Skip to content
#

quantitative-trading

Here are 348 public repositories matching this topic...

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.

  • Updated Nov 13, 2024
  • Python
Qbot

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

  • Updated Nov 9, 2024
  • Jupyter Notebook
quant-trading

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

  • Updated Apr 14, 2024
  • Python
Superalgos

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.

  • Updated Nov 23, 2024
  • JavaScript

A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures

  • Updated Nov 20, 2024
  • Rust

Improve this page

Add a description, image, and links to the quantitative-trading topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the quantitative-trading topic, visit your repo's landing page and select "manage topics."

Learn more