RRepoGEO

REPOGEO REPORT · LITE

YoungCan-Wang/WyckoffTradingAgent

Default branch main · commit 432071ea · scanned 6/19/2026, 9:42:10 AM

GitHub: 505 stars · 162 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 YoungCan-Wang/WyckoffTradingAgent, 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
    Add a concise English value proposition to the README's opening

    Why:

    CURRENT
    # WyckoffAgent — Open-Source Wyckoff Trading Agent

**A 股 / 港股 / 美股威科夫量价分析智能体 — 你说人话，他读盘面。**
    COPY-PASTE FIX
    # WyckoffAgent — Open-Source Wyckoff Trading Agent

An open-source AI trading agent and stock screener for Wyckoff volume-price analysis, supporting A-shares, Hong Kong, and US markets with CLI workflows and MCP tools.

**A 股 / 港股 / 美股威科夫量价分析智能体 — 你说人话，他读盘面。**
  • mediumtopics#2
    Add 'stock-screener' to repository topics

    Why:

    CURRENT
    a-shares, ai-trading-agent, trading-agent, volume-price-analysis, wyckoff
    COPY-PASTE FIX
    a-shares, ai-trading-agent, trading-agent, volume-price-analysis, wyckoff, stock-screener
  • mediumreadme#3
    Add an English 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Features

- Natural language interaction for Wyckoff analysis
- Automated workflow for A-share daily market data, Wyckoff structure recognition, AI research reports, position risk control, pattern review, and notifications
- Extended support for Hong Kong and US stock funnel scanning

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 YoungCan-Wang/WyckoffTradingAgent
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. MetaTrader 5 · recommended 1×
  3. MetaQuotes/MetaTrader5 · recommended 1×
  4. pandas-dev/pandas · recommended 1×
  5. numpy/numpy · recommended 1×
  • CATEGORY QUERY
    Looking for an AI trading agent to automate Wyckoff volume-price analysis for stock markets.
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. MetaTrader 5
    3. MetaTrader5 (MetaQuotes/MetaTrader5)
    4. pandas (pandas-dev/pandas)
    5. numpy (numpy/numpy)
    6. TA-Lib (TA-Lib/ta-lib)
    7. Alpaca
    8. Alpaca-py (alpacahq/alpaca-py)
    9. pandas-ta (twopirllc/pandas-ta)
    10. backtrader (mementum/backtrader)
    11. TradingView
    12. Pine Script
    13. Interactive Brokers
    14. IBKR API
    15. ib_insync (erdewit/ib_insync)
    16. OpenBB Terminal (OpenBB-finance/OpenBBTerminal)

    AI recommended 16 alternatives but never named YoungCan-Wang/WyckoffTradingAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build an automated stock screener for A-shares using advanced technical analysis?
    you: not recommended
    AI recommended (in order):
    1. Tushare
    2. Pandas
    3. NumPy
    4. TA-Lib
    5. Baostock
    6. AkShare
    7. Zipline
    8. Backtrader
    9. quantmod
    10. TTR

    AI recommended 10 alternatives but never named YoungCan-Wang/WyckoffTradingAgent. 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 YoungCan-Wang/WyckoffTradingAgent?
    pass
    AI did not name YoungCan-Wang/WyckoffTradingAgent — 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 YoungCan-Wang/WyckoffTradingAgent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named YoungCan-Wang/WyckoffTradingAgent 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 YoungCan-Wang/WyckoffTradingAgent solve, and who is the primary audience?
    pass
    AI did not name YoungCan-Wang/WyckoffTradingAgent — 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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YoungCan-Wang/WyckoffTradingAgent — 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