Awesome Quant

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

Technical Analysis Library using Pandas and Numpy

modular quant framework.

A Java library for technical analysis.

Common financial technical indicators implemented in Pandas.

AI agents that actually place the trade. 12 brokers, real backtests, stocks options futures forex crypto and prediction markets.

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

High-performance technical analysis indicators and backtesting framework in Go. Zero dependencies. ✨ See how! 👀

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Finviz analysis python library.

Official TA-Lib Core

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

quant framework for stock

low code backtesting library utilizing polars and technical analysis indicators

talipp - incremental technical analysis library for python

High-performance technical analysis indicators and backtesting framework in TypeScript. Zero dependencies. ✨ See how! 👀

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

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

Financial market technical analysis & indicators in Julia

Self-hosted Python strategy research and Alpaca paper trading with broker reconciliation, evidence gates, and live execution disabled.

A python library for computing technical analysis indicators on streaming data.

AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.

Modular, chainable sliding windows with various signal processing functions such as normalization, RSI, ROC and other technical indicators.

A Julia wrapper for TA-Lib

Quant trading framework by OctoBot. Write, backtest & automate Python trading strategies like TradingView Pine Script. Work in progress.

Open-source AI trading signal engine with a public, inspectable outcome ledger. Our own signals lose money on average after modeled costs — we publish every row anyway. Multi-timeframe TA, backtester, paper trading, Telegram/Discord alerts. Self-hosted, Next.js + PostgreSQL, MIT.

Julia Incremental Technical Analysis Indicators (inspired by talipp)

MCP server for Chart Library — visual chart pattern search engine. Find similar historical stock charts and see what happened next.

Rust crate of validated, decimal-precise trading building blocks: price types, L2 order book, tick-to-OHLCV aggregation, hundreds of streaming indicators, position ledger, risk rules, Black-Scholes Greeks and a walk-forward backtester. On crates.io.

Visualize OnlineTechnicalIndicators.jl using LightweightCharts.jl.

Binance USDT-M futures scanner — 57 indicators × 12 timeframes + futures-microstructure/regime/MTF overlays, whale-divergence filter, one consensus verdict per symbol. Desktop (Python + React "Depth Terminal") & Android (Compose). Public data only, no keys.

Trading terminal for macOS. Scans 3 375 symbols across 12 timeframes to surface what's moving together. Tauri + Python + React. Open source, runs on your machine.

Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents

Free AI Stock Reports Delivered Daily — Wall Street-grade analysis for US, China & HK stocks. 100% free.

Sextant is a local Python Financial Backtest app with a Streamlit interface. The core is a strict bar-by-bar event loop (MarketEvent → SignalEvent → OrderEvent → FillEvent) — fully deterministic, with a complete JSON audit trail of every event.