REPOGEO REPORT · LITE

cinar/indicator

Default branch master · commit 7cba43f3 · scanned 6/23/2026, 5:31:23 PM

GitHub: 1,165 stars · 191 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 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 cinar/indicator, 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 and strengthen the README's opening statement

Why:

CURRENT

Indicator Go
Indicator is a Golang module that provides an extensive set of technical analysis indicators, strategies, and a framework for backtesting with real-time strategy execution.

> An extensive technical analysis library for algorithmic trading - 80+ indicators, backtesting framework, and AI integration via MCP.

COPY-PASTE FIX

Indicator Go: An extensive Go technical analysis library for algorithmic trading
Indicator is a Golang module that provides an extensive set of technical analysis indicators, strategies, and a framework for backtesting with real-time strategy execution. It offers 80+ indicators, a backtesting framework, and AI integration via MCP.

mediumabout#2

Clarify the 'About' description to reinforce 'Go technical analysis'

Why:

CURRENT

Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

COPY-PASTE FIX

Indicator Go delivers a rich set of Go technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

lowhomepage#3
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://godoc.org/github.com/cinar/indicator/v2
```

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 cinar/indicator

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

ta-lib/go-talib

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

ta-lib/go-talib · recommended 1×
go-finance/indicators · recommended 1×
markcheno/go-quote · recommended 1×
adshao/go-backtest · recommended 1×
quantfamily/quant · recommended 1×

CATEGORY QUERY
What Go library offers comprehensive technical analysis indicators and a backtesting framework?
you: not recommended
AI recommended (in order):
1. ta-lib/go-talib (ta-lib/go-talib)
2. go-finance/indicators (go-finance/indicators)
3. markcheno/go-quote (markcheno/go-quote)
4. Go-Backtest (adshao/go-backtest)
5. quantfamily/quant (quantfamily/quant)
AI recommended 5 alternatives but never named cinar/indicator. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I implement algorithmic trading strategies and backtest them efficiently in Go?
you: not recommended
AI recommended (in order):
1. QuantConnect Lean
2. Go-Quant (go-quant/go-quant)
3. Alpaca (alpacahq/alpaca-trade-api-go)
4. Ta-Lib (markcheno/go-talib)
5. Gocryptotrader (thrasher-corp/gocryptotrader)
AI recommended 5 alternatives but never named cinar/indicator. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
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 cinar/indicator?
pass
AI named cinar/indicator explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts cinar/indicator in production, what risks or prerequisites should they evaluate first?
pass
AI named cinar/indicator 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 cinar/indicator solve, and who is the primary audience?
pass
AI named cinar/indicator explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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HTML

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cinar/indicator — 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