| 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 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 scripts/script.sh calculate-file prices.csv
interpret
Interpret MACD, signal, and histogram values with trading signals.
bash scripts/script.sh interpret 1.25 0.80
crossover
Explain crossover patterns and trading rules.
bash scripts/script.sh crossover
histogram
MACD histogram analysis and momentum reading guide.
bash scripts/script.sh histogram
strategies
MACD trading strategies with entry/exit rules.
bash scripts/script.sh strategies
help
Show all commands.
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
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