RRepoGEO

REPOGEO REPORT · LITE

The-Swarm-Corporation/AutoHedge

Default branch main · commit c549c795 · scanned 5/10/2026, 11:22:48 PM

GitHub: 2,567 stars · 434 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 The-Swarm-Corporation/AutoHedge, 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's opening sentence to emphasize 'system' and 'framework'

    Why:

    CURRENT
    AutoHedge is an enterprise-grade autonomous agent hedge fund that trades on your behalf.
    COPY-PASTE FIX
    AutoHedge is an enterprise-grade **autonomous AI trading system and agent framework** that operates as a hedge fund, trading on your behalf.
  • hightopics#2
    Refine repository topics to include specific keywords for autonomous trading systems and AI agents

    Why:

    CURRENT
    ai, blackrock, finance, goldmansachs, hedgefund, jpmorgan, ml, quant, quantitative-finance, quantitative-trading, trading
    COPY-PASTE FIX
    ai, blackrock, finance, goldmansachs, hedgefund, jpmorgan, ml, quant, quantitative-finance, quantitative-trading, trading, autonomous-trading, ai-agents, trading-bot, algorithmic-trading, crypto-trading, swarm-intelligence
  • mediumcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## Comparison with Alternatives' or '## Why AutoHedge?', explaining how AutoHedge differs from general trading bots, manual hedging, or other quantitative finance frameworks (e.g., QuantConnect, Zipline) by focusing on its autonomous, AI-driven, swarm intelligence approach for end-to-end hedge fund operations, especially for crypto.

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 The-Swarm-Corporation/AutoHedge
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pandas
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Pandas · recommended 1×
  2. NumPy · recommended 1×
  3. Scikit-learn · recommended 1×
  4. TensorFlow · recommended 1×
  5. PyTorch · recommended 1×
  • CATEGORY QUERY
    How can I build an autonomous AI-driven trading system for market analysis and execution?
    you: not recommended
    AI recommended (in order):
    1. Pandas
    2. NumPy
    3. Scikit-learn
    4. TensorFlow
    5. PyTorch
    6. QuantConnect
    7. Lean Engine
    8. MetaTrader 5
    9. MQL5
    10. Alpaca API
    11. Interactive Brokers API
    12. IBKR API
    13. Apache Kafka
    14. RabbitMQ
    15. Docker
    16. Kubernetes

    AI recommended 16 alternatives but never named The-Swarm-Corporation/AutoHedge. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for AI agent frameworks to automate quantitative trading strategies and risk management.
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. OpenBB Terminal (OpenBB-finance/OpenBBTerminal)
    3. Zipline (quantopian/zipline)
    4. Finetune.ai (finetune-ai/finetune)
    5. Ray (ray-project/ray)
    6. TensorFlow (tensorflow/tensorflow)
    7. PyTorch (pytorch/pytorch)

    AI recommended 7 alternatives but never named The-Swarm-Corporation/AutoHedge. 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 The-Swarm-Corporation/AutoHedge?
    pass
    AI named The-Swarm-Corporation/AutoHedge explicitly

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

  • If a team adopts The-Swarm-Corporation/AutoHedge in production, what risks or prerequisites should they evaluate first?
    pass
    AI named The-Swarm-Corporation/AutoHedge 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 The-Swarm-Corporation/AutoHedge solve, and who is the primary audience?
    pass
    AI named The-Swarm-Corporation/AutoHedge explicitly

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

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The-Swarm-Corporation/AutoHedge — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite