RRepoGEO

REPOGEO REPORT · LITE

wquguru/nof0

Default branch main · commit fe40d850 · scanned 5/22/2026, 2:37:45 AM

GitHub: 2,765 stars · 429 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 wquguru/nof0, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-trading, llm-agents, crypto-trading, trading-arena, quantitative-finance, prompt-engineering, open-source
  • highreadme#2
    Add a concise English summary to the README

    Why:

    COPY-PASTE FIX
    Add this paragraph immediately after the H1 title:

"NOF0 is an open-source AI trading arena where multiple LLM/Agentic models compete in real-time cryptocurrency markets. It provides a platform to compare prompt-based trading strategies with live PNL tracking."
  • highlicense#3
    Add a LICENSE file and mention it in the README

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the full text of the MIT License. Add a line to the README, for example, 'This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.'

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 wquguru/nof0
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. mementum/backtrader · recommended 2×
  3. quantopian/zipline · recommended 1×
  4. OpenBB-finance/OpenBBTerminal · recommended 1×
  5. enigmampc/catalyst · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source platform to run AI trading agent competitions with real data.
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Backtrader (mementum/backtrader)
    3. Zipline (quantopian/zipline)
    4. OpenBB Terminal (OpenBB-finance/OpenBBTerminal)
    5. Catalyst (enigmampc/catalyst)
    6. Fynance (fynance/fynance)

    AI recommended 6 alternatives but never named wquguru/nof0. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow comparing different LLM-based trading strategies in a live market arena?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (QuantConnect/Lean)
    2. Alpaca
    3. MetaTrader 5
    4. TradingView
    5. Backtrader (mementum/backtrader)
    6. Interactive Brokers

    AI recommended 6 alternatives but never named wquguru/nof0. 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 wquguru/nof0?
    pass
    AI named wquguru/nof0 explicitly

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

  • If a team adopts wquguru/nof0 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wquguru/nof0 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 wquguru/nof0 solve, and who is the primary audience?
    pass
    AI named wquguru/nof0 explicitly

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

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wquguru/nof0 — 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