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

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

Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks

modular quant framework.

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

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

quant framework for stock

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

Common financial technical indicators implemented in Pandas.

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

Python library of various financial technical indicators

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

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***

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

Automated Bittrex crypto-currency technical analysis and trading tool

Technical analysis library for Rust language

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

Multi-asset, multi-strategy, event-driven trade execution and management platform for automated buy-side trading of common markets, using MongoDB for storage and Telegram for user notifications/trade consent.

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

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

Candlestick patterns detection.

Technical Analysis Library Time-Series

Stock indicator technical analysis library package for .NET. Send in price quote history and get back the 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, Commodity Channel Index (CCI), ConnorsRSI, Correlation Coefficient, Donchian Channels, Double Exponential Moving Average (DEMA), Exponential Moving Average (EMA), 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, 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), Weighted Moving Average (WMA), Williams %R, Williams Fractal, and Zig Zag.

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

Financial market technical analysis & indicators in Julia