Top 58 technical-analysis open source projects

Technical analysis library for Rust language

Automated Bittrex crypto-currency technical analysis and trading tool

Technical analysis and other functions to construct technical trading rules with R

A multi-asset, multi-strategy, event-driven trade execution and management platform for running many algorithms/bots at many venues simultaneously with unified risk management and reporting. Uses MongoDB for storage and Telegram for user notifications/trade consent.

Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange

Automated cryptocurrency trading on Coinbase Pro (formerly gdax-trader)

Technical Analysis Library using Pandas and Numpy

Stock indicator technical analysis library package for .NET. Send in historical price quotes and get back desired technical indicators. 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. Current indicators include: Accumulation/Distribution Line (ADL), Aroon Oscillator, Arnaud Legoux Moving Average (ALMA), Average Directional Index (ADX), Average True Range (ATR), Awesome Oscillator (AO), Balance of Power (BOP), Beta Coefficient, Bollinger Bands®, Chaikin Money Flow (CMF), Chaikin Oscillator, Chandelier Exit, Choppiness Index (CHOP), Commodity Channel Index (CCI), ConnorsRSI, Correlation Coefficient, Donchian Channels, Double Exponential Moving Average (DEMA), Elder-ray Index, Exponential Moving Average (EMA), Force Index, Fractal Chaos Bands (FCB), Gator Oscillator, Heikin-Ashi, Hull Moving Average (HMA), Ichimoku Cloud, Kaufman's Adaptive Moving Average (KAMA), KDJ Index, Keltner Channels, Momentum Oscillator, Money Flow Index (MFI), MESA Adaptive Moving Averages (MAMA), Moving Average Convergence/Divergence (MACD), Moving Average Envelopes, On-balance Volume (OBV), Parabolic SAR (stop and reverse), Percentage Volume Oscillator (PVO), Pivot Points and Rolling Pivot Points, Price Channels, Price (Comparative) Relative Strength (PRS), Price Momentum Oscillator (PMO), Rate of Change (ROC), Relative Strength Index (RSI), R-Squared (Coefficient of Determination), Simple Moving Average (SMA), Slope and Linear Regression, Smoothed Moving Average (SMMA), Standard Deviation, Stoller Average Range Channel (STARC) Bands, Stochastic Oscillator, Stochastic RSI, SuperTrend, Tillson T3 Moving Average, Triple Exponential Moving Average (TEMA), Triple EMA Oscillator (TRIX), True Strength Index (TSI), Ulcer Index, Ultimate Oscillator, Volume Simple Moving Average, Volume Weighted Average Price (VWAP), Vortex Indicator (VI), Weighted Moving Average (WMA), Williams %R, Williams Alligator, Williams Fractal, and Zig Zag.

Python library for identifying the peaks and valleys of a time series.

Candlestick patterns detection.

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

Candlestick patterns detector

The Open-Source Backtesting Engine/ Market Simulator by Bertram Solutions.

Technical Analysis Library Time-Series

Financial market technical analysis & indicators in Julia

Stock Analysis Tutorial in Python

Simple javascript library containing methods for financial technical analysis

Technical indicators to run technical analysis with JavaScript / TypeScript. 📈

modular quant framework.

A javascript technical indicators written in typescript with pattern recognition right in the browser

EasyLanguage indicators and systems for TradeStation

Strategies to Gekko trading bot with backtests results and some useful tools.

TA-Lib RT is a fork of TA-Lib that provides additional API for incremental calculation of indicators without reprocessing whole data.

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

quant framework for stock

Terminal dashboard for trading Bitcoin, predicting price movements, and losing all your money

股市技術分析小工具

Common financial technical indicators implemented in Pandas.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Cryptocurrency trading bot: high frequency, daily trading, social trading, ...

Python wrapper for TA-Lib (http://ta-lib.org/).

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

Python library of various financial technical indicators

A pure Go port of TA-Lib (http://ta-lib.org)

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

Technical Analysis Library for Golang

A Java library for technical analysis ***Not maintained anymore, kept for archival purposes, see #192***

Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks

Finance package written in Golang, mainly with TA indicators.

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Multi Strategy Trading Algorithm

Implementation of Algorthmic Prediction of Candle Patterns

Database for crypto data, supporting several exchanges. Can be used for TA, bots, backtest, realtime trading, etc.

Technical indicator library for Elixir with no dependencies.

Yet Another Technical Analysis library [for Rust]

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

Demo code and other hand-out materials for our Python for Decision Makers and Business Leaders course

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Apply popular TA tools and charts to candlestick data with NumPy.

A Python-based stock screener to find stocks with potential breakout probability from NSE India.

Candlestick chart generator (with event mark and TA indicator) using go-echarts

Python functions and an associated Jupyter notebook for technical analysis of stock price data. Numpy is used for calculating technical indicators. Matplotlib and mpl_finance are used for plotting data.

Crypto trading bot using Binance API (Java)

Extensible Algo-Trading Python Package.

A collection of John Ehlers technical analysis indicators / Filters written in pure go, with links to original papers

A Python Module That Uses ANN To Predict A Stocks Price And Also Provides Accurate Technical Analysis With Many High Potential Implementations!

valuable sources for TA, FA, Algorithmic \ Quant Trading

Unofficial TradingView technical analysis API wrapper.