RRepoGEO

REPOGEO REPORT · LITE

tradecatlabs/tradecat-public

Default branch develop · commit a9194d4d · scanned 6/5/2026, 3:52:01 PM

GitHub: 954 stars · 243 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 tradecatlabs/tradecat-public, 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 clearly state its purpose as an AI Agent system

    Why:

    CURRENT
    TradeCat Public 是一个面向 Agent/Hermes 的自主纸面交易运行时。公开在线表格只作为信号源；Agent/Hermes 根据仓库内自包含的 Binance skill/API 快照和公开只读工具补齐行情上下文与交易 thesis；TradeCat 负责 schema 审计、信号对齐、paper/watch 执行、账本、风控拒绝、报告和可复现审计。
    COPY-PASTE FIX
    TradeCat Public 是一个面向 AI Agent/Hermes 的**自主加密货币纸面交易系统运行时**，专注于实时市场数据与策略执行。它提供了一个自包含的环境，用于模拟交易、风险控制和审计，不涉及真实资金交易。
  • mediumabout#2
    Update the repository description to be more specific about its function and audience

    Why:

    CURRENT
    交易猫数据系统
    COPY-PASTE FIX
    面向 AI Agent/Hermes 的自主加密货币纸面交易系统运行时，提供实时市场数据、策略执行与风险控制。
  • mediumtopics#3
    Add more specific topics to reinforce its identity as an AI agent trading system

    Why:

    CURRENT
    ai, binance, bitcoin, ccxt, crypto, cryptocurrency, ethereum, futures, indicators, market-data, pandas, python, quantitative-trading, real-time, ta-lib, technical-analysis, telegram-bot, timescaledb, trading, wyckoff
    COPY-PASTE FIX
    ai, ai-agent, autonomous-trading, binance, bitcoin, ccxt, crypto, cryptocurrency, ethereum, futures, indicators, market-data, pandas, paper-trading, python, quantitative-trading, real-time, ta-lib, technical-analysis, telegram-bot, timescaledb, trading, trading-system, wyckoff

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 tradecatlabs/tradecat-public
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. ccxt/ccxt · recommended 2×
  3. pandas-dev/pandas · recommended 2×
  4. mrjbq7/ta-lib · recommended 1×
  5. twopirllc/pandas-ta · recommended 1×
  • CATEGORY QUERY
    How to build an autonomous paper trading system for crypto with real-time market data?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. CCXT (ccxt/ccxt)
    3. Pandas (pandas-dev/pandas)
    4. Ta-Lib (mrjbq7/ta-lib)
    5. Pandas-TA (twopirllc/pandas-ta)
    6. Backtrader (mementum/backtrader)
    7. Redis (redis/redis)
    8. Streamlit (streamlit/streamlit)
    9. Dash (plotly/dash)
    10. Docker (docker/docker-ce)
    11. docker-compose (docker/compose)

    AI recommended 11 alternatives but never named tradecatlabs/tradecat-public. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help an AI agent perform quantitative crypto analysis using market indicators?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. Pandas (pandas-dev/pandas)
    3. NumPy (numpy/numpy)
    4. TA-Lib (TA-Lib/ta-lib)
    5. CCXT (ccxt/ccxt)
    6. Scikit-learn (scikit-learn/scikit-learn)
    7. TensorFlow (tensorflow/tensorflow)
    8. PyTorch (pytorch/pytorch)
    9. Matplotlib (matplotlib/matplotlib)
    10. Seaborn (mwaskom/seaborn)
    11. Dask (dask/dask)

    AI recommended 11 alternatives but never named tradecatlabs/tradecat-public. 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 tradecatlabs/tradecat-public?
    pass
    AI named tradecatlabs/tradecat-public explicitly

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

  • If a team adopts tradecatlabs/tradecat-public in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name tradecatlabs/tradecat-public — 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?

  • In one sentence, what problem does the repo tradecatlabs/tradecat-public solve, and who is the primary audience?
    pass
    AI did not name tradecatlabs/tradecat-public — 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?

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite