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AI & Agents

Vibe-Trading

Source: HKUDS/Vibe-Trading · ★ 12005 · Python

Last updated 2026-06-13 · benchmark checked 2026-10-09 · unchanged since 2026-09-15 — deterministic & reproducible

Open-source finance research agent that turns natural-language prompts into market analysis.

Vibe-Trading at a glance

Vibe-Trading is an open-source finance research agent that turns natural-language questions into backtests, factor analysis, and research reports for quants, finance researchers, and traders.

Good for

  • Researchers who want to turn a plain-language question into a backtest or factor analysis across equities, crypto, futures, forex, or options
  • Teams who want multi-perspective swarm research reports (macro, quant, risk, catalyst) with evidence and caveats
  • Traders or researchers who want to analyze their own broker journals to find implicit trading rules and run counterfactual backtests

Questions people ask

What does Vibe-Trading actually do?
It converts natural-language market questions into runnable research, including backtests, factor analysis, swarm team reports, and reproducible research artifacts like run cards.

Does Vibe-Trading execute trades for me?
No, it is built for research, simulation, and backtesting; any live trading is opt-in and read-only by default, runs only through a broker you authorize yourself, and it holds no funds.

What markets and backtesting engines does it support?
It supports backtesting across equities (including A-shares, global, Indian, Korean, and Vietnamese markets), crypto, futures, forex, cross-market composites, and options portfolios using multiple backtesting engines.

What is the Shadow Account feature?
It parses your broker journals, extracts implicit trading rules, runs counterfactual backtests against them, and renders audit reports.

How do I install Vibe-Trading?
You can install it with 'pip install vibe-trading-ai', with 'uv tool install vibe-trading-ai', or by cloning the GitHub source and running 'pip install -e .', then running 'vibe-trading init'.

Written by Legit.Show from vibetrading.wiki on 2026-10-10. It does not change the score.

72/100
7/7 frames
Top 72% of 17,496 measured · #50 of 63 in stock analysis tool
Legit Benchmark — the simple average of 7 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.
Checked 2026-10-09 · scores move as sites change

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To cite this score: legit.show/s/gh-hkuds-vibe-trading/2026-10-09. That address never changes; this page moves with every re-measure.

Legit.Show scored Vibe-Trading 72/100 on 2026-10-09, measured across all 7 frames from its public surface. legit.show/s/gh-hkuds-vibe-trading/2026-10-09

Is Vibe-Trading production-ready?

Legit.Show scores Vibe-Trading 72 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Vibe-Trading (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Accessibility; its weakest is Privacy. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

What we measured

Who it's for

Quants · Finance researchers · Traders · Investment committees · Python developers

Sources and updates

Description
Taken from vibetrading.wiki's own website on 2026-06-13.
Code
github.com/HKUDS/Vibe-Trading.
Benchmark
Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-10-09.

Put together from public information, without Vibe-Trading's involvement. If anything here is wrong, tell us and a person will check it.

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