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Remove duplicate backtest-result-analysi documentation
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@ -65,35 +65,7 @@ Where `-s TestStrategy` refers to the class name within the strategy file `test_
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python3 ./freqtrade/main.py backtesting --export trades
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```
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The exported trades can be read using the following code for manual analysis, or can be used by the plotting script `plot_dataframe.py` in the scripts folder.
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``` python
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import json
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from pathlib import Path
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import pandas as pd
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filename=Path('user_data/backtest_data/backtest-result.json')
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with filename.open() as file:
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data = json.load(file)
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columns = ["pair", "profit", "opents", "closets", "index", "duration",
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"open_rate", "close_rate", "open_at_end", "sell_reason"]
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df = pd.DataFrame(data, columns=columns)
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df['opents'] = pd.to_datetime(df['opents'],
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unit='s',
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utc=True,
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infer_datetime_format=True
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)
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df['closets'] = pd.to_datetime(df['closets'],
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unit='s',
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utc=True,
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infer_datetime_format=True
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)
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```
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If you have some ideas for interesting / helpful backtest data analysis, feel free to submit a PR so the community can benefit from it.
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The exported trades can be used for [further analysis](#further-backtest-result-analysis), or can be used by the plotting script `plot_dataframe.py` in the scripts folder.
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#### Exporting trades to file specifying a custom filename
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@ -263,7 +235,9 @@ df.groupby("pair")["sell_reason"].value_counts()
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```
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This will allow you to drill deeper into your backtest results, and perform analysis which would make the regular backtest-output unreadable.
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This will allow you to drill deeper into your backtest results, and perform analysis which would make the regular backtest-output unreadable.
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If you have some ideas for interesting / helpful backtest data analysis ideas, please submit a PR so the community can benefit from it.
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## Backtesting multiple strategies
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