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Comparing BTC and ETH Volatility Surfaces for Relative-Value Trades

Article Amberdata research

Summary

This article explains how to compare Bitcoin and Ether options volatility surfaces across strikes and expirations to identify relative-value trades. Traders can examine differences in implied-volatility level, skew, and term structure, then investigate whether a divergence reflects an asset-specific catalyst or a possible pricing dislocation. One proposed approach is a long/short volatility spread, sized and hedged to reduce exposure to broad market direction; the article gives buying one asset’s options while selling the other’s as an example.

The thesis may rely on temporary mispricing or on volatility relationships moving back toward historical patterns. The article also recommends considering catalysts, on-chain data, sentiment, and funding conditions, and describes futures or options hedges for managing exposure. It offers no empirical results, calibrated entry thresholds, or evidence that the BTC–ETH relationship reliably mean-reverts. Macro shocks or asset-specific events can widen spreads and cause losses, so the proposed setups require risk controls and independent testing.

Key ideas

  • Compare implied volatility across BTC and ETH strikes and expirations, including surface level, skew, and term structure.
  • A divergence may reflect an asset-specific catalyst or a temporary relative-pricing mismatch.
  • A long/short options spread can express a view on relative volatility while reducing broad directional exposure.
  • Position sizes and hedges can be adjusted using futures, options, or spot positions.
  • Macro shocks and distinct asset drivers can widen the spread, and the article provides no empirical validation of mean reversion.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.