RRepoGEO

REPOGEO REPORT · LITE

Yvictor/TradingGym

Default branch master · commit 08bb534f · scanned 6/23/2026, 1:48:05 PM

GitHub: 1,888 stars · 371 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 Yvictor/TradingGym, 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 emphasize OpenAI Gym compatibility for RL

    Why:

    CURRENT
    TradingGym is a toolkit for training and backtesting the reinforcement learning algorithms. This was inspired by OpenAI Gym and imitated the framework form.
    COPY-PASTE FIX
    TradingGym is an OpenAI Gym-compatible toolkit designed for training and backtesting reinforcement learning algorithms in financial trading environments.
  • mediumabout#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/Yvictor/TradingGym
  • mediumreadme#3
    Add a 'Comparison' section to the README to differentiate from general backtesting tools

    Why:

    COPY-PASTE FIX
    ## Comparison to other libraries

Unlike general-purpose backtesting frameworks such as Backtrader or Zipline, TradingGym is specifically designed as an OpenAI Gym-compatible environment for training and evaluating reinforcement learning agents in financial markets. While it provides robust backtesting capabilities, its core strength lies in facilitating AI-driven strategy development rather than traditional rule-based system testing.

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 Yvictor/TradingGym
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Farama-Foundation/Gymnasium
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Farama-Foundation/Gymnasium · recommended 1×
  2. Backtrader · recommended 1×
  3. Zipline · recommended 1×
  4. PyAlgoTrade · recommended 1×
  5. QuantConnect Lean · recommended 1×
  • CATEGORY QUERY
    How to simulate trading environments for training reinforcement learning agents in Python?
    you: not recommended
    AI recommended (in order):
    1. Gymnasium (Farama-Foundation/Gymnasium)

    AI recommended 1 alternative but never named Yvictor/TradingGym. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good Python libraries for backtesting trading strategies with historical data?
    you: not recommended
    AI recommended (in order):
    1. Backtrader
    2. Zipline
    3. PyAlgoTrade
    4. QuantConnect Lean
    5. Catalyst
    6. VectorBT

    AI recommended 6 alternatives but never named Yvictor/TradingGym. 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 Yvictor/TradingGym?
    pass
    AI named Yvictor/TradingGym explicitly

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

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

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

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Yvictor/TradingGym — 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