RRepoGEO

REPOGEO REPORT · LITE

Lumiwealth/lumibot

Default branch dev · commit ac0a9374 · scanned 6/30/2026, 12:02:13 AM

GitHub: 1,708 stars · 328 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
    Strengthen README opening to highlight AI agent differentiation

    Why:

    CURRENT
    Lumibot: Backtestable AI Agents and Python Algorithmic Trading

**Build deterministic trading strategies, AI trading agents, and AI trading teams for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, technical indicators, and real brokers.** Backtest, paper trade, or run live with the same Python code.
    COPY-PASTE FIX
    Lumibot: Backtestable AI Agents and Python Algorithmic Trading

**Lumibot is a modern Python framework that empowers you to build advanced AI trading agents and AI trading teams, going beyond traditional algorithmic strategies.** Develop deterministic trading strategies, AI agents that reason through evidence and call tools, and deploy them for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, technical indicators, and real brokers. Backtest, paper trade, or run live with the same Python code.
  • mediumreadme#2
    Add a 'Why Lumibot?' section comparing to traditional frameworks

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'Why Lumibot? (Beyond Traditional Frameworks)' or 'Lumibot vs. X, Y, Z', that explicitly contrasts Lumibot's AI agent, multi-agent, and real broker integration features with common alternatives like Backtrader, Zipline, or QuantConnect. This section should highlight how Lumibot offers a more modern, AI-first approach to algorithmic trading.
  • lowabout#3
    Refine 'About' description to emphasize 'framework' and 'advanced' capabilities

    Why:

    CURRENT
    Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
    COPY-PASTE FIX
    A Python framework for backtestable AI trading agents and advanced algorithmic trading strategies across stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

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. gbeced/pyalgotrade · recommended 2×
  5. quantopian/catalyst · recommended 1×
  • CATEGORY QUERY
    How to develop and backtest AI-powered algorithmic trading strategies in Python for various assets?
    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 (quantopian/catalyst)
    6. TensorFlow (tensorflow/tensorflow)
    7. PyTorch (pytorch/pytorch)
    8. Optuna (optuna/optuna)
    9. Hyperopt (hyperopt/hyperopt)

    AI recommended 9 alternatives but never named Lumiwealth/lumibot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python framework for multi-asset algorithmic trading with real broker integration and historical data analysis.
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Quantopian (Zipline) (quantopian/zipline)
    3. Backtrader (mementum/backtrader)
    4. PyAlgoTrade (gbeced/pyalgotrade)
    5. Catalyst (enigmampc/catalyst)
    6. Interactive Brokers API (ib_insync) (erdewit/ib_insync)
    7. Alpaca-py (alpacahq/alpaca-py)

    AI recommended 7 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.

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