A Trader’s Path from Trend Following to Options Arbitrage Research

Summary

This interview traces a trader’s progression from executing commodity orders to coding trading systems and researching algorithmic strategies. The subject describes developing trend detection and momentum systems with position sizing, then building a commodity trend-following strategy. He reports triple-digit returns in a year, but provides no underlying data, testing protocol, risk figures, or independent verification, so the account cannot establish that the result is repeatable.

The interview says that the strategy’s lower Sharpe ratio and slower realization of its expected returns motivated a search for approaches with higher risk-adjusted performance. The trader describes current research into mathematical option-pricing models to identify apparent mispricing and exploit it with hedges, as well as statistical arbitrage based on deviations from relationships among securities. These are descriptions of research directions rather than fully specified or validated strategies. The article is a personal career story and course testimonial, not a technical guide; it gives little detail on model assumptions, execution, costs, or risk controls.

Key ideas

• The trader began by coding trend detection and momentum systems with position sizing.
• He reports developing a commodity trend-following strategy, but the interview gives no supporting performance analysis.
• A lower Sharpe ratio and delayed realization of expected returns led him to seek other sources of alpha.
• His later research includes hedged option mispricing and statistical arbitrage between related securities.
• The interview does not specify the models, validation methods, transaction costs, or risk controls.

Tags

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