RRepoGEO

REPOGEO REPORT · LITE

c9s/bbgo

Default branch main · commit 985f9cf9 · scanned 6/1/2026, 3:17:30 AM

GitHub: 1,650 stars · 374 forks

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 c9s/bbgo, 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's opening statement to highlight Go framework and algorithmic trading

    Why:

    CURRENT
    A modern crypto trading bot framework written in Go.
    COPY-PASTE FIX
    BBGO is a robust, open-source Go framework for building, backtesting, and deploying custom cryptocurrency algorithmic trading strategies across multiple exchanges. Leverage Go's performance and concurrency for reliable, self-hosted bot development.
  • mediumtopics#2
    Add more specific topics to improve query matching

    Why:

    CURRENT
    binance, bitcoin, crypto, cryptocurrency, trading, trading-bot
    COPY-PASTE FIX
    binance, bitcoin, crypto, cryptocurrency, trading, trading-bot, go-lang, algorithmic-trading, backtesting, trading-framework
  • lowreadme#3
    Add a 'Comparison with Alternatives' section to README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives
    
    BBGO stands out as a dedicated Go framework, offering superior performance and concurrency for self-hosted algorithmic trading compared to Python-based solutions like Freqtrade or Jesse. Unlike general-purpose exchange libraries, BBGO provides a complete framework with built-in strategies, backtesting, and multi-exchange abstraction, making it ideal for developers seeking a robust, extensible platform.

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 c9s/bbgo
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ccxt/ccxt
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ccxt/ccxt · recommended 1×
  2. QuantConnect/Lean · recommended 1×
  3. freqtrade/freqtrade · recommended 1×
  4. jesse-ai/jesse · recommended 1×
  5. 3Commas · recommended 1×
  • CATEGORY QUERY
    How can I build an automated cryptocurrency trading bot with custom strategies?
    you: not recommended
    AI recommended (in order):
    1. CCXT (ccxt/ccxt)
    2. QuantConnect (Lean Engine) (QuantConnect/Lean)
    3. Freqtrade (freqtrade/freqtrade)
    4. Jesse (jesse-ai/jesse)
    5. 3Commas
    6. Pionex

    AI recommended 6 alternatives but never named c9s/bbgo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Go frameworks exist for developing high-frequency crypto trading algorithms and backtesting?
    you: not recommended
    AI recommended (in order):
    1. Gocryptotrader (github.com/thrasher-corp/gocryptotrader)
    2. QuantConnect
    3. Go-Binance (github.com/adshao/go-binance)
    4. Go-KrakenAPI (github.com/beldur/go-krakenapi)
    5. gorilla/websocket (github.com/gorilla/websocket)
    6. Alpaca-Go (github.com/alpacahq/alpaca-trade-api-go)

    AI recommended 6 alternatives but never named c9s/bbgo. 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 c9s/bbgo?
    pass
    AI did not name c9s/bbgo — 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 c9s/bbgo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named c9s/bbgo 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 c9s/bbgo solve, and who is the primary audience?
    pass
    AI named c9s/bbgo explicitly

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

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c9s/bbgo — 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