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stock-indicators
Release 1.2.1

Stock 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.

Homepage Repository PyPI Python

Keywords: Stock, Indicators, Technical, Market, 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, 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, quantitative-finance, stock-analysis, stock-indicators, stock-market, technical-analysis, technical-indicators, trading-algorithms
License: Apache-2.0
Install: pip install stock-indicators==1.2.1

Documentation

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 is also available.

Visit our project site for more information: