mirror of
https://github.com/wassname/pandas-ta.git
synced 2026-08-11 11:22:48 +08:00
@@ -14,7 +14,7 @@ Pandas TA - A Technical Analysis Library in Python 3
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[](https://pypistats.org/packages/pandas_ta)
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[](#stars)
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[](#forks)
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[](#usedby)
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[](#usedby)
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[](#contributors)
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[](#issues)
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[](#closed-issues)
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@@ -111,7 +111,7 @@ $ pip install pandas_ta
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Latest Version
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--------------
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Best choice! Version: *0.2.97b*
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Best choice! Version: *0.2.98b*
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* Includes all fixes and updates between **pypi** and what is covered in this README.
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```sh
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$ pip install -U git+https://github.com/twopirllc/pandas-ta
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@@ -210,7 +210,7 @@ Thanks for using **Pandas TA**!
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_Thank you for your contributions!_
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[AbyssAlora](https://github.com/AbyssAlora) | [alexonab](https://github.com/alexonab) | [allahyarzadeh](https://github.com/allahyarzadeh) | [bizso09](https://github.com/bizso09) | [CMobley7](https://github.com/CMobley7) | [codesutras](https://github.com/codesutras) | [DannyMartens](https://github.com/DannyMartens) | [DrPaprikaa](https://github.com/DrPaprikaa) | [daikts](https://github.com/daikts) | [dorren](https://github.com/dorren) | [edwardwang1](https://github.com/edwardwang1) | [FGU1](https://github.com/FGU1) | [ffhirata](https://github.com/ffhirata) | [floatinghotpot](https://github.com/floatinghotpot) | [GSlinger](https://github.com/gslinger) | [JoeSchr](https://github.com/JoeSchr) | [lluissalord](https://github.com/lluissalord) | [luisbarrancos](https://github.com/luisbarrancos) | [M6stafa](https://github.com/M6stafa) | [maxdignan](https://github.com/maxdignan) | [mchant](https://github.com/mchant) | [moritzgun](https://github.com/moritzgun) | [NkosenhleDuma](https://github.com/NkosenhleDuma) | [nicoloridulfo](https://github.com/nicoloridulfo) | [pbrumblay](https://github.com/pbrumblay) | [RajeshDhalange](https://github.com/RajeshDhalange) | [rengel8](https://github.com/rengel8) | [rluong003](https://github.com/rluong003) | [SoftDevDanial](https://github.com/SoftDevDanial) | [tg12](https://github.com/tg12) | [twrobel](https://github.com/twrobel) | [WellMaybeItIs](https://github.com/WellMaybeItIs) | [whubsch](https://github.com/whubsch) | [witokondoria](https://github.com/witokondoria) | [wouldayajustlookatit](https://github.com/wouldayajustlookatit) | [YuvalWein](https://github.com/YuvalWein) | [zlpatel](https://github.com/zlpatel)
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[AbyssAlora](https://github.com/AbyssAlora) | [alexonab](https://github.com/alexonab) | [allahyarzadeh](https://github.com/allahyarzadeh) | [bizso09](https://github.com/bizso09) | [CMobley7](https://github.com/CMobley7) | [codesutras](https://github.com/codesutras) | [DannyMartens](https://github.com/DannyMartens) | [DrPaprikaa](https://github.com/DrPaprikaa) | [daikts](https://github.com/daikts) | [delicateear](https://github.com/delicateear) | [dorren](https://github.com/dorren) | [edwardwang1](https://github.com/edwardwang1) | [FGU1](https://github.com/FGU1) | [ffhirata](https://github.com/ffhirata) | [floatinghotpot](https://github.com/floatinghotpot) | [GSlinger](https://github.com/gslinger) | [JoeSchr](https://github.com/JoeSchr) | [lluissalord](https://github.com/lluissalord) | [luisbarrancos](https://github.com/luisbarrancos) | [M6stafa](https://github.com/M6stafa) | [maxdignan](https://github.com/maxdignan) | [mchant](https://github.com/mchant) | [moritzgun](https://github.com/moritzgun) | [NkosenhleDuma](https://github.com/NkosenhleDuma) | [nicoloridulfo](https://github.com/nicoloridulfo) | [pbrumblay](https://github.com/pbrumblay) | [RajeshDhalange](https://github.com/RajeshDhalange) | [rengel8](https://github.com/rengel8) | [rluong003](https://github.com/rluong003) | [SoftDevDanial](https://github.com/SoftDevDanial) | [tg12](https://github.com/tg12) | [twrobel](https://github.com/twrobel) | [WellMaybeItIs](https://github.com/WellMaybeItIs) | [whubsch](https://github.com/whubsch) | [witokondoria](https://github.com/witokondoria) | [wouldayajustlookatit](https://github.com/wouldayajustlookatit) | [YuvalWein](https://github.com/YuvalWein) | [zlpatel](https://github.com/zlpatel)
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<br/>
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@@ -981,6 +981,7 @@ trading account, or fund. See ```help(ta.drawdown)```
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* _Decreasing_ (**decreasing**): New argument ```strict``` checks if the series is continuously decreasing over period ```length``` with a faster calculation. Default: ```False```. The ```percent``` argument has also been added with default None. See ```help(ta.decreasing)```.
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* _Increasing_ (**increasing**): New argument ```strict``` checks if the series is continuously increasing over period ```length``` with a faster calculation. Default: ```False```. The ```percent``` argument has also been added with default None. See ```help(ta.increasing)```.
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* _Parabolic Stop and Reverse_ (**psar**): Bug fix and adjustment to match TradingView's ```sar```. New argument ```af0``` to initialize the Acceleration Factor. See ```help(ta.psar)```.
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* _Volume Profile_ (**vp**): Calculation improvements. See [Pull Request #320](https://github.com/twopirllc/pandas-ta/pull/320) See ```help(ta.vp)```.
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* _Volume Weighted Moving Average_ (**vwma**): Fixed bug in DataFrame Extension call. See ```help(ta.vwma)```.
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* _Volume Weighted Average Price_ (**vwap**): Added a new parameter called ```anchor```. Default: "D" for "Daily". See [Timeseries Offset Aliases](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#timeseries-offset-aliases) for additional options. **Requires** the DataFrame index to be a DatetimeIndex. See ```help(ta.vwap)```.
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* _Z Score_ (**zscore**): Changed return column name from ```Z_length``` to ```ZS_length```. See ```help(ta.zscore)```.
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