Split optimize generation from printing
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Matthias
parent
b50d072d82
commit
9d1ad70bb7
@ -1,7 +1,7 @@
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import logging
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from datetime import timedelta
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from pathlib import Path
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from typing import Dict
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from typing import Dict, Tuple, List
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from pandas import DataFrame
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from tabulate import tabulate
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@ -34,6 +34,65 @@ def store_backtest_result(recordfilename: Path, all_results: Dict[str, DataFrame
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file_dump_json(filename, records)
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def _get_line_header(first_column: str, stake_currency: str) -> List[str]:
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"""
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Generate header lines (goes in line with _generate_result_line())
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"""
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return [first_column, 'Buys', 'Avg Profit %', 'Cum Profit %',
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f'Tot Profit {stake_currency}', 'Tot Profit %', 'Avg Duration',
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'Wins', 'Draws', 'Losses']
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def _generate_result_line(result: DataFrame, max_open_trades: int, first_column: str) -> List:
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"""
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Generate One Result line.
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Columns are:
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first_column
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'Buys', 'Avg Profit %', 'Cum Profit %', f'Tot Profit',
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'Tot Profit %', 'Avg Duration', 'Wins', 'Draws', 'Losses'
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"""
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return [
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first_column,
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len(result.index),
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result.profit_percent.mean() * 100.0,
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result.profit_percent.sum() * 100.0,
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result.profit_abs.sum(),
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result.profit_percent.sum() * 100.0 / max_open_trades,
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str(timedelta(
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minutes=round(result.trade_duration.mean()))) if not result.empty else '0:00',
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len(result[result.profit_abs > 0]),
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len(result[result.profit_abs == 0]),
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len(result[result.profit_abs < 0])
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]
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def _generate_pair_results(data: Dict[str, Dict], stake_currency: str, max_open_trades: int,
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results: DataFrame, skip_nan: bool = False) -> Tuple:
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"""
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Generates and returns a list for the given backtest data and the results dataframe
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:param data: Dict of <pair: dataframe> containing data that was used during backtesting.
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:param stake_currency: stake-currency - used to correctly name headers
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:param max_open_trades: Maximum allowed open trades
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:param results: Dataframe containing the backtest results
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:param skip_nan: Print "left open" open trades
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:return: Tuple of (data, headers, floatfmt) of summarized results.
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"""
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floatfmt = ('s', 'd', '.2f', '.2f', '.8f', '.2f', 'd', 'd', 'd', 'd')
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tabular_data = []
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headers = _get_line_header('Pair', stake_currency)
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for pair in data:
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result = results[results.pair == pair]
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if skip_nan and result.profit_abs.isnull().all():
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continue
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tabular_data.append(_generate_result_line(result, max_open_trades, pair))
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# Append Total
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tabular_data.append(_generate_result_line(results, max_open_trades, 'TOTAL'))
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return tabular_data, headers, floatfmt
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def generate_text_table(data: Dict[str, Dict], stake_currency: str, max_open_trades: int,
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results: DataFrame, skip_nan: bool = False) -> str:
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"""
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@ -46,66 +105,21 @@ def generate_text_table(data: Dict[str, Dict], stake_currency: str, max_open_tra
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:return: pretty printed table with tabulate as string
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"""
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floatfmt = ('s', 'd', '.2f', '.2f', '.8f', '.2f', 'd', '.1f', '.1f')
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tabular_data = []
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headers = [
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'Pair',
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'Buys',
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'Avg Profit %',
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'Cum Profit %',
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f'Tot Profit {stake_currency}',
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'Tot Profit %',
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'Avg Duration',
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'Wins',
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'Draws',
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'Losses'
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]
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for pair in data:
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result = results[results.pair == pair]
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if skip_nan and result.profit_abs.isnull().all():
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continue
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tabular_data.append([
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pair,
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len(result.index),
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result.profit_percent.mean() * 100.0,
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result.profit_percent.sum() * 100.0,
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result.profit_abs.sum(),
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result.profit_percent.sum() * 100.0 / max_open_trades,
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str(timedelta(
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minutes=round(result.trade_duration.mean()))) if not result.empty else '0:00',
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len(result[result.profit_abs > 0]),
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len(result[result.profit_abs == 0]),
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len(result[result.profit_abs < 0])
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])
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# Append Total
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tabular_data.append([
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'TOTAL',
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len(results.index),
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results.profit_percent.mean() * 100.0,
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results.profit_percent.sum() * 100.0,
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results.profit_abs.sum(),
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results.profit_percent.sum() * 100.0 / max_open_trades,
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str(timedelta(
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minutes=round(results.trade_duration.mean()))) if not results.empty else '0:00',
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len(results[results.profit_abs > 0]),
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len(results[results.profit_abs == 0]),
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len(results[results.profit_abs < 0])
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])
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tabular_data, headers, floatfmt = _generate_pair_results(data, stake_currency, max_open_trades,
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results, skip_nan)
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# Ignore type as floatfmt does allow tuples but mypy does not know that
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return tabulate(tabular_data, headers=headers,
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floatfmt=floatfmt, tablefmt="orgtbl", stralign="right") # type: ignore
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def generate_text_table_sell_reason(stake_currency: str, max_open_trades: int,
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results: DataFrame) -> str:
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def _generate_text_table_sell_reason(stake_currency: str, max_open_trades: int,
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results: DataFrame) -> Tuple:
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"""
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Generate small table outlining Backtest results
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:param stake_currency: Stakecurrency used
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:param max_open_trades: Max_open_trades parameter
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:param results: Dataframe containing the backtest results
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:return: pretty printed table with tabulate as string
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:param results: Dataframe containing the backtest result
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:return: Tuple of (List, Headers) containing the summary
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"""
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tabular_data = []
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headers = [
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@ -141,9 +155,43 @@ def generate_text_table_sell_reason(stake_currency: str, max_open_trades: int,
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profit_percent_tot,
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]
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)
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return tabular_data, headers
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def generate_text_table_sell_reason(stake_currency: str,
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max_open_trades: int, results: DataFrame) -> str:
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"""
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Generate small table outlining Backtest results
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:param stake_currency: Stakecurrency used
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:param max_open_trades: Max_open_trades parameter
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:param results: Dataframe containing the backtest result
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:return: pretty printed table with tabulate as string
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"""
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tabular_data, headers = _generate_text_table_sell_reason(stake_currency,
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max_open_trades, results)
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return tabulate(tabular_data, headers=headers, tablefmt="orgtbl", stralign="right")
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def _generate_strategy_summary(stake_currency: str, max_open_trades: str,
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all_results: Dict) -> Tuple[List, List, List]:
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"""
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Generate summary per strategy
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:param stake_currency: stake-currency - used to correctly name headers
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:param max_open_trades: Maximum allowed open trades used for backtest
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:param all_results: Dict of <Strategyname: BacktestResult> containing results for all strategies
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:return: Tuple of (data, headers, floatfmt) of summarized results.
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"""
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floatfmt = ('s', 'd', '.2f', '.2f', '.8f', '.2f', 'd', 'd', 'd', 'd')
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tabular_data = []
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headers = _get_line_header('Strategy', stake_currency)
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for strategy, results in all_results.items():
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tabular_data.append(_generate_result_line(results, max_open_trades, strategy))
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return tabular_data, headers, floatfmt
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def generate_text_table_strategy(stake_currency: str, max_open_trades: str,
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all_results: Dict) -> str:
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"""
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@ -154,25 +202,8 @@ def generate_text_table_strategy(stake_currency: str, max_open_trades: str,
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:return: pretty printed table with tabulate as string
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"""
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floatfmt = ('s', 'd', '.2f', '.2f', '.8f', '.2f', 'd', '.1f', '.1f')
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tabular_data = []
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headers = ['Strategy', 'Buys', 'Avg Profit %', 'Cum Profit %',
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f'Tot Profit {stake_currency}', 'Tot Profit %', 'Avg Duration',
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'Wins', 'Draws', 'Losses']
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for strategy, results in all_results.items():
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tabular_data.append([
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strategy,
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len(results.index),
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results.profit_percent.mean() * 100.0,
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results.profit_percent.sum() * 100.0,
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results.profit_abs.sum(),
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results.profit_percent.sum() * 100.0 / max_open_trades,
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str(timedelta(
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minutes=round(results.trade_duration.mean()))) if not results.empty else '0:00',
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len(results[results.profit_abs > 0]),
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len(results[results.profit_abs == 0]),
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len(results[results.profit_abs < 0])
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])
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tabular_data, headers, floatfmt = _generate_strategy_summary(stake_currency,
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max_open_trades, all_results)
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# Ignore type as floatfmt does allow tuples but mypy does not know that
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return tabulate(tabular_data, headers=headers,
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floatfmt=floatfmt, tablefmt="orgtbl", stralign="right") # type: ignore
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@ -180,7 +211,7 @@ def generate_text_table_strategy(stake_currency: str, max_open_trades: str,
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def generate_edge_table(results: dict) -> str:
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floatfmt = ('s', '.10g', '.2f', '.2f', '.2f', '.2f', 'd', '.d')
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floatfmt = ('s', '.10g', '.2f', '.2f', '.2f', '.2f', 'd', 'd', 'd')
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tabular_data = []
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headers = ['Pair', 'Stoploss', 'Win Rate', 'Risk Reward Ratio',
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'Required Risk Reward', 'Expectancy', 'Total Number of Trades',
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@ -233,6 +264,7 @@ def show_backtest_results(config: Dict, btdata: Dict[str, DataFrame],
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if isinstance(table, str):
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print('=' * len(table.splitlines()[0]))
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print()
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if len(all_results) > 1:
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# Print Strategy summary table
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table = generate_text_table_strategy(config['stake_currency'],
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