Lab Sistem Trading

What We Actually Know

The balance sheet after nine modules of method: one mechanism edge across four pairs, four instances explicitly labelled weaker, eighteen rejections, a kill switch that trims rather than rescues, and the list of things we still do not know.

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Do Not Test This Again

Pairs, sessions and timeframes are finite sets, and finishing one is a result. How a timeframe curve tells you the axis is closed, how four studies of scheduled events composed into a single rule, and why a rejection note should say what would have to change before you test it again.

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Retuning Is Not Diagnosis

When a result disappoints, the optimiser will always find better parameters — which is why it is the wrong first move. Measurement artifacts, clock assumptions, control arms, improvements that are only leverage, and the case where the losses are the mechanism.

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The Track Record Starts at One

Live is the one window you cannot re-run or retune. The bug that made every backtest run a different program, a reporting pipeline that cannot lose a trade, the divergences nobody warns you about — and our own record, published from its first trade rather than its thirtieth.

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A Bad Day Is Not a Bad Strategy

Three layers decide whether an EA may trade at all, watching three different lengths of time: this bar, today, and this quarter. Session and spread gates, account-level caps that count currencies rather than symbols, and the rolling profit factor that notices when a regime edge stops working.

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Every Failure Must Fail Toward Zero

Sizing is the only code in an EA that can end the account in one order. Lot size from real tick values, why risk-based sizing must refuse rather than round up, the floating-point bug that eats a whole volume step, and what happens when the broker widens the stop you already sized for.

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