A professional financial analysis tool for querying volatility forecasts and running Monte Carlo simulations across multiple asset classes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install synth-data
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 synth-data 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 Synthdata Volatility?
The Synthdata Volatility skill is a sophisticated technical integration designed to provide real-time volatility insights for traders and developers. As part of the broader ecosystem of Openclaw Skills, it connects directly to Synthdata.co to retrieve realized and forecasted volatility metrics for cryptocurrencies, commodities, and major stock indices.
This skill enables users to go beyond simple price tracking by offering deep probabilistic analysis. By synthesizing institutional-grade data, the skill allows for informed decision-making regarding risk management, position sizing, and options pricing. It is a vital component for anyone building automated trading workflows using Openclaw Skills.
Synthdata Volatility Use Cases
- Generate comprehensive market overviews to identify assets with the highest forecast volatility.
- Develop trading signals by identifying discrepancies between current realized volatility and future projections.
- Perform Monte Carlo simulations to visualize probabilistic price movements over a 24-hour window.
- Automate risk management alerts that trigger when specific volatility thresholds are breached.
- Create scheduled volatility reports for delivery via team communication platforms.
How Synthdata Volatility Works
- The skill initializes by authenticating with the Synthdata API using a secure environment variable.
- A user or agent invokes the script with specific asset tickers or analysis flags.
- The system fetches the latest market data, including current prices and volatility levels (Low to Extreme).
- If requested, the skill runs a Monte Carlo engine to simulate thousands of potential price paths based on forecast volatility.
- The processed data is returned as a structured report or JSON object for integration into other Openclaw Skills.
Synthdata Volatility Setup
To get started with this skill, ensure you have python3 installed and an active API key from Synthdata.co.
# Set your API environment variable
export SYNTHDATA_API_KEY=your_key_here
# Run a basic query for Bitcoin
python3 scripts/synth.py BTC
Synthdata Volatility Data Schema & Taxonomy
This skill utilizes a structured data model to ensure compatibility with other Openclaw Skills.
| Attribute | Description | Type |
|---|---|---|
| Ticker | The asset identifier (e.g., BTC, XAU, NVDAX) | String |
| Forecast Vol | The predicted volatility percentage for the next window | Float |
| Realized Vol | The average historical volatility | Float |
| Vol Level | Categorical risk rating (Low, Moderate, Elevated, High, Extreme) | String |
| Price | Current market price in USD | Float |
Synthdata Volatility Advanced Features
- Support for multi-asset comparison allows users to benchmark volatility across crypto and traditional indices simultaneously.
- Customizable Monte Carlo simulations supporting up to 1000 paths and variable hour durations (max 24h).
- Headless execution capabilities for integration into cron jobs and automated server-side reporting.
- Direct Python library access for building custom financial models within the Openclaw Skills framework.
SKILL.md
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