Kronos: A Foundation Model for the Language of Financial Markets
"Vibe-Trading: Your Personal Trading Agent"
A股全栈数据工具包:行情K线·当日逐笔·研报·信号·资金面·新闻·财务·公告·打板·ETF期权·舆情·宏观利率·期货大宗(含大商所日K)·事件驱动·可转债 | 15层·87端点·34数据源·除iwencai外免Key | A-share data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources
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.
Umami is a privacy-first web and product analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place. No cookies, no surveillance, self-hosted or in the cloud.
We write your reusable computer vision tools. 💜
Python toolkit for quantitative finance
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
FinRL®: Financial Reinforcement Learning. 🔥
Download market data from Yahoo! Finance's API
GVS5H: Five Qwen3.8-27B Models Match Claude Fable 5 on LiveCodeBench Hard | Fable 5 Level Coding for a Fifth the Price - or on a Single GPU
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Python training for business analysts and traders
[🔥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
The Julia Programming Language
Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.
Real time UWB localisation for small spinning robots on a tabletop play field, from ranging hardware to live position display. Includes calibration for each anchor, Kalman tracking, a browser dashboard and offline replay, together with the experimental data.
R's data.table package extends data.frame: