RRepoGEO

REPOGEO REPORT · LITE

Kismuz/btgym

Default branch master · commit 7fb3316e · scanned 5/22/2026, 12:03:12 AM

GitHub: 1,032 stars · 258 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 Kismuz/btgym, 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 the README's opening sentence to explicitly state the financial domain

    Why:

    CURRENT
    Scalable event-driven RL-friendly backtesting library. Build on top of Backtrader with OpenAI Gym environment API.
    COPY-PASTE FIX
    BTGym is a scalable, event-driven backtesting library specifically designed for financial reinforcement learning and algorithmic trading strategies. It builds on top of Backtrader with an OpenAI Gym environment API.
  • mediumtopics#2
    Remove the irrelevant 'unreal' topic

    Why:

    CURRENT
    unreal is present in the topics list.
    COPY-PASTE FIX
    Remove 'unreal' from the topics list.
  • lowcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'Comparison with Alternatives' or 'Why BTGym?', that outlines how BTGym differentiates itself from other financial backtesting or general RL libraries (e.g., tensortrade, stable-baselines3, Backtrader itself, OpenAI Gym for non-financial tasks).

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 Kismuz/btgym
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DLR-RM/stable-baselines3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DLR-RM/stable-baselines3 · recommended 2×
  2. ray-project/ray · recommended 2×
  3. tensortrade-org/tensortrade · recommended 2×
  4. enigmampc/catalyst · recommended 2×
  5. QuantConnect/Lean · recommended 1×
  • CATEGORY QUERY
    How can I backtest deep reinforcement learning strategies for algorithmic trading efficiently?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. OpenAI Gym (openai/gym)
    3. stable-baselines3 (DLR-RM/stable-baselines3)
    4. RLlib (ray-project/ray)
    5. Backtrader (mementum/backtrader)
    6. Zipline (quantopian/zipline)
    7. TensorTrade (tensortrade-org/tensortrade)
    8. Catalyst (by Enigma) (enigmampc/catalyst)

    AI recommended 8 alternatives but never named Kismuz/btgym. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are scalable, event-driven libraries for developing reinforcement learning agents in finance?
    you: not recommended
    AI recommended (in order):
    1. Ray RLlib (ray-project/ray)
    2. OpenAI Baselines (openai/baselines)
    3. Stable Baselines3 (DLR-RM/stable-baselines3)
    4. TensorTrade (tensortrade-org/tensortrade)
    5. Catalyst (enigmampc/catalyst)

    AI recommended 5 alternatives but never named Kismuz/btgym. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 Kismuz/btgym?
    pass
    AI named Kismuz/btgym explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of Kismuz/btgym. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/Kismuz/btgym.svg)](https://repogeo.com/en/r/Kismuz/btgym)
HTML
<a href="https://repogeo.com/en/r/Kismuz/btgym"><img src="https://repogeo.com/badge/Kismuz/btgym.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Kismuz/btgym — 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
Kismuz/btgym — RepoGEO report