This sequence keeps the creator grounded in real trading constraints instead of cosmetic signal stacking.
Choose a market, timeframe, and condition where the logic is intended to work. Broad ambition usually creates noisy rules.
If you cannot say what invalidates the setup at the same time you define the trigger, the rule is still too loose.
Configure position sizing, max exposure, and bot-level boundaries early so the backtest reflects the desk you actually want to run.
More conditions do not automatically mean better precision. Often they just make the idea harder to understand and easier to overfit.
A crossover rule buys when a fast average rises above a slow one and sells when it drops below. Move the fast length and watch the signals — and the whipsaws — change.
Do not optimize entries before defining exits.