From Trading Experience to Quant Strategy Development
Summary
The document records a learner’s attempt to express past systematic futures trading in quantitative terms. Their prior methods were modified versions of Turtle trading and Aberration. They propose exploring a stock strategy that combines low price-to-earnings ratios, large-capitalization companies, and a long moving average above a short moving average, with medium- to high-frequency factors. They also want to consider risk controls and position sizing, but provide no precise definitions or test results.
The learner summarizes strategy development as forming factor ideas from market observations, testing the factors, tuning parameters, building the strategy with risk controls and backtesting, then paper trading before live deployment. They describe monitoring live performance and continuing to revise and optimize the strategy. This is a high-level workflow and exploratory proposal, not a fully specified or validated strategy; it gives no rules for universe selection, factor measurement, sizing, or evaluation.
Key ideas
- The learner draws on modified Turtle and Aberration approaches used in futures trading.
- The proposed stock screen combines low price-to-earnings ratios, large-cap stocks, and a long moving average above a short one.
- Risk controls, factors, and position sizing are identified as elements to develop further.
- The outlined workflow moves from factor ideas and testing to optimization, backtesting, and paper trading.
- Live deployment is followed by monitoring and ongoing revision, but no strategy results are presented.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.