Amibroker Afl Code -

for(i=0; i<BarCount; i++) myArray[i] = MA(C, 200)[i];

Buy = C > MA(C, 20); // Buy when price above 20 MA Sell = C < MA(C, 20); // Sell when price below 20 MA When you run this in AmiBroker’s Analysis window, the software interprets the Buy array (1 for True, 0 for False) and executes trades. Let's move beyond the basics. Below is a complete Mean Reversion + Trend Filter system. The "Bollinger Band Bounce" Strategy This code buys when price touches the lower band in an uptrend. amibroker afl code

// --- Plotting for Visualization --- Plot(C, "Price", colorBlack, styleCandle); Plot(BBLower, "Lower Band", colorGreen, styleDots); Plot(BBUpper, "Upper Band", colorRed, styleDots); Plot(TrendMA, "200 MA", colorBlue, styleLine); for(i=0; i&lt;BarCount; i++) myArray[i] = MA(C, 200)[i]; Buy

Introduction: Why AFL is the Backbone of Quantitative Trading In the world of retail algorithmic trading, few platforms offer the perfect blend of power, speed, and customization like AmiBroker . For over two decades, professional traders and hobbyists alike have relied on AmiBroker for backtesting, scanning, and real-time trading. The secret sauce behind this dominance is AFL (AmiBroker Formula Language) . The "Bollinger Band Bounce" Strategy This code buys

// --- Entry Conditions --- BuySignal = C < BBLower AND C > TrendMA; // Price below lower band but above 200 MA Buy = ExRem(BuySignal, SellSignal); // Remove consecutive buy signals