RRepoGEO

REPOGEO REPORT · LITE

cbailes/awesome-deep-trading

Default branch master · commit 91eee433 · scanned 5/14/2026, 5:13:10 PM

GitHub: 1,888 stars · 339 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 cbailes/awesome-deep-trading, 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
    Clarify the README's opening sentence to explicitly state it's an 'awesome list'

    Why:

    CURRENT
    List of code, papers, and resources for AI/deep learning/machine learning/neural networks applied to algorithmic trading.
    COPY-PASTE FIX
    An awesome list of code, papers, and resources for AI/deep learning/machine learning/neural networks applied to algorithmic trading.
  • mediumhomepage#2
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/cbailes/awesome-deep-trading
  • lowtopics#3
    Add 'awesome-list' and 'awesome' to the repository topics

    Why:

    CURRENT
    cryptocurrency, deep-learning, deep-neural-networks, deep-reinforcement-learning, deep-trading, fintech, frequency-trading, machine-learning, quantitative-trading, stock-trading, trading-algorithms, trading-bot, trading-bots
    COPY-PASTE FIX
    awesome-list, awesome, cryptocurrency, deep-learning, deep-neural-networks, deep-reinforcement-learning, deep-trading, fintech, frequency-trading, machine-learning, quantitative-trading, stock-trading, trading-algorithms, trading-bot, trading-bots

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 cbailes/awesome-deep-trading
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
QuantConnect
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. QuantConnect · recommended 1×
  2. Kaggle · recommended 1×
  3. arXiv · recommended 1×
  4. SSRN · recommended 1×
  5. GitHub · recommended 1×
  • CATEGORY QUERY
    Where can I find resources and papers on deep learning for algorithmic trading strategies?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect
    2. Kaggle
    3. arXiv
    4. SSRN
    5. GitHub
    6. Towards Data Science (Medium)
    7. Google Scholar

    AI recommended 7 alternatives but never named cbailes/awesome-deep-trading. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective machine learning approaches for building automated stock and crypto trading bots?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. PyTorch
    3. Keras
    4. Stable Baselines3
    5. Ray RLlib
    6. Scikit-learn
    7. XGBoost
    8. LightGBM
    9. Hugging Face Transformers
    10. NLTK
    11. PyOD

    AI recommended 11 alternatives but never named cbailes/awesome-deep-trading. 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 cbailes/awesome-deep-trading?
    pass
    AI named cbailes/awesome-deep-trading explicitly

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

  • If a team adopts cbailes/awesome-deep-trading in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cbailes/awesome-deep-trading 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 cbailes/awesome-deep-trading solve, and who is the primary audience?
    pass
    AI did not name cbailes/awesome-deep-trading — 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?

Embed your GEO score

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cbailes/awesome-deep-trading — 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