RRepoGEO

REPOGEO REPORT · LITE

SebastienZh/StockTradebyZ

Default branch main · commit df3c7019 · scanned 5/19/2026, 2:13:15 AM

GitHub: 1,377 stars · 507 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 SebastienZh/StockTradebyZ, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise project description

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    An AI-powered semi-automated stock selection project for A-shares, integrating quantitative screening with Gemini's visual AI review of K-line charts for refined trading decisions.
  • highlicense#2
    Add a standard open-source license file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add an MIT License file (LICENSE) to the repository root.

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 SebastienZh/StockTradebyZ
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pandas
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pandas · recommended 2×
  2. Matplotlib · recommended 2×
  3. Seaborn · recommended 2×
  4. yfinance · recommended 2×
  5. Python · recommended 1×
  • CATEGORY QUERY
    How can I automate stock chart analysis using AI for trading decisions?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. Pandas
    3. NumPy
    4. Matplotlib
    5. Seaborn
    6. Scikit-learn
    7. TensorFlow
    8. Keras
    9. TA-Lib
    10. QuantConnect
    11. Quantopian
    12. Alpha Vantage
    13. Yahoo Finance API
    14. yfinance
    15. Quandl
    16. Optuna
    17. Hyperopt

    AI recommended 17 alternatives but never named SebastienZh/StockTradebyZ. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good open-source solutions for quantitative stock screening and chart review?
    you: not recommended
    AI recommended (in order):
    1. OpenBB Terminal
    2. Lean Engine
    3. Zipline
    4. Backtrader
    5. Pandas
    6. Matplotlib
    7. Seaborn
    8. yfinance
    9. alpha_vantage
    10. TradingView
    11. Pine Script

    AI recommended 11 alternatives but never named SebastienZh/StockTradebyZ. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 SebastienZh/StockTradebyZ?
    pass
    AI did not name SebastienZh/StockTradebyZ — 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?

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

    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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MARKDOWN (README)
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SebastienZh/StockTradebyZ — 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