RRepoGEO

REPOGEO REPORT · LITE

FinStep-AI/ContestTrade

Default branch main · commit 22432f9b · scanned 5/29/2026, 12:13:09 AM

GitHub: 646 stars · 149 forks

AI VISIBILITY SCORE
22 /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
1 / 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 FinStep-AI/ContestTrade, 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
    Add a clear English positioning statement to the README

    Why:

    CURRENT
    The README's initial English content is the H1, followed by a Chinese introduction.
    COPY-PASTE FIX
    Add the following sentence immediately after the H1:
`This framework is designed for autonomous **financial market trading** and portfolio optimization, leveraging an internal contest mechanism among AI agents. It is *not* intended for competitive trading contests.`
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    multi-agent-system, ai-trading, algorithmic-trading, quantitative-finance, event-driven-trading, stock-trading, portfolio-optimization, python
  • mediumreadme#3
    Explicitly highlight the 'internal contest mechanism' as a core differentiator

    Why:

    CURRENT
    The 'Framework Overview' section describes the mechanism but doesn't explicitly frame it as a 'differentiator' in the introduction.
    COPY-PASTE FIX
    In the 'Introduction' section, add the following sentence to explicitly state the differentiator:
`ContestTrade's core differentiator is its innovative **internal contest mechanism**, which drives a dual-stage pipeline for robust decision-making, ensuring only the most effective insights lead to asset allocation.`

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 FinStep-AI/ContestTrade
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. QuantConnect/Lean · recommended 2×
  2. openai/gym · recommended 1×
  3. DLR-RM/stable-baselines3 · recommended 1×
  4. ray-project/ray · recommended 1×
  5. projectmesa/mesa · recommended 1×
  • CATEGORY QUERY
    How can I implement a multi-agent AI system for autonomous market scanning and trading?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym (openai/gym)
    2. Stable Baselines3 (DLR-RM/stable-baselines3)
    3. Ray (ray-project/ray)
    4. Mesa (projectmesa/mesa)
    5. Python's Asyncio
    6. QuantConnect (QuantConnect/Lean)
    7. Akka (akka/akka)
    8. NetLogo (ccl/NetLogo)
    9. TensorFlow (tensorflow/tensorflow)
    10. PyTorch (pytorch/pytorch)
    11. multiprocessing
    12. threading

    AI recommended 12 alternatives but never named FinStep-AI/ContestTrade. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best frameworks for building event-driven automated stock trading and portfolio optimization?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Zipline (quantopian/zipline)
    3. Backtrader (mementum/backtrader)
    4. Alpaca Trade API
    5. IBKR API (Interactive Brokers API)
    6. OpenBB Terminal (formerly Gamestonk Terminal) (OpenBB-finance/OpenBBTerminal)

    AI recommended 6 alternatives but never named FinStep-AI/ContestTrade. 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 FinStep-AI/ContestTrade?
    pass
    AI did not name FinStep-AI/ContestTrade — 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?

  • If a team adopts FinStep-AI/ContestTrade in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name FinStep-AI/ContestTrade — 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?

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

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

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  • Brand-free category queries5 vs 2 in Lite
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