A technical analysis tool for AI agents to calculate and interpret Moving Average Convergence Divergence from price data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install macd
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install macd using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is MACD — Moving Average Convergence Divergence?
The MACD skill provides a robust framework for AI agents to perform technical analysis on financial time-series data. It allows for the calculation of the Moving Average Convergence Divergence line, the signal line, and the histogram, which are critical for identifying momentum and trend direction. By leveraging this tool within Openclaw Skills, developers can build agents capable of sophisticated market analysis without external heavy dependencies, as it relies only on standard bash and python environments.
MACD — Moving Average Convergence Divergence Use Cases
- Automating market momentum analysis for cryptocurrency or stock price series.
- Identifying bullish and bearish crossovers to trigger automated trading signals.
- Analyzing historical price data from CSV files to identify divergence patterns.
- Integrating technical indicator calculations into AI-driven financial research workflows.
How MACD — Moving Average Convergence Divergence Works
- The user inputs a comma-separated list of prices or provides a CSV file path.
- The skill processes the price series to compute Exponential Moving Averages (EMA).
- It calculates the MACD line by subtracting the long-term EMA from the short-term EMA.
- A signal line is derived from the EMA of the MACD line itself.
- The difference between the MACD and signal lines is calculated to produce the histogram.
- The tool outputs formatted technical data, including crossover analysis and strategic interpretations.
MACD — Moving Average Convergence Divergence Setup
This skill requires bash 4+ and python3. To begin using it within your Openclaw Skills setup, ensure the scripts are accessible in your environment.
# To calculate MACD from an inline series:
bash scripts/script.sh calculate "170.5,171.2,172.8,171.0,173.5"
# To process a file:
bash scripts/script.sh calculate-file prices.csv
MACD — Moving Average Convergence Divergence Data Schema & Taxonomy
The skill produces structured data outputs that categorize the technical state of the asset.
| Indicator | Description |
|---|---|
| EMA Values | Exponential Moving Averages calculated at each data point |
| MACD Line | The primary trend-following momentum indicator |
| Signal Line | An EMA of the MACD line used for signal triggers |
| Histogram | The difference between MACD and Signal lines, indicating momentum |
| Crossover Signals | Logical flags identifying when the MACD crosses the Signal line |
MACD — Moving Average Convergence Divergence Advanced Features
- Direct interpretation of MACD values to provide human-readable trading signals.
- Support for bulk processing via CSV file input for historical backtesting.
- Built-in strategy frameworks for entry and exit rule planning within Openclaw Skills.
- Momentum reading guides for interpreting histogram expansion and contraction.
SKILL.md
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