Code: Amibroker Afl

Generating actionable, text-based trading insights. 2. Fundamental AFL Syntax and Structure

The most important concept in AFL is that most functions operate on arrays (arrays of prices, volumes, etc.) automatically. // Calculate 14-period RSI myRSI = RSI(14); Use code with caution. 3. Creating Custom Indicators with AFL AFL allows you to plot anything you can calculate. Example: Custom Moving Average Crossover

This comprehensive guide breaks down the core concepts of AFL, provides practical code examples, and shares best practices for writing efficient, error-free code. 1. Introduction to AmiBroker Formula Language (AFL) amibroker afl code

Creating an Amibroker AFL (Amibroker Formula Language) code can range from simple to very complex, depending on what you're trying to achieve. Without a specific request, I'll demonstrate how to create a basic AFL code for a trading strategy and then provide some insights into more complex aspects.

Yet, in the hands of a disciplined mind, AFL becomes poetry. Consider a mean-reversion system on a 1-minute chart: Generating actionable, text-based trading insights

While array operations are preferred, loops are necessary for complex, path-dependent logic (e.g., custom money management).

ApplyStop() : Automates your risk management directly inside the testing architecture. 5. Writing Code for Scans and Explorations // Calculate 14-period RSI myRSI = RSI(14); Use

/*--- System Settings ---*/ SetOption( "InitialCapital", 100000 ); SetOption( "DefaultPositions", 5 ); // Max 5 open positions at once SetPositionSize( 20, spsPercentOfEquity ); // Allocate 20% equity per trade /*--- Trading Logic ---*/ RSI_Period = 14; RSI_Value = RSI( RSI_Period ); // Entry Rules Buy = RSI_Value < 30; // Buy when oversold Short = 0; // No shorting in this system // Exit Rules Sell = RSI_Value > 70; // Sell when overbought Cover = 0; /*--- Execution Filters ---*/ Buy = ExRem( Buy, Sell ); // Remove redundant buy signals Sell = ExRem( Sell, Buy ); // Remove redundant sell signals /*--- Chart Visuals ---*/ Plot( Close, "Price", colorDefault, styleBar ); PlotShapes( IIf( Buy, shapeUpArrow, shapeNone ), colorGreen, 0, Low, -15 ); PlotShapes( IIf( Sell, shapeDownArrow, shapeNone ), colorRed, 0, High, -15 ); Use code with caution. Crucial Functions for System Backtesting:

Exploration allows you to output historical values into a grid.

PivotHigh = H > Ref(H, -1) AND H > Ref(H, 1); PlotShapes(PivotHigh * shapeHollowCircle, colorOrange, 0, H, 10);