Amibroker Afl Code

AFL is often described as a hybrid between C-language syntax and array-processing languages. Its primary strength is its vectorized processing engine.

In traditional programming (like Python with loops), a programmer might write a loop to check a condition for every single day in a chart. In AFL, operations are performed on entire arrays (columns of data) simultaneously.

Example: If you write Close > Open, Amibroker evaluates this comparison for every bar in the database instantly, returning an array of "True/False" results. amibroker afl code

AFL allows detailed control over portfolio management through the SetOption and PositionSize variables.

SetOption("InitialEquity", 10000);   // Starting Capital
SetOption("MinShares", 1);           // Minimum shares per trade
PositionSize = 10;                   // Invest 10% of current equity
// PositionSize = -20;               // Invest 20% of equity (negative sign defines %)

| Feature | Description | |---------|-------------| | Array processing | All variables represent time series (e.g., Close[0] = today, Close[1] = yesterday) | | No explicit loops needed | Most operations are implicitly vectorized | | Tick-based execution | AFL code runs for every bar in a chart or backtest | | Static variables | Used to preserve values between bar iterations when explicit loops are needed | | Built-in database | OHLCV, Open Interest, and auxiliary data | AFL is often described as a hybrid between

// Simple Moving Average
SMA(Close, 14);
// Relative Strength Index (RSI)
RSI(14);
// Custom indicator
MyIndicator = (Close - MA(Close, 20)) / MA(Close, 20) * 100;
Plot(MyIndicator, "My Oscillator", colorRed, styleLine);
 Example: If you write Close > Open ,