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Vibe-Trading (github.com/HKUDS/Vibe-Tradin…) has been trending on GitHub for a…

2026-07-04 · 15:01 UTC ·@huang_chao4969 ·1 min read

Brief

Vibe-Trading is an end-to-end AI-assisted trading research framework that integrates LLM agents, cross-market data and backtesting, broker trade-log diagnostics, and multi-agent analyst teams. Posted by @huang_chao4969 on 2026-07-04, the GitHub repo (github.com/HKUDS/Vibe-Tradin…) has trended for a week and is approaching 18,000 stars.

Why it matters

Vibe-Trading (github.com/HKUDS/Vibe-Tradin…) has been trending on GitHub for a week as of 2026-07-04 and the repo's stars are approaching 18,000, per author @huang_chao4969.

Key details

  • The project claims to be an end-to-end AI-assisted research framework integrating LLM agents, financial market data analysis, strategy backtesting, and personal trade review (one-sentence description in the post).
  • Core features: natural-language market research with automatic data/tool retrieval; cross-market backtesting covering A-shares, HK equities, US equities, and crypto with automatic strategy code generation and backtest metrics; broker trade-log diagnostics to identify behavioral biases and produce auditable comparative reports; and quantitative multi-agent analyst teams.
Source evidence

Vibe-Trading has been trending on Github for a week straight, with Github stars now approaching 18k🌟!

We'd love for anyone interested in AI-assisted trading to check it out — hope it proves useful for your day-to-day trading and research!

In one sentence: Vibe-Trading integrates LLM agents, financial market data analysis, strategy backtesting, and personal trade review into a single end-to-end research framework.

GitHub: github.com/HKUDS/Vibe-Tradin…

Core features include:

  • 🔍 Natural-language market research — just ask a question and the system automatically pulls data and tools to generate a complete market research report

  • 📊 Cross-market strategy backtesting — covering A-shares, HK equities, US equities, crypto, and more, with automatic strategy code generation and backtest metrics

  • 🩺 Trading behavior diagnostics — parses broker trade logs, identifies behavioral biases, and produces auditable comparative analysis reports

  • 🤖 Quantitative multi-agent teams — build collaborative AI analyst teams spanning investment, quant, crypto, macro, and risk management workflows

vibetrading #HKUDS