Amibroker — Afl Code

Whether you are trading futures, forex, or a basket of tech stocks, mastering gives you a direct line to the market’s hidden inefficiencies.

RSI_14 = RSI(14); VolumeSurge = V > MA(V, 50) * 1.5; Filter = RSI_14 < 30 AND VolumeSurge; AddColumn(C, "Close", 1.2); AddColumn(RSI_14, "RSI", 1.2); AddColumn(V, "Volume", 1.0); Run this on 5,000 stocks. AmiBroker will return a list of only those meeting the criteria. Exploration allows you to output historical values into a grid. amibroker afl code

This article will serve as your encyclopedic guide. We will cover the syntax, logic, advanced scanning, portfolio backtesting, and real-time trading integration. Before writing sophisticated strategies, you must understand how AFL thinks. 1.1 Vector Processing vs. Iterative Looping Unlike Python or C++, AFL is inherently vector-based . This means an operation applies to the entire price array simultaneously. Whether you are trading futures, forex, or a

// --- 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); Exploration allows you to output historical values into

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

// Add custom metrics stats = bo.GetPerformanceStats(0); // 0 = Long positions maxDD = stats.GetValue("Max system % drawdown");

// 5-min Entry logic Buy = Cross(RSI(14), 30) AND HourlyTrendExp; Sell = Cross(80, RSI(14));