synth-data
Query volatility forecasts from Synthdata.co for crypto, commodities, and stocks. Compare assets and run Monte Carlo simulations.
Why use this skill?
Analyze crypto, commodity, and stock volatility with the synth-data skill. Perform Monte Carlo simulations, compare assets, and monitor risk levels with real-time forecast data.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/emsin44/synth-dataWhat This Skill Does
The synth-data skill provides professional-grade volatility analysis by interfacing directly with the Synthdata.co engine. It allows users to query, analyze, and forecast the risk profile of various digital and traditional assets. By leveraging this tool, you can retrieve real-time pricing data, compare asset correlations, and perform Monte Carlo simulations to visualize potential future price paths based on current market volatility data. Whether you are tracking cryptocurrency markets like Bitcoin and Ethereum or standard financial instruments like the S&P 500, this tool offers clear, color-coded indicators to help assess risk levels quickly. It is an essential asset for traders, risk managers, and quantitative analysts looking to make data-driven decisions based on historical realized volatility and future-forecasted trends.
Installation
To integrate this skill into your environment, use the OpenClaw management utility:
clawhub install openclaw/skills/skills/emsin44/synth-data
Once installed, ensure you have configured your environment variable to authenticate with the Synthdata API:
export SYNTHDATA_API_KEY=your_api_key_here
Verify your installation by running python3 scripts/synth.py --all to ensure the environment correctly displays the current market overview table.
Use Cases
- Risk Mitigation: Monitor asset volatility to rebalance portfolios during high-market-stress events.
- Options Trading: Identify discrepancies between realized and forecast volatility to find undervalued option premiums.
- Market Sentiment: Use the
--allflag to get a snapshot of systemic volatility across crypto and traditional indices. - Automated Alerts: Integrate the tool with cron jobs to receive daily summaries via messaging platforms, allowing you to react when specific assets cross defined volatility thresholds.
Example Prompts
- "Check the current volatility for Bitcoin and Ethereum and tell me which one is more stable right now."
- "Run a Monte Carlo simulation for NVIDIA stock for the next 12 hours to see the range of potential outcomes."
- "Show me the full overview of all assets and highlight the high-volatility ones."
Tips & Limitations
- Data Refresh: Note that forecast data relies on the Synthdata API update frequency. Do not use this as a source for high-frequency algorithmic execution.
- Simulation Window: Monte Carlo simulations are strictly capped at 24 hours to maintain forecast accuracy based on current volatility windows.
- Categorization: Use the provided asset list to ensure correct ticker usage (e.g., append 'X' for specific stocks like NVDAX).
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-emsin44-synth-data": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api, network-access