Crypto Ta Analyzer
This bundles 29+ technical indicators into a single analysis pipeline with 7-tier signal scoring, divergence detection, and volume confirmation. You feed it OHLCV data, it runs the indicator stack via ta_analyzer.py, and you get deterministic output instead of narrative speculation. The workflow is explicit about normalization first, includes converters for CoinGecko and custom formats, and pushes you to explain indicator agreement and conflicts rather than cherry-picking one number. Useful when you need systematic TA across multiple timeframes or assets without manually running each indicator separately. The guardrails are sensible: it won't let you present signals as predictions, which is the right call for anything touching trading decisions.
- skills.sh installs
- 1.6K
- GitHub stars
- 131
- last updated
- Aug 21, 2026
Install
$ npx -y skills add dkyazzentwatwa/chatgpt-skills --skill crypto-ta-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
Files
Crypto 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.
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- Repository
- github.com/dkyazzentwatwa/chatgpt-skills
- Category
- Finance & Trading
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