Vibe-Trading's growth (10k Github stars in 64 days) showcases the potential of multi-agent systems in finance - now a full natural language research engine featuring 7 backtest engines, cross-market data, and 29 multi-agent research swarms.
Fascinating to see agent-native trading paradigms gaining real traction. Big congrats to Haozhe @Warren_Wu1 !
Repo👉: github.com/HKUDS/Vibe-Tradin…
HAOZHE WU (@Warren_Wu1)
🚀 Vibe-Trading just crossed 10k stars on GitHub ⭐ — only 64 days since our first commit, and #8 on GitHub Trending (Python, today)! That's wild 🤯
What we're really after is simple: reshape how anyone interacts with the markets — in plain language. No code, no Bloomberg terminal. You just ask, and it runs the research, the backtests, the analysis for you. We open-sourced it two months ago with no idea it'd take off like this. The open source community is absolutely insane - in the best way possible 💪
These 64 days, by the numbers:
- 10k+ stars ⭐ and 2k+ forks 🔥, #8 on GitHub Trending (Python, today)
- A top-2 fastest-growing AI-for-finance project for 6 weeks straight — 1000+ new stars every week, and #1 by growth rate
- 96 PRs from 34 amazing contributors — 69 already merged!
- 6 releases shipped, v0.1.4 → v0.1.9
- Grown from a single A-share backtester into a full natural-language research engine: 7 backtest engines, cross-market data, and 29 multi-agent research swarms
Huge thanks to everyone who starred, forked, opened an issue, or sent a PR. This is just the beginning 🚀
GitHub 👉 github.com/HKUDS/Vibe-Tradin…
— https://nitter.net/Warren_Wu1/status/2062377751810887684#m