RRepoGEO

REPOGEO REPORT · LITE

TNT-Likely/PanWatch

Default branch main · commit 69da1bb4 · scanned 6/22/2026, 10:27:38 PM

GitHub: 584 stars · 134 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 TNT-Likely/PanWatch, 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 README H1 to clarify domain

    Why:

    CURRENT
    # 盯盘侠 PanWatch

**自托管 AI 盯盘助手 · 集成 TradingAgents 多 Agent 投资决策** — A 股 / 港股 / 美股实时监控、持仓管理、智能分析、全渠道推送
    COPY-PASTE FIX
    # 盯盘侠 PanWatch: 自托管 AI 股票盯盘助手

**PanWatch** 是一款自托管 AI 股票盯盘助手，集成 TradingAgents 多 Agent 投资决策，提供 A 股 / 港股 / 美股实时监控、持仓管理、智能分析及全渠道推送。
  • mediumabout#2
    Refine the repository description for clarity

    Why:

    CURRENT
    盯盘侠 PanWatch · 自托管 AI 盯盘助手，集成 TradingAgents 多 Agent 投资决策 | A股/港股/美股实时监控、持仓管理、智能分析、全渠道推送
    COPY-PASTE FIX
    PanWatch (盯盘侠) is a self-hosted AI stock market monitoring and portfolio management assistant. It integrates TradingAgents for multi-agent investment decisions, offering real-time A-share/HK-share/US-share monitoring, intelligent analysis, and multi-channel alerts.
  • lowhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/TNT-Likely/PanWatch

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 TNT-Likely/PanWatch
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. streamlit/streamlit · recommended 1×
  3. plotly/dash · recommended 1×
  4. OpenBB-finance/OpenBBTerminal · recommended 1×
  5. jupyterhub/jupyterhub · recommended 1×
  • CATEGORY QUERY
    How can I self-host an AI assistant for real-time stock market analysis and portfolio management?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Streamlit (streamlit/streamlit)
    3. Dash (plotly/dash)
    4. OpenBB Terminal (OpenBB-finance/OpenBBTerminal)
    5. JupyterHub (jupyterhub/jupyterhub)
    6. yfinance (ranaroussi/yfinance)
    7. alpaca-trade-api (alpacahq/alpaca-trade-api-python)
    8. pandas (pandas-dev/pandas)
    9. scikit-learn (scikit-learn/scikit-learn)
    10. PyTorch (pytorch/pytorch)
    11. TensorFlow (tensorflow/tensorflow)
    12. matplotlib (matplotlib/matplotlib)
    13. seaborn (mwaskom/seaborn)
    14. plotly (plotly/plotly.py)
    15. MetaTrader 5 (MT5)
    16. MetaTrader5 Python package
    17. Apache Kafka (apache/kafka)
    18. Flask (pallets/flask)
    19. FastAPI (tiangolo/fastapi)
    20. React (facebook/react)
    21. Vue.js (vuejs/core)

    AI recommended 21 alternatives but never named TNT-Likely/PanWatch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools provide AI-driven investment decision support with multi-agent analysis and alerts?
    you: not recommended
    AI recommended (in order):
    1. FinRL
    2. OpenBB Terminal
    3. Lean Engine
    4. Ray
    5. Gymnasium
    6. Apache Flink
    7. Apache Kafka
    8. TensorFlow
    9. PyTorch
    10. scikit-learn

    AI recommended 10 alternatives but never named TNT-Likely/PanWatch. 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 TNT-Likely/PanWatch?
    pass
    AI named TNT-Likely/PanWatch explicitly

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

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

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

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TNT-Likely/PanWatch — 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