A Hypothesis-First Framework for Systematic Trading Research
Summary
This course page presents a framework for systematic trading centered on identifying a plausible edge before building and evaluating a strategy. It argues that a strong backtest alone does not establish that a strategy is sound, and recommends formulating a hypothesis before gathering data and running tests. It also describes a process for assessing trading ideas, alongside practical study of market structure, strategy development, and risk management.
The course advertises four example strategies spanning equities, bonds, crypto, and volatility, with coding presented as useful but not the main focus. Its discussion of durable edges points to market participants’ incentives and risks they are willing to bear, including opportunities that may be too small for large institutions. The page supplies no performance evidence or detailed strategy rules, and explicitly says the material does not promise winning systems or guaranteed results. It is an outline of a research approach and course contents, rather than a demonstrated trading method.
Key ideas
- A plausible market edge should motivate a strategy before its backtest is built.
- A research process should move from a hypothesis to data analysis and then testing.
- Backtest quality alone does not establish that a strategy has a durable edge.
- Market structure and participants’ reasons for trading can help explain persistent opportunities.
- The page describes example strategies but provides no performance evidence or detailed rules.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.