Modern traders use AI to accelerate writing AmiBroker AFL code. You can prompt:
"Write AmiBroker AFL code for a mean-reversion strategy. Buy when price is 2 standard deviations below the 20-period Bollinger Band. Sell when price touches the 20-period SMA. Include ATR-based trailing stop."
The AI will draft the code. However, you must check for: amibroker afl code
Never blindly trust AI-generated AFL. Always backtest.
Avoid curve-fitting. This snippet sets up WFO parameters: Modern traders use AI to accelerate writing AmiBroker
// --- Walk Forward Settings ---
OptimizeInSample = Param("In Sample Years", 5, 1, 20, 1);
OptimizeStep = Param("Step Years", 1, 1, 5, 1);
SetOption("Optimization", "WalkForward");
SetOption("OptimizationInSample", OptimizeInSample * 252); // Trading days
SetOption("OptimizationStep", OptimizeStep * 252);
This AFL code example demonstrates how to create a simple moving average crossover strategy. This strategy will plot two moving averages and generate buy/sell signals.
// Parameters
lengthFast = Param("Fast MA Length", 10, 2, 100, 1);
lengthSlow = Param("Slow MA Length", 30, 2, 100, 1);
// Input arrays
Close = C;
// Calculate moving averages
FastMA = EMA(Close, lengthFast);
SlowMA = EMA(Close, lengthSlow);
// Plot moving averages
Plot(FastMA, "Fast MA", colorRed);
Plot(SlowMA, "Slow MA", colorGreen);
// Conditions for buy and sell signals
BuySignal = Cross(FastMA, SlowMA);
SellSignal = Cross(SlowMA, FastMA);
// Plot buy and sell signals
PlotShapes(BuySignal * shapeLabelUp + SellSignal * shapeLabelDown,
BuySignal ? ColorGreen : ColorRed,
shapeLabel, "", 0, 0, -8);
// Alert conditions
Alert(BuySignal, "Buy Signal", "Sound ON", 1);
Alert(SellSignal, "Sell Signal", "Sound ON", 2);
// Exploration
AddColumn(BuySignal, "Buy", 1);
AddColumn(SellSignal, "Sell", 1);
The core of any system relies on defining two arrays: Buy and Sell. "Write AmiBroker AFL code for a mean-reversion strategy
Example Strategy: Buy when the 50-period Moving Average crosses above the 200-period MA. Sell when it crosses below.
// Define Moving Averages
MA_Short = MA(Close, 50);
MA_Long = MA(Close, 200);
// Generate Signals
Buy = Cross(MA_Short, MA_Long);
Sell = Cross(MA_Long, MA_Short);
// Visualizing Signals
PlotShapes(IIf(Buy, shapeUpArrow, shapeNone), colorGreen, 0, Low, -15);
PlotShapes(IIf(Sell, shapeDownArrow, shapeNone), colorRed, 0, High, -15);