RRepoGEO

REPOGEO REPORT · LITE

brokermr810/QuantDinger

Default branch main · commit 870be67c · scanned 6/20/2026, 12:11:50 AM

GitHub: 8,269 stars · 1,753 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
40 /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
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 brokermr810/QuantDinger, 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
  • highabout#1
    Clean up malformed description text

    Why:

    CURRENT
    AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
    COPY-PASTE FIX
    AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.
  • highreadme#2
    Clarify README's H3 and opening sentence for AI framework positioning

    Why:

    CURRENT
    <h1>QuantDinger</h1>
  <h3>The open-source AI infrastructure layer for quant trading</h3>
  <p><strong>Turn trading ideas into Python strategies, backtests, paper trading, and live execution - all in one self-hosted stack.</strong></p>
    COPY-PASTE FIX
    <h1>QuantDinger</h1>
  <h3>QuantDinger: An open-source AI quantitative trading framework for Python</h3>
  <p><strong>QuantDinger is a comprehensive, self-hosted Python framework to turn trading ideas into AI strategies, backtests, paper trading, and live execution.</strong></p>
  • mediumtopics#3
    Enhance topics with specific AI trading keywords

    Why:

    CURRENT
    agent, ai, alpaca, backtesting, binance, coinbase, crypto, exchange, finance, fintech, forex, mcp-server, mt5, python, quant, quantitative-finance, saas, stocks, strategy, trade
    COPY-PASTE FIX
    agent, ai, alpaca, backtesting, binance, coinbase, crypto, exchange, finance, fintech, forex, mcp-server, mt5, python, quant, quantitative-finance, saas, stocks, strategy, trade, ai-trading, ai-trader, trading-agents

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 brokermr810/QuantDinger
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Zipline
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Zipline · recommended 2×
  2. Backtrader · recommended 2×
  3. QuantConnect (Lean Engine) · recommended 1×
  4. MetaTrader 5 · recommended 1×
  5. `MetaTrader5` package · recommended 1×
  • CATEGORY QUERY
    How to build an AI-driven trading platform for crypto, stocks, and forex with backtesting?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine)
    2. Zipline
    3. Backtrader
    4. MetaTrader 5
    5. `MetaTrader5` package
    6. Alpaca
    7. TensorFlow
    8. PyTorch

    AI recommended 8 alternatives but never named brokermr810/QuantDinger. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a self-hosted Python framework to develop and execute quantitative trading strategies.
    you: not recommended
    AI recommended (in order):
    1. QuantConnect LEAN
    2. Zipline
    3. Backtrader
    4. PyAlgoTrade
    5. Catalyst
    6. Jesse

    AI recommended 6 alternatives but never named brokermr810/QuantDinger. 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 brokermr810/QuantDinger?
    pass
    AI named brokermr810/QuantDinger explicitly

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

  • If a team adopts brokermr810/QuantDinger in production, what risks or prerequisites should they evaluate first?
    pass
    AI named brokermr810/QuantDinger 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 brokermr810/QuantDinger solve, and who is the primary audience?
    pass
    AI named brokermr810/QuantDinger explicitly

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

Embed your GEO score

Drop this badge into the README of brokermr810/QuantDinger. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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brokermr810/QuantDinger — 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
brokermr810/QuantDinger — RepoGEO report