RRepoGEO

REPOGEO REPORT · LITE

sadighian/crypto-rl

Default branch arctic-streaming-ticks-full · commit 078081e5 · scanned 6/8/2026, 1:23:17 PM

GitHub: 954 stars · 236 forks

AI VISIBILITY SCORE
28 /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
2 / 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 sadighian/crypto-rl, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highreadme#2
    Reposition the core differentiator in the README's opening

    Why:

    CURRENT
    # Deep Reinforcement Learning Toolkit for Cryptocurrencies

**Table of contents:**
    COPY-PASTE FIX
    # Deep Reinforcement Learning Toolkit for Cryptocurrencies

This toolkit provides an OpenAI Gym-compatible environment specifically tailored for cryptocurrency trading simulation, enabling researchers to record, replay, and train deep reinforcement learning agents on limit order book data.

**Table of contents:**
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add a relevant URL to the repository's 'Homepage' field in the 'About' section (e.g., a project website, documentation, or a relevant research paper link).

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 sadighian/crypto-rl
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
QuantConnect (Lean Engine)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. QuantConnect (Lean Engine) · recommended 1×
  2. Dydx · recommended 1×
  3. ClickHouse · recommended 1×
  4. InfluxDB · recommended 1×
  5. Apache Kafka · recommended 1×
  • CATEGORY QUERY
    How can I record and replay cryptocurrency limit order book data for deep reinforcement learning?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine)
    2. Dydx
    3. ClickHouse
    4. InfluxDB
    5. Apache Kafka
    6. Zipline
    7. Pandas
    8. NumPy

    AI recommended 8 alternatives but never named sadighian/crypto-rl. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Toolkit for developing and training deep reinforcement learning agents for cryptocurrency trading strategies?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Stable Baselines3
    3. Ray RLlib
    4. TensorFlow Agents
    5. FinRL
    6. Keras-RL

    AI recommended 6 alternatives but never named sadighian/crypto-rl. 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 sadighian/crypto-rl?
    pass
    AI named sadighian/crypto-rl explicitly

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

  • If a team adopts sadighian/crypto-rl in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sadighian/crypto-rl 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 sadighian/crypto-rl solve, and who is the primary audience?
    pass
    AI did not name sadighian/crypto-rl — 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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sadighian/crypto-rl — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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