Would you like a deeper dive into any specific section, such as optimization techniques or writing robust backtesting templates?
// Built-in price arrays Open, High, Low, Close, Volume, OpenInt
When running explorations, always use Filter = Buy OR Sell; to ensure only actionable data outputs to your result screens, saving system RAM. 6. Compare Core AFL Approaches Array-Based Processing Loop-Based Processing ( for / while ) Extremely High (Compiled C++ speeds) Slower (Interpreted bar-by-bar) Code Length Short, concise expressions Long, verbose blocks Complexity Easy for standard indicators Required for complex path-dependent variables Memory Usage Higher (Saves temporary arrays) Lower (Can process line-by-line values) 7. Advanced: Multi-Timeframe Integration amibroker afl code
Param() : Exposes variables to the user-friendly "Parameters" window, removing the need to edit raw code to change variables.
The Code Profiler (AFL Editor → Tools → Code Check & Profile) provides per-function timing reports, helping identify which calculations consume the most processing time. Would you like a deeper dive into any
// Calculate moving averages FastMA = EMA(Close, lengthFast); SlowMA = EMA(Close, lengthSlow);
Buy = Cross( MACD(), 0 ); Sell = Cross( 0, MACD() ); SlowMA = EMA(Close
: Users can extend AFL’s functionality by calling external C++ DLLs for complex calculations. Automation
// Section 1: Parameters (User adjustable) MAfastPeriod = Param("Fast MA Period", 10, 2, 50, 1); MAslowPeriod = Param("Slow MA Period", 30, 10, 200, 1);
). Constants represent fixed values, such as numeric integers or string literals like "Buy Signal" Predefined Price Arrays : AFL uses reserved keywords for standard price fields: : Supports arithmetic ( ), relational ( ), and logical ( ) operators. Built-in Functions
