AFL is an array-based language designed specifically for financial time-series data. Unlike traditional programming languages that require complex loops ( for or while ) to process historical price data, AFL handles entire data arrays natively. Key Characteristics of AFL
Always backtest.
// Assigning a simple moving average to a variable MyMovingAverage = MA( Close, 20 ); Use code with caution. The Plotting Function
If you want to tailor this framework to your trading goals, let me know: What specific you want to combine?
for(i=20; i<BarCount; i++)
It includes hundreds of pre-coded technical indicators, statistical tools, and graphical functions. 2. Understanding AFL Syntax and Data Types
// Alert conditions Alert(BuySignal, "Buy Signal", "Sound ON", 1); Alert(SellSignal, "Sell Signal", "Sound ON", 2);
: This feature acts as a powerful scanner, filtering thousands of stocks based on specific AFL criteria (e.g., "Find all stocks with a volume spike over 200%"). Backtesting
// Trail logic HighestSinceBuy = HHV(H, BarsSince(Buy == 1)); TrailStopLevel = HighestSinceBuy - (mult * ATRval); Sell = C < TrailStopLevel; amibroker afl code
Here is a script that plots the Close price and a custom Moving Average:
// Calculate Targets EntryPrice = C; // Using current Close for demo logic StopLoss = IIf(TrendUp, EntryPrice * (1 - StopLossPerc/100), EntryPrice * (1 + StopLossPerc/100)); Target1 = IIf(TrendUp, EntryPrice + (EntryPrice - StopLoss) * RiskReward, EntryPrice - (StopLoss - EntryPrice) * RiskReward);
// --- Exit Conditions --- SellSignal = C > BBUpper OR C < (BuyPrice - (2 * ATR_Val)); Sell = ExRem(SellSignal, BuySignal);
SetBarsRequired( 200, 0 ); // Requires 200 past bars, 0 future bars Use code with caution. 3. Use SetSortOrder and Filter out Unused Symbols AFL is an array-based language designed specifically for
The Ultimate Guide to AmiBroker AFL Code: From Basics to Advanced System Building
/*--- 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:
Building a custom visual indicator is the easiest way to practice AFL. Below is the code to plot a standard Dual Moving Average Crossover with custom colors and dynamic chart titles.