HKUDS

HKUDS / Vibe-Trading

Public

"Vibe-Trading: Your Personal Trading Agent"

18
2
100% credibility
Found Apr 03, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

Vibe-Trading is an AI-powered workspace that converts everyday language into trading strategies, market research, and performance tests across stocks, crypto, and more.

How It Works

1
🔍 Discover Vibe-Trading

You hear about this friendly AI helper that turns your trading ideas into smart strategies and tests them on real market history.

2
📥 Grab it quickly

With one easy download, you add it to your computer, no hassle involved.

3
🔗 Link your AI buddy

You connect a smart thinking service so it can understand and respond to your ideas.

4
💭 Chat your trading thoughts

You simply describe what you want, like 'test a momentum idea on Bitcoin,' and watch it spring into action with research teams and quick tests.

5
📊 See the magic unfold

Live updates show charts, backtest results, and expert insights right before your eyes.

🎉 Unlock trading smarts

You now have proven strategies, risk checks, and market wisdom ready to guide your next moves confidently.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 18 to 18 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is Vibe-Trading?

Vibe-Trading is a Python-based personal trading agent that converts natural language prompts into executable strategies, backtests, and market research across A-shares, HK/US stocks, and crypto. Fire up the CLI with `vibe-trading` for interactive sessions, spin a web UI via `vibe-trading serve`, or plug it into Claude Desktop with `vibe-trading-mcp`—all from a one-line PyPI install. It pulls free data from yfinance and OKX, runs vectorized backtests on any interval, and spits out equity curves, metrics, and trade logs.

Why is it gaining traction?

Multi-agent swarms stand out: pick from 29 presets like investment committees or quant desks to debate BTC outlooks or optimize portfolios automatically. Backtests handle mixed markets with optimizers like risk parity, no live trading needed. Devs dig the zero-setup Docker deploy and MCP tools for chaining into larger AI workflows.

Who should use this?

Quant devs prototyping vibe trading strategies in Python, crypto traders backtesting perps on OKX data, or HK/US stock analysts needing quick factor IC/IR checks. Ideal for solo researchers who want agent-driven vibe trading academy insights without manual coding.

Verdict

Promising vibe trading ai starter at 18 stars and 1.0% credibility—docs shine with demos and CLI refs, but low adoption means watch for edge cases. Install and backtest a prompt today if agent-based trading fits your flow.

(187 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.