Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
- Added metadata to SKILL.md for improved compatibility (includes emoji and requirements). - No changes to code or functionality. Documentation now conforms to Openclaw schema.
What This Skill Does
Queries volatility forecasts from Synthdata.co for crypto assets, commodities, and stock indices. Supports side-by-side asset comparison and Monte Carlo price simulations up to 24 hours out.
Combines current realized volatility, forecast volatility, and probabilistic simulation in one command instead of pulling those data points from separate sources.
When to use it
- Check BTC volatility before entering a position
- Compare ETH and SOL forecast volatility before options expiry
- Run a Monte Carlo simulation to estimate probable price range for gold
- Get a ranked overview of all tracked assets by current volatility
- Set up a daily cron job to push volatility reports to Slack or Telegram
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Compare Bitcoin and Ethereum volatility and simulate BTC price range for the next 12 hours
- 1Runs `python3 scripts/synth.py BTC ETH --compare` to fetch current and forecast volatility for both assets
- 2Displays a side-by-side table showing price, 24h change, current vol, avg realized vol, and forecast vol
- 3Identifies that BTC forecast vol is higher than its current realized vol, signaling a potential spike
- 4Runs `python3 scripts/synth.py BTC --simulate --hours 12 --paths 1000` to generate Monte Carlo price paths
- 5Returns probabilistic price range for BTC over the next 12 hours based on forecast volatility
Comparison table for BTC and ETH plus a Monte Carlo projection showing the 10th, 50th, and 90th percentile BTC price outcomes over 12 hours
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.