s', # noqa
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generate_text_table(data, results, config['stake_currency'], strategy.ticker_interval)
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generate_text_table(data, results, config['stake_currency'])
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)
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@ -406,7 +406,7 @@ def optimizer(params):
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total_profit = results.profit_percent.sum()
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trade_count = len(results.index)
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trade_duration = results.duration.mean() * 5
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trade_duration = results.duration.mean()
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if trade_count == 0 or trade_duration > MAX_ACCEPTED_TRADE_DURATION:
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print('.', end='')
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@ -29,12 +29,12 @@ def test_generate_text_table():
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'loss': [0, 0]
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}
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)
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print(generate_text_table({'BTC_ETH': {}}, results, 'BTC', 5))
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assert generate_text_table({'BTC_ETH': {}}, results, 'BTC', 5) == (
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print(generate_text_table({'BTC_ETH': {}}, results, 'BTC'))
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assert generate_text_table({'BTC_ETH': {}}, results, 'BTC') == (
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'pair buy count avg profit % total profit BTC avg duration profit loss\n' # noqa
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'------- ----------- -------------- ------------------ -------------- -------- ------\n' # noqa
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'BTC_ETH 2 15.00 0.60000000 100.0 2 0\n' # noqa
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'TOTAL 2 15.00 0.60000000 100.0 2 0') # noqa
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'BTC_ETH 2 15.00 0.60000000 20.0 2 0\n' # noqa
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'TOTAL 2 15.00 0.60000000 20.0 2 0') # noqa
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def test_get_timeframe(default_strategy):
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