RRepoGEO

REPOGEO REPORT · LITE

wangzhe3224/awesome-systematic-trading

Default branch master · commit dbf39e48 · scanned 5/10/2026, 5:56:47 AM

GitHub: 4,115 stars · 522 forks

AI VISIBILITY SCORE
20 /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
0 / 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 wangzhe3224/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.

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 to clearly state it's an "awesome list."

    Why:

    CURRENT
    # Awesome Systematic Trading

> or Quantitative Trading + a bit data science infra

... A curated list of awesome libraries, packages and resources for Systematic Trading (Quantitative Trading)
    COPY-PASTE FIX
    # Awesome Systematic Trading

This is an **awesome list**: a curated collection of insanely awesome libraries, packages, and resources for systematic trading (also known as quantitative trading). It covers Crypto, Stock, Futures, Options, CFDs, FX, and more.
  • mediumabout#2
    Emphasize "awesome list" in the repository description.

    Why:

    CURRENT
    A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
    COPY-PASTE FIX
    An **awesome list** of insanely awesome libraries, packages, and resources for systematic trading (quantitative trading). Covers Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
  • lowreadme#3
    Clarify the dual licensing statement in the README.

    Why:

    CURRENT
    Open access: all rights granted for use and re-use of any kind, by anyone, at no cost, under your choice of either the free MIT License or Creative Commons CC-BY International Public License.
    COPY-PASTE FIX
    This awesome list is openly accessible and licensed under your choice of either the free [MIT License](LICENSE) or the [Creative Commons CC-BY 4.0 International Public License](https://creativecommons.org/licenses/by/4.0/). All rights are granted for use and re-use of any kind, by anyone, at no cost.

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 wangzhe3224/awesome-systematic-trading
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. Zipline · recommended 1×
  3. Backtrader · recommended 1×
  4. PyAlgoTrade · recommended 1×
  5. Catalyst · recommended 1×
  • CATEGORY QUERY
    What are the best libraries for developing systematic trading strategies across multiple asset classes?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean)
    2. Zipline
    3. Backtrader
    4. PyAlgoTrade
    5. Catalyst
    6. QuantLib

    AI recommended 6 alternatives but never named wangzhe3224/awesome-systematic-trading. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find resources and packages for quantitative trading and algorithmic finance?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean) (QuantConnect/Lean)
    2. Zipline (quantopian/zipline)
    3. Backtrader (mementum/backtrader)
    4. PyAlgoTrade (gbeced/pyalgotrade)
    5. QuantLib (lballabio/quantlib)
    6. TA-Lib (TA-Lib/ta-lib)
    7. Alpaca API (alpacahq/alpaca-trade-api-python)

    AI recommended 7 alternatives but never named wangzhe3224/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
    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 wangzhe3224/awesome-systematic-trading?
    pass
    AI did not name wangzhe3224/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 wangzhe3224/awesome-systematic-trading in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name wangzhe3224/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?

  • In one sentence, what problem does the repo wangzhe3224/awesome-systematic-trading solve, and who is the primary audience?
    pass
    AI did not name wangzhe3224/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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wangzhe3224/awesome-systematic-trading — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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