Amibroker Afl — Code

// Adjust position sizing based on volatility for (sig = bo.GetFirstSignal(); sig; sig = bo.GetNextSignal()) { if (sig.IsEntry() AND sig.Symbol == "SPY") { volatility = ATR(10) / C; posSize = 10000 / volatility; // Inverse volatility sizing sig.PosSize = posSize; } } } Avoid curve-fitting. This snippet sets up WFO parameters:

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

// --- Alerts --- AlertIf(Buy, "", "Buy Signal", 1); AlertIf(Sell, "", "Sell Signal", 2); // Adjust position sizing based on volatility for (sig = bo

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 secret sauce behind this dominance is AFL

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

// --- 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);

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.