RRepoGEO

REPOGEO REPORT · LITE

georgezouq/awesome-ai-in-finance

Default branch main · commit 06bd2be7 · scanned 6/30/2026, 1:58:04 AM

GitHub: 6,197 stars · 725 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 georgezouq/awesome-ai-in-finance, 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 clearly state it's an "awesome list" of resources.

    Why:

    CURRENT
    There are millions of trades made in the global financial market every day. Data grows very quickly and people are hard to understand. With the power of the latest artificial intelligence research, people analyze & trade automatically and intelligently. This list contains the research, tools and code that people use to beat the market.
    COPY-PASTE FIX
    This is an awesome list of curated resources for applying AI and deep learning to financial markets. It contains research papers, tools, code, and strategies that leverage the latest artificial intelligence to analyze and trade in the global financial market.
  • mediumtopics#2
    Expand topics to include more specific terms from the failing queries and reinforce "awesome list" nature.

    Why:

    CURRENT
    analysis, awesome, awesome-list, cryptocurrency, deep-learning, financial, neural-network, quant, quantitative-finance, reinforcement-learning, stock-market, technology-analysis
    COPY-PASTE FIX
    analysis, awesome, awesome-list, curated-list, resources, ai-in-finance, deep-learning-finance, llm-finance, quantitative-finance, stock-market-prediction, automated-trading, financial-ai, machine-learning-finance, cryptocurrency, neural-network, quant, reinforcement-learning, technology-analysis
  • lowreadme#3
    Add a "What this list is NOT" section to explicitly differentiate from deployable tools.

    Why:

    COPY-PASTE FIX
    ## What this list is NOT
This repository is a curated collection of resources. It is not a deployable trading platform, an API, or a software library for direct integration into production systems. Instead, it serves as a guide to discover such tools, research, and strategies.

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 georgezouq/awesome-ai-in-finance
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. QuantConnect/Lean · recommended 1×
  2. Alpaca Markets (API) · recommended 1×
  3. quantopian/zipline · recommended 1×
  4. MetaTrader 5 (MQL5) · recommended 1×
  5. tensorflow/tensorflow · recommended 1×
  • CATEGORY QUERY
    What are the best AI and machine learning tools for stock market prediction and automated trading?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Alpaca Markets (API)
    3. Zipline (quantopian/zipline)
    4. MetaTrader 5 (MQL5)
    5. TensorFlow (tensorflow/tensorflow)
    6. PyTorch (pytorch/pytorch)
    7. pandas (pandas-dev/pandas)
    8. NumPy (numpy/numpy)
    9. scikit-learn (scikit-learn/scikit-learn)
    10. Keras (keras-team/keras)
    11. Optiver

    AI recommended 11 alternatives but never named georgezouq/awesome-ai-in-finance. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find resources on applying deep learning and LLMs to quantitative finance strategies?
    you: not recommended
    AI recommended (in order):
    1. Quantopian Lecture Series
    2. Advances in Financial Machine Learning
    3. Machine Learning for Algorithmic Trading
    4. Papers With Code
    5. Kaggle Competitions
    6. Towards Data Science
    7. arXiv.org
    8. Google Scholar

    AI recommended 8 alternatives but never named georgezouq/awesome-ai-in-finance. 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 georgezouq/awesome-ai-in-finance?
    pass
    AI named georgezouq/awesome-ai-in-finance explicitly

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

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

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

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georgezouq/awesome-ai-in-finance — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite