master
algorithmic-trading-with-python
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.github\workflows\snorkell-auto-documentation.yml
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listings\chapter_1\1_1_type_hinting_examples.py
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listings\chapter_1\1_2_pandas_data_types.py
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listings\chapter_1\1_3_pandas_data_types_part_2.py
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listings\chapter_1\1_4_pandas_indexes.py
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listings\chapter_2\2_10_maximum_drawdown.py
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listings\chapter_2\2_11_maximum_drawdown_with_metadata.py
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listings\chapter_2\2_12_log_max_drawdown_ratio.py
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listings\chapter_2\2_13_calmar_ratio.py
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listings\chapter_2\2_14_pure_profit_score.py
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listings\chapter_2\2_15_jensens_alpha.py
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listings\chapter_2\2_1_return_series_pure_python.py
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listings\chapter_2\2_2_return_series_pandas.py
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listings\chapter_2\2_3_log_return_series.py
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listings\chapter_2\2_4_annualized_volatility.py
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listings\chapter_2\2_5_annualized_volatility_on_awu.py
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listings\chapter_2\2_6_calculating_cagr.py
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listings\chapter_2\2_7_calculating_cagr_on_awu.py
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listings\chapter_2\2_8_calculating_sharpe_ratio.py
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listings\chapter_2\2_9_calculating_downside_volatility.py
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