// Define moving averages FastMA = MA(Close, 10); SlowMA = MA(Close, 30); // Define Buy/Sell rules using the Cross function Buy = Cross(FastMA, SlowMA); Sell = Cross(SlowMA, FastMA); // Visualizing on the chart Plot(Close, "Price", colorDefault, styleCandle); Plot(FastMA, "Fast MA", colorRed); Plot(SlowMA, "Slow MA", colorBlue); // Add arrows for signals PlotShapes(IIf(Buy, shapeUpArrow, shapeNone), colorGreen, 0, L, -15); PlotShapes(IIf(Sell, shapeDownArrow, shapeNone), colorRed, 0, H, -15); Use code with caution. 2. Advanced Risk Management & Position Sizing
AFL uses standard identifiers for price data: Open , High , Low , Close , Volume , and OpenInt (abbreviated as O , H , L , C , V , OI ).
Using SectionBegin and SectionEnd is recommended to organize code into logical blocks. Practical Examples of AFL Code 1. Creating a Simple Moving Average Crossover Strategy amibroker afl code
is a high-performance scripting language used to create custom technical indicators, backtest trading strategies, and automate trade execution. Its syntax is similar to C and JScript but optimized specifically for financial data, featuring powerful array-processing capabilities that allow complex calculations to run at near-machine speeds. Core Components of AFL
AFL operates primarily on , which are sequences of data points (like daily closing prices). Instead of writing slow loops to process every bar, AFL allows you to perform operations on the entire array at once. // Define moving averages FastMA = MA(Close, 10);
The Analysis Window uses AFL code to run historical simulations, providing performance metrics like win rate and drawdown.
PositionSize = 1000; // Invest $1000 per trade . Using SectionBegin and SectionEnd is recommended to organize
This common strategy generates a "Buy" signal when a fast-moving average crosses above a slow-moving average and a "Sell" signal when it crosses below.