stock-indicators


Namestock-indicators JSON
Version 1.3.0 PyPI version JSON
download
home_pageNone
SummaryStock Indicators for Python. Send in historical price quotes and get back desired technical indicators such as Stochastic RSI, Average True Range, Parabolic SAR, etc. Nothing more.
upload_time2024-05-06 13:50:17
maintainerDong-Geon Lee
docs_urlNone
authorDave Skender
requires_python>=3.8
licenseApache 2.0
keywords stock indicators technical indicators market technical analysis algorithmic trading trade momentum finance algorithm algo algotrading financial strategy chart charting oscillator overlay equity bitcoin crypto cryptocurrency forex quantitative historical quotes accumulation distribution adl aroon true range atr bollinger bands commodity cci chandelier exit chaikin money flow cmf mfi kaufman adaptive moving average convergence divergence macd sma ema dema tema trix smoothed elder-ray bull bear power force hurst exponent relative strength index rsi connors rsi stochastic directional movement adx donchian keltner channel heikin-ashi hilbert transform instantaneous trendline hull hma ichimoku cloud on-balance volume obv price pmo prs parabolic sar psar pivot points rate of change roc linear regression r-squared renko schaff cycle slope standard deviation beta convexity correlation supertrend ulcer ultimate vortex williams %r alligator gator fractal chaos choppiness endpoint wma zigzag
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            [![image](https://raw.githubusercontent.com/facioquo/stock-indicators-python/main/docs/assets/social-banner.png)](https://python.stockindicators.dev/)

[![PyPI](https://img.shields.io/pypi/v/stock-indicators?color=blue&label=PyPI)](https://badge.fury.io/py/stock-indicators)
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# Stock Indicators for Python

**Stock Indicators for Python** is a PyPI library package that produces financial market technical indicators.  Send in historical price quotes and get back desired indicators such as moving averages, Relative Strength Index, Stochastic Oscillator, Parabolic SAR, etc.  Nothing more.

It can be used in any market analysis software using standard OHLCV price quotes for equities, commodities, forex, cryptocurrencies, and others.  We had private trading algorithms, machine learning, and charting systems in mind when originally creating this community library.  [Stock Indicators for .NET](https://dotnet.stockindicators.dev/) is also available.

Visit our project site for more information:

- [Overview](https://python.stockindicators.dev/)
- [Indicators and overlays](https://python.stockindicators.dev/indicators/)
- [Guide and Pro tips](https://python.stockindicators.dev/guide/)
- [Release notes](https://github.com/facioquo/stock-indicators-python/releases)
- [Discussions](https://github.com/DaveSkender/Stock.Indicators/discussions)
- [Contributing](https://github.com/facioquo/stock-indicators-python/blob/main/docs/contributing.md#readme)

            

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