| Name | pandas-ta-openbb JSON |
| Version |
0.4.20
JSON |
| download |
| home_page | None |
| Summary | Fork of pandas-ta for use with NumPy 2 and OpenBB. |
| upload_time | 2025-02-14 23:17:32 |
| maintainer | None |
| docs_url | None |
| author | Kevin Johnson |
| requires_python | <3.13,>=3.9 |
| license | MIT |
| keywords |
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| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<p align="center">
<a href="https://www.pandas-ta.dev"><img src="images/ta-logo.png" alt="Pandas TA"></a>
</p>
# Pandas TA
### A Comprehensive Python Technical Analysis Library for Traders and Investors
[](#license)
[](https://pypi.org/project/pandas_ta/)
[](https://pypi.org/project/pandas_ta/)
[](https://pypi.org/project/pandas_ta/)
[](https://pypistats.org/packages/pandas_ta)
[](https://anaconda.org/conda-forge/pandas-ta)
[](#stars)
[](#forks)
[](#usedby)
[](#contributors)
[](#issues)
[](#closed-issues)
[](https://www.buymeacoffee.com/twopirllc)
# Description
_Pandas Technical Analysis_ ([Pandas TA](https://www.pandas-ta.dev)) is a Popular Comprehensive and Easy to Use Python 3 Technical Analysis Library with primary dependencies: _numpy_ for accuracy, _numba_ for performance, and _pandas_ for brevity and bulk processing.
<br>
## Features
* A Free & Open Source library with a LARGE flat library structure similar to TA Lib.
* [150+ indicators](https://www.pandas-ta.dev) and utilities.
* [60+ Candelstick Patterns](https://www.pandas-ta.dev) with [TA Lib](https://ta-lib.org/) installed.
* Performance improvements with [numba](https://github.com/numba/numba)
* A [Pandas DataFrame Extension](https://pandas.pydata.org/docs/development/extending.html) named "ta", that provides additional properties, methods, and indicators to simplify time series calculations of ```ohlcv``` columns.
* Indicator Equivalence
* **Primarily:** TA Lib
* **Secondarily:** TradingView
* **Tertiary:** [Sierra Chart](https://search.sierrachart.com/?Query=indicators&submitted=true) | [MQL5](https://www.mql5.com) | [FM Labs](https://www.fmlabs.com/reference/default.htm) | [Pro Real Code](https://www.prorealcode.com/prorealtime-indicators) | [User 42](https://user42.tuxfamily.org/chart/manual/index.html) | [Technical Traders](http://technical.traders.com/tradersonline/FeedTT-2014.html) | etc
* And [more ...](https://www.pandas-ta.dev/#features)
<br>
## About Churn
The **state** and **status** of this library and it's slowversioning increments _seem_ to be having an impact on it's long term viability and support.
This adapted variation from [Intercooler JS](https://intercoolerjs.org/docs#conclusion) clarifies why Pandas TA does not have frequent versioning.
"This is not because it is dead, but rather because it is (mostly) right: the basic idea is right, and the implementation at least right enough.
Thus there will not be constant activity and churn on the project, but rather a stewardship relationship, where the main goal now is to not screw it up. Documentation and testing will be improved, features/indicators will be added/removed as needed, but there will be no massive rewrite or constant updating. This is in contrast with the software industry in general, which often has comical levels of churn."
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=twopirllc/pandas-ta&type=Date&theme=dark" />
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=twopirllc/pandas-ta&type=Date" />
<img alt="Pandas TA Project Star History Chart" src="https://api.star-history.com/svg?repos=twopirllc/pandas-ta&type=Date" />
</picture>
<br>
# Support :broken_heart:
**A big thank you to all current and past sponsors, whose generous support has been and continues to be essential to the success of the project!** :pray:
[](https://www.buymeacoffee.com/twopirllc) [](https://ko-fi.com/K3K4ZRH9D)
Despite what the usage metrics indicate, current and past levels of support are **unsustainable** for maintaining and improving the library. Unless significant additional support is provided by _July 1st, 2026_, this widely used library will be **archived**. Support through [contributions](https://github.com/twopirllc/pandas-ta/labels/help%20wanted), [donations](https://www.buymeacoffee.com/twopirllc) & [sponsorships](https://github.com/twopirllc) is **necessary** to ensure the project's continued success and development.
:stop_sign: Please* **DO NOT** email me personally with Pandas TA Bugs, Issues or Feature Requests that are best handled via Github [Issues](https://github.com/twopirllc/pandas-ta/issues).
<br>
# Installation
Before installing, review the installation [requirements.txt](https://github.com/twopirllc/pandas-ta/requirements.txt) to ensure your system is set up properly.
### From pypi
```sh
$ pip install pandas-ta
```
### From Github
```sh
$ pip install git+https://github.com/twopirllc/pandas-ta
```
### Development Version
```sh
$ pip install -U git+https://github.com/twopirllc/pandas-ta.git@development
```
* The _development_ version includes _numerous_ bug fixes, speed improvements and better documentation since release, _0.3.14b_.
### Local Installation
Click on green [<> Code](https://github.com/twopirllc/pandas-ta) button to download the source zip and unzip in your application directory. Then perform a local install.
<br>
# Bugs, Indicators and Feature Requests
* Some bugs and features may already be fixed or implemented in the _development_ version. _Please_ try the _development_ version first **before** making an issue!
* If the _development_ version does not resolve the bug, search both _Open_ and _Closed_ [Issues](https://github.com/twopirllc/pandas-ta/issues) **before** opening a new Issue.
<br>
# Contributors
Thank you all for your help! It has been and continues to be integral to this project. :sunglasses:
<br>
<a href="https://github.com/twopirllc/pandas-ta/graphs/contributors">
<img src="https://contrib.rocks/image?anon=1&repo=twopirllc/pandas-ta" noZoom />
</a>
Made with [contrib.rocks](https://contrib.rocks).
<br>
# Contributing
Anyone who wishes to contribute to this project - be it documentation, features, bug fixes, code cleanup, testing, open issue help, or code reviews - are encouraged to do so. These contributions are crucial to the longevity of this project.
Based on your skill level, select from the following issue topics:
[Good First Issue](https://github.com/twopirllc/pandas-ta/labels/good%20first%20issue) | [Bugs](https://github.com/twopirllc/pandas-ta/labels/bug) | [Help Wanted](https://github.com/twopirllc/pandas-ta/labels/help%20wanted) | [Enhancements](https://github.com/twopirllc/pandas-ta/labels/enhancement)
<br>
# Code of Conduct
See the [Code of Conduct](https://github.com/twopirllc/pandas-ta?tab=coc-ov-file) regarding handling yourself and dealing with others in and around the Pandas TA community. Ensure you completely understand the "common sense" **Guidelines** outlined there.
<br>
# License
[MIT](https://github.com/twopirllc/pandas-ta/LICENSE)
<br>
Copyright © 2024 - Pandas TA
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"description": "<p align=\"center\">\n <a href=\"https://www.pandas-ta.dev\"><img src=\"images/ta-logo.png\" alt=\"Pandas TA\"></a>\n</p>\n\n# Pandas TA\n### A Comprehensive Python Technical Analysis Library for Traders and Investors\n\n[](#license)\n[](https://pypi.org/project/pandas_ta/)\n[](https://pypi.org/project/pandas_ta/)\n[](https://pypi.org/project/pandas_ta/)\n[](https://pypistats.org/packages/pandas_ta)\n[](https://anaconda.org/conda-forge/pandas-ta)\n[](#stars)\n[](#forks)\n[](#usedby)\n[](#contributors)\n[](#issues)\n[](#closed-issues)\n[](https://www.buymeacoffee.com/twopirllc)\n\n# Description\n\n_Pandas Technical Analysis_ ([Pandas TA](https://www.pandas-ta.dev)) is a Popular Comprehensive and Easy to Use Python 3 Technical Analysis Library with primary dependencies: _numpy_ for accuracy, _numba_ for performance, and _pandas_ for brevity and bulk processing.\n\n\n\n\n<br>\n\n\n## Features\n* A Free & Open Source library with a LARGE flat library structure similar to TA Lib.\n * [150+ indicators](https://www.pandas-ta.dev) and utilities.\n * [60+ Candelstick Patterns](https://www.pandas-ta.dev) with [TA Lib](https://ta-lib.org/) installed.\n* Performance improvements with [numba](https://github.com/numba/numba)\n* A [Pandas DataFrame Extension](https://pandas.pydata.org/docs/development/extending.html) named \"ta\", that provides additional properties, methods, and indicators to simplify time series calculations of ```ohlcv``` columns.\n* Indicator Equivalence\n * **Primarily:** TA Lib\n * **Secondarily:** TradingView\n * **Tertiary:** [Sierra Chart](https://search.sierrachart.com/?Query=indicators&submitted=true) | [MQL5](https://www.mql5.com) | [FM Labs](https://www.fmlabs.com/reference/default.htm) | [Pro Real Code](https://www.prorealcode.com/prorealtime-indicators) | [User 42](https://user42.tuxfamily.org/chart/manual/index.html) | [Technical Traders](http://technical.traders.com/tradersonline/FeedTT-2014.html) | etc\n* And [more ...](https://www.pandas-ta.dev/#features)\n\n<br>\n\n## About Churn\nThe **state** and **status** of this library and it's slowversioning increments _seem_ to be having an impact on it's long term viability and support.\n\nThis adapted variation from [Intercooler JS](https://intercoolerjs.org/docs#conclusion) clarifies why Pandas TA does not have frequent versioning.\n\n\"This is not because it is dead, but rather because it is (mostly) right: the basic idea is right, and the implementation at least right enough.\n\nThus there will not be constant activity and churn on the project, but rather a stewardship relationship, where the main goal now is to not screw it up. Documentation and testing will be improved, features/indicators will be added/removed as needed, but there will be no massive rewrite or constant updating. This is in contrast with the software industry in general, which often has comical levels of churn.\"\n\n<picture>\n <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://api.star-history.com/svg?repos=twopirllc/pandas-ta&type=Date&theme=dark\" />\n <source media=\"(prefers-color-scheme: light)\" srcset=\"https://api.star-history.com/svg?repos=twopirllc/pandas-ta&type=Date\" />\n <img alt=\"Pandas TA Project Star History Chart\" src=\"https://api.star-history.com/svg?repos=twopirllc/pandas-ta&type=Date\" />\n</picture>\n\n<br>\n\n\n# Support :broken_heart:\n**A big thank you to all current and past sponsors, whose generous support has been and continues to be essential to the success of the project!** :pray:\n\n[](https://www.buymeacoffee.com/twopirllc) [](https://ko-fi.com/K3K4ZRH9D)\n\nDespite what the usage metrics indicate, current and past levels of support are **unsustainable** for maintaining and improving the library. Unless significant additional support is provided by _July 1st, 2026_, this widely used library will be **archived**. Support through [contributions](https://github.com/twopirllc/pandas-ta/labels/help%20wanted), [donations](https://www.buymeacoffee.com/twopirllc) & [sponsorships](https://github.com/twopirllc) is **necessary** to ensure the project's continued success and development.\n\n:stop_sign: Please* **DO NOT** email me personally with Pandas TA Bugs, Issues or Feature Requests that are best handled via Github [Issues](https://github.com/twopirllc/pandas-ta/issues).\n\n<br>\n\n\n# Installation\nBefore installing, review the installation [requirements.txt](https://github.com/twopirllc/pandas-ta/requirements.txt) to ensure your system is set up properly.\n\n### From pypi\n```sh\n$ pip install pandas-ta\n```\n\n### From Github\n```sh\n$ pip install git+https://github.com/twopirllc/pandas-ta\n```\n\n### Development Version\n```sh\n$ pip install -U git+https://github.com/twopirllc/pandas-ta.git@development\n```\n* The _development_ version includes _numerous_ bug fixes, speed improvements and better documentation since release, _0.3.14b_.\n\n### Local Installation\nClick on green [<> Code](https://github.com/twopirllc/pandas-ta) button to download the source zip and unzip in your application directory. Then perform a local install.\n\n<br>\n\n\n# Bugs, Indicators and Feature Requests\n* Some bugs and features may already be fixed or implemented in the _development_ version. _Please_ try the _development_ version first **before** making an issue!\n* If the _development_ version does not resolve the bug, search both _Open_ and _Closed_ [Issues](https://github.com/twopirllc/pandas-ta/issues) **before** opening a new Issue.\n\n<br>\n\n\n# Contributors\nThank you all for your help! It has been and continues to be integral to this project. :sunglasses:\n\n<br>\n\n<a href=\"https://github.com/twopirllc/pandas-ta/graphs/contributors\">\n <img src=\"https://contrib.rocks/image?anon=1&repo=twopirllc/pandas-ta\" noZoom />\n</a>\n\nMade with [contrib.rocks](https://contrib.rocks).\n\n<br>\n\n\n# Contributing\nAnyone who wishes to contribute to this project - be it documentation, features, bug fixes, code cleanup, testing, open issue help, or code reviews - are encouraged to do so. These contributions are crucial to the longevity of this project.\n\nBased on your skill level, select from the following issue topics:\n\n[Good First Issue](https://github.com/twopirllc/pandas-ta/labels/good%20first%20issue) | [Bugs](https://github.com/twopirllc/pandas-ta/labels/bug) | [Help Wanted](https://github.com/twopirllc/pandas-ta/labels/help%20wanted) | [Enhancements](https://github.com/twopirllc/pandas-ta/labels/enhancement)\n\n<br>\n\n\n# Code of Conduct\nSee the [Code of Conduct](https://github.com/twopirllc/pandas-ta?tab=coc-ov-file) regarding handling yourself and dealing with others in and around the Pandas TA community. Ensure you completely understand the \"common sense\" **Guidelines** outlined there.\n\n<br>\n\n\n# License\n[MIT](https://github.com/twopirllc/pandas-ta/LICENSE)\n\n<br>\n\nCopyright \u00a9 2024 - Pandas TA\n",
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