Also called genetic algorithm
Evolutionary search
Seeding a population of settings, keeping the strongest, then mutating and recombining them over generations to home in on what works.
A fuller explanation of this one is still being written. The definition above is the short answer.
See also
- Grid search — Testing every combination of the settings you chose. Exhaustive and certain, and the count explodes as soon as you add a third or fourth knob.
- Random search — Sampling combinations at random instead of testing all of them. Cheap coverage of a space too large to walk, at the cost of possibly missing the best corner.
- Curve fitting — Tuning a strategy until it memorises one stretch of history. It produces beautiful backtests and no future returns, which is why results are held out and re-tested.
Educational content, not investment advice. Angie explains how a valuation is built so you can judge it yourself. What you do with that is your call.
