macd-moving-average-convergence-divergence
Calculate MACD from price data. Use when computing MACD/signal/histogram from a price series, spotting crossovers, reading momentum, or planning MACD-based entries.
ソース情報
- リポジトリ
- bytesagain/ai-skills
- ソースの最終更新活動
- 2026年3月26日 16:43
- 検出された SKILL.md の言語
- 英語
- スター
- 16
- フォーク
- 2
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SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- MACD — Moving Average Convergence Divergence
- description
- Calculate MACD from price data. Use when computing MACD/signal/histogram from a price series, spotting crossovers, reading momentum, or planning MACD-based entries.
- version
- 2.0.4
- author
- BytesAgain
- homepage
- https://bytesagain.com
- source
- https://github.com/bytesagain/ai-skills
- tags
- ["macd","trading","crypto","stocks","technical-analysis","finance","momentum"]
# MACD — Moving Average Convergence Divergence
Calculate MACD from price data. Compute EMA, MACD line, signal line, and histogram from a CSV or inline price series.
## Requirements
- bash 4+
- python3 (standard library only)
## Commands
### calculate
Calculate MACD from a comma-separated price series.
```bash
bash scripts/script.sh calculate "170.5,171.2,172.8,171.0,173.5,174.2,175.0,174.8,176.1,175.5,177.2,178.0,176.5,177.8,179.0,178.5,180.2,179.8,181.0,180.5,182.3,181.8,183.0,182.5,184.0,183.5"
```
### calculate-file
Calculate MACD from a CSV file (one price per line or column).
```bash
bash scripts/script.sh calculate-file prices.csv
```
### interpret
Interpret MACD, signal, and histogram values with trading signals.
```bash
bash scripts/script.sh interpret 1.25 0.80
```
### crossover
Explain crossover patterns and trading rules.
```bash
bash scripts/script.sh crossover
```
### histogram
MACD histogram analysis and momentum reading guide.
```bash
bash scripts/script.sh histogram
```
### strategies
MACD trading strategies with entry/exit rules.
```bash
bash scripts/script.sh strategies
```
### help
Show all commands.
```bash
bash scripts/script.sh help
```
## Output
- Computed MACD line, signal line, and histogram from real price data
- EMA values at each step
- Crossover and divergence signals
- Trading strategy frameworks
## Feedback
https://bytesagain.com/feedback/
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