A Programmatic Framework for Options Data, Signals, Execution, and Risk
Summary
This article describes the infrastructure and workflow needed for systematic options trading. It emphasizes collecting and organizing data across many strikes and expiries, then computing pricing and volatility measures that can support historical analysis and live monitoring. It divides potential opportunities into put-call parity arbitrage, lower-risk volatility trades based on smile or term-structure dislocations, and directional strategies that adapt futures or CTA signals into option positions.
The execution section highlights simultaneous multi-leg order handling, including responses to partial fills, while the risk discussion distinguishes capital usage from monitoring exposure factors and adjusting hedged positions. The article is a conceptual overview rather than a tested trading system: it supplies no empirical performance results, detailed formulas, transaction-cost estimates, or operational specifications. Its descriptions of arbitrage and hedged trades should therefore be read as categories of possible strategies, not guarantees of profit or absence of risk.
Key ideas
- Options programs need organized data across expiries and strikes for efficient analysis.
- Pricing and volatility calculations can produce indicators for research and live monitoring.
- The article groups opportunities into parity arbitrage, volatility hedges, and directional trades.
- Multi-leg strategies require coordinated orders and handling for partial executions.
- Risk controls should reflect the exposure factors and capital needs of each strategy type.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.