Python library of various financial technical indicators

Technical Indicators implemented in Python using Pandas

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 100+ Indicators

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

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

📈Lightweight k-line chart built with html5 canvas . Zero dependencies. Support mobile（基于html5 canvas的轻量级k线图，无第三方依赖，支持移动端）.

python tools for Finance

Citizen Lab Malware Reports

Candlestick patterns detection.

Financial market technical analysis & indicators in Julia

🔮Technical analysis math. Library for technical indicators and overlays with price data in any format.

A collection of the various technical indicators implemented in Pine Script Language

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

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

Stock Analysis Tutorial in Python

valuable sources for TA, FA, Algorithmic \ Quant Trading

Finance package written in Golang, mainly with TA indicators.

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

Charts for displaying stocks technical indicators

A multi-targeting .NET framework NuGet library that produces stock indicators. Send in stock quote history and get back the desired indicators. Nothing more. Current indicators include: Aroon, Average Directional Index (ADX), Average True Range (ATR), Beta Coefficient, Bollinger Bands, Chandelier Exit, Commodity Channel Index (CCI), Correlation Coefficient, Exponential Moving Average, Heikin-Ashi, Moving Average Convergence/Divergence (MACD), Parabolic SAR, Relative Strength Index (RSI), Simple Moving Average, Standard Deviation, Stochastic Oscillator, Stochastic RSI, Ulcer Index

create a learning agent using Q-learning

A Rust library providing useful technical indicators.

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.

Simple use of technical analysis indicators for C#, based on TALib.

Extra recipes for quantitative analysis

Twelve Data - financial data API

Pandas over Tulipy library

Machine learning, database, and quant tools for forex trading.