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SetBarsRequired(200, 50); // Only 200 historical, 50 future bars

AFL is more than just a scripting language; it's your direct line to customizing and controlling the powerful analysis engine within AmiBroker. Starting with array-based logic, writing clean and correct syntax, and gradually exploring features like the Custom Backtester will change how you develop and test strategies.

To create a comprehensive article, I need to cover introduction, basics, key functions, examples, strategies, optimization, debugging, resources, etc. The search results need to cover these aspects.

Many developers share AFL code on GitHub. One notable example is a Relative Price Strength script that calculates and ranks stocks across customizable timeframes while integrating sector and industry information.

Explain the for trading. Let me know what you'd like to explore next!

Quality Checklist for AFL Code (what to look for when evaluating a script)

To ensure accurate backtesting, define your execution prices.

ApplyStop( type, mode, amount, exitatstop, volatile = False, Reabsplace = 0 ); Use code with caution. 3 Key Stop Implementations

PositionSize = -25; // Invest 25% of current portfolio . Advanced Features in AmiBroker

Yet, in the hands of a disciplined mind, AFL becomes poetry. Consider a mean-reversion system on a 1-minute chart: