Add analyze_trade_parallelism analysis function
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@ -52,7 +52,7 @@ def load_backtest_data(filename) -> pd.DataFrame:
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return df
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def parallel_trade_analysis(results: pd.DataFrame, timeframe: str) -> pd.DataFrame:
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def analyze_trade_parallelism(results: pd.DataFrame, timeframe: str) -> pd.DataFrame:
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"""
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Find overlapping trades by expanding each trade once per period it was open
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and then counting overlaps.
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@ -62,7 +62,8 @@ def parallel_trade_analysis(results: pd.DataFrame, timeframe: str) -> pd.DataFra
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"""
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from freqtrade.exchange import timeframe_to_minutes
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timeframe_min = timeframe_to_minutes(timeframe)
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dates = [pd.Series(pd.date_range(row[1].open_time, row[1].close_time, freq=f"{timeframe_min}min"))
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dates = [pd.Series(pd.date_range(row[1].open_time, row[1].close_time,
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freq=f"{timeframe_min}min"))
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for row in results[['open_time', 'close_time']].iterrows()]
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deltas = [len(x) for x in dates]
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dates = pd.Series(pd.concat(dates).values, name='date')
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@ -85,7 +86,7 @@ def evaluate_result_multi(results: pd.DataFrame, timeframe: str,
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:param max_open_trades: parameter max_open_trades used during backtest run
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:return: dataframe with open-counts per time-period in freq
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"""
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df_final = parallel_trade_analysis(results, timeframe)
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df_final = analyze_trade_parallelism(results, timeframe)
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return df_final[df_final['open_trades'] > max_open_trades]
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@ -10,7 +10,7 @@ from freqtrade.data.btanalysis import (BT_DATA_COLUMNS,
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create_cum_profit,
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extract_trades_of_period,
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load_backtest_data, load_trades,
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load_trades_from_db)
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load_trades_from_db, analyze_trade_parallelism)
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from freqtrade.data.history import load_data, load_pair_history
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from tests.test_persistence import create_mock_trades
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@ -32,7 +32,7 @@ def test_load_backtest_data(testdatadir):
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@pytest.mark.usefixtures("init_persistence")
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def test_load_trades_db(default_conf, fee, mocker):
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def test_load_trades_from_db(default_conf, fee, mocker):
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create_mock_trades(fee)
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# remove init so it does not init again
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@ -84,6 +84,17 @@ def test_extract_trades_of_period(testdatadir):
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assert trades1.iloc[-1].close_time == Arrow(2017, 11, 14, 15, 25, 0).datetime
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def test_analyze_trade_parallelism(default_conf, mocker, testdatadir):
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filename = testdatadir / "backtest-result_test.json"
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bt_data = load_backtest_data(filename)
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res = analyze_trade_parallelism(bt_data, "5m")
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assert isinstance(res, DataFrame)
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assert 'open_trades' in res.columns
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assert res['open_trades'].max() == 3
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assert res['open_trades'].min() == 0
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def test_load_trades(default_conf, mocker):
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db_mock = mocker.patch("freqtrade.data.btanalysis.load_trades_from_db", MagicMock())
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bt_mock = mocker.patch("freqtrade.data.btanalysis.load_backtest_data", MagicMock())
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