RRepoGEO

REPOGEO REPORT · LITE

AminHP/gym-anytrading

Default branch master · commit 1498ea7c · scanned 5/10/2026, 9:46:59 PM

GitHub: 2,377 stars · 482 forks

AI VISIBILITY SCORE
60 /100
Needs work
Category recall
1 / 2
Avg rank #4.0 when recommended
Rule findings
1 pass · 1 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 AminHP/gym-anytrading, 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
    Emphasize stock market simulation and deep Q-learning in README intro

    Why:

    CURRENT
    Trading algorithms are mostly implemented in two markets: FOREX and Stock. AnyTrading aims to provide some Gym environments to improve and facilitate the procedure of developing and testing RL-based algorithms in this area. This purpose is obtained by implementing three Gym environments: **TradingEnv**, **ForexEnv**, and **StocksEnv**.
    COPY-PASTE FIX
    AnyTrading provides Gym environments for simulating trading in FOREX and Stock markets, specifically designed to facilitate the development and testing of reinforcement learning algorithms, including deep Q-learning agents. This is achieved through three core environments: **TradingEnv**, **ForexEnv**, and **StocksEnv**.
  • mediumabout#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/AminHP/gym-anytrading
  • mediumtopics#3
    Add 'financial-simulation' to topics

    Why:

    CURRENT
    dqn, forex, gym-environments, openai-gym, q-learning, reinforcement-learning, stocks, trading, trading-algorithms, trading-environments
    COPY-PASTE FIX
    dqn, forex, gym-environments, openai-gym, q-learning, reinforcement-learning, stocks, trading, trading-algorithms, trading-environments, financial-simulation

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
1 / 2
50% of queries surface AminHP/gym-anytrading
Avg rank
#4.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
gym-trading-env
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. gym-trading-env · recommended 1×
  2. FinRL · recommended 1×
  3. AminHP/Stock-Trading-Environment · recommended 1×
  4. OpenAI Gym's classic control environments · recommended 1×
  5. QuantConnect/Lean · recommended 1×
  • CATEGORY QUERY
    What are good OpenAI Gym environments for developing and testing reinforcement learning trading algorithms?
    you: #4
    AI recommended (in order):
    1. gym-trading-env
    2. FinRL
    3. Stock-Trading-Environment (AminHP/Stock-Trading-Environment)
    4. gym-anytrading ← you
    5. OpenAI Gym's classic control environments
    Show full AI answer
  • CATEGORY QUERY
    How can I simulate stock market trading for training deep Q-learning agents?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Backtrader (mementum/backtrader)
    3. OpenAI Gym (openai/gym)
    4. Zipline (quantopian/zipline)
    5. TensorFlow (tensorflow/tensorflow)
    6. PyTorch (pytorch/pytorch)
    7. Stable Baselines3 (DLR-RM/stable-baselines3)
    8. Yahoo Finance
    9. Quandl (Nasdaq Data Link)
    10. Alpha Vantage

    AI recommended 10 alternatives but never named AminHP/gym-anytrading. 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 AminHP/gym-anytrading?
    pass
    AI named AminHP/gym-anytrading explicitly

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

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

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

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