RRepoGEO

REPOGEO REPORT · LITE

zhutoutoutousan/worldquant-miner

Default branch master · commit 6a0c9433 · scanned 6/5/2026, 11:47:17 AM

GitHub: 661 stars · 177 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 zhutoutoutousan/worldquant-miner, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    worldquant, quantitative-finance, alpha-generation, trading-strategies, llm, ollama, docker, gpu-acceleration, algorithmic-trading
  • highreadme#2
    Strengthen README's opening sentence for clearer positioning

    Why:

    CURRENT
    This project is a collection of scripts that generate and submit alphas to the WorldQuant platform.
    COPY-PASTE FIX
    This project provides an automated, GPU-accelerated system to generate, mine, and submit promising alpha signals to the WorldQuant platform, leveraging local LLMs like Ollama for quantitative trading strategies.
  • mediumreadme#3
    Add a prominent link to the project homepage in the README intro

    Why:

    COPY-PASTE FIX
    Learn more about the project and its capabilities at our official homepage: [worldquant-miner.world](https://www.worldquant-miner.world)

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 zhutoutoutousan/worldquant-miner
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. Polars · recommended 1×
  3. Dask · recommended 1×
  4. Ollama · recommended 1×
  5. LM Studio · recommended 1×
  • CATEGORY QUERY
    How to automate quantitative alpha signal generation using local LLMs for trading strategies?
    you: not recommended
    AI recommended (in order):
    1. Pandas
    2. Polars
    3. Dask
    4. Ollama
    5. LM Studio
    6. Hugging Face Transformers Library
    7. llama.cpp
    8. LangChain
    9. LlamaIndex
    10. NumPy
    11. Scikit-learn
    12. Backtrader
    13. Zipline
    14. PyAlgoTrade

    AI recommended 14 alternatives but never named zhutoutoutousan/worldquant-miner. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a fast, GPU-accelerated system to develop and monitor financial alpha strategies locally with Docker.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA RAPIDS
    2. cuDF
    3. cuML
    4. Dask-cuDF
    5. PyTorch
    6. TensorFlow
    7. JAX
    8. Julia
    9. Numba

    AI recommended 9 alternatives but never named zhutoutoutousan/worldquant-miner. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 zhutoutoutousan/worldquant-miner?
    pass
    AI named zhutoutoutousan/worldquant-miner explicitly

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

  • If a team adopts zhutoutoutousan/worldquant-miner in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zhutoutoutousan/worldquant-miner 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 zhutoutoutousan/worldquant-miner solve, and who is the primary audience?
    pass
    AI did not name zhutoutoutousan/worldquant-miner — likely talking about a different project

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

Embed your GEO score

Drop this badge into the README of zhutoutoutousan/worldquant-miner. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/zhutoutoutousan/worldquant-miner.svg)](https://repogeo.com/en/r/zhutoutoutousan/worldquant-miner)
HTML
<a href="https://repogeo.com/en/r/zhutoutoutousan/worldquant-miner"><img src="https://repogeo.com/badge/zhutoutoutousan/worldquant-miner.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

zhutoutoutousan/worldquant-miner — 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