RRepoGEO

REPOGEO REPORT · LITE

paperswithbacktest/awesome-systematic-trading

Default branch main · commit 1ce1eb2b · scanned 5/13/2026, 3:43:28 PM

GitHub: 8,152 stars · 1,152 forks

AI VISIBILITY SCORE
22 /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
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 paperswithbacktest/awesome-systematic-trading, 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.

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 paperswithbacktest/awesome-systematic-trading
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Quantopian Lecture Series
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Quantopian Lecture Series · recommended 1×
  2. Quantitative Trading: How to Build Your Own Algorithmic Trading Business · recommended 1×
  3. Algorithmic Trading: Winning Strategies and Their Rationale · recommended 1×
  4. Python for Finance: Mastering Data-Driven Finance · recommended 1×
  5. QuantConnect University · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources for developing and implementing quantitative trading strategies?
    you: not recommended
    AI recommended (in order):
    1. Quantopian Lecture Series
    2. Quantitative Trading: How to Build Your Own Algorithmic Trading Business
    3. Algorithmic Trading: Winning Strategies and Their Rationale
    4. Python for Finance: Mastering Data-Driven Finance
    5. QuantConnect University
    6. Advances in Financial Machine Learning
    7. Wilmott.com Forums and Articles

    AI recommended 7 alternatives but never named paperswithbacktest/awesome-systematic-trading. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best libraries and frameworks for systematic trading strategy development and backtesting?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Zipline (quantopian/zipline)
    3. Backtrader (mementum/backtrader)
    4. PyAlgoTrade (gbeced/pyalgotrade)
    5. Catalyst (enigmampc/catalyst)
    6. VectorBT (polakowo/vectorbt)
    7. Amibroker

    AI recommended 7 alternatives but never named paperswithbacktest/awesome-systematic-trading. 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 paperswithbacktest/awesome-systematic-trading?
    pass
    AI did not name paperswithbacktest/awesome-systematic-trading — 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 paperswithbacktest/awesome-systematic-trading in production, what risks or prerequisites should they evaluate first?
    pass
    AI named paperswithbacktest/awesome-systematic-trading 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 paperswithbacktest/awesome-systematic-trading solve, and who is the primary audience?
    pass
    AI did not name paperswithbacktest/awesome-systematic-trading — 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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