RRepoGEO

REPOGEO REPORT · LITE

SebastienZh/StockTradebyZ

Default branch main · commit df3c7019 · scanned 6/30/2026, 9:27:50 AM

GitHub: 1,379 stars · 511 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
  • highlicense#1
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage terms.
  • highreadme#2
    Reposition the README's opening statement to highlight AI and specific domain

    Why:

    CURRENT
    # AgentTrader

一个面向 A 股的半自动选股项目：
    COPY-PASTE FIX
    # AgentTrader: AI-Powered Semi-Automated Stock Selection for A-Shares

This project combines quantitative screening with Gemini AI for K-line chart review, helping investors make informed decisions on A-share stocks.

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
Python
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Python · recommended 2×
  2. TradingView · recommended 2×
  3. pandas-dev/pandas · recommended 1×
  4. numpy/numpy · recommended 1×
  5. matplotlib/matplotlib · recommended 1×
  • CATEGORY QUERY
    How to automate stock chart analysis using AI for investment decisions?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. Pandas (pandas-dev/pandas)
    3. NumPy (numpy/numpy)
    4. Matplotlib (matplotlib/matplotlib)
    5. Seaborn (mwaskom/seaborn)
    6. Scikit-learn (scikit-learn/scikit-learn)
    7. TensorFlow (tensorflow/tensorflow)
    8. Keras (keras-team/keras)
    9. PyTorch (pytorch/pytorch)
    10. TA-Lib (TA-Lib/ta-lib)
    11. QuantConnect
    12. Lean Engine (QuantConnect/Lean)
    13. MetaTrader 5
    14. MetaTrader5 (MetaQuotes/MetaTrader5)
    15. Alpaca Markets API
    16. TradingView
    17. Pine Script
    18. Google Cloud AI Platform
    19. AWS SageMaker
    20. Azure Machine Learning

    AI recommended 20 alternatives but never named SebastienZh/StockTradebyZ. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help with quantitative stock screening and K-line chart generation?
    you: not recommended
    AI recommended (in order):
    1. TradingView
    2. MetaStock
    3. StockCharts.com
    4. FinViz
    5. Python
    6. Pandas
    7. Matplotlib
    8. mplfinance
    9. yfinance
    10. Alpha Vantage API
    11. TrendSpider
    12. TC2000

    AI recommended 12 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 named SebastienZh/StockTradebyZ explicitly

    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 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?

Embed your GEO score

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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