There are 273 repositories under quantitative-trading topic.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
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
Portfolio analytics for quants, written in Python
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.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
A list of online resources for quantitative modeling, trading, portfolio management
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Quantitative analysis, strategies and backtests
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
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
List of awesome resources for machine learning-based algorithmic trading
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
Quantitative Interview Preparation Guide, updated version here ==>
Multi-asset, multi-strategy, event-driven trading platform for running low to medium freq strategies at many venues simultaneously with portfolio-based risk management and %-per-strategy capital allocation. Supports event-driven backtesting across all desired instruments, venues and strategies under a single parameterized portfolio.
Backtest and live trading in Python
The Open-Source Backtesting Engine/ Trading Simulator by Bertram Solutions.
A Light Event-Driven Algorithmic Trading Engine
A trading bot for automated algorithmic trading on Binance Futures, Bybit, BitMEX and FTX written in python.
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
playing idealized trading games with deep reinforcement learning
A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model