Option Strategy Research: Data and Backtesting Challenges
Summary
This article outlines the engineering challenges of researching and backtesting systematic options strategies. Because listed contracts change over time, a historical test needs an accurate record of which contracts were available on each date. The described approach replays data for the full set of eligible contracts, aligns their timestamps into market snapshots, and maintains contract details such as expiry, strike, and option type so a strategy can select contracts dynamically by relative moneyness and maturity.
The article illustrates its discussion with a backtest of a dynamic spread strategy on CSI 300 index options, reporting returns, drawdown, risk-adjusted performance, trade frequency, and estimated slippage. These are author-reported historical results, not evidence of future profitability. It presents a dedicated options backtesting and live-trading module as one way to address the workflow, and distinguishes it from a volatility-monitoring and execution tool that leaves trading decisions to the user. The piece is an overview; it does not fully specify the strategy or data infrastructure.
Key ideas
- Historical options tests need contract records that track which instruments were listed and tradable on each date.
- Replaying all eligible contracts requires aligning option and underlying data into timestamped market snapshots.
- A strategy’s data layer must support dynamic contract selection using expiry, strike, option type, and moneyness.
- The cited spread-strategy backtest reports smooth returns and relatively low trading frequency, but historical performance does not establish future results.
- The article distinguishes systematic options strategy tooling from tools focused on volatility monitoring and execution.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.