Expectancy through loss cuts, add-ons, and bounded leverage

Treat a finished sample as history

A finished-sample expectancy figure is treated as a historical system metric. It is not a sound basis for projecting future results.

That figure is system-expectancy, a backward-looking result computed from a completed trade sample under a given position-sizing rule. Position sizing, also called money management, is the setting under which any system result was produced. It determines how large each loss or add-on is allowed to be.

Apply expectancy by cutting losses and enlarging winners

Expectancy is applied by cutting losses and enlarging winners rather than by relying on a calculated past number. Expected value, in this usage, is the working idea that long-run outcome is shaped by how losses are cut and how winners are enlarged, not by projecting a finished-sample average forward.

Enlarge winners only after they are working

Adding to a winning position by scaling in or reverse pyramiding is presented as the main controllable way to enlarge winners.

Pyramiding is a rule for adding to an already-winning position after it is working, including scale-in and reverse-pyramid add-ons, so winner size grows only under that condition.

Keep leverage inside an exposure bound

Leverage is framed as a way to increase exposure to winners while risk remains under active control.

Leverage control means keeping loss and exposure bounded before and during a trade while leverage is used to enlarge a winner, including substituting a large cash holding with a smaller outlay that still carries directional exposure. One described control is reducing a large cash equity holding and replacing that exposure with a long call position.

Where attention should go

Less backtesting of a system expectancy figure, and more attention to long-run loss cuts and winner add-ons, is the recommended emphasis.