A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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Updated
May 15, 2024 - Python
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.
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
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.
modular quant framework.
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
🐗 🐻 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 🔥 ⚡ 🌈
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
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