Ten Practical Guidelines for Programmatic Trading
Summary
The document offers practical guidance on using automated trading systems: limit strategy changes, choose a small set of instruments or approaches, keep positions controlled, and give a selected model time to operate. It emphasizes that a system is a tool reflecting its designer’s methods and preferences, and that trading rules should be paired with risk and capital management.
It also discusses adapting parameters and chart intervals to each instrument, recognizing that trend and range strategies tend to perform differently as market conditions change, and tolerating controlled losing periods without abandoning a system prematurely. These are general principles rather than a tested methodology: the document presents no performance data or evidence that its suggested portfolio size, position ranges, or evaluation period will suit a particular trader. It does not explain how to validate a model or distinguish a normal drawdown from a genuine failure, so its advice should be treated as a starting point for disciplined testing and risk control.
Key ideas
- Avoid frequent, reactive changes to instruments and strategies; make modest adjustments when conditions justify them.
- Use a limited combination of instruments or strategies and control the allocation to each.
- Match model parameters and chart intervals to the traded instrument, and follow the chosen interval consistently.
- Expect trend and range systems to have different strengths and weak periods as market conditions shift.
- Pair automated rules with risk and capital management, and choose systems that fit the trader’s own style.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.