#Quantitative-trading
Showing 60 of 204 repositories tagged #quantitative-trading, ranked by stars
LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
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.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
[🔥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
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
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 awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
An advanced crypto trading bot written in Python
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 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
modular quant framework.
A list of online resources for quantitative modeling, trading, portfolio management
We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries. 我们致力于量化知识的开源与汉化，打破国内外量化金融行业信息差。
Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.
Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds
Quantitative analysis, strategies and backtests
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
A comprehensive quantitative trading system with AI-powered analysis, real-time data processing, and advanced risk management
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
: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.
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
List of awesome resources for machine learning-based algorithmic trading
自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方个性化扩展数据 | 个人开源 ,非TickFlow官方项目
入门资料整理：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
Quantitative Interview Preparation Guide, updated version here ==>
交易猫数据系统
Backtest and live trading in Python
A trading bot for automated algorithmic trading on Binance Futures, Bybit, BitMEX and FTX written in python.
a high-performance, easy-to-use, multi-symbol, multi-strategy, multi-period, multi-account event-driven trading bot
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.
A Light Event-Driven Algorithmic Trading Engine
The Open-Source Backtesting Engine/ Trading Simulator by Bertram Enterprises.
A toolkit for building AI-automated trading strategies on Kalshi prediction markets.
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
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
An API for backtesting trading strategies in JavaScript and TypeScript.
量化资源和教程请访问 ke.quantide.cn 和公众号🫶Quantide
The ultimate guide to landing a job or internship in quantitative finance.
Java/MySQL real-time algorithmic trading using Interactive Brokers API
AI-powered Vibe Investing for NASDAQ, S&P500 & crypto: LLM quant trading tools, multi-agent backtesting, and data-driven market columns (mNAV arbitrage, BTC-Nasdaq coupling, Alpha Arena). 미국 주식·가상화폐 AI 투자 큐레이션·칼럼·트레이딩 봇.
A collection of methods for solving Finance/Accounting equations, implemented in C#.
Python-based quant trading research project for short-term reversal option setups, universe selection, staged-entry backtesting, and live paper trading.
A dockerized Jupyter quant research environment.
QUIK# (QUIK Sharp) is the QUIK Lua interface ported to .NET.
Repository for YouTube tutorial on how to run MetaTrader5 + VNC + Python Flask API in a Docker Container on a Linux server.
Qbot 微信小程序: 自选基金/股票助手、策略选股、股票盯盘、量化投研智库
本仓库为公众号FinHack炼金术《从零开始卷量化》系列文章示例代码，带你零基础入门量化交易！
Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API