However, there is a silent killer of trading accounts that has nothing to do with market volatility:
// --- 5. EXITS (Volatility stop - Verified to prevent re-entry) --- Sell = Buy = 0; // Reset overrides Cover = Short = 0;
Without verification, they optimize opt1 , opt2 , and opt3 simultaneously over 10 years of data. The result? A beautifully curved-fit curve that fails next week. Verified code divides data into IS (in-sample) and OOS (out-of-sample) periods automatically. amibroker afl code verified
// VERIFIED CODE Short = 0; Sell = 0; Cover = 0; Buy = Cross(MACD(), Signal()); Short = Cross(Signal(), MACD());
SetChartOptions(0, chartShowDates); _SECTION_BEGIN("Trading Logic"); However, there is a silent killer of trading
Professionally authored books sometimes include verified AFL code that has been tested and replicated by readers. For instance, Urban Jaekle’s trading system books provide code examples that have been successfully replicated by the community, particularly when combined with consistent data sources like Norgate NDU. These sources carry a higher degree of implicit verification.
Many unverified scripts forget to reset trading states. A beautifully curved-fit curve that fails next week
By focusing on clean logic, rigorous backtesting, and the removal of future bias, you transform a simple script into a reliable financial tool.
These functions print debug messages to the system debugger or the internal Log Window.
Professional verifiers add timestamps: