RRepoGEO

REPOGEO REPORT · LITE

notadamking/Stock-Trading-Environment

Default branch master · commit e72167bb · scanned 6/11/2026, 4:24:40 AM

GitHub: 853 stars · 293 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 notadamking/Stock-Trading-Environment, 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
    openai-gym, reinforcement-learning, algorithmic-trading, stock-trading, financial-simulation, machine-learning, python, trading-environment, multi-asset-trading
  • highreadme#2
    Reposition README opening to highlight multi-asset capability

    Why:

    CURRENT
    A custom OpenAI gym environment for simulating stock trades on historical price data.
    COPY-PASTE FIX
    A custom OpenAI Gym environment designed for simulating multi-asset stock trades on historical price data, ideal for developing and testing reinforcement learning agents and algorithmic trading strategies. It supports configurable transaction costs and slippage.
  • mediumhomepage#3
    Add the Medium article as the repository homepage

    Why:

    COPY-PASTE FIX
    https://medium.com/@adamjking3/creating-a-custom-openai-gym-environment-for-stock-trading-be532be3910e

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 notadamking/Stock-Trading-Environment
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. quantopian/zipline · recommended 2×
  3. mementum/backtrader · recommended 2×
  4. ray-project/ray · recommended 2×
  5. MetaTrader 5 (Strategy Tester) · recommended 1×
  • CATEGORY QUERY
    What are good tools for simulating stock trading strategies on historical market data?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Zipline (quantopian/zipline)
    3. Backtrader (mementum/backtrader)
    4. MetaTrader 5 (Strategy Tester)
    5. Amibroker
    6. TradingView (Pine Script)
    7. PyAlgoTrade (gbeced/pyalgotrade)

    AI recommended 7 alternatives but never named notadamking/Stock-Trading-Environment. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I create a custom financial simulation environment for machine learning agents?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym (openai/gym)
    2. pandas (pandas-dev/pandas)
    3. QuantConnect (Lean Engine) (QuantConnect/Lean)
    4. Backtrader (mementum/backtrader)
    5. Zipline (quantopian/zipline)
    6. FinRL (AI4Finance-Foundation/FinRL)
    7. Ray (ray-project/ray)
    8. Stable Baselines3 (DLR-RM/stable-baselines3)
    9. Ray RLlib (ray-project/ray)
    10. TensorTrade (tensortrade-org/tensortrade)

    AI recommended 10 alternatives but never named notadamking/Stock-Trading-Environment. 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 notadamking/Stock-Trading-Environment?
    pass
    AI did not name notadamking/Stock-Trading-Environment — 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 notadamking/Stock-Trading-Environment in production, what risks or prerequisites should they evaluate first?
    pass
    AI named notadamking/Stock-Trading-Environment 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 notadamking/Stock-Trading-Environment solve, and who is the primary audience?
    pass
    AI did not name notadamking/Stock-Trading-Environment — 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?

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  • Brand-free category queries5 vs 2 in Lite
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