REPOGEO REPORT · LITE
c9s/bbgo
Default branch main · commit 985f9cf9 · scanned 6/1/2026, 3:17:30 AM
GitHub: 1,650 stars · 374 forks
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.
- highreadme#1Strengthen README's opening statement to highlight Go framework and algorithmic trading
Why:
CURRENTA modern crypto trading bot framework written in Go.
COPY-PASTE FIXBBGO 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#2Add more specific topics to improve query matching
Why:
CURRENTbinance, bitcoin, crypto, cryptocurrency, trading, trading-bot
COPY-PASTE FIXbinance, bitcoin, crypto, cryptocurrency, trading, trading-bot, go-lang, algorithmic-trading, backtesting, trading-framework
- lowreadme#3Add 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.
- ccxt/ccxt · recommended 1×
- QuantConnect/Lean · recommended 1×
- freqtrade/freqtrade · recommended 1×
- jesse-ai/jesse · recommended 1×
- 3Commas · recommended 1×
- CATEGORY QUERYHow can I build an automated cryptocurrency trading bot with custom strategies?you: not recommendedAI recommended (in order):
- CCXT (ccxt/ccxt)
- QuantConnect (Lean Engine) (QuantConnect/Lean)
- Freqtrade (freqtrade/freqtrade)
- Jesse (jesse-ai/jesse)
- 3Commas
- Pionex
AI recommended 6 alternatives but never named c9s/bbgo. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat Go frameworks exist for developing high-frequency crypto trading algorithms and backtesting?you: not recommendedAI recommended (in order):
- Gocryptotrader (github.com/thrasher-corp/gocryptotrader)
- QuantConnect
- Go-Binance (github.com/adshao/go-binance)
- Go-KrakenAPI (github.com/beldur/go-krakenapi)
- gorilla/websocket (github.com/gorilla/websocket)
- 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 completenesspass
- README presencepass
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?passAI 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?passAI 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?passAI 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.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite