RRepoGEO

REPOGEO REPORT · LITE

tukuaiai/tradecat

Default branch develop · commit a9194d4d · scanned 6/17/2026, 2:32:09 PM

GitHub: 957 stars · 244 forks

AI VISIBILITY SCORE
40 /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
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 tukuaiai/tradecat, 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
  • highabout#1
    Update the repository description to be more specific

    Why:

    CURRENT
    交易猫数据系统
    COPY-PASTE FIX
    Autonomous paper trading runtime for AI agents, focusing on crypto market data analysis and strategy execution without real funds.
  • highreadme#2
    Add a clear English purpose statement to the README's opening

    Why:

    CURRENT
    # TradeCat Public

## Sponsors / 赞助商
    COPY-PASTE FIX
    # TradeCat Public

An autonomous paper trading runtime for AI agents and Hermes, designed for cryptocurrency market data analysis and strategy execution in a safe, paper-only environment.

## Sponsors / 赞助商
  • mediumtopics#3
    Refine topics to include 'agent-trading', 'autonomous-trading', and 'paper-trading'

    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, agent-trading, autonomous-trading, paper-trading, 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

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 tukuaiai/tradecat
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. QuantConnect/Lean · recommended 2×
  2. ccxt/ccxt · recommended 2×
  3. OpenBB-finance/OpenBBTerminal · recommended 1×
  4. mementum/backtrader · recommended 1×
  5. tensorflow/tensorflow · recommended 1×
  • CATEGORY QUERY
    How to build an autonomous paper trading system for cryptocurrency using AI agents?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. OpenBB Terminal (formerly Gamestonk Terminal) (OpenBB-finance/OpenBBTerminal)
    3. Backtrader (mementum/backtrader)
    4. CCXT (CryptoCurrency eXchange Trading Library) (ccxt/ccxt)
    5. TensorFlow (tensorflow/tensorflow)
    6. PyTorch (pytorch/pytorch)
    7. Scikit-learn (scikit-learn/scikit-learn)
    8. Apache Kafka (apache/kafka)
    9. RabbitMQ (rabbitmq/rabbitmq-server)

    AI recommended 9 alternatives but never named tukuaiai/tradecat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for real-time crypto market data analysis and technical indicators for automated strategies?
    you: not recommended
    AI recommended (in order):
    1. CCXT (ccxt/ccxt)
    2. Ta-Lib (mrjbq7/ta-lib)
    3. QuantConnect (QuantConnect/Lean)
    4. Alpaca Markets
    5. Binance API
    6. KuCoin API
    7. TradingView

    AI recommended 7 alternatives but never named tukuaiai/tradecat. 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 tukuaiai/tradecat?
    pass
    AI named tukuaiai/tradecat explicitly

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

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