47,133 repositories indexed
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Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
ValueCell is a community-driven, multi-agent platform for financial applications.
Polar — A billing platform for the intelligence era
Bindu: The identity, communication, and payments layer for AI agents.
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Portfolio and risk analytics in Python
Beancount: Double-Entry Accounting from Text Files.
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
High-performance TensorFlow library for quantitative finance.
11 Claude skills for day trading: scan thousands of charts, track breaking news, time every entry and exit, and replay every outcome before you risk a dollar.
Performance analysis of predictive (alpha) stock factors
modular quant framework.
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Deep neural network to extract intelligent information from invoice documents.
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Python module to get stock data from Yahoo! Finance