C
crypto-ta-analyzer
About crypto-ta-analyzer
crypto-ta-analyzer is a skill for performing indicator-based technical analysis of cryptocurrency markets. It converts OHLCV data when needed, then runs indicators and signal scoring while distinguishing calculated signals from interpretation.
Key features
- 01Convert source data to normalized OHLCV
- 02Run technical indicator analysis
- 03Score signals
- 04Explain indicator conflicts and regime sensitivity
Use cases
- 01Analyze cryptocurrency OHLCV data
- 02Compare signals across technical indicators
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ dkyazzentwatwa/ chatgpt-skills --skill crypto-ta-analyzerAfter installing, type/crypto-ta-analyzerin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
.DS_Store.gitignoreCLAUDE.mdrequirements.txtagents/openai.yamlreferences/indicators.mdscripts/coingecko_converter.pydata_converter.pyrequirements.txtta_analyzer.pyDetails
From the project READMECrypto TA Analyzer
Use the bundled indicators when the user needs explicit technical analysis rather than a narrative market opinion.
Workflow
- Get normalized OHLCV data first.
- Use
scripts/data_converter.pyorscripts/coingecko_converter.pywhen source formats need reshaping. - Run
scripts/ta_analyzer.pyfor the actual indicator stack and signal scoring. - Explain indicator agreement, conflicts, and regime sensitivity instead of presenting one number without context.
Guardrails
- Do not present signals as guaranteed outcomes.
- Keep the distinction clear between deterministic indicator output and discretionary interpretation.
Comments
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