From 7a2b50ce8be62fc9c071a2300b26cf7f68f2cc2c Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 4 Jan 2022 15:57:58 +0100 Subject: [PATCH 01/25] Update drawdown calculation to account drawdown --- docs/backtesting.md | 7 ++++--- freqtrade/data/btanalysis.py | 24 ++++++++++++++++++------ freqtrade/optimize/optimize_reports.py | 13 ++++++------- freqtrade/plot/plotting.py | 2 +- 4 files changed, 29 insertions(+), 17 deletions(-) diff --git a/docs/backtesting.md b/docs/backtesting.md index ad62c84b3..64480acd9 100644 --- a/docs/backtesting.md +++ b/docs/backtesting.md @@ -312,7 +312,7 @@ A backtesting result will look like that: | | | | Min balance | 0.00945123 BTC | | Max balance | 0.01846651 BTC | -| Drawdown | 50.63% | +| Drawdown (Account) | 13.33% | | Drawdown | 0.0015 BTC | | Drawdown high | 0.0013 BTC | | Drawdown low | -0.0002 BTC | @@ -399,7 +399,7 @@ It contains some useful key metrics about performance of your strategy on backte | | | | Min balance | 0.00945123 BTC | | Max balance | 0.01846651 BTC | -| Drawdown | 50.63% | +| Drawdown (Account) | 13.33% | | Drawdown | 0.0015 BTC | | Drawdown high | 0.0013 BTC | | Drawdown low | -0.0002 BTC | @@ -426,7 +426,8 @@ It contains some useful key metrics about performance of your strategy on backte - `Avg. Duration Winners` / `Avg. Duration Loser`: Average durations for winning and losing trades. - `Rejected Buy signals`: Buy signals that could not be acted upon due to max_open_trades being reached. - `Min balance` / `Max balance`: Lowest and Highest Wallet balance during the backtest period. -- `Drawdown`: Maximum drawdown experienced. For example, the value of 50% means that from highest to subsequent lowest point, a 50% drop was experienced). +- `Drawdown (Account)`: Maximum Account Drawdown experienced. Calculated as $(Absolute Drawdown) / (DrawdownHigh + startingBalance)$. +- `Drawdown`: Maximum, absolute drawdown experienced. Difference between Drawdown High and Low. - `Drawdown high` / `Drawdown low`: Profit at the beginning and end of the largest drawdown period. A negative low value means initial capital lost. - `Drawdown Start` / `Drawdown End`: Start and end datetime for this largest drawdown (can also be visualized via the `plot-dataframe` sub-command). - `Market change`: Change of the market during the backtest period. Calculated as average of all pairs changes from the first to the last candle using the "close" column. diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index 56c16f966..2f991d247 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -392,15 +392,17 @@ def calculate_underwater(trades: pd.DataFrame, *, date_col: str = 'close_date', def calculate_max_drawdown(trades: pd.DataFrame, *, date_col: str = 'close_date', - value_col: str = 'profit_ratio' - ) -> Tuple[float, pd.Timestamp, pd.Timestamp, float, float]: + value_col: str = 'profit_abs', starting_balance: float = 0 + ) -> Tuple[float, pd.Timestamp, pd.Timestamp, float, float, float]: """ Calculate max drawdown and the corresponding close dates :param trades: DataFrame containing trades (requires columns close_date and profit_ratio) :param date_col: Column in DataFrame to use for dates (defaults to 'close_date') - :param value_col: Column in DataFrame to use for values (defaults to 'profit_ratio') - :return: Tuple (float, highdate, lowdate, highvalue, lowvalue) with absolute max drawdown, - high and low time and high and low value. + :param value_col: Column in DataFrame to use for values (defaults to 'profit_abs') + :param starting_balance: Portfolio starting balance - properly calculate relative drawdown. + :return: Tuple (float, highdate, lowdate, highvalue, lowvalue, relative_drawdown) + with absolute max drawdown, high and low time and high and low value, + and the relative account drawdown :raise: ValueError if trade-dataframe was found empty. """ if len(trades) == 0: @@ -416,7 +418,17 @@ def calculate_max_drawdown(trades: pd.DataFrame, *, date_col: str = 'close_date' high_val = max_drawdown_df.loc[max_drawdown_df.iloc[:idxmin] ['high_value'].idxmax(), 'cumulative'] low_val = max_drawdown_df.loc[idxmin, 'cumulative'] - return abs(min(max_drawdown_df['drawdown'])), high_date, low_date, high_val, low_val + + max_drawdown_rel = (high_val - low_val) / (high_val + starting_balance) + + return ( + abs(min(max_drawdown_df['drawdown'])), + high_date, + low_date, + high_val, + low_val, + max_drawdown_rel + ) def calculate_csum(trades: pd.DataFrame, starting_balance: float = 0) -> Tuple[float, float]: diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index dcd6b4e1f..c083f969d 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -462,12 +462,11 @@ def generate_strategy_stats(btdata: Dict[str, DataFrame], } try: - max_drawdown, _, _, _, _ = calculate_max_drawdown( - results, value_col='profit_ratio') - drawdown_abs, drawdown_start, drawdown_end, high_val, low_val = calculate_max_drawdown( - results, value_col='profit_abs') + (drawdown_abs, drawdown_start, drawdown_end, high_val, low_val, + max_drawdown) = calculate_max_drawdown( + results, value_col='profit_abs', starting_balance=starting_balance) strat_stats.update({ - 'max_drawdown': max_drawdown, + 'max_drawdown_account': max_drawdown, 'max_drawdown_abs': drawdown_abs, 'drawdown_start': drawdown_start.strftime(DATETIME_PRINT_FORMAT), 'drawdown_start_ts': drawdown_start.timestamp() * 1000, @@ -486,7 +485,7 @@ def generate_strategy_stats(btdata: Dict[str, DataFrame], except ValueError: strat_stats.update({ - 'max_drawdown': 0.0, + 'max_drawdown_account': 0.0, 'max_drawdown_abs': 0.0, 'max_drawdown_low': 0.0, 'max_drawdown_high': 0.0, @@ -716,7 +715,7 @@ def text_table_add_metrics(strat_results: Dict) -> str: ('Max balance', round_coin_value(strat_results['csum_max'], strat_results['stake_currency'])), - ('Drawdown', f"{strat_results['max_drawdown']:.2%}"), + ('Drawdown (Account)', f"{strat_results['max_drawdown_account']:.2%}"), ('Drawdown', round_coin_value(strat_results['max_drawdown_abs'], strat_results['stake_currency'])), ('Drawdown high', round_coin_value(strat_results['max_drawdown_high'], diff --git a/freqtrade/plot/plotting.py b/freqtrade/plot/plotting.py index c0888808f..3769d4c5a 100644 --- a/freqtrade/plot/plotting.py +++ b/freqtrade/plot/plotting.py @@ -161,7 +161,7 @@ def add_max_drawdown(fig, row, trades: pd.DataFrame, df_comb: pd.DataFrame, Add scatter points indicating max drawdown """ try: - max_drawdown, highdate, lowdate, _, _ = calculate_max_drawdown(trades) + _, highdate, lowdate, _, _, max_drawdown = calculate_max_drawdown(trades) drawdown = go.Scatter( x=[highdate, lowdate], From 09fae25c9426cd03df2f2d031d16a6e3b1533a55 Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 4 Jan 2022 16:16:08 +0100 Subject: [PATCH 02/25] Fix some tests after drawdown calculation change --- freqtrade/optimize/hyperopt_loss_calmar.py | 3 +-- .../protections/max_drawdown_protection.py | 3 ++- tests/data/test_btanalysis.py | 15 ++++++++------- tests/optimize/test_optimize_reports.py | 6 +++--- tests/test_plotting.py | 2 +- 5 files changed, 15 insertions(+), 14 deletions(-) diff --git a/freqtrade/optimize/hyperopt_loss_calmar.py b/freqtrade/optimize/hyperopt_loss_calmar.py index ace08794a..846dae9ea 100644 --- a/freqtrade/optimize/hyperopt_loss_calmar.py +++ b/freqtrade/optimize/hyperopt_loss_calmar.py @@ -47,10 +47,9 @@ class CalmarHyperOptLoss(IHyperOptLoss): # calculate max drawdown try: - _, _, _, high_val, low_val = calculate_max_drawdown( + _, _, _, _, _, max_drawdown = calculate_max_drawdown( results, value_col="profit_abs" ) - max_drawdown = (high_val - low_val) / high_val except ValueError: max_drawdown = 0 diff --git a/freqtrade/plugins/protections/max_drawdown_protection.py b/freqtrade/plugins/protections/max_drawdown_protection.py index 67e204039..c5d390f52 100644 --- a/freqtrade/plugins/protections/max_drawdown_protection.py +++ b/freqtrade/plugins/protections/max_drawdown_protection.py @@ -55,7 +55,8 @@ class MaxDrawdown(IProtection): # Drawdown is always positive try: - drawdown, _, _, _, _ = calculate_max_drawdown(trades_df, value_col='close_profit') + # TODO: This should use absolute profit calculation, considering account balance. + drawdown, _, _, _, _, _ = calculate_max_drawdown(trades_df, value_col='close_profit') except ValueError: return False, None, None diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index 47f1b8849..8df0daa15 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -280,23 +280,23 @@ def test_create_cum_profit1(testdatadir): def test_calculate_max_drawdown(testdatadir): - filename = testdatadir / "backtest-result_test.json" + filename = testdatadir / "backtest-result_new.json" bt_data = load_backtest_data(filename) - drawdown, hdate, lowdate, hval, lval = calculate_max_drawdown(bt_data) + drawdown_abs, hdate, lowdate, hval, lval, drawdown = calculate_max_drawdown(bt_data, value_col="profit_abs") assert isinstance(drawdown, float) - assert pytest.approx(drawdown) == 0.21142322 + assert pytest.approx(drawdown) == 0.59495234 assert isinstance(hdate, Timestamp) assert isinstance(lowdate, Timestamp) assert isinstance(hval, float) assert isinstance(lval, float) - assert hdate == Timestamp('2018-01-24 14:25:00', tz='UTC') - assert lowdate == Timestamp('2018-01-30 04:45:00', tz='UTC') + assert hdate == Timestamp('2018-01-25 01:30:00', tz='UTC') + assert lowdate == Timestamp('2018-01-30 094:45:00', tz='UTC') underwater = calculate_underwater(bt_data) assert isinstance(underwater, DataFrame) with pytest.raises(ValueError, match='Trade dataframe empty.'): - drawdown, hdate, lowdate, hval, lval = calculate_max_drawdown(DataFrame()) + calculate_max_drawdown(DataFrame()) with pytest.raises(ValueError, match='Trade dataframe empty.'): calculate_underwater(DataFrame()) @@ -331,12 +331,13 @@ def test_calculate_max_drawdown2(): # sort by profit and reset index df = df.sort_values('profit').reset_index(drop=True) df1 = df.copy() - drawdown, hdate, ldate, hval, lval = calculate_max_drawdown( + drawdown, hdate, ldate, hval, lval, drawdown_rel = calculate_max_drawdown( df, date_col='open_date', value_col='profit') # Ensure df has not been altered. assert df.equals(df1) assert isinstance(drawdown, float) + assert isinstance(drawdown_rel, float) # High must be before low assert hdate < ldate # High value must be higher than low value diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index e56572522..f9ab50877 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -103,7 +103,7 @@ def test_generate_backtest_stats(default_conf, testdatadir, tmpdir): assert strat_stats['backtest_end'] == max_date.strftime(DATETIME_PRINT_FORMAT) assert strat_stats['total_trades'] == len(results['DefStrat']['results']) # Above sample had no loosing trade - assert strat_stats['max_drawdown'] == 0.0 + assert strat_stats['max_drawdown_account'] == 0.0 # Retry with losing trade results = {'DefStrat': { @@ -143,7 +143,7 @@ def test_generate_backtest_stats(default_conf, testdatadir, tmpdir): assert 'strategy_comparison' in stats strat_stats = stats['strategy']['DefStrat'] - assert strat_stats['max_drawdown'] == 0.013803 + assert pytest.approx(strat_stats['max_drawdown_account']) == 1.399999e-08 assert strat_stats['drawdown_start'] == '2017-11-14 22:10:00' assert strat_stats['drawdown_end'] == '2017-11-14 22:43:00' assert strat_stats['drawdown_end_ts'] == 1510699380000 @@ -165,7 +165,7 @@ def test_generate_backtest_stats(default_conf, testdatadir, tmpdir): filename1 = Path(tmpdir / last_fn) assert filename1.is_file() content = filename1.read_text() - assert 'max_drawdown' in content + assert 'max_drawdown_account' in content assert 'strategy' in content assert 'pairlist' in content diff --git a/tests/test_plotting.py b/tests/test_plotting.py index 40a76d04e..c1f7d0876 100644 --- a/tests/test_plotting.py +++ b/tests/test_plotting.py @@ -343,7 +343,7 @@ def test_generate_profit_graph(testdatadir): profit = find_trace_in_fig_data(figure.data, "Profit") assert isinstance(profit, go.Scatter) - drawdown = find_trace_in_fig_data(figure.data, "Max drawdown 10.45%") + drawdown = find_trace_in_fig_data(figure.data, "Max drawdown 35.69%") assert isinstance(drawdown, go.Scatter) parallel = find_trace_in_fig_data(figure.data, "Parallel trades") assert isinstance(parallel, go.Scatter) From 4d9b4ddc286c1a6c0ef3a34f003be726aa202c12 Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 4 Jan 2022 17:31:59 +0100 Subject: [PATCH 03/25] Update hyperopt-tools to use account drawdown --- freqtrade/optimize/hyperopt_tools.py | 43 ++++++++++++++------------ freqtrade/optimize/optimize_reports.py | 4 +++ tests/conftest.py | 22 ++++++------- tests/data/test_btanalysis.py | 5 +-- 4 files changed, 41 insertions(+), 33 deletions(-) diff --git a/freqtrade/optimize/hyperopt_tools.py b/freqtrade/optimize/hyperopt_tools.py index ca4b43e11..5eac47ba0 100755 --- a/freqtrade/optimize/hyperopt_tools.py +++ b/freqtrade/optimize/hyperopt_tools.py @@ -308,8 +308,7 @@ class HyperoptTools(): if not has_drawdown: # Ensure compatibility with older versions of hyperopt results - trials['results_metrics.max_drawdown_abs'] = None - trials['results_metrics.max_drawdown'] = None + trials['results_metrics.max_drawdown_account'] = None # New mode, using backtest result for metrics trials['results_metrics.winsdrawslosses'] = trials.apply( @@ -320,12 +319,15 @@ class HyperoptTools(): 'results_metrics.winsdrawslosses', 'results_metrics.profit_mean', 'results_metrics.profit_total_abs', 'results_metrics.profit_total', 'results_metrics.holding_avg', - 'results_metrics.max_drawdown', 'results_metrics.max_drawdown_abs', + 'results_metrics.max_drawdown', + 'results_metrics.max_drawdown_account', 'results_metrics.max_drawdown_abs', 'loss', 'is_initial_point', 'is_best']] - trials.columns = ['Best', 'Epoch', 'Trades', ' Win Draw Loss', 'Avg profit', - 'Total profit', 'Profit', 'Avg duration', 'Max Drawdown', - 'max_drawdown_abs', 'Objective', 'is_initial_point', 'is_best'] + trials.columns = [ + 'Best', 'Epoch', 'Trades', ' Win Draw Loss', 'Avg profit', + 'Total profit', 'Profit', 'Avg duration', 'max_drawdown', 'max_drawdown_account', + 'max_drawdown_abs', 'Objective', 'is_initial_point', 'is_best' + ] return trials @@ -341,9 +343,9 @@ class HyperoptTools(): tabulate.PRESERVE_WHITESPACE = True trials = json_normalize(results, max_level=1) - has_drawdown = 'results_metrics.max_drawdown_abs' in trials.columns + has_account_drawdown = 'results_metrics.max_drawdown_account' in trials.columns - trials = HyperoptTools.prepare_trials_columns(trials, has_drawdown) + trials = HyperoptTools.prepare_trials_columns(trials, has_account_drawdown) trials['is_profit'] = False trials.loc[trials['is_initial_point'], 'Best'] = '* ' @@ -368,19 +370,20 @@ class HyperoptTools(): stake_currency = config['stake_currency'] - if has_drawdown: - trials['Max Drawdown'] = trials.apply( - lambda x: '{} {}'.format( - round_coin_value(x['max_drawdown_abs'], stake_currency), - f"({x['Max Drawdown']:,.2%})".rjust(10, ' ') - ).rjust(25 + len(stake_currency)) - if x['Max Drawdown'] != 0.0 else '--'.rjust(25 + len(stake_currency)), - axis=1 - ) - else: - trials = trials.drop(columns=['Max Drawdown']) + trials[f"Max Drawdown{' (Acct)' if has_account_drawdown else ''}"] = trials.apply( + lambda x: "{} {}".format( + round_coin_value(x['max_drawdown_abs'], stake_currency), + (f"({x['max_drawdown_account']:,.2%})" + if has_account_drawdown + else f"({x['max_drawdown']:,.2%})" + ).rjust(10, ' ') + ).rjust(25 + len(stake_currency)) + if x['max_drawdown'] != 0.0 or x['max_drawdown_account'] != 0.0 + else '--'.rjust(25 + len(stake_currency)), + axis=1 + ) - trials = trials.drop(columns=['max_drawdown_abs']) + trials = trials.drop(columns=['max_drawdown_abs', 'max_drawdown', 'max_drawdown_account']) trials['Profit'] = trials.apply( lambda x: '{} {}'.format( diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index c083f969d..239b05a83 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -462,10 +462,13 @@ def generate_strategy_stats(btdata: Dict[str, DataFrame], } try: + max_drawdown_legacy, _, _, _, _, _ = calculate_max_drawdown( + results, value_col='profit_ratio') (drawdown_abs, drawdown_start, drawdown_end, high_val, low_val, max_drawdown) = calculate_max_drawdown( results, value_col='profit_abs', starting_balance=starting_balance) strat_stats.update({ + 'max_drawdown': max_drawdown_legacy, # Deprecated - do not use 'max_drawdown_account': max_drawdown, 'max_drawdown_abs': drawdown_abs, 'drawdown_start': drawdown_start.strftime(DATETIME_PRINT_FORMAT), @@ -485,6 +488,7 @@ def generate_strategy_stats(btdata: Dict[str, DataFrame], except ValueError: strat_stats.update({ + 'max_drawdown': 0.0, 'max_drawdown_account': 0.0, 'max_drawdown_abs': 0.0, 'max_drawdown_low': 0.0, diff --git a/tests/conftest.py b/tests/conftest.py index 9cd1332d4..20e027c2e 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -2020,7 +2020,7 @@ def saved_hyperopt_results(): 'params_dict': { 'mfi-value': 15, 'fastd-value': 20, 'adx-value': 25, 'rsi-value': 28, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 88, 'sell-fastd-value': 97, 'sell-adx-value': 51, 'sell-rsi-value': 67, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1190, 'roi_t2': 541, 'roi_t3': 408, 'roi_p1': 0.026035863879169705, 'roi_p2': 0.12508730043628782, 'roi_p3': 0.27766427921605896, 'stoploss': -0.2562930402099556}, # noqa: E501 'params_details': {'buy': {'mfi-value': 15, 'fastd-value': 20, 'adx-value': 25, 'rsi-value': 28, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 88, 'sell-fastd-value': 97, 'sell-adx-value': 51, 'sell-rsi-value': 67, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.4287874435315165, 408: 0.15112316431545753, 949: 0.026035863879169705, 2139: 0}, 'stoploss': {'stoploss': -0.2562930402099556}}, # noqa: E501 - 'results_metrics': {'total_trades': 2, 'wins': 0, 'draws': 0, 'losses': 2, 'profit_mean': -0.01254995, 'profit_median': -0.012222, 'profit_total': -0.00125625, 'profit_total_abs': -2.50999, 'holding_avg': timedelta(minutes=3930.0), 'stake_currency': 'BTC', 'strategy_name': 'SampleStrategy'}, # noqa: E501 + 'results_metrics': {'total_trades': 2, 'wins': 0, 'draws': 0, 'losses': 2, 'profit_mean': -0.01254995, 'profit_median': -0.012222, 'profit_total': -0.00125625, 'profit_total_abs': -2.50999, 'max_drawdown': 0.23, 'max_drawdown_abs': -0.00125625, 'holding_avg': timedelta(minutes=3930.0), 'stake_currency': 'BTC', 'strategy_name': 'SampleStrategy'}, # noqa: E501 'results_explanation': ' 2 trades. Avg profit -1.25%. Total profit -0.00125625 BTC ( -2.51Σ%). Avg duration 3930.0 min.', # noqa: E501 'total_profit': -0.00125625, 'current_epoch': 1, @@ -2036,7 +2036,7 @@ def saved_hyperopt_results(): 'sell': {'sell-mfi-value': 96, 'sell-fastd-value': 68, 'sell-adx-value': 63, 'sell-rsi-value': 81, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal'}, # noqa: E501 'roi': {0: 0.4449309386008759, 140: 0.11955965746663, 823: 0.06403981740598495, 1157: 0}, # noqa: E501 'stoploss': {'stoploss': -0.338070047333259}}, - 'results_metrics': {'total_trades': 1, 'wins': 0, 'draws': 0, 'losses': 1, 'profit_mean': 0.012357, 'profit_median': -0.012222, 'profit_total': 6.185e-05, 'profit_total_abs': 0.12357, 'holding_avg': timedelta(minutes=1200.0)}, # noqa: E501 + 'results_metrics': {'total_trades': 1, 'wins': 0, 'draws': 0, 'losses': 1, 'profit_mean': 0.012357, 'profit_median': -0.012222, 'profit_total': 6.185e-05, 'profit_total_abs': 0.12357, 'max_drawdown': 0.23, 'max_drawdown_abs': -0.00125625, 'holding_avg': timedelta(minutes=1200.0)}, # noqa: E501 'results_explanation': ' 1 trades. Avg profit 0.12%. Total profit 0.00006185 BTC ( 0.12Σ%). Avg duration 1200.0 min.', # noqa: E501 'total_profit': 6.185e-05, 'current_epoch': 2, @@ -2046,7 +2046,7 @@ def saved_hyperopt_results(): 'loss': 14.241196856510731, 'params_dict': {'mfi-value': 25, 'fastd-value': 16, 'adx-value': 29, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 98, 'sell-fastd-value': 72, 'sell-adx-value': 51, 'sell-rsi-value': 82, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 889, 'roi_t2': 533, 'roi_t3': 263, 'roi_p1': 0.04759065393663096, 'roi_p2': 0.1488819964638463, 'roi_p3': 0.4102801822104605, 'stoploss': -0.05394588767607611}, # noqa: E501 'params_details': {'buy': {'mfi-value': 25, 'fastd-value': 16, 'adx-value': 29, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 98, 'sell-fastd-value': 72, 'sell-adx-value': 51, 'sell-rsi-value': 82, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.6067528326109377, 263: 0.19647265040047726, 796: 0.04759065393663096, 1685: 0}, 'stoploss': {'stoploss': -0.05394588767607611}}, # noqa: E501 - 'results_metrics': {'total_trades': 621, 'wins': 320, 'draws': 0, 'losses': 301, 'profit_mean': -0.043883302093397747, 'profit_median': -0.012222, 'profit_total': -0.13639474, 'profit_total_abs': -272.515306, 'holding_avg': timedelta(minutes=1691.207729468599)}, # noqa: E501 + 'results_metrics': {'total_trades': 621, 'wins': 320, 'draws': 0, 'losses': 301, 'profit_mean': -0.043883302093397747, 'profit_median': -0.012222, 'profit_total': -0.13639474, 'profit_total_abs': -272.515306, 'max_drawdown': 0.25, 'max_drawdown_abs': -272.515306, 'holding_avg': timedelta(minutes=1691.207729468599)}, # noqa: E501 'results_explanation': ' 621 trades. Avg profit -0.44%. Total profit -0.13639474 BTC (-272.52Σ%). Avg duration 1691.2 min.', # noqa: E501 'total_profit': -0.13639474, 'current_epoch': 3, @@ -2063,7 +2063,7 @@ def saved_hyperopt_results(): 'loss': 0.22195522184191518, 'params_dict': {'mfi-value': 17, 'fastd-value': 21, 'adx-value': 38, 'rsi-value': 33, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 87, 'sell-fastd-value': 82, 'sell-adx-value': 78, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 1269, 'roi_t2': 601, 'roi_t3': 444, 'roi_p1': 0.07280999507931168, 'roi_p2': 0.08946698095898986, 'roi_p3': 0.1454876733325284, 'stoploss': -0.18181041180901014}, # noqa: E501 'params_details': {'buy': {'mfi-value': 17, 'fastd-value': 21, 'adx-value': 38, 'rsi-value': 33, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 87, 'sell-fastd-value': 82, 'sell-adx-value': 78, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.3077646493708299, 444: 0.16227697603830155, 1045: 0.07280999507931168, 2314: 0}, 'stoploss': {'stoploss': -0.18181041180901014}}, # noqa: E501 - 'results_metrics': {'total_trades': 14, 'wins': 6, 'draws': 0, 'losses': 8, 'profit_mean': -0.003539515, 'profit_median': -0.012222, 'profit_total': -0.002480140000000001, 'profit_total_abs': -4.955321, 'holding_avg': timedelta(minutes=3402.8571428571427)}, # noqa: E501 + 'results_metrics': {'total_trades': 14, 'wins': 6, 'draws': 0, 'losses': 8, 'profit_mean': -0.003539515, 'profit_median': -0.012222, 'profit_total': -0.002480140000000001, 'profit_total_abs': -4.955321, 'max_drawdown': 0.34, 'max_drawdown_abs': -4.955321, 'holding_avg': timedelta(minutes=3402.8571428571427)}, # noqa: E501 'results_explanation': ' 14 trades. Avg profit -0.35%. Total profit -0.00248014 BTC ( -4.96Σ%). Avg duration 3402.9 min.', # noqa: E501 'total_profit': -0.002480140000000001, 'current_epoch': 5, @@ -2073,7 +2073,7 @@ def saved_hyperopt_results(): 'loss': 0.545315889154162, 'params_dict': {'mfi-value': 22, 'fastd-value': 43, 'adx-value': 46, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'bb_lower', 'sell-mfi-value': 87, 'sell-fastd-value': 65, 'sell-adx-value': 94, 'sell-rsi-value': 63, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 319, 'roi_t2': 556, 'roi_t3': 216, 'roi_p1': 0.06251955472249589, 'roi_p2': 0.11659519602202795, 'roi_p3': 0.0953744132197762, 'stoploss': -0.024551752215582423}, # noqa: E501 'params_details': {'buy': {'mfi-value': 22, 'fastd-value': 43, 'adx-value': 46, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'bb_lower'}, 'sell': {'sell-mfi-value': 87, 'sell-fastd-value': 65, 'sell-adx-value': 94, 'sell-rsi-value': 63, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.2744891639643, 216: 0.17911475074452382, 772: 0.06251955472249589, 1091: 0}, 'stoploss': {'stoploss': -0.024551752215582423}}, # noqa: E501 - 'results_metrics': {'total_trades': 39, 'wins': 20, 'draws': 0, 'losses': 19, 'profit_mean': -0.0021400679487179478, 'profit_median': -0.012222, 'profit_total': -0.0041773, 'profit_total_abs': -8.346264999999997, 'holding_avg': timedelta(minutes=636.9230769230769)}, # noqa: E501 + 'results_metrics': {'total_trades': 39, 'wins': 20, 'draws': 0, 'losses': 19, 'profit_mean': -0.0021400679487179478, 'profit_median': -0.012222, 'profit_total': -0.0041773, 'profit_total_abs': -8.346264999999997, 'max_drawdown': 0.45, 'max_drawdown_abs': -4.955321, 'holding_avg': timedelta(minutes=636.9230769230769)}, # noqa: E501 'results_explanation': ' 39 trades. Avg profit -0.21%. Total profit -0.00417730 BTC ( -8.35Σ%). Avg duration 636.9 min.', # noqa: E501 'total_profit': -0.0041773, 'current_epoch': 6, @@ -2085,7 +2085,7 @@ def saved_hyperopt_results(): 'params_details': { 'buy': {'mfi-value': 13, 'fastd-value': 41, 'adx-value': 21, 'rsi-value': 29, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower'}, 'sell': {'sell-mfi-value': 99, 'sell-fastd-value': 60, 'sell-adx-value': 81, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.4837436938134452, 145: 0.10853310701097472, 765: 0.0586919200378493, 1536: 0}, # noqa: E501 'stoploss': {'stoploss': -0.14613268022709905}}, # noqa: E501 - 'results_metrics': {'total_trades': 318, 'wins': 100, 'draws': 0, 'losses': 218, 'profit_mean': -0.0039833954716981146, 'profit_median': -0.012222, 'profit_total': -0.06339929, 'profit_total_abs': -126.67197600000004, 'holding_avg': timedelta(minutes=3140.377358490566)}, # noqa: E501 + 'results_metrics': {'total_trades': 318, 'wins': 100, 'draws': 0, 'losses': 218, 'profit_mean': -0.0039833954716981146, 'profit_median': -0.012222, 'profit_total': -0.06339929, 'profit_total_abs': -126.67197600000004, 'max_drawdown': 0.50, 'max_drawdown_abs': -200.955321, 'holding_avg': timedelta(minutes=3140.377358490566)}, # noqa: E501 'results_explanation': ' 318 trades. Avg profit -0.40%. Total profit -0.06339929 BTC (-126.67Σ%). Avg duration 3140.4 min.', # noqa: E501 'total_profit': -0.06339929, 'current_epoch': 7, @@ -2095,7 +2095,7 @@ def saved_hyperopt_results(): 'loss': 20.0, # noqa: E501 'params_dict': {'mfi-value': 24, 'fastd-value': 43, 'adx-value': 33, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'sar_reversal', 'sell-mfi-value': 89, 'sell-fastd-value': 74, 'sell-adx-value': 70, 'sell-rsi-value': 70, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': False, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal', 'roi_t1': 1149, 'roi_t2': 375, 'roi_t3': 289, 'roi_p1': 0.05571820757172588, 'roi_p2': 0.0606240398618907, 'roi_p3': 0.1729012220156157, 'stoploss': -0.1588514289110401}, # noqa: E501 'params_details': {'buy': {'mfi-value': 24, 'fastd-value': 43, 'adx-value': 33, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'sar_reversal'}, 'sell': {'sell-mfi-value': 89, 'sell-fastd-value': 74, 'sell-adx-value': 70, 'sell-rsi-value': 70, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': False, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal'}, 'roi': {0: 0.2892434694492323, 289: 0.11634224743361658, 664: 0.05571820757172588, 1813: 0}, 'stoploss': {'stoploss': -0.1588514289110401}}, # noqa: E501 - 'results_metrics': {'total_trades': 1, 'wins': 0, 'draws': 1, 'losses': 0, 'profit_mean': 0.0, 'profit_median': 0.0, 'profit_total': 0.0, 'profit_total_abs': 0.0, 'holding_avg': timedelta(minutes=5340.0)}, # noqa: E501 + 'results_metrics': {'total_trades': 1, 'wins': 0, 'draws': 1, 'losses': 0, 'profit_mean': 0.0, 'profit_median': 0.0, 'profit_total': 0.0, 'profit_total_abs': 0.0, 'max_drawdown': 0.0, 'max_drawdown_abs': 0.52, 'holding_avg': timedelta(minutes=5340.0)}, # noqa: E501 'results_explanation': ' 1 trades. Avg profit 0.00%. Total profit 0.00000000 BTC ( 0.00Σ%). Avg duration 5340.0 min.', # noqa: E501 'total_profit': 0.0, 'current_epoch': 8, @@ -2105,7 +2105,7 @@ def saved_hyperopt_results(): 'loss': 2.4731817780991223, 'params_dict': {'mfi-value': 22, 'fastd-value': 20, 'adx-value': 29, 'rsi-value': 40, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'sar_reversal', 'sell-mfi-value': 97, 'sell-fastd-value': 65, 'sell-adx-value': 81, 'sell-rsi-value': 64, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1012, 'roi_t2': 584, 'roi_t3': 422, 'roi_p1': 0.036764323603472565, 'roi_p2': 0.10335480573205287, 'roi_p3': 0.10322347377503042, 'stoploss': -0.2780610808108503}, # noqa: E501 'params_details': {'buy': {'mfi-value': 22, 'fastd-value': 20, 'adx-value': 29, 'rsi-value': 40, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'sar_reversal'}, 'sell': {'sell-mfi-value': 97, 'sell-fastd-value': 65, 'sell-adx-value': 81, 'sell-rsi-value': 64, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.2433426031105559, 422: 0.14011912933552545, 1006: 0.036764323603472565, 2018: 0}, 'stoploss': {'stoploss': -0.2780610808108503}}, # noqa: E501 - 'results_metrics': {'total_trades': 229, 'wins': 150, 'draws': 0, 'losses': 79, 'profit_mean': -0.0038433433624454144, 'profit_median': -0.012222, 'profit_total': -0.044050070000000004, 'profit_total_abs': -88.01256299999999, 'holding_avg': timedelta(minutes=6505.676855895196)}, # noqa: E501 + 'results_metrics': {'total_trades': 229, 'wins': 150, 'draws': 0, 'losses': 79, 'profit_mean': -0.0038433433624454144, 'profit_median': -0.012222, 'profit_total': -0.044050070000000004, 'profit_total_abs': -88.01256299999999, 'max_drawdown': 0.41, 'max_drawdown_abs': -150.955321, 'holding_avg': timedelta(minutes=6505.676855895196)}, # noqa: E501 'results_explanation': ' 229 trades. Avg profit -0.38%. Total profit -0.04405007 BTC ( -88.01Σ%). Avg duration 6505.7 min.', # noqa: E501 'total_profit': -0.044050070000000004, # noqa: E501 'current_epoch': 9, @@ -2115,7 +2115,7 @@ def saved_hyperopt_results(): 'loss': -0.2604606005845212, # noqa: E501 'params_dict': {'mfi-value': 23, 'fastd-value': 24, 'adx-value': 22, 'rsi-value': 24, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 97, 'sell-fastd-value': 70, 'sell-adx-value': 64, 'sell-rsi-value': 80, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal', 'roi_t1': 792, 'roi_t2': 464, 'roi_t3': 215, 'roi_p1': 0.04594053535385903, 'roi_p2': 0.09623192684243963, 'roi_p3': 0.04428219070850663, 'stoploss': -0.16992287161634415}, # noqa: E501 'params_details': {'buy': {'mfi-value': 23, 'fastd-value': 24, 'adx-value': 22, 'rsi-value': 24, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 97, 'sell-fastd-value': 70, 'sell-adx-value': 64, 'sell-rsi-value': 80, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal'}, 'roi': {0: 0.18645465290480528, 215: 0.14217246219629864, 679: 0.04594053535385903, 1471: 0}, 'stoploss': {'stoploss': -0.16992287161634415}}, # noqa: E501 - 'results_metrics': {'total_trades': 4, 'wins': 0, 'draws': 0, 'losses': 4, 'profit_mean': 0.001080385, 'profit_median': -0.012222, 'profit_total': 0.00021629, 'profit_total_abs': 0.432154, 'holding_avg': timedelta(minutes=2850.0)}, # noqa: E501 + 'results_metrics': {'total_trades': 4, 'wins': 0, 'draws': 0, 'losses': 4, 'profit_mean': 0.001080385, 'profit_median': -0.012222, 'profit_total': 0.00021629, 'profit_total_abs': 0.432154, 'max_drawdown': 0.13, 'max_drawdown_abs': -4.955321, 'holding_avg': timedelta(minutes=2850.0)}, # noqa: E501 'results_explanation': ' 4 trades. Avg profit 0.11%. Total profit 0.00021629 BTC ( 0.43Σ%). Avg duration 2850.0 min.', # noqa: E501 'total_profit': 0.00021629, 'current_epoch': 10, @@ -2126,7 +2126,7 @@ def saved_hyperopt_results(): 'params_dict': {'mfi-value': 20, 'fastd-value': 32, 'adx-value': 49, 'rsi-value': 23, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower', 'sell-mfi-value': 75, 'sell-fastd-value': 56, 'sell-adx-value': 61, 'sell-rsi-value': 62, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 579, 'roi_t2': 614, 'roi_t3': 273, 'roi_p1': 0.05307643172744114, 'roi_p2': 0.1352282078262871, 'roi_p3': 0.1913307406325751, 'stoploss': -0.25728526022513887}, # noqa: E501 'params_details': {'buy': {'mfi-value': 20, 'fastd-value': 32, 'adx-value': 49, 'rsi-value': 23, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower'}, 'sell': {'sell-mfi-value': 75, 'sell-fastd-value': 56, 'sell-adx-value': 61, 'sell-rsi-value': 62, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.3796353801863034, 273: 0.18830463955372825, 887: 0.05307643172744114, 1466: 0}, 'stoploss': {'stoploss': -0.25728526022513887}}, # noqa: E501 # New Hyperopt mode! - 'results_metrics': {'total_trades': 117, 'wins': 67, 'draws': 0, 'losses': 50, 'profit_mean': -0.012698609145299145, 'profit_median': -0.012222, 'profit_total': -0.07436117, 'profit_total_abs': -148.573727, 'holding_avg': timedelta(minutes=4282.5641025641025)}, # noqa: E501 + 'results_metrics': {'total_trades': 117, 'wins': 67, 'draws': 0, 'losses': 50, 'profit_mean': -0.012698609145299145, 'profit_median': -0.012222, 'profit_total': -0.07436117, 'profit_total_abs': -148.573727, 'max_drawdown': 0.52, 'max_drawdown_abs': -224.955321, 'holding_avg': timedelta(minutes=4282.5641025641025)}, # noqa: E501 'results_explanation': ' 117 trades. Avg profit -1.27%. Total profit -0.07436117 BTC (-148.57Σ%). Avg duration 4282.6 min.', # noqa: E501 'total_profit': -0.07436117, 'current_epoch': 11, @@ -2136,7 +2136,7 @@ def saved_hyperopt_results(): 'loss': 100000, 'params_dict': {'mfi-value': 10, 'fastd-value': 36, 'adx-value': 31, 'rsi-value': 22, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'sar_reversal', 'sell-mfi-value': 80, 'sell-fastd-value': 71, 'sell-adx-value': 60, 'sell-rsi-value': 85, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1156, 'roi_t2': 581, 'roi_t3': 408, 'roi_p1': 0.06860454019988212, 'roi_p2': 0.12473718444931989, 'roi_p3': 0.2896360635226823, 'stoploss': -0.30889015124682806}, # noqa: E501 'params_details': {'buy': {'mfi-value': 10, 'fastd-value': 36, 'adx-value': 31, 'rsi-value': 22, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'sar_reversal'}, 'sell': {'sell-mfi-value': 80, 'sell-fastd-value': 71, 'sell-adx-value': 60, 'sell-rsi-value': 85, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.4829777881718843, 408: 0.19334172464920202, 989: 0.06860454019988212, 2145: 0}, 'stoploss': {'stoploss': -0.30889015124682806}}, # noqa: E501 - 'results_metrics': {'total_trades': 0, 'wins': 0, 'draws': 0, 'losses': 0, 'profit_mean': None, 'profit_median': None, 'profit_total': 0, 'profit_total_abs': 0.0, 'holding_avg': timedelta()}, # noqa: E501 + 'results_metrics': {'total_trades': 0, 'wins': 0, 'draws': 0, 'losses': 0, 'profit_mean': None, 'profit_median': None, 'profit_total': 0, 'profit_total_abs': 0.0, 'max_drawdown': 0.0, 'max_drawdown_abs': 0.0, 'holding_avg': timedelta()}, # noqa: E501 'results_explanation': ' 0 trades. Avg profit nan%. Total profit 0.00000000 BTC ( 0.00Σ%). Avg duration nan min.', # noqa: E501 'total_profit': 0, 'current_epoch': 12, diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index 8df0daa15..a571338c3 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -282,7 +282,8 @@ def test_create_cum_profit1(testdatadir): def test_calculate_max_drawdown(testdatadir): filename = testdatadir / "backtest-result_new.json" bt_data = load_backtest_data(filename) - drawdown_abs, hdate, lowdate, hval, lval, drawdown = calculate_max_drawdown(bt_data, value_col="profit_abs") + drawdown_abs, hdate, lowdate, hval, lval, drawdown = calculate_max_drawdown( + bt_data, value_col="profit_abs") assert isinstance(drawdown, float) assert pytest.approx(drawdown) == 0.59495234 assert isinstance(hdate, Timestamp) @@ -290,7 +291,7 @@ def test_calculate_max_drawdown(testdatadir): assert isinstance(hval, float) assert isinstance(lval, float) assert hdate == Timestamp('2018-01-25 01:30:00', tz='UTC') - assert lowdate == Timestamp('2018-01-30 094:45:00', tz='UTC') + assert lowdate == Timestamp('2018-01-30 04:45:00', tz='UTC') underwater = calculate_underwater(bt_data) assert isinstance(underwater, DataFrame) From 8373a4e713c73360c2b71c4f125a5359d480c75a Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 4 Jan 2022 17:56:41 +0100 Subject: [PATCH 04/25] Small Adjustments to improve compatibility --- docs/backtesting.md | 2 +- freqtrade/optimize/optimize_reports.py | 13 ++++++++----- tests/data/test_btanalysis.py | 2 +- 3 files changed, 10 insertions(+), 7 deletions(-) diff --git a/docs/backtesting.md b/docs/backtesting.md index 64480acd9..001941993 100644 --- a/docs/backtesting.md +++ b/docs/backtesting.md @@ -427,7 +427,7 @@ It contains some useful key metrics about performance of your strategy on backte - `Rejected Buy signals`: Buy signals that could not be acted upon due to max_open_trades being reached. - `Min balance` / `Max balance`: Lowest and Highest Wallet balance during the backtest period. - `Drawdown (Account)`: Maximum Account Drawdown experienced. Calculated as $(Absolute Drawdown) / (DrawdownHigh + startingBalance)$. -- `Drawdown`: Maximum, absolute drawdown experienced. Difference between Drawdown High and Low. +- `Drawdown`: Maximum, absolute drawdown experienced. Difference between Drawdown High and Subsequent Low point. - `Drawdown high` / `Drawdown low`: Profit at the beginning and end of the largest drawdown period. A negative low value means initial capital lost. - `Drawdown Start` / `Drawdown End`: Start and end datetime for this largest drawdown (can also be visualized via the `plot-dataframe` sub-command). - `Market change`: Change of the market during the backtest period. Calculated as average of all pairs changes from the first to the last candle using the "close" column. diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 239b05a83..56ec51a56 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -207,10 +207,10 @@ def generate_strategy_comparison(all_results: Dict) -> List[Dict]: results['results'], results['config']['dry_run_wallet'], strategy) ) try: - max_drawdown_per, _, _, _, _ = calculate_max_drawdown(results['results'], - value_col='profit_ratio') - max_drawdown_abs, _, _, _, _ = calculate_max_drawdown(results['results'], - value_col='profit_abs') + max_drawdown_per, _, _, _, _, _ = calculate_max_drawdown(results['results'], + value_col='profit_ratio') + max_drawdown_abs, _, _, _, _, _ = calculate_max_drawdown(results['results'], + value_col='profit_abs') except ValueError: max_drawdown_per = 0 max_drawdown_abs = 0 @@ -719,7 +719,10 @@ def text_table_add_metrics(strat_results: Dict) -> str: ('Max balance', round_coin_value(strat_results['csum_max'], strat_results['stake_currency'])), - ('Drawdown (Account)', f"{strat_results['max_drawdown_account']:.2%}"), + # Compatibility to show old hyperopt results + ('Drawdown (Account)', f"{strat_results['max_drawdown_account']:.2%}") + if 'max_drawdown_account' in strat_results else ( + 'Drawdown', f"{strat_results['max_drawdown']:.2%}"), ('Drawdown', round_coin_value(strat_results['max_drawdown_abs'], strat_results['stake_currency'])), ('Drawdown high', round_coin_value(strat_results['max_drawdown_high'], diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index a571338c3..ca6912e2e 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -282,7 +282,7 @@ def test_create_cum_profit1(testdatadir): def test_calculate_max_drawdown(testdatadir): filename = testdatadir / "backtest-result_new.json" bt_data = load_backtest_data(filename) - drawdown_abs, hdate, lowdate, hval, lval, drawdown = calculate_max_drawdown( + _, hdate, lowdate, hval, lval, drawdown = calculate_max_drawdown( bt_data, value_col="profit_abs") assert isinstance(drawdown, float) assert pytest.approx(drawdown) == 0.59495234 From 6abd6bceb9337f942a396d6c70d5d62296ffe56f Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 5 Jan 2022 19:21:24 +0100 Subject: [PATCH 05/25] Avoid recalculating statistics for comparison line --- freqtrade/optimize/optimize_reports.py | 31 ++++++++++---------------- 1 file changed, 12 insertions(+), 19 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 56ec51a56..168c306e2 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -1,4 +1,5 @@ import logging +from copy import deepcopy from datetime import datetime, timedelta, timezone from pathlib import Path from typing import Any, Dict, List, Union @@ -194,29 +195,21 @@ def generate_sell_reason_stats(max_open_trades: int, results: DataFrame) -> List return tabular_data -def generate_strategy_comparison(all_results: Dict) -> List[Dict]: +def generate_strategy_comparison(bt_stats: Dict) -> List[Dict]: """ Generate summary per strategy - :param all_results: Dict of containing results for all strategies + :param result: Dict of containing results for all strategies :return: List of Dicts containing the metrics per Strategy """ tabular_data = [] - for strategy, results in all_results.items(): - tabular_data.append(_generate_result_line( - results['results'], results['config']['dry_run_wallet'], strategy) - ) - try: - max_drawdown_per, _, _, _, _, _ = calculate_max_drawdown(results['results'], - value_col='profit_ratio') - max_drawdown_abs, _, _, _, _, _ = calculate_max_drawdown(results['results'], - value_col='profit_abs') - except ValueError: - max_drawdown_per = 0 - max_drawdown_abs = 0 - tabular_data[-1]['max_drawdown_per'] = round(max_drawdown_per * 100, 2) - tabular_data[-1]['max_drawdown_abs'] = \ - round_coin_value(max_drawdown_abs, results['config']['stake_currency'], False) + for strategy, result in bt_stats.items(): + tabular_data.append(deepcopy(result['results_per_pair'][-1])) + # Update "key" to strategy (results_per_pair has it as "Total"). + tabular_data[-1]['key'] = strategy + tabular_data[-1]['max_drawdown_account'] = result['max_drawdown_account'] + tabular_data[-1]['max_drawdown_abs'] = round_coin_value( + result['max_drawdown_abs'], result['stake_currency'], False) return tabular_data @@ -524,7 +517,7 @@ def generate_backtest_stats(btdata: Dict[str, DataFrame], min_date, max_date, market_change=market_change) result['strategy'][strategy] = strat_stats - strategy_results = generate_strategy_comparison(all_results=all_results) + strategy_results = generate_strategy_comparison(bt_stats=result['strategy']) result['strategy_comparison'] = strategy_results @@ -649,7 +642,7 @@ def text_table_strategy(strategy_results, stake_currency: str) -> str: headers.append('Drawdown') # Align drawdown string on the center two space separator. - drawdown = [f'{t["max_drawdown_per"]:.2f}' for t in strategy_results] + drawdown = [f'{t["max_drawdown_account"] * 100:.2f}' for t in strategy_results] dd_pad_abs = max([len(t['max_drawdown_abs']) for t in strategy_results]) dd_pad_per = max([len(dd) for dd in drawdown]) drawdown = [f'{t["max_drawdown_abs"]:>{dd_pad_abs}} {stake_currency} {dd:>{dd_pad_per}}%' From 2ecaf9f8b4f0fb8700d3c3b53f44250a01a9d02d Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 5 Jan 2022 20:17:04 +0100 Subject: [PATCH 06/25] Update backtest-result test-files to latest format --- tests/data/test_btanalysis.py | 8 ++++---- tests/optimize/test_optimize_reports.py | 6 +++--- tests/testdata/backtest-result_multistrat.json | 2 +- tests/testdata/backtest-result_new.json | 2 +- 4 files changed, 9 insertions(+), 9 deletions(-) diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index ca6912e2e..747a9d24e 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -72,7 +72,7 @@ def test_load_backtest_data_new_format(testdatadir): filename = testdatadir / "backtest-result_new.json" bt_data = load_backtest_data(filename) assert isinstance(bt_data, DataFrame) - assert set(bt_data.columns) == set(BT_DATA_COLUMNS_MID) + assert set(bt_data.columns) == set(BT_DATA_COLUMNS + ['close_timestamp', 'open_timestamp']) assert len(bt_data) == 179 # Test loading from string (must yield same result) @@ -96,7 +96,7 @@ def test_load_backtest_data_multi(testdatadir): for strategy in ('StrategyTestV2', 'TestStrategy'): bt_data = load_backtest_data(filename, strategy=strategy) assert isinstance(bt_data, DataFrame) - assert set(bt_data.columns) == set(BT_DATA_COLUMNS_MID) + assert set(bt_data.columns) == set(BT_DATA_COLUMNS + ['close_timestamp', 'open_timestamp']) assert len(bt_data) == 179 # Test loading from string (must yield same result) @@ -285,13 +285,13 @@ def test_calculate_max_drawdown(testdatadir): _, hdate, lowdate, hval, lval, drawdown = calculate_max_drawdown( bt_data, value_col="profit_abs") assert isinstance(drawdown, float) - assert pytest.approx(drawdown) == 0.59495234 + assert pytest.approx(drawdown) == 0.12071099 assert isinstance(hdate, Timestamp) assert isinstance(lowdate, Timestamp) assert isinstance(hval, float) assert isinstance(lval, float) assert hdate == Timestamp('2018-01-25 01:30:00', tz='UTC') - assert lowdate == Timestamp('2018-01-30 04:45:00', tz='UTC') + assert lowdate == Timestamp('2018-01-25 03:50:00', tz='UTC') underwater = calculate_underwater(bt_data) assert isinstance(underwater, DataFrame) diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index f9ab50877..66d86134c 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -227,9 +227,9 @@ def test_generate_daily_stats(testdatadir): assert isinstance(res, dict) assert round(res['backtest_best_day'], 4) == 0.1796 assert round(res['backtest_worst_day'], 4) == -0.1468 - assert res['winning_days'] == 14 - assert res['draw_days'] == 4 - assert res['losing_days'] == 3 + assert res['winning_days'] == 19 + assert res['draw_days'] == 0 + assert res['losing_days'] == 2 # Select empty dataframe! res = generate_daily_stats(bt_data.loc[bt_data['open_date'] == '2000-01-01', :]) diff --git a/tests/testdata/backtest-result_multistrat.json b/tests/testdata/backtest-result_multistrat.json index 553783dfa..80827fa79 100644 --- a/tests/testdata/backtest-result_multistrat.json +++ b/tests/testdata/backtest-result_multistrat.json @@ -1 +1 @@ -{"strategy": {"StrategyTestV2": {"trades": [{"pair": "TRX/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:15:00+00:00", "close_date": "2018-01-10 07:20:00+00:00", "trade_duration": 5, "open_rate": 9.64e-05, "close_rate": 0.00010074887218045112, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 1037.344398340249, "profit_abs": 0.00399999999999999}, {"pair": "ADA/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:15:00+00:00", "close_date": "2018-01-10 07:30:00+00:00", "trade_duration": 15, "open_rate": 4.756e-05, "close_rate": 4.9705563909774425e-05, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 2102.6072329688814, "profit_abs": 0.00399999999999999}, {"pair": "XLM/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:25:00+00:00", "close_date": "2018-01-10 07:35:00+00:00", "trade_duration": 10, "open_rate": 3.339e-05, "close_rate": 3.489631578947368e-05, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 2994.908655286014, "profit_abs": 0.0040000000000000036}, {"pair": "TRX/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:25:00+00:00", "close_date": "2018-01-10 07:40:00+00:00", "trade_duration": 15, "open_rate": 9.696e-05, "close_rate": 0.00010133413533834584, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 1031.3531353135315, "profit_abs": 0.00399999999999999}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 07:35:00+00:00", "close_date": "2018-01-10 08:35:00+00:00", "trade_duration": 60, "open_rate": 0.0943, "close_rate": 0.09477268170426063, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 1.0604453870625663, "profit_abs": 0.0}, {"pair": "XMR/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-10 07:40:00+00:00", "close_date": "2018-01-10 08:10:00+00:00", "trade_duration": 30, "open_rate": 0.02719607, "close_rate": 0.02760503345864661, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 3.677001860930642, "profit_abs": 0.0010000000000000009}, {"pair": "ZEC/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 08:15:00+00:00", "close_date": "2018-01-10 09:55:00+00:00", "trade_duration": 100, "open_rate": 0.04634952, "close_rate": 0.046581848421052625, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 2.1575196463739, "profit_abs": 0.0}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 14:45:00+00:00", "close_date": "2018-01-10 15:50:00+00:00", "trade_duration": 65, "open_rate": 3.066e-05, "close_rate": 3.081368421052631e-05, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 3261.5786040443577, "profit_abs": -1.3877787807814457e-17}, {"pair": "LTC/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 16:35:00+00:00", "close_date": "2018-01-10 17:15:00+00:00", "trade_duration": 40, "open_rate": 0.0168999, "close_rate": 0.016984611278195488, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 5.917194776300452, "profit_abs": 1.3877787807814457e-17}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 16:40:00+00:00", "close_date": "2018-01-10 17:20:00+00:00", "trade_duration": 40, "open_rate": 0.09132568, "close_rate": 0.0917834528320802, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 1.0949822656672252, "profit_abs": 0.0}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 18:50:00+00:00", "close_date": "2018-01-10 19:45:00+00:00", "trade_duration": 55, "open_rate": 0.08898003, "close_rate": 0.08942604518796991, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 1.1238476768326557, "profit_abs": -1.3877787807814457e-17}, {"pair": "ETH/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 22:15:00+00:00", "close_date": "2018-01-10 23:00:00+00:00", "trade_duration": 45, "open_rate": 0.08560008, "close_rate": 0.08602915308270676, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 1.1682232072680307, "profit_abs": 0.0}, {"pair": "ETC/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-10 22:50:00+00:00", "close_date": "2018-01-10 23:20:00+00:00", "trade_duration": 30, "open_rate": 0.00249083, "close_rate": 0.0025282860902255634, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 40.147260150231055, "profit_abs": 0.000999999999999987}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 23:15:00+00:00", "close_date": "2018-01-11 00:15:00+00:00", "trade_duration": 60, "open_rate": 3.022e-05, "close_rate": 3.037147869674185e-05, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 3309.0668431502318, "profit_abs": -1.3877787807814457e-17}, {"pair": "ETC/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-10 23:40:00+00:00", "close_date": "2018-01-11 00:05:00+00:00", "trade_duration": 25, "open_rate": 0.002437, "close_rate": 0.0024980776942355883, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 41.03405826836274, "profit_abs": 0.001999999999999974}, {"pair": "ZEC/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 00:00:00+00:00", "close_date": "2018-01-11 00:35:00+00:00", "trade_duration": 35, "open_rate": 0.04771803, "close_rate": 0.04843559436090225, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 2.0956439316543456, "profit_abs": 0.0010000000000000009}, {"pair": "XLM/BTC", "profit_percent": -0.10448878, "open_date": "2018-01-11 03:40:00+00:00", "close_date": "2018-01-11 04:25:00+00:00", "trade_duration": 45, "open_rate": 3.651e-05, "close_rate": 3.2859000000000005e-05, "open_at_end": false, "sell_reason": "stop_loss", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 2738.9756231169545, "profit_abs": -0.01047499999999997}, {"pair": "ETH/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 03:55:00+00:00", "close_date": "2018-01-11 04:25:00+00:00", "trade_duration": 30, "open_rate": 0.08824105, "close_rate": 0.08956798308270676, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 1.1332594070446804, "profit_abs": 0.0010000000000000009}, {"pair": "ETC/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 04:00:00+00:00", "close_date": "2018-01-11 04:50:00+00:00", "trade_duration": 50, "open_rate": 0.00243, "close_rate": 0.002442180451127819, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 41.1522633744856, "profit_abs": -1.3877787807814457e-17}, {"pair": "ZEC/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 04:30:00+00:00", "close_date": "2018-01-11 04:55:00+00:00", "trade_duration": 25, "open_rate": 0.04545064, "close_rate": 0.046589753784461146, "open_at_end": false, "sell_reason": "roi", "fee_open": 0.0025, "fee_close": 0.0025, "amount": 2.200189040242338, 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day, 5:57:00","loser_holding_avg_s":107820.0,"max_drawdown":0.21142322000000008,"max_drawdown_account":0.08674033488183289,"max_drawdown_abs":0.0030822220000000025,"drawdown_start":"2018-01-25 01:30:00","drawdown_start_ts":1516843800000.0,"drawdown_end":"2018-01-25 03:50:00","drawdown_end_ts":1516852200000.0,"max_drawdown_low":0.02245167355388436,"max_drawdown_high":0.025533895553884363,"csum_min":0.01000434887218045,"csum_max":0.03608683949373386}},"strategy_comparison":[{"key":"StrategyTestV2","trades":179,"profit_mean":0.0008041243575418989,"profit_mean_pct":0.0804124357541899,"profit_sum":0.1439382599999999,"profit_sum_pct":14.39,"profit_total_abs":0.026085499493733857,"profit_total":2.6085499493733857,"profit_total_pct":260.85,"duration_avg":"3:40:00","wins":170,"draws":0,"losses":9,"max_drawdown_account":0.08674033488183289,"max_drawdown_abs":"0.00308222"}]} \ No newline at end of file From 2ca90577a6cf88a89eaf549048e990fc99a628ba Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 5 Jan 2022 20:29:40 +0100 Subject: [PATCH 07/25] Update strategy-comparison test --- tests/optimize/test_optimize_reports.py | 52 +++++++------------------ 1 file changed, 13 insertions(+), 39 deletions(-) diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index 66d86134c..ac7467dfd 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -324,51 +324,25 @@ def test_generate_sell_reason_stats(): assert stop_result['profit_mean_pct'] == round(stop_result['profit_mean'] * 100, 2) -def test_text_table_strategy(default_conf): - default_conf['max_open_trades'] = 2 - default_conf['dry_run_wallet'] = 3 - results = {} - date = datetime.datetime(year=2020, month=1, day=1, hour=12, minute=30) - delta = datetime.timedelta(days=1) - results['TestStrategy1'] = {'results': pd.DataFrame( - { - 'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC'], - 'close_date': [date, date + delta, date + delta * 2], - 'profit_ratio': [0.1, 0.2, 0.3], - 'profit_abs': [0.2, 0.4, 0.5], - 'trade_duration': [10, 30, 10], - 'wins': [2, 0, 0], - 'draws': [0, 0, 0], - 'losses': [0, 0, 1], - 'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS] - } - ), 'config': default_conf} - results['TestStrategy2'] = {'results': pd.DataFrame( - { - 'pair': ['LTC/BTC', 'LTC/BTC', 'LTC/BTC'], - 'close_date': [date, date + delta, date + delta * 2], - 'profit_ratio': [0.4, 0.2, 0.3], - 'profit_abs': [0.4, 0.4, 0.5], - 'trade_duration': [15, 30, 15], - 'wins': [4, 1, 0], - 'draws': [0, 0, 0], - 'losses': [0, 0, 1], - 'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS] - } - ), 'config': default_conf} +def test_text_table_strategy(testdatadir): + filename = testdatadir / "backtest-result_multistrat.json" + bt_res_data = load_backtest_stats(filename) + + bt_res_data_comparison = bt_res_data.pop('strategy_comparison') result_str = ( - '| Strategy | Buys | Avg Profit % | Cum Profit % | Tot Profit BTC |' + '| Strategy | Buys | Avg Profit % | Cum Profit % | Tot Profit BTC |' ' Tot Profit % | Avg Duration | Win Draw Loss Win% | Drawdown |\n' - '|---------------+--------+----------------+----------------+------------------+' + '|----------------+--------+----------------+----------------+------------------+' '----------------+----------------+-------------------------+-----------------------|\n' - '| TestStrategy1 | 3 | 20.00 | 60.00 | 1.10000000 |' - ' 36.67 | 0:17:00 | 3 0 0 100 | 0.00000000 BTC 0.00% |\n' - '| TestStrategy2 | 3 | 30.00 | 90.00 | 1.30000000 |' - ' 43.33 | 0:20:00 | 3 0 0 100 | 0.00000000 BTC 0.00% |' + '| StrategyTestV2 | 179 | 0.08 | 14.39 | 0.02608550 |' + ' 260.85 | 3:40:00 | 170 0 9 95.0 | 0.00308222 BTC 8.67% |\n' + '| TestStrategy | 179 | 0.08 | 14.39 | 0.02608550 |' + ' 260.85 | 3:40:00 | 170 0 9 95.0 | 0.00308222 BTC 8.67% |' ) - strategy_results = generate_strategy_comparison(all_results=results) + strategy_results = generate_strategy_comparison(bt_stats=bt_res_data['strategy']) + assert strategy_results == bt_res_data_comparison assert text_table_strategy(strategy_results, 'BTC') == result_str From 4e2b9203d7167c4eee46f5c863e3e11a3c24ca5d Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 5 Jan 2022 20:40:59 +0100 Subject: [PATCH 08/25] Remove no longer used BT_DATA_COLUMNS_MID --- freqtrade/data/btanalysis.py | 5 ----- tests/data/test_btanalysis.py | 2 +- tests/optimize/test_optimize_reports.py | 1 - 3 files changed, 1 insertion(+), 7 deletions(-) diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index 2f991d247..4a9f69167 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -19,11 +19,6 @@ logger = logging.getLogger(__name__) BT_DATA_COLUMNS_OLD = ["pair", "profit_percent", "open_date", "close_date", "index", "trade_duration", "open_rate", "close_rate", "open_at_end", "sell_reason"] -# Mid-term format, created by BacktestResult Named Tuple -BT_DATA_COLUMNS_MID = ['pair', 'profit_percent', 'open_date', 'close_date', 'trade_duration', - 'open_rate', 'close_rate', 'open_at_end', 'sell_reason', 'fee_open', - 'fee_close', 'amount', 'profit_abs', 'profit_ratio'] - # Newest format BT_DATA_COLUMNS = ['pair', 'stake_amount', 'amount', 'open_date', 'close_date', 'open_rate', 'close_rate', diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index 747a9d24e..f58f8da66 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -8,7 +8,7 @@ from pandas import DataFrame, DateOffset, Timestamp, to_datetime from freqtrade.configuration import TimeRange from freqtrade.constants import LAST_BT_RESULT_FN -from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, BT_DATA_COLUMNS_MID, BT_DATA_COLUMNS_OLD, +from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, BT_DATA_COLUMNS_OLD, analyze_trade_parallelism, calculate_csum, calculate_market_change, calculate_max_drawdown, calculate_underwater, combine_dataframes_with_mean, diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index ac7467dfd..925dc3caa 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -1,4 +1,3 @@ -import datetime import re from datetime import timedelta from pathlib import Path From a9a6cf13f87bb550ec07889a1b3db942f9aca2ba Mon Sep 17 00:00:00 2001 From: Matthias Date: Thu, 6 Jan 2022 08:22:15 +0100 Subject: [PATCH 09/25] Add exit_tag to detail-sells closes #6159 --- freqtrade/optimize/backtesting.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py index 78e6fb002..fed872015 100644 --- a/freqtrade/optimize/backtesting.py +++ b/freqtrade/optimize/backtesting.py @@ -423,7 +423,9 @@ class Backtesting: return self._get_sell_trade_entry_for_candle(trade, sell_row) detail_data.loc[:, 'buy'] = sell_row[BUY_IDX] detail_data.loc[:, 'sell'] = sell_row[SELL_IDX] - headers = ['date', 'buy', 'open', 'close', 'sell', 'low', 'high'] + detail_data.loc[:, 'buy_tag'] = sell_row[BUY_TAG_IDX] + detail_data.loc[:, 'exit_tag'] = sell_row[EXIT_TAG_IDX] + headers = ['date', 'buy', 'open', 'close', 'sell', 'low', 'high', 'buy_tag', 'exit_tag'] for det_row in detail_data[headers].values.tolist(): res = self._get_sell_trade_entry_for_candle(trade, det_row) if res: From 33d95d245e16783372608bf0653f24b37bb83e3a Mon Sep 17 00:00:00 2001 From: Matthias Date: Thu, 6 Jan 2022 08:48:30 +0100 Subject: [PATCH 10/25] Fix unbounderror closes #6169 --- freqtrade/exchange/exchange.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index 8bd9db9f6..c694756f5 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -656,7 +656,8 @@ class Exchange: max_slippage_val = rate * ((1 + slippage) if side == 'buy' else (1 - slippage)) remaining_amount = amount - filled_amount = 0 + filled_amount = 0.0 + book_entry_price = 0.0 for book_entry in ob[ob_type]: book_entry_price = book_entry[0] book_entry_coin_volume = book_entry[1] From 2a2392fd739d60ba7d881e8b86277a0dfbf00f33 Mon Sep 17 00:00:00 2001 From: Matthias Date: Thu, 6 Jan 2022 09:15:30 +0100 Subject: [PATCH 11/25] Update parameter name in docstring --- freqtrade/optimize/optimize_reports.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 168c306e2..162ece08e 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -198,7 +198,7 @@ def generate_sell_reason_stats(max_open_trades: int, results: DataFrame) -> List def generate_strategy_comparison(bt_stats: Dict) -> List[Dict]: """ Generate summary per strategy - :param result: Dict of containing results for all strategies + :param bt_stats: Dict of containing results for all strategies :return: List of Dicts containing the metrics per Strategy """ From 5451972456c7b6a18e0b59878d430204e036ff2b Mon Sep 17 00:00:00 2001 From: Matthias Date: Thu, 6 Jan 2022 09:29:08 +0100 Subject: [PATCH 12/25] Success-messages should use success coloring --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 6b7d7cc29..83a01a60b 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -196,7 +196,7 @@ jobs: uses: rjstone/discord-webhook-notify@v1 if: failure() && ( github.event_name != 'pull_request' || github.event.pull_request.head.repo.fork == false) with: - severity: error + severity: info details: Test Succeeded! webhookUrl: ${{ secrets.DISCORD_WEBHOOK }} From e88a1ab20931148bf4be9f95ed715821d2e96d3c Mon Sep 17 00:00:00 2001 From: Matthias Date: Thu, 6 Jan 2022 13:49:27 +0100 Subject: [PATCH 13/25] Improve VolumePairlist behaviour Filter pairs before downloading ohlcv candles - this will greatly speed up some instances. --- freqtrade/plugins/pairlist/VolumePairList.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/freqtrade/plugins/pairlist/VolumePairList.py b/freqtrade/plugins/pairlist/VolumePairList.py index 83116ebac..204bc7bea 100644 --- a/freqtrade/plugins/pairlist/VolumePairList.py +++ b/freqtrade/plugins/pairlist/VolumePairList.py @@ -4,7 +4,6 @@ Volume PairList provider Provides dynamic pair list based on trade volumes """ import logging -from functools import partial from typing import Any, Dict, List import arrow @@ -120,10 +119,17 @@ class VolumePairList(IPairList): else: # Use fresh pairlist # Check if pair quote currency equals to the stake currency. + _pairlist = [k for k in self._exchange.get_markets( + quote_currencies=[self._stake_currency], + pairs_only=True, active_only=True).keys()] + # No point in testing for blacklisted pairs... + _pairlist = self.verify_blacklist(_pairlist, logger.info) + filtered_tickers = [ v for k, v in tickers.items() if (self._exchange.get_pair_quote_currency(k) == self._stake_currency - and (self._use_range or v[self._sort_key] is not None))] + and (self._use_range or v[self._sort_key] is not None) + and v['symbol'] in _pairlist)] pairlist = [s['symbol'] for s in filtered_tickers] pairlist = self.filter_pairlist(pairlist, tickers) @@ -204,7 +210,7 @@ class VolumePairList(IPairList): # Validate whitelist to only have active market pairs pairs = self._whitelist_for_active_markets([s['symbol'] for s in sorted_tickers]) - pairs = self.verify_blacklist(pairs, partial(self.log_once, logmethod=logger.info)) + pairs = self.verify_blacklist(pairs, logmethod=logger.info) # Limit pairlist to the requested number of pairs pairs = pairs[:self._number_pairs] From a0f9c1bf7b948238e23e2f2083eef1ea1074d181 Mon Sep 17 00:00:00 2001 From: Matthias Date: Thu, 6 Jan 2022 13:51:15 +0100 Subject: [PATCH 14/25] Avoid failure when calculating max-drawdown occurs if if no winning trade is recorded. --- freqtrade/data/btanalysis.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index 4a9f69167..43d0f15f5 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -413,8 +413,9 @@ def calculate_max_drawdown(trades: pd.DataFrame, *, date_col: str = 'close_date' high_val = max_drawdown_df.loc[max_drawdown_df.iloc[:idxmin] ['high_value'].idxmax(), 'cumulative'] low_val = max_drawdown_df.loc[idxmin, 'cumulative'] - - max_drawdown_rel = (high_val - low_val) / (high_val + starting_balance) + max_drawdown_rel = 0.0 + if high_val + starting_balance != 0: + max_drawdown_rel = (high_val - low_val) / (high_val + starting_balance) return ( abs(min(max_drawdown_df['drawdown'])), From 7451b6050164639b9d1db681e24d628b13695456 Mon Sep 17 00:00:00 2001 From: Carlo Revelli Date: Thu, 6 Jan 2022 05:31:23 -0800 Subject: [PATCH 15/25] increase okex candle limit --- freqtrade/exchange/okex.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/exchange/okex.py b/freqtrade/exchange/okex.py index ec31be3a3..e68ee4a48 100644 --- a/freqtrade/exchange/okex.py +++ b/freqtrade/exchange/okex.py @@ -14,5 +14,5 @@ class Okex(Exchange): """ _ft_has: Dict = { - "ohlcv_candle_limit": 100, + "ohlcv_candle_limit": 300, } From 326e3d1f8ef38a1d64d79d207b28e325413f10d4 Mon Sep 17 00:00:00 2001 From: Matthias Date: Thu, 6 Jan 2022 14:12:00 +0100 Subject: [PATCH 16/25] Selectively convert quote to base volume in volumepairlist --- freqtrade/exchange/exchange.py | 2 ++ freqtrade/exchange/ftx.py | 1 + freqtrade/plugins/pairlist/VolumePairList.py | 14 +++++++++----- 3 files changed, 12 insertions(+), 5 deletions(-) diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index c694756f5..36f5ecd39 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -67,6 +67,8 @@ class Exchange: "ohlcv_params": {}, "ohlcv_candle_limit": 500, "ohlcv_partial_candle": True, + # Check https://github.com/ccxt/ccxt/issues/10767 for removal of ohlcv_volume_currency + "ohlcv_volume_currency": "base", # "base" or "quote" "trades_pagination": "time", # Possible are "time" or "id" "trades_pagination_arg": "since", "l2_limit_range": None, diff --git a/freqtrade/exchange/ftx.py b/freqtrade/exchange/ftx.py index 6cd549d60..e9eb2fe19 100644 --- a/freqtrade/exchange/ftx.py +++ b/freqtrade/exchange/ftx.py @@ -19,6 +19,7 @@ class Ftx(Exchange): _ft_has: Dict = { "stoploss_on_exchange": True, "ohlcv_candle_limit": 1500, + "ohlcv_volume_currency": "quote", } def market_is_tradable(self, market: Dict[str, Any]) -> bool: diff --git a/freqtrade/plugins/pairlist/VolumePairList.py b/freqtrade/plugins/pairlist/VolumePairList.py index 204bc7bea..5d78422bb 100644 --- a/freqtrade/plugins/pairlist/VolumePairList.py +++ b/freqtrade/plugins/pairlist/VolumePairList.py @@ -184,12 +184,16 @@ class VolumePairList(IPairList): ] if (p['symbol'], self._lookback_timeframe) in candles else None # in case of candle data calculate typical price and quoteVolume for candle if pair_candles is not None and not pair_candles.empty: - pair_candles['typical_price'] = (pair_candles['high'] + pair_candles['low'] - + pair_candles['close']) / 3 - pair_candles['quoteVolume'] = ( - pair_candles['volume'] * pair_candles['typical_price'] - ) + if self._exchange._ft_has["ohlcv_volume_currency"] == "base": + pair_candles['typical_price'] = (pair_candles['high'] + pair_candles['low'] + + pair_candles['close']) / 3 + pair_candles['quoteVolume'] = ( + pair_candles['volume'] * pair_candles['typical_price'] + ) + else: + # Exchange ohlcv data is in quote volume already. + pair_candles['quoteVolume'] = pair_candles['volume'] # ensure that a rolling sum over the lookback_period is built # if pair_candles contains more candles than lookback_period quoteVolume = (pair_candles['quoteVolume'] From 24ec78b11cfcd1078c3fc594c99e762d9ea21875 Mon Sep 17 00:00:00 2001 From: Matthias Date: Thu, 6 Jan 2022 16:13:10 +0100 Subject: [PATCH 17/25] Quote-volumelist fix for gateio --- freqtrade/exchange/gateio.py | 1 + 1 file changed, 1 insertion(+) diff --git a/freqtrade/exchange/gateio.py b/freqtrade/exchange/gateio.py index 018248a99..7e1f21921 100644 --- a/freqtrade/exchange/gateio.py +++ b/freqtrade/exchange/gateio.py @@ -21,6 +21,7 @@ class Gateio(Exchange): _ft_has: Dict = { "ohlcv_candle_limit": 1000, + "ohlcv_volume_currency": "quote", } _headers = {'X-Gate-Channel-Id': 'freqtrade'} From 72f486289a7f2275416e0f7e3732966613efc76f Mon Sep 17 00:00:00 2001 From: Matthias Date: Thu, 6 Jan 2022 16:25:01 +0100 Subject: [PATCH 18/25] Update Volumepairlist test --- tests/plugins/test_pairlist.py | 28 +++++++++++++++++++--------- 1 file changed, 19 insertions(+), 9 deletions(-) diff --git a/tests/plugins/test_pairlist.py b/tests/plugins/test_pairlist.py index f7ff495ac..76a067cee 100644 --- a/tests/plugins/test_pairlist.py +++ b/tests/plugins/test_pairlist.py @@ -565,36 +565,41 @@ def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, t assert log_has_re(r'^Removed .* from whitelist, because volatility.*$', caplog) -@pytest.mark.parametrize("pairlists,base_currency,volumefilter_result", [ +@pytest.mark.parametrize("pairlists,base_currency,exchange,volumefilter_result", [ # default refresh of 1800 to small for daily candle lookback ([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume", "lookback_days": 1}], - "BTC", "default_refresh_too_short"), # OperationalException expected + "BTC", "binance", "default_refresh_too_short"), # OperationalException expected # ambigous configuration with lookback days and period ([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume", "lookback_days": 1, "lookback_period": 1}], - "BTC", "lookback_days_and_period"), # OperationalException expected + "BTC", "binance", "lookback_days_and_period"), # OperationalException expected # negative lookback period ([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume", "lookback_timeframe": "1d", "lookback_period": -1}], - "BTC", "lookback_period_negative"), # OperationalException expected + "BTC", "binance", "lookback_period_negative"), # OperationalException expected # lookback range exceedes exchange limit ([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume", "lookback_timeframe": "1m", "lookback_period": 2000, "refresh_period": 3600}], - "BTC", 'lookback_exceeds_exchange_request_size'), # OperationalException expected + "BTC", "binance", "lookback_exceeds_exchange_request_size"), # OperationalException expected # expecing pairs as given ([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume", "lookback_timeframe": "1d", "lookback_period": 1, "refresh_period": 86400}], - "BTC", ['HOT/BTC', 'LTC/BTC', 'ETH/BTC', 'TKN/BTC', 'XRP/BTC']), + "BTC", "binance", ['LTC/BTC', 'ETH/BTC', 'TKN/BTC', 'XRP/BTC', 'HOT/BTC']), # expecting pairs from default tickers, because 1h candles are not available ([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume", "lookback_timeframe": "1h", "lookback_period": 2, "refresh_period": 3600}], - "BTC", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'HOT/BTC', 'FUEL/BTC']), + "BTC", "binance", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'HOT/BTC', 'FUEL/BTC']), + # ftx data is already in Quote currency, therefore won't require conversion + ([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume", + "lookback_timeframe": "1d", "lookback_period": 1, "refresh_period": 86400}], + "BTC", "ftx", ['HOT/BTC', 'LTC/BTC', 'ETH/BTC', 'TKN/BTC', 'XRP/BTC']), ]) def test_VolumePairList_range(mocker, whitelist_conf, shitcoinmarkets, tickers, ohlcv_history, - pairlists, base_currency, volumefilter_result, caplog) -> None: + pairlists, base_currency, exchange, volumefilter_result) -> None: whitelist_conf['pairlists'] = pairlists whitelist_conf['stake_currency'] = base_currency + whitelist_conf['exchange']['name'] = exchange ohlcv_history_high_vola = ohlcv_history.copy() ohlcv_history_high_vola.loc[ohlcv_history_high_vola.index == 1, 'close'] = 0.00090 @@ -603,9 +608,14 @@ def test_VolumePairList_range(mocker, whitelist_conf, shitcoinmarkets, tickers, ohlcv_history_medium_volume = ohlcv_history.copy() ohlcv_history_medium_volume.loc[ohlcv_history_medium_volume.index == 2, 'volume'] = 5 - # create candles for high volume with all candles high volume + # create candles for high volume with all candles high volume, but very low price. ohlcv_history_high_volume = ohlcv_history.copy() ohlcv_history_high_volume.loc[:, 'volume'] = 10 + ohlcv_history_high_volume.loc[:, 'low'] = ohlcv_history_high_volume.loc[:, 'low'] * 0.01 + ohlcv_history_high_volume.loc[:, 'high'] = ohlcv_history_high_volume.loc[:, 'high'] * 0.01 + ohlcv_history_high_volume.loc[:, 'close'] = ohlcv_history_high_volume.loc[:, 'close'] * 0.01 + + mocker.patch('freqtrade.exchange.ftx.Ftx.market_is_tradable', return_value=True) ohlcv_data = { ('ETH/BTC', '1d'): ohlcv_history, From 28011a39076d41e6f1f2182215cbcb420bcb3fa5 Mon Sep 17 00:00:00 2001 From: Matthias Date: Thu, 6 Jan 2022 19:28:04 +0100 Subject: [PATCH 19/25] Update bt_results filename to new.json --- tests/data/test_btanalysis.py | 10 +++++----- tests/test_plotting.py | 12 ++++++------ 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index f58f8da66..8d780dcb3 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -167,8 +167,8 @@ def test_extract_trades_of_period(testdatadir): assert trades1.iloc[-1].close_date == Arrow(2017, 11, 14, 15, 25, 0).datetime -def test_analyze_trade_parallelism(default_conf, mocker, testdatadir): - filename = testdatadir / "backtest-result_test.json" +def test_analyze_trade_parallelism(testdatadir): + filename = testdatadir / "backtest-result_new.json" bt_data = load_backtest_data(filename) res = analyze_trade_parallelism(bt_data, "5m") @@ -242,7 +242,7 @@ def test_combine_dataframes_with_mean_no_data(testdatadir): def test_create_cum_profit(testdatadir): - filename = testdatadir / "backtest-result_test.json" + filename = testdatadir / "backtest-result_new.json" bt_data = load_backtest_data(filename) timerange = TimeRange.parse_timerange("20180110-20180112") @@ -258,7 +258,7 @@ def test_create_cum_profit(testdatadir): def test_create_cum_profit1(testdatadir): - filename = testdatadir / "backtest-result_test.json" + filename = testdatadir / "backtest-result_new.json" bt_data = load_backtest_data(filename) # Move close-time to "off" the candle, to make sure the logic still works bt_data.loc[:, 'close_date'] = bt_data.loc[:, 'close_date'] + DateOffset(seconds=20) @@ -304,7 +304,7 @@ def test_calculate_max_drawdown(testdatadir): def test_calculate_csum(testdatadir): - filename = testdatadir / "backtest-result_test.json" + filename = testdatadir / "backtest-result_new.json" bt_data = load_backtest_data(filename) csum_min, csum_max = calculate_csum(bt_data) diff --git a/tests/test_plotting.py b/tests/test_plotting.py index c1f7d0876..ae93cac79 100644 --- a/tests/test_plotting.py +++ b/tests/test_plotting.py @@ -45,7 +45,7 @@ def test_init_plotscript(default_conf, mocker, testdatadir): default_conf['trade_source'] = "file" default_conf['timeframe'] = "5m" default_conf["datadir"] = testdatadir - default_conf['exportfilename'] = testdatadir / "backtest-result_test.json" + default_conf['exportfilename'] = testdatadir / "backtest-result_new.json" supported_markets = ["TRX/BTC", "ADA/BTC"] ret = init_plotscript(default_conf, supported_markets) assert "ohlcv" in ret @@ -157,7 +157,7 @@ def test_plot_trades(testdatadir, caplog): assert fig == fig1 assert log_has("No trades found.", caplog) pair = "ADA/BTC" - filename = testdatadir / "backtest-result_test.json" + filename = testdatadir / "backtest-result_new.json" trades = load_backtest_data(filename) trades = trades.loc[trades['pair'] == pair] @@ -294,7 +294,7 @@ def test_generate_plot_file(mocker, caplog): def test_add_profit(testdatadir): - filename = testdatadir / "backtest-result_test.json" + filename = testdatadir / "backtest-result_new.json" bt_data = load_backtest_data(filename) timerange = TimeRange.parse_timerange("20180110-20180112") @@ -314,7 +314,7 @@ def test_add_profit(testdatadir): def test_generate_profit_graph(testdatadir): - filename = testdatadir / "backtest-result_test.json" + filename = testdatadir / "backtest-result_new.json" trades = load_backtest_data(filename) timerange = TimeRange.parse_timerange("20180110-20180112") pairs = ["TRX/BTC", "XLM/BTC"] @@ -381,7 +381,7 @@ def test_load_and_plot_trades(default_conf, mocker, caplog, testdatadir): default_conf['trade_source'] = 'file' default_conf["datadir"] = testdatadir - default_conf['exportfilename'] = testdatadir / "backtest-result_test.json" + default_conf['exportfilename'] = testdatadir / "backtest-result_new.json" default_conf['indicators1'] = ["sma5", "ema10"] default_conf['indicators2'] = ["macd"] default_conf['pairs'] = ["ETH/BTC", "LTC/BTC"] @@ -452,7 +452,7 @@ def test_plot_profit(default_conf, mocker, testdatadir): match=r"No trades found, cannot generate Profit-plot.*"): plot_profit(default_conf) - default_conf['exportfilename'] = testdatadir / "backtest-result_test.json" + default_conf['exportfilename'] = testdatadir / "backtest-result_new.json" plot_profit(default_conf) From b3a4ecaf77fd765a14f08c01ad36d0c775a4684f Mon Sep 17 00:00:00 2001 From: Matthias Date: Thu, 6 Jan 2022 19:49:25 +0100 Subject: [PATCH 20/25] Remove old backtest format support --- freqtrade/data/btanalysis.py | 21 +++------------------ tests/data/test_btanalysis.py | 22 ++++++++-------------- tests/testdata/backtest-result_test.json | 1 - 3 files changed, 11 insertions(+), 33 deletions(-) delete mode 100644 tests/testdata/backtest-result_test.json diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index 43d0f15f5..2b4a63441 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -9,16 +9,13 @@ import numpy as np import pandas as pd from freqtrade.constants import LAST_BT_RESULT_FN +from freqtrade.exceptions import OperationalException from freqtrade.misc import json_load from freqtrade.persistence import LocalTrade, Trade, init_db logger = logging.getLogger(__name__) -# Old format - maybe remove? -BT_DATA_COLUMNS_OLD = ["pair", "profit_percent", "open_date", "close_date", "index", - "trade_duration", "open_rate", "close_rate", "open_at_end", "sell_reason"] - # Newest format BT_DATA_COLUMNS = ['pair', 'stake_amount', 'amount', 'open_date', 'close_date', 'open_rate', 'close_rate', @@ -162,20 +159,8 @@ def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = Non ) else: # old format - only with lists. - df = pd.DataFrame(data, columns=BT_DATA_COLUMNS_OLD) - if not df.empty: - df['open_date'] = pd.to_datetime(df['open_date'], - unit='s', - utc=True, - infer_datetime_format=True - ) - df['close_date'] = pd.to_datetime(df['close_date'], - unit='s', - utc=True, - infer_datetime_format=True - ) - # Create compatibility with new format - df['profit_abs'] = df['close_rate'] - df['open_rate'] + raise OperationalException( + "Backtest-results with only trades data are no longer supported.") if not df.empty: if 'profit_ratio' not in df.columns: df['profit_ratio'] = df['profit_percent'] diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index 8d780dcb3..9f0b5aef7 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -8,14 +8,14 @@ from pandas import DataFrame, DateOffset, Timestamp, to_datetime from freqtrade.configuration import TimeRange from freqtrade.constants import LAST_BT_RESULT_FN -from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, BT_DATA_COLUMNS_OLD, - analyze_trade_parallelism, calculate_csum, +from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, analyze_trade_parallelism, calculate_csum, calculate_market_change, calculate_max_drawdown, calculate_underwater, combine_dataframes_with_mean, create_cum_profit, extract_trades_of_period, get_latest_backtest_filename, get_latest_hyperopt_file, load_backtest_data, load_trades, load_trades_from_db) from freqtrade.data.history import load_data, load_pair_history +from freqtrade.exceptions import OperationalException from tests.conftest import create_mock_trades from tests.conftest_trades import MOCK_TRADE_COUNT @@ -51,20 +51,14 @@ def test_get_latest_hyperopt_file(testdatadir, mocker): assert res == testdatadir.parent / "hyperopt_results.pickle" -def test_load_backtest_data_old_format(testdatadir): +def test_load_backtest_data_old_format(testdatadir, mocker): - filename = testdatadir / "backtest-result_test.json" - bt_data = load_backtest_data(filename) - assert isinstance(bt_data, DataFrame) - assert list(bt_data.columns) == BT_DATA_COLUMNS_OLD + ['profit_abs', 'profit_ratio'] - assert len(bt_data) == 179 + filename = testdatadir / "backtest-result_test222.json" + mocker.patch('freqtrade.data.btanalysis.load_backtest_stats', return_value=[]) - # Test loading from string (must yield same result) - bt_data2 = load_backtest_data(str(filename)) - assert bt_data.equals(bt_data2) - - with pytest.raises(ValueError, match=r"File .* does not exist\."): - load_backtest_data(str("filename") + "nofile") + with pytest.raises(OperationalException, + match=r"Backtest-results with only trades data are no longer supported."): + load_backtest_data(filename) def test_load_backtest_data_new_format(testdatadir): diff --git a/tests/testdata/backtest-result_test.json b/tests/testdata/backtest-result_test.json deleted file mode 100644 index dce22acaf..000000000 --- a/tests/testdata/backtest-result_test.json +++ /dev/null @@ -1 +0,0 @@ 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From 9a3d0528a3401465116309bc6c9a42818547d0c3 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 7 Jan 2022 07:55:11 +0100 Subject: [PATCH 21/25] Versionbump ccxt to 1.66.32 closes #6166 --- requirements.txt | 2 +- setup.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/requirements.txt b/requirements.txt index bdc0da750..508c685df 100644 --- a/requirements.txt +++ b/requirements.txt @@ -3,7 +3,7 @@ numpy==1.22.0; python_version > '3.7' pandas==1.3.5 pandas-ta==0.3.14b -ccxt==1.66.20 +ccxt==1.66.32 # Pin cryptography for now due to rust build errors with piwheels cryptography==36.0.1 aiohttp==3.8.1 diff --git a/setup.py b/setup.py index 630bc0f86..2c54bc553 100644 --- a/setup.py +++ b/setup.py @@ -43,7 +43,7 @@ setup( ], install_requires=[ # from requirements.txt - 'ccxt>=1.60.11', + 'ccxt>=1.66.32', 'SQLAlchemy', 'python-telegram-bot>=13.4', 'arrow>=0.17.0', From d64f9030c19f67c55a28cb55a946b149cd15a4c6 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 7 Jan 2022 08:04:01 +0100 Subject: [PATCH 22/25] Remove now unused codesegment --- freqtrade/data/btanalysis.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index 2b4a63441..10dba8683 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -162,8 +162,6 @@ def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = Non raise OperationalException( "Backtest-results with only trades data are no longer supported.") if not df.empty: - if 'profit_ratio' not in df.columns: - df['profit_ratio'] = df['profit_percent'] df = df.sort_values("open_date").reset_index(drop=True) return df From 1203d08d1ec6b9632b80b22b74b25b75f2358917 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 7 Jan 2022 08:44:11 +0100 Subject: [PATCH 23/25] generate_pair_metrics does not need processed dict --- freqtrade/optimize/optimize_reports.py | 15 ++++++++------- tests/optimize/test_optimize_reports.py | 4 ++-- 2 files changed, 10 insertions(+), 9 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 162ece08e..70689ac3b 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -99,11 +99,11 @@ def _generate_result_line(result: DataFrame, starting_balance: int, first_column } -def generate_pair_metrics(data: Dict[str, Dict], stake_currency: str, starting_balance: int, +def generate_pair_metrics(pairlist: List[str], stake_currency: str, starting_balance: int, results: DataFrame, skip_nan: bool = False) -> List[Dict]: """ Generates and returns a list for the given backtest data and the results dataframe - :param data: Dict of containing data that was used during backtesting. + :param pairlist: Pairlist used :param stake_currency: stake-currency - used to correctly name headers :param starting_balance: Starting balance :param results: Dataframe containing the backtest results @@ -113,7 +113,7 @@ def generate_pair_metrics(data: Dict[str, Dict], stake_currency: str, starting_b tabular_data = [] - for pair in data: + for pair in pairlist: result = results[results['pair'] == pair] if skip_nan and result['profit_abs'].isnull().all(): continue @@ -365,11 +365,12 @@ def generate_strategy_stats(btdata: Dict[str, DataFrame], if not isinstance(results, DataFrame): return {} config = content['config'] - max_open_trades = min(config['max_open_trades'], len(btdata.keys())) + pairlist = list(btdata.keys()) + max_open_trades = min(config['max_open_trades'], len(pairlist)) starting_balance = config['dry_run_wallet'] stake_currency = config['stake_currency'] - pair_results = generate_pair_metrics(btdata, stake_currency=stake_currency, + pair_results = generate_pair_metrics(pairlist, stake_currency=stake_currency, starting_balance=starting_balance, results=results, skip_nan=False) @@ -378,7 +379,7 @@ def generate_strategy_stats(btdata: Dict[str, DataFrame], sell_reason_stats = generate_sell_reason_stats(max_open_trades=max_open_trades, results=results) - left_open_results = generate_pair_metrics(btdata, stake_currency=stake_currency, + left_open_results = generate_pair_metrics(pairlist, stake_currency=stake_currency, starting_balance=starting_balance, results=results.loc[results['is_open']], skip_nan=True) @@ -422,7 +423,7 @@ def generate_strategy_stats(btdata: Dict[str, DataFrame], 'trades_per_day': round(len(results) / backtest_days, 2), 'market_change': market_change, - 'pairlist': list(btdata.keys()), + 'pairlist': pairlist, 'stake_amount': config['stake_amount'], 'stake_currency': config['stake_currency'], 'stake_currency_decimals': decimals_per_coin(config['stake_currency']), diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index 925dc3caa..ed939d6b0 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -48,7 +48,7 @@ def test_text_table_bt_results(): ' 0:20:00 | 2 0 1 66.7 |' ) - pair_results = generate_pair_metrics(data={'ETH/BTC': {}}, stake_currency='BTC', + pair_results = generate_pair_metrics(['ETH/BTC'], stake_currency='BTC', starting_balance=4, results=results) assert text_table_bt_results(pair_results, stake_currency='BTC') == result_str @@ -207,7 +207,7 @@ def test_generate_pair_metrics(): } ) - pair_results = generate_pair_metrics(data={'ETH/BTC': {}}, stake_currency='BTC', + pair_results = generate_pair_metrics(['ETH/BTC'], stake_currency='BTC', starting_balance=2, results=results) assert isinstance(pair_results, list) assert len(pair_results) == 2 From e540959c27b852bfc2b5f5d07b0584464487cc0c Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 7 Jan 2022 09:06:29 +0100 Subject: [PATCH 24/25] Remove btdata from generate_strategy_stats --- freqtrade/optimize/hyperopt.py | 3 ++- freqtrade/optimize/optimize_reports.py | 9 ++++----- tests/optimize/test_hyperopt.py | 2 +- 3 files changed, 7 insertions(+), 7 deletions(-) diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py index 58da7d0d5..f98014089 100644 --- a/freqtrade/optimize/hyperopt.py +++ b/freqtrade/optimize/hyperopt.py @@ -76,6 +76,7 @@ class Hyperopt: self.config = config self.backtesting = Backtesting(self.config) + self.pairlist = self.backtesting.pairlists.whitelist if not self.config.get('hyperopt'): self.custom_hyperopt = HyperOptAuto(self.config) @@ -332,7 +333,7 @@ class Hyperopt: params_details = self._get_params_details(params_dict) strat_stats = generate_strategy_stats( - processed, self.backtesting.strategy.get_strategy_name(), + self.pairlist, self.backtesting.strategy.get_strategy_name(), backtesting_results, min_date, max_date, market_change=0 ) results_explanation = HyperoptTools.format_results_explanation_string( diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 70689ac3b..17d1d8128 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -345,14 +345,14 @@ def generate_daily_stats(results: DataFrame) -> Dict[str, Any]: } -def generate_strategy_stats(btdata: Dict[str, DataFrame], +def generate_strategy_stats(pairlist: List[str], strategy: str, content: Dict[str, Any], min_date: datetime, max_date: datetime, market_change: float ) -> Dict[str, Any]: """ - :param btdata: Backtest data + :param pairlist: List of pairs to backtest :param strategy: Strategy name :param content: Backtest result data in the format: {'results: results, 'config: config}}. @@ -365,7 +365,6 @@ def generate_strategy_stats(btdata: Dict[str, DataFrame], if not isinstance(results, DataFrame): return {} config = content['config'] - pairlist = list(btdata.keys()) max_open_trades = min(config['max_open_trades'], len(pairlist)) starting_balance = config['dry_run_wallet'] stake_currency = config['stake_currency'] @@ -512,9 +511,9 @@ def generate_backtest_stats(btdata: Dict[str, DataFrame], """ result: Dict[str, Any] = {'strategy': {}} market_change = calculate_market_change(btdata, 'close') - + pairlist = list(btdata.keys()) for strategy, content in all_results.items(): - strat_stats = generate_strategy_stats(btdata, strategy, content, + strat_stats = generate_strategy_stats(pairlist, strategy, content, min_date, max_date, market_change=market_change) result['strategy'][strategy] = strat_stats diff --git a/tests/optimize/test_hyperopt.py b/tests/optimize/test_hyperopt.py index 8aa1e66f6..ca64d73d5 100644 --- a/tests/optimize/test_hyperopt.py +++ b/tests/optimize/test_hyperopt.py @@ -368,7 +368,7 @@ def test_hyperopt_format_results(hyperopt): 'backtest_start_time': 1619718665, 'backtest_end_time': 1619718665, } - results_metrics = generate_strategy_stats({'XRP/BTC': None}, '', bt_result, + results_metrics = generate_strategy_stats(['XRP/BTC'], '', bt_result, Arrow(2017, 11, 14, 19, 32, 00), Arrow(2017, 12, 14, 19, 32, 00), market_change=0) From cd144cdfc9b0cdcb422bae3e1341fac58b9fe4e6 Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 5 Jan 2022 20:39:14 +0100 Subject: [PATCH 25/25] Add bitvavo to compatibility tests #6166 --- tests/exchange/test_ccxt_compat.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/tests/exchange/test_ccxt_compat.py b/tests/exchange/test_ccxt_compat.py index 2f629528c..ab8a9b651 100644 --- a/tests/exchange/test_ccxt_compat.py +++ b/tests/exchange/test_ccxt_compat.py @@ -52,6 +52,11 @@ EXCHANGES = { 'hasQuoteVolume': True, 'timeframe': '5m', }, + 'bitvavo': { + 'pair': 'BTC/EUR', + 'hasQuoteVolume': True, + 'timeframe': '5m', + }, }