Trend Following with Rule-Based Signals and Accepted Stop Losses
Summary
This essay argues that trend following depends on choosing operational rules rather than discovering one universally correct definition of trend. It gives moving-average alignment and the Turtle system’s breakout rule—an upward break above a 20-day high, with the trend treated as active until a break below a 10-day low—as examples. Other indicators or trader-defined rules can also classify market direction, but each will mark different starts and ends. The author cautions against expecting a signal to predict a large move or avoid immediate reversals.
Because a trader cannot know a trend’s eventual size at entry, the essay frames each signal as a probabilistic opportunity: small moves may trigger a stop, while a sufficiently large move may pay for losses. It emphasizes accepting the stop-loss behavior implied by the chosen rules instead of repeatedly changing them to avoid ordinary losing trades. The piece offers practical reasoning, not test results, and does not specify position sizing, stop distances, or a complete implementation. Its guidance therefore describes a discipline for rule-based trend trading rather than evidence that any particular signal is profitable.
Key ideas
- Trend is observable, but its classification depends on the rule a trader chooses.
- Moving-average alignment and Turtle-style high–low breakouts are examples of trend rules.
- Different rule choices produce different trend start and end points.
- A signal cannot reveal in advance whether the resulting move will be large or small.
- The author argues that traders must accept rule-consistent stop losses instead of repeatedly altering the system to avoid them.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.