Starred repositories
An agentic skills framework & software development methodology that works.
An open-source AI agent that brings the power of Gemini directly into your terminal.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Financial data platform for analysts, quants and AI agents.
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, i…
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Download market data from Yahoo! Finance's API
[🔥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
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
Python wrapper for TA-Lib (http://ta-lib.org/).
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
A curated list of practical financial machine learning tools and applications.
⚡️ Lightning-fast backtesting engine to find your trading edge.
Portfolio analytics for quants, written in Python
AI for All: The First Systematic Vibe Coding Tutorial | From Zero to Full-Stack, Bring Your Ideas to Life | Live at: www.vibevibe.cn ;全民AI学习第一课,首个系统化 Vibe Coding 开源教程 | 零基础到全栈实战,让人人都能借助 AI 实现自己的想法与…
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
Online resources for Python Crash Course, 3rd edition, from No Starch Press.
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
kodaf68 / OpenBB
Forked from OpenBB-finance/OpenBBInvestment Research for Everyone, Everywhere.