@KKaWSB: Going the extra mile, folks — quantitative trading projects on GitHub have reached a whole new level. There are plenty of ready-to-use strategies you can practice with (here's a curated list). What Wall Street teams earn millions for is now given to you for free by these open-source projects, complete with tutorials.

Going the extra mile, folks — quantitative trading projects on GitHub have reached a whole new level. There are plenty of ready-to-use strategies you can practice with (here's a curated list). What Wall Street teams earn millions for is now given to you for free by these open-source projects, complete with tutorials. Qlib (Microsoft official) AI quantitative investment platform, from factor mining and model training to backtesting, full pipeline, 39k stars http://github.com/microsoft/qlib TradingAgents AI multi-agent quantitative trading framework, simulating an entire trading firm: fundamental analyst + sentiment analyst + technical analyst + trader each playing their role. http://github.com/TauricResearch/TradingAgents… OpenBB Open-source Bloomberg terminal, institutional-grade research data all free, usable by analysts, quants, and AI agents, nearly 70k stars http://github.com/OpenBB-finance/OpenBB… FinGPT Open-source financial large language model, sentiment analysis more accurate than fine-tuned GPT-4, runs on a single 3090 http://github.com/AI4Finance-Foundation/FinGPT… FinRL The pioneering framework for automated stock trading using reinforcement learning, from a NeurIPS paper, trains 5 types of AI traders to compete against each other http://github.com/AI4Finance-Foundation/FinRL… Qbot AI automated quantitative robot, from data fetching to live trading, fully local deployment, 16.7k stars http://github.com/UFund-Me/Qbot vnpy A framework widely used by domestic quantitative veterans, supports stocks, futures, and cryptocurrencies, from backtesting to live trading all in one http://github.com/vnpy/vnpy vectorbt The backtesting speed monster, tests thousands of strategies in seconds, seamless for pandas users http://github.com/polakowo/vectorbt… Previously, these capabilities were the moat of hedge funds. Now, it's just a matter of commanding AI with a single sentence.