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Add CAGR calculation to backtesting

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Matthias
2022-04-25 10:51:11 +02:00
parent 7b02114ad2
commit 4143ebbeae
4 changed files with 36 additions and 8 deletions
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4
freqtrade/optimize/optimize_reports.py
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@@ -9,7 +9,7 @@ from pandas import DataFrame, to_datetime
from tabulate import tabulate
from freqtrade.constants import DATETIME_PRINT_FORMAT, LAST_BT_RESULT_FN, UNLIMITED_STAKE_AMOUNT
from freqtrade.data.btanalysis import (calculate_csum, calculate_market_change,
from freqtrade.data.btanalysis import (calculate_cagr, calculate_csum, calculate_market_change,
calculate_max_drawdown)
from freqtrade.misc import (decimals_per_coin, file_dump_joblib, file_dump_json,
get_backtest_metadata_filename, round_coin_value)
@@ -446,6 +446,7 @@ def generate_strategy_stats(pairlist: List[str],
'profit_total_abs': results['profit_abs'].sum(),
'profit_total_long_abs': results.loc[~results['is_short'], 'profit_abs'].sum(),
'profit_total_short_abs': results.loc[results['is_short'], 'profit_abs'].sum(),
'cagr': calculate_cagr(backtest_days, start_balance, content['final_balance']),
'backtest_start': min_date.strftime(DATETIME_PRINT_FORMAT),
'backtest_start_ts': int(min_date.timestamp() * 1000),
'backtest_end': max_date.strftime(DATETIME_PRINT_FORMAT),
@@ -746,6 +747,7 @@ def text_table_add_metrics(strat_results: Dict) -> str:
('Absolute profit ', round_coin_value(strat_results['profit_total_abs'],
strat_results['stake_currency'])),
('Total profit %', f"{strat_results['profit_total']:.2%}"),
('CAGR %', f"{strat_results['cagr']:.2%}"),
('Trades per day', strat_results['trades_per_day']),
('Avg. daily profit %',
f"{(strat_results['profit_total'] / strat_results['backtest_days']):.2%}"),