RRepoGEO

REPOGEO REPORT · LITE

KylinMountain/TradingAgents-AShare

Default branch main · commit ccbd6ca8 · scanned 6/6/2026, 1:52:00 AM

GitHub: 532 stars · 168 forks

AI VISIBILITY SCORE
27 /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
1 / 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 KylinMountain/TradingAgents-AShare, 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 paragraph to emphasize it's a complete system

    Why:

    CURRENT
    本项目是基于多智能体协作的 A 股深度分析系统，模拟顶级投研机构的决策闭环，通过 14 名专业 Agent 的多空辩论与风控博弈，为投资者提供结构化的交易建议。
    COPY-PASTE FIX
    TradingAgents-AShare 是一个开箱即用的 A 股智能投研系统，它模拟顶级投研机构的决策闭环，通过 14 名专业 AI Agent 的多空辩论与风控博弈，为投资者提供结构化的交易建议。本系统基于 TradingAgents 架构，旨在提供完整的智能投研解决方案，而非通用框架。
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## 许可证
本项目根据仓库根目录下的 `LICENSE` 文件进行授权。请查阅该文件以了解具体的使用条款和条件。
  • mediumreadme#3
    Add a 'Target Audience' section to the README

    Why:

    COPY-PASTE FIX
    ## 目标用户
TradingAgents-AShare 主要面向希望利用 AI 提升 A 股投资研究效率的个人投资者、量化交易员及小型投资机构。如果您寻求一个能够模拟专业投研流程、提供结构化交易建议的智能工具，本系统将是您的理想选择。

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 KylinMountain/TradingAgents-AShare
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. AutoGen · recommended 1×
  3. CrewAI · recommended 1×
  4. Beautiful Soup · recommended 1×
  5. Scrapy · recommended 1×
  • CATEGORY QUERY
    How can I leverage multiple AI agents for collaborative stock market research and investment strategy generation?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Beautiful Soup
    5. Scrapy
    6. Alpha Vantage API
    7. Finnhub API
    8. IEX Cloud API
    9. Pandas
    10. OpenAI GPT-4
    11. Anthropic Claude 3
    12. Hugging Face Transformers
    13. Prophet
    14. scikit-learn
    15. Pyfolio
    16. Backtrader
    17. Gekko
    18. SciPy Optimize
    19. NumPy
    20. SciPy

    AI recommended 20 alternatives but never named KylinMountain/TradingAgents-AShare. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI platform for automated stock analysis, portfolio tracking, and structured investment report generation.
    you: not recommended
    AI recommended (in order):
    1. BlackRock Aladdin
    2. FactSet
    3. Bloomberg Terminal
    4. S&P Global Market Intelligence
    5. Koyfin
    6. Quilvest Wealth Management Platform

    AI recommended 6 alternatives but never named KylinMountain/TradingAgents-AShare. 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 KylinMountain/TradingAgents-AShare?
    pass
    AI did not name KylinMountain/TradingAgents-AShare — 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 KylinMountain/TradingAgents-AShare in production, what risks or prerequisites should they evaluate first?
    pass
    AI named KylinMountain/TradingAgents-AShare 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 KylinMountain/TradingAgents-AShare solve, and who is the primary audience?
    pass
    AI did not name KylinMountain/TradingAgents-AShare — 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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KylinMountain/TradingAgents-AShare — 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