RRepoGEO

REPOGEO REPORT · LITE

Nunchi-trade/auto-researchtrading

Default branch main · commit a502e425 · scanned 6/13/2026, 9:17:48 PM

GitHub: 718 stars · 113 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Nunchi-trade/auto-researchtrading, 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

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

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Autonomous AI agent for discovering and optimizing quantitative trading strategies on Hyperliquid perpetual futures, using Karpathy-style autoresearch.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing a standard open-source license like MIT or Apache-2.0.

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 Nunchi-trade/auto-researchtrading
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Gym
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Gym · recommended 1×
  2. Gymnasium · recommended 1×
  3. Stable Baselines3 · recommended 1×
  4. Ray · recommended 1×
  5. RLib · recommended 1×
  • CATEGORY QUERY
    How to autonomously discover and optimize quantitative trading strategies using AI agents?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Gymnasium
    3. Stable Baselines3
    4. Ray
    5. RLib
    6. QuantConnect
    7. Lean Engine
    8. Zipline
    9. TensorFlow Agents (TF-Agents)
    10. PyTorch Lightning
    11. TorchRL

    AI recommended 11 alternatives but never named Nunchi-trade/auto-researchtrading. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking AI-powered tools for researching and backtesting profitable perpetual futures trading strategies.
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. TradinGuru
    3. Composer
    4. Alpaca
    5. Kensho Scribe
    6. TrendSpider

    AI recommended 6 alternatives but never named Nunchi-trade/auto-researchtrading. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    Suggestion:

  • 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 Nunchi-trade/auto-researchtrading?
    pass
    AI named Nunchi-trade/auto-researchtrading explicitly

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

  • If a team adopts Nunchi-trade/auto-researchtrading in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Nunchi-trade/auto-researchtrading 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 Nunchi-trade/auto-researchtrading solve, and who is the primary audience?
    pass
    AI named Nunchi-trade/auto-researchtrading explicitly

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

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Nunchi-trade/auto-researchtrading — 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