RRepoGEO

REPOGEO REPORT · LITE

Lumiwealth/lumibot

Default branch dev · commit 2a919939 · scanned 5/18/2026, 5:16:51 PM

GitHub: 1,558 stars · 300 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 Lumiwealth/lumibot, 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 emphasize modern AI and multi-broker connectivity

    Why:

    CURRENT
    Build deterministic trading strategies, multi-agent LLM trading systems, and hybrid strategies that backtest, paper trade, and execute through real brokers. Lumibot is an open-source algorithmic trading framework for stocks, options, crypto, futures, forex, indexes, SEC fundamentals, macro data, technical indicators, and AI agents that can actually place orders.
    COPY-PASTE FIX
    Lumibot is the **modern, open-source Python framework** for building and deploying **AI-driven, multi-agent algorithmic trading strategies** across stocks, options, crypto, futures, and forex, with seamless backtesting and **real broker connectivity**.
  • mediumreadme#2
    Add a 'Why Lumibot?' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Why Lumibot?' or 'Key Differentiators' that explicitly outlines its advantages, such as its unified, multi-broker integration and streamlined transition from backtesting to live trading for AI-driven strategies, compared to other frameworks.
  • lowreadme#3
    Expand on AI and LLM agent capabilities in README

    Why:

    COPY-PASTE FIX
    Add a dedicated subsection or expand an existing one (e.g., under 'Features') to elaborate on how Lumibot supports building and deploying 'multi-agent LLM trading systems' and 'AI agents that can actually place orders,' perhaps with a brief use case or example.

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 Lumiwealth/lumibot
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. quantopian/zipline · recommended 2×
  3. mementum/backtrader · recommended 2×
  4. gbcl/pyalgotrade · recommended 1×
  5. enigmampc/catalyst · recommended 1×
  • CATEGORY QUERY
    Looking for a Python framework to build and backtest AI-driven algorithmic trading strategies.
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean) (QuantConnect/Lean)
    2. Zipline (quantopian/zipline)
    3. Backtrader (mementum/backtrader)
    4. PyAlgoTrade (gbcl/pyalgotrade)
    5. Catalyst (enigmampc/catalyst)
    6. VectorBT (polakowo/vectorbt)

    AI recommended 6 alternatives but never named Lumiwealth/lumibot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools allow developing multi-asset trading bots with real broker connectivity?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Quantopian (Zipline) (quantopian/zipline)
    3. Backtrader (mementum/backtrader)
    4. Alpaca-Trade-API (Python) (alpacahq/alpaca-trade-api-python)
    5. Freqtrade (freqtrade/freqtrade)
    6. Jesse (jesse-ai/jesse)

    AI recommended 6 alternatives but never named Lumiwealth/lumibot. 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 Lumiwealth/lumibot?
    pass
    AI named Lumiwealth/lumibot explicitly

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

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

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

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Lumiwealth/lumibot — 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