There are 568 repositories under algorithmic-trading topic.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Zipline, a Pythonic Algorithmic Trading Library
FinRL®: Financial Reinforcement Learning. 🔥
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
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
A curated list of practical financial machine learning tools and applications.
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Portfolio analytics for quants, written in Python
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
Open source crypto trading bot
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Performance analysis of predictive (alpha) stock factors
A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.
A list of online resources for quantitative modeling, trading, portfolio management
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
Quantitative analysis, strategies and backtests
QTPyLib, Pythonic Algorithmic Trading
Common financial technical indicators implemented in Pandas.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Using python and scikit-learn to make stock predictions
Machine Learning in Asset Management (by @firmai)