RRepoGEO

REPOGEO REPORT · LITE

SJTU-DMTai/MASTER

Default branch master · commit de8f5855 · scanned 6/28/2026, 1:22:09 AM

GitHub: 501 stars · 122 forks

AI VISIBILITY SCORE
35 /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
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 SJTU-DMTai/MASTER, 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
  • hightopics#1
    Add specific topics for stock forecasting and ML

    Why:

    COPY-PASTE FIX
    stock-forecasting, transformer, financial-ml, time-series-prediction, deep-learning, machine-learning, aaai-2024, qlib
  • highabout#2
    Reposition the About description to emphasize core function

    Why:

    CURRENT
    This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price forecasting, which models the momentary and cross-time stock correlation and guide feature selection with market information.
    COPY-PASTE FIX
    MASTER: A stock transformer for accurate stock price forecasting, leveraging market guidance to model momentary and cross-time stock correlation and guide feature selection. Official code for our AAAI-2024 paper.
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://ojs.aaai.org/index.php/AAAI/article/view/27767

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 SJTU-DMTai/MASTER
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 2×
  2. TensorFlow · recommended 2×
  3. Alpha Vantage · recommended 1×
  4. Quandl (now Nasdaq Data Link) · recommended 1×
  5. Yahoo Finance API · recommended 1×
  • CATEGORY QUERY
    How to apply transformer architectures for accurate stock price forecasting with market guidance?
    you: not recommended
    AI recommended (in order):
    1. Alpha Vantage
    2. Quandl (now Nasdaq Data Link)
    3. Yahoo Finance API
    4. yfinance
    5. NewsAPI.org
    6. Twitter API
    7. SEC EDGAR Database
    8. Finnhub.io
    9. Pandas
    10. NLTK
    11. spaCy
    12. ta-lib
    13. VADER
    14. Hugging Face Transformers
    15. Flair
    16. Word2Vec
    17. GloVe
    18. BERT
    19. FinBERT
    20. PyTorch
    21. TensorFlow
    22. Keras
    23. GPT
    24. T5
    25. sklearn.model_selection.TimeSeriesSplit
    26. AdamW
    27. FastAPI
    28. Flask
    29. Docker
    30. AWS SageMaker
    31. Google Cloud AI Platform
    32. Azure Machine Learning
    33. LSTM
    34. ARIMA

    AI recommended 34 alternatives but never named SJTU-DMTai/MASTER. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking machine learning frameworks for financial time series prediction incorporating market signals.
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. scikit-learn
    4. XGBoost
    5. LightGBM
    6. Statsmodels

    AI recommended 6 alternatives but never named SJTU-DMTai/MASTER. 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 SJTU-DMTai/MASTER?
    pass
    AI named SJTU-DMTai/MASTER explicitly

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

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