RRepoGEO

REPOGEO REPORT · LITE

wangzhe3224/awesome-systematic-trading

Default branch master · commit 53cc081d · scanned 6/20/2026, 4:21:47 AM

GitHub: 4,333 stars · 557 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
33 /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
2 / 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 README opening to clarify value as a discovery hub

    Why:

    CURRENT
    A curated list of awesome libraries, packages and resources for Systematic Trading (Quantitative Trading)
    COPY-PASTE FIX
    If you're looking for the best open-source libraries, packages, and resources to build systematic trading strategies, this curated list is your essential starting point. It serves as a comprehensive hub for quantitative traders, researchers, and developers.
  • mediumtopics#2
    Expand topics with specific asset classes and AI

    Why:

    CURRENT
    algorithmic-trading, alpha, awesome-list, backtesting, bitcoin, cryptocurrencies, cryptocurrency, finance, finances, golang, python, quant, quantitative-trading, rust, systematic-trading, systematic-trading-strategies, trading, trading-algorithms, trading-bot, trading-strategies
    COPY-PASTE FIX
    algorithmic-trading, alpha, artificial-intelligence, awesome-list, backtesting, bitcoin, cfds, cryptocurrencies, cryptocurrency, finance, finances, futures, fx, golang, machine-learning, options, python, quant, quantitative-investment, quantitative-trading, rust, stock-market, systematic-trading, systematic-trading-strategies, trading, trading-algorithms, trading-bot, trading-strategies
  • lowreadme#3
    Streamline immediate README opening for clarity

    Why:

    CURRENT
    The verbose 'Open access: all rights granted...' block and the 'Interested in systematic trading? Check QuantBox' line appear very early in the README.
    COPY-PASTE FIX
    Move the detailed 'Open access' licensing information to a dedicated 'License for List Content' section further down the README, and relocate the 'Interested in systematic trading? Check QuantBox' line to a 'Related Projects' or 'About the Maintainer' section, to ensure the repo's core purpose is immediately clear.

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
Zipline
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Zipline · recommended 1×
  2. Backtrader · recommended 1×
  3. QuantConnect LEAN · recommended 1×
  4. PyAlgoTrade · recommended 1×
  5. Catalyst · recommended 1×
  • CATEGORY QUERY
    What are the best open-source libraries for building systematic trading strategies?
    you: not recommended
    AI recommended (in order):
    1. Zipline
    2. Backtrader
    3. QuantConnect LEAN
    4. PyAlgoTrade
    5. Catalyst
    6. TA-Lib
    7. Pandas

    AI recommended 7 alternatives but never named wangzhe3224/awesome-systematic-trading. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking comprehensive resources and tools for quantitative trading and algorithmic strategy development.
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean) (QuantConnect/Lean)
    2. Zipline (quantopian/zipline)
    3. Backtrader (mementum/backtrader)
    4. MetaTrader 5 (MT5) with MQL5
    5. Interactive Brokers (IBKR) API
    6. AlgoTrader
    7. PyAlgoTrade (gbeced/pyalgotrade)

    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 named wangzhe3224/awesome-systematic-trading explicitly

    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 named wangzhe3224/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 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.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite