In equities, volatility risk premium is ~3-5% and harvestable. In crypto, VRP swings wildly from -50% to +100%. You cannot determine if options are cheap or expensive.
Hypothesis HY10042
In equities, volatility risk premium is ~3-5% and harvestable. In crypto, VRP swings wildly from -50% to +100%. You cannot determine if options are cheap or expensive.
Trading hypothesis
What traders get wrong
False assumption:
"Volatility risk premium is predictable (3-5% annualized)."
Truth:
Impossible to determine if options are cheap or expensive. VRP is completely unstable.
Problem for trader:
Selling 'expensive' options might mean selling before 3x vol spike. 'Fair value' is unknowable.
Key takeaways
What you should consider as a trader
- VRP is not stable - Ranges from -50% to +100%.
- IV often undershoots - Realized vol often exceeds implied.
- Regime dependence extreme - VRP in bull vs bear varies 10x.
- No arbitrage-free pricing - Delta-hedging is impossible with gaps.
- DVOL isn't enough - Can't determine fair IV without knowing future RV.
Data you need
Navigate VRP uncertainty
Data points:
- IV-RV spread tracking
- VRP regime indicator
- IV percentile rank
- Mispricing alerts
Comparison of data sources
Where to get crucial data feeds
| Source | Availability | Notes |
| Deribit DVOL | ⚠️ Partial | Current IV, no VRP analysis. |
| Genesis Volatility | ⚠️ Partial | Good historical, no regime detection. |
| **Madjik** | ✅ Yes | 🚀 Get API Access Now |
Available metrics for this hypothesis:
| Metric | Description | Change dimensions | Time dimensions | How to use | API spec |
| `ME10013` | Volatility & risk | • Absolute Value (value) • Relative Change (relchg) • Score 0-100 (score) | • Current (now) • Past 24 Hours (past24h) • Past 7 Days (past7d) • Past 30 Days (past30d) | Example | API |
| `ME10016` | Regime detection | • Absolute Value (value) • Relative Change (relchg) • Score 0-100 (score) | • Current (now) • Past 7 Days (past7d) • Past 30 Days (past30d) | Example | API |
Clean data for AI, A2A, MCP, etc.
Science behind hypothesis
Research supports this hypothesis
Research shows crypto VRP has coefficient of variation 3-5x higher than equity VRP.
Bottom line
If you can't price options correctly, you can't trade them profitably. Real-time VRP analysis helps you identify actual mispricing vs model error. Madjik tracks IV-RV spreads with regime context, so you know when options are genuinely cheap or expensive.
Practical use
How to use this data in trading:
Combine these metrics for comprehensive analysis:
- ME10013 (Volatility & Risk): Trade IV-RV spreads, size positions using VaR, and select strategies based on volatility regime.
- ME10016 (Regime Detection): Select appropriate strategies (trend, mean reversion, volatility) based on detected market regime.
Detailed examples with Python code, AI agent integration (MCP/A2A), and risk analysis:
| `ME10013` | Volatility & Risk Trading Guide | Example → |
| `ME10016` | Regime Detection Trading Guide | Example → |
API Documentation: docs.madjik.io
For informational purposes only. Not financial, investment, tax, legal or other advice.