#Quantitative-finance
Showing 60 of 734 repositories tagged #quantitative-finance, ranked by stars
Open Data Platform for analysts, quants and AI agents.
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.
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
"Vibe-Trading: Your Personal Trading Agent"
[🔥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
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
Python wrapper for TA-Lib (http://ta-lib.org/).
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
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
A curated list of practical financial machine learning tools and applications.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
An advanced crypto trading bot written in Python
Portfolio analytics for quants, written in Python
The QuantLib C++ library
Collection of notebooks about quantitative finance, with interactive python code.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
量化研究-券商金工研报复现
High-performance TensorFlow library for quantitative finance.
Transparent and Efficient Financial Analysis
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Portfolio Optimization in Python
modular quant framework.
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
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.
Algorithmic Trading in Python with Machine Learning
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
基于深度强化学习的开源自动因子工厂。
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
QTPyLib, Pythonic Algorithmic Trading
Open Source Algo Trading Platform for Everyone
BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）
Open-source Rust framework for building event-driven live-trading & backtesting systems
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
Python library for portfolio optimization built on top of scikit-learn
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
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
Using python and scikit-learn to make stock predictions
QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance.
Use unsupervised and supervised learning to predict stocks
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
Rust library for quantitative finance.
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Machine Learning in Asset Management (by @firmai)
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.
The Official Python SDK for Alpaca API
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.
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.