RRepoGEO

REPOGEO REPORT · LITE

AminHP/gym-anytrading

Default branch master · commit 1498ea7c · scanned 6/20/2026, 11:11:58 PM

GitHub: 2,380 stars · 483 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /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
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
    Reposition README opening to highlight "Approved by OpenAI Gym" and core value

    Why:

    CURRENT
    AnyTrading is a collection of OpenAI Gym environments for reinforcement learning-based trading algorithms.
    COPY-PASTE FIX
    AnyTrading is the most simple, flexible, and comprehensive OpenAI Gym trading environment, officially approved by OpenAI Gym. It provides a collection of environments for reinforcement learning-based trading algorithms, specifically designed to facilitate the development and testing of RL agents in FOREX and Stock markets.
  • mediumhomepage#2
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/AminHP/gym-anytrading
  • lowreadme#3
    Add a "Key Features" or "Why AnyTrading?" section

    Why:

    COPY-PASTE FIX
    ## Key Features
- **Simplicity & Flexibility:** Easily adapt to any time-series data for training.
- **Comprehensive Environments:** Includes `TradingEnv`, `ForexEnv`, and `StocksEnv`.
- **OpenAI Gym Standard:** Fully compliant and officially approved by OpenAI Gym.
- **Data Agnostic:** Works with various financial data sources.

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 AminHP/gym-anytrading
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. QuantConnect/Lean · recommended 1×
  2. openai/gym · recommended 1×
  3. ranaroussi/yfinance · recommended 1×
  4. Alpha Vantage · recommended 1×
  5. mementum/backtrader · recommended 1×
  • CATEGORY QUERY
    How can I simulate stock market trading for training reinforcement learning agents?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect Lean Engine (QuantConnect/Lean)
    2. OpenAI Gym (openai/gym)
    3. yfinance (ranaroussi/yfinance)
    4. Alpha Vantage
    5. Backtrader (mementum/backtrader)
    6. Zipline (quantopian/zipline)
    7. FinRL (AI4Finance-LLC/FinRL)
    8. TradingView

    AI recommended 8 alternatives but never named AminHP/gym-anytrading. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a flexible OpenAI Gym environment to develop and test trading algorithms.
    you: not recommended
    AI recommended (in order):
    1. FinRL
    2. OpenGym-Finance
    3. QuantConnect (Lean Engine)
    4. Gym-Trading-Env

    AI recommended 4 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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AminHP/gym-anytrading — 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