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.

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

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

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

TA-Lib (Core C Library)

Finviz analysis python library.

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

Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

quant framework for stock

low code backtesting library utilizing pandas and technical analysis indicators

talipp - incremental technical analysis library for python

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

Indicator TS delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

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.

🤖 Self-hosted AI trading signals - 5 swappable strategy presets (Classic, HMM, regime-aware, VWAP+EMA+BB, Full-Risk Pipline), multi-preset backtest comparison, paper trading, Telegram bot. BTC, ETH, Gold, Forex. Free forever.

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.

Visualize OnlineTechnicalIndicators.jl using LightweightCharts.jl.

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

Trading terminal for macOS. Scans 3 370 symbols across 12 timeframes to surface what's moving together. Tauri + Python + React. Open source, runs on your machine.

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.

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.