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Remove custom handling for exit reason stats.

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It's not different from regular tag outputs, really
This commit is contained in:
Matthias 2024-03-30 13:11:59 +01:00
parent 9726c4ae21
commit 36f1111d92
3 changed files with 21 additions and 81 deletions
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7
freqtrade/optimize/optimize_reports/__init__.py
View File

@ -6,13 +6,12 @@ from freqtrade.optimize.optimize_reports.bt_output import (generate_edge_table,
show_sorted_pairlist,
text_table_add_metrics,
text_table_bt_results,
text_table_exit_reason,
text_table_periodic_breakdown,
text_table_strategy, text_table_tags)
from freqtrade.optimize.optimize_reports.bt_storage import (store_backtest_analysis_results,
store_backtest_stats)
from freqtrade.optimize.optimize_reports.optimize_reports import (
generate_all_periodic_breakdown_stats, generate_backtest_stats, generate_daily_stats,
generate_exit_reason_stats, generate_pair_metrics, generate_periodic_breakdown_stats,
generate_rejected_signals, generate_strategy_comparison, generate_strategy_stats,
generate_tag_metrics, generate_trade_signal_candles, generate_trading_stats)
generate_pair_metrics, generate_periodic_breakdown_stats, generate_rejected_signals,
generate_strategy_comparison, generate_strategy_stats, generate_tag_metrics,
generate_trade_signal_candles, generate_trading_stats)

50
freqtrade/optimize/optimize_reports/bt_output.py
View File

@ -1,5 +1,5 @@
import logging
from typing import Any, Dict, List
from typing import Any, Dict, List, Optional
from tabulate import tabulate
@ -60,32 +60,6 @@ def text_table_bt_results(pair_results: List[Dict[str, Any]], stake_currency: st
floatfmt=floatfmt, tablefmt="orgtbl", stralign="right")
def text_table_exit_reason(exit_reason_stats: List[Dict[str, Any]], stake_currency: str) -> str:
"""
Generate small table outlining Backtest results
:param exit_reason_stats: Exit reason metrics
:param stake_currency: Stakecurrency used
:return: pretty printed table with tabulate as string
"""
headers = [
'Exit Reason',
'Exits',
'Win Draws Loss Win%',
'Avg Profit %',
f'Tot Profit {stake_currency}',
'Tot Profit %',
]
output = [[
t.get('exit_reason', t.get('sell_reason')), t['trades'],
generate_wins_draws_losses(t['wins'], t['draws'], t['losses']),
t['profit_mean_pct'],
fmt_coin(t['profit_total_abs'], stake_currency, False),
t['profit_total_pct'],
] for t in exit_reason_stats]
return tabulate(output, headers=headers, tablefmt="orgtbl", stralign="right")
def text_table_tags(tag_type: str, tag_results: List[Dict[str, Any]], stake_currency: str) -> str:
"""
Generates and returns a text table for the given backtest data and the results dataframe
@ -93,20 +67,23 @@ def text_table_tags(tag_type: str, tag_results: List[Dict[str, Any]], stake_curr
:param stake_currency: stake-currency - used to correctly name headers
:return: pretty printed table with tabulate as string
"""
fallback: Optional[str] = None
if (tag_type == "enter_tag"):
headers = _get_line_header("TAG", stake_currency)
else:
headers = _get_line_header("TAG", stake_currency, 'Exits')
headers = _get_line_header("Exit Reason", stake_currency, 'Exits')
fallback = 'exit_reason'
floatfmt = _get_line_floatfmt(stake_currency)
output = [
[
t['key'] if t['key'] is not None and len(
t['key']) > 0 else "OTHER",
t['key'] if t.get('key') is not None and len(
t['key']) > 0 else t.get(fallback, "OTHER"),
t['trades'],
t['profit_mean_pct'],
t['profit_total_abs'],
t['profit_total_pct'],
t['duration_avg'],
t.get('duration_avg'),
generate_wins_draws_losses(
t['wins'],
t['draws'],
@ -317,17 +294,16 @@ def show_backtest_result(strategy: str, results: Dict[str, Any], stake_currency:
print(' LEFT OPEN TRADES REPORT '.center(len(table.splitlines()[0]), '='))
print(table)
if (results.get('results_per_enter_tag') is not None):
table = text_table_tags("enter_tag", results['results_per_enter_tag'], stake_currency)
if (enter_tags := results.get('results_per_enter_tag')) is not None:
table = text_table_tags("enter_tag", enter_tags, stake_currency)
if isinstance(table, str) and len(table) > 0:
print(' ENTER TAG STATS '.center(len(table.splitlines()[0]), '='))
print(table)
exit_reasons = results.get('exit_reason_summary')
if exit_reasons:
table = text_table_exit_reason(exit_reason_stats=exit_reasons,
stake_currency=stake_currency)
if (exit_reasons := results.get('exit_reason_summary')) is not None:
table = text_table_tags("exit_tag", exit_reasons, stake_currency)
if isinstance(table, str) and len(table) > 0:
print(' EXIT REASON STATS '.center(len(table.splitlines()[0]), '='))
print(table)

45
freqtrade/optimize/optimize_reports/optimize_reports.py
View File

@ -6,7 +6,7 @@ from typing import Any, Dict, List, Tuple, Union
import numpy as np
from pandas import DataFrame, Series, concat, to_datetime
from freqtrade.constants import BACKTEST_BREAKDOWNS, DATETIME_PRINT_FORMAT, IntOrInf
from freqtrade.constants import BACKTEST_BREAKDOWNS, DATETIME_PRINT_FORMAT
from freqtrade.data.metrics import (calculate_cagr, calculate_calmar, calculate_csum,
calculate_expectancy, calculate_market_change,
calculate_max_drawdown, calculate_sharpe, calculate_sortino)
@ -154,42 +154,6 @@ def generate_tag_metrics(tag_type: str,
return []
def generate_exit_reason_stats(max_open_trades: IntOrInf, results: DataFrame) -> List[Dict]:
"""
Generate small table outlining Backtest results
:param max_open_trades: Max_open_trades parameter
:param results: Dataframe containing the backtest result for one strategy
:return: List of Dicts containing the metrics per Sell reason
"""
tabular_data = []
for reason, count in results['exit_reason'].value_counts().items():
result = results.loc[results['exit_reason'] == reason]
profit_mean = result['profit_ratio'].mean()
profit_sum = result['profit_ratio'].sum()
profit_total = profit_sum / max_open_trades
tabular_data.append(
{
'exit_reason': reason,
'trades': count,
'wins': len(result[result['profit_abs'] > 0]),
'draws': len(result[result['profit_abs'] == 0]),
'losses': len(result[result['profit_abs'] < 0]),
'winrate': len(result[result['profit_abs'] > 0]) / count if count else 0.0,
'profit_mean': profit_mean,
'profit_mean_pct': round(profit_mean * 100, 2),
'profit_sum': profit_sum,
'profit_sum_pct': round(profit_sum * 100, 2),
'profit_total_abs': result['profit_abs'].sum(),
'profit_total': profit_total,
'profit_total_pct': round(profit_total * 100, 2),
}
)
return tabular_data
def generate_strategy_comparison(bt_stats: Dict) -> List[Dict]:
"""
Generate summary per strategy
@ -383,9 +347,10 @@ def generate_strategy_stats(pairlist: List[str],
enter_tag_results = generate_tag_metrics("enter_tag", starting_balance=start_balance,
results=results, skip_nan=False)
exit_reason_stats = generate_exit_reason_stats(max_open_trades=max_open_trades,
results=results)
exit_reason_stats = generate_tag_metrics('exit_reason', starting_balance=start_balance,
results=results, skip_nan=False)
# exit_reason_stats = generate_exit_reason_stats(max_open_trades=max_open_trades,
# results=results)
left_open_results = generate_pair_metrics(
pairlist, stake_currency=stake_currency, starting_balance=start_balance,
results=results.loc[results['exit_reason'] == 'force_exit'], skip_nan=True)