# crypto-ta-analyzer

Runs indicator math over crypto or market OHLCV data and shows where signals agree and where they fight.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1600 installs · ★ 122
- Author: dkyazzentwatwa
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/dkyazzentwatwa/chatgpt-skills/tree/HEAD/crypto-ta-analyzer/SKILL.md
- Updated: 2026-04-08
- HTML: https://affpapa.org/en/nevibecode/skills/crypto-ta-analyzer

## What it does

The skill runs technical analysis on normalized OHLCV data. Three scripts do the work: `scripts/data_converter.py` and `scripts/coingecko_converter.py` reshape source formats, and `scripts/ta_analyzer.py` computes the indicator stack and scores the signals. Trend, momentum, volume and divergence each get looked at on their own instead of collapsing into one number.

Order matters. Get the data, convert it, then analyze. Feed it a raw export and the scripts won't recognize the format — that's the usual first stumble.

The skill's own guardrails say signals are not guaranteed outcomes, and it asks you to keep deterministic indicator output separate from your own reading of the chart. So expect an answer that walks through indicator agreement and conflicts, not a verdict.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add dkyazzentwatwa/chatgpt-skills --skill crypto-ta-analyzer -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/crypto-ta-analyzer/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/crypto-ta-analyzer/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add dkyazzentwatwa/chatgpt-skills --skill crypto-ta-analyzer -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/crypto-ta-analyzer/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add dkyazzentwatwa/chatgpt-skills --skill crypto-ta-analyzer -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/crypto-ta-analyzer/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install dkyazzentwatwa/chatgpt-skills crypto-ta-analyzer
```

2. **Manually: put the files in place**
- File: `.github/skills/crypto-ta-analyzer/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add dkyazzentwatwa/chatgpt-skills --skill crypto-ta-analyzer -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/dkyazzentwatwa/chatgpt-skills --path crypto-ta-analyzer
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/crypto-ta-analyzer/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add dkyazzentwatwa/chatgpt-skills --skill crypto-ta-analyzer -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/dkyazzentwatwa/chatgpt-skills/tree/HEAD/crypto-ta-analyzer/SKILL.md

## When to use it
- compute RSI, MACD and moving averages from an OHLCV export
- reshape CoinGecko data into a consistent format before scoring
- cross-check several indicators and surface the disagreements
- spot price and volume divergences across a history
- keep machine-computed indicators apart from your own interpretation

## Example prompts
- run technical analysis on this OHLCV file
- normalize this CoinGecko export and compute the indicators
- show me where the indicators disagree on trend and momentum

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From the same set: [dkyazzentwatwa/chatgpt-skills](https://affpapa.org/en/nevibecode/by/dkyazzentwatwa/chatgpt-skills.md) — 4 cards

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md