Amibroker Afl Code May 2026

// --- Alerts --- AlertIf(Buy, "", "Buy Signal", 1); AlertIf(Sell, "", "Sell Signal", 2);

// --- 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); amibroker afl code

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. // --- Alerts --- AlertIf(Buy, "", "Buy Signal",

// --- Exit Conditions --- SellSignal = C > BBUpper OR C < (BuyPrice - (2 * ATR_Val)); Sell = ExRem(SellSignal, BuySignal); // --- Exit Conditions --- SellSignal = C

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) .

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.

// --- Multi-Timeframe (Requires both charts open) --- TimeFrameSet(inHourly); // Switch to hourly HourlyTrend = MA(C, 50) > Ref(MA(C, 50), -1); TimeFrameRestore(); // Expand the hourly signal to 5-minute bars HourlyTrendExp = TimeFrameExpand(HourlyTrend, inHourly, expandFirst);