But AFL, in its cruel honesty, offers a function called WalkForward() or prompts you to use out-of-sample testing. Most ignore it. They fall into the curvature of overfitting, worshipping the ghost of past volatility. The deep truth: You can code a system that wins 99% of the time in-sample and loses everything live. The language is innocent. The trader is the fool.
// Section 2: Calculate Indicators FastMA = MA(C, MAfastPeriod); SlowMA = MA(C, MAslowPeriod); amibroker afl code
For more complex strategies, you might need to: But AFL, in its cruel honesty, offers a
Backtesting is where AFL truly shines. The default settings are good, but professional optimization requires custom metrics. The deep truth: You can code a system
Below is a complete AFL code for a classic strategy.
. It is highly optimized for array processing, allowing users to perform complex financial calculations at speeds comparable to assembly language. Core Components of AFL Identifiers & Constants
The Param function allows you to create adjustable parameters for the fast and slow moving averages through the Amibroker interface.