RRepoGEO

REPOGEO REPORT · LITE

HKUDS/Vibe-Trading

Default branch main · commit 6a7b3f12 · scanned 5/8/2026, 4:06:34 AM

GitHub: 5,613 stars · 1,143 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface HKUDS/Vibe-Trading, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 and subtitle to emphasize LLM and multi-modal capabilities

    Why:

    CURRENT
    <h1 align="center">Vibe-Trading: Your Personal Trading Agent</h1>
<p align="center">
  <b>One Command to Empower Your Agent with Comprehensive Trading Capabilities</b>
</p>
    COPY-PASTE FIX
    <h1 align="center">Vibe-Trading: Your LLM-Powered Personal Trading Agent</h1>
<p align="center">
  <b>One Command to Empower Your AI Agent with Comprehensive, Multi-Modal Trading Capabilities</b>
</p>
  • mediumabout#2
    Update the repository description to highlight LLM and multi-modal features

    Why:

    CURRENT
    Vibe-Trading: Your Personal Trading Agent
    COPY-PASTE FIX
    Vibe-Trading: Your LLM-powered AI agent for comprehensive, multi-modal algorithmic trading strategies.
  • mediumreadme#3
    Add a 'Key Differentiators' section early in the README

    Why:

    COPY-PASTE FIX
    Add a new section, ideally after the initial setup/news, titled '✨ Key Differentiators' or '🚀 Why Vibe-Trading?', including points such as:
- Leverages fine-tuned Large Language Models (LLMs) for advanced financial sentiment analysis.
- Integrates multi-modal data (text and numerical) to enhance trading strategies beyond traditional methods.
- Designed as a multi-agent system for flexible and comprehensive trading capabilities.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface HKUDS/Vibe-Trading
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
QuantConnect/Lean
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. QuantConnect/Lean · recommended 1×
  2. quantopian/zipline · recommended 1×
  3. mementum/backtrader · recommended 1×
  4. Alpaca API · recommended 1×
  5. tensorflow/tensorflow · recommended 1×
  • CATEGORY QUERY
    How can I build an AI agent for automated quantitative trading strategies?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Zipline (quantopian/zipline)
    3. Backtrader (mementum/backtrader)
    4. Alpaca API
    5. TensorFlow (tensorflow/tensorflow)
    6. PyTorch (pytorch/pytorch)
    7. Pandas (pandas-dev/pandas)
    8. Scikit-learn (scikit-learn/scikit-learn)

    AI recommended 8 alternatives but never named HKUDS/Vibe-Trading. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python framework to develop and backtest multi-agent algorithmic trading systems.
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. OpenBB Terminal
    3. Lean Engine
    4. Backtrader
    5. Pyfolio
    6. Gym

    AI recommended 6 alternatives but never named HKUDS/Vibe-Trading. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of HKUDS/Vibe-Trading?
    pass
    AI named HKUDS/Vibe-Trading explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts HKUDS/Vibe-Trading in production, what risks or prerequisites should they evaluate first?
    pass
    AI named HKUDS/Vibe-Trading explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo HKUDS/Vibe-Trading solve, and who is the primary audience?
    pass
    AI named HKUDS/Vibe-Trading explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)
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HKUDS/Vibe-Trading — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite