if (Sell AND currentPos == 1) { currentPos = 0; StaticVarSet("MyPosition", 0); } Using AmiBroker’s DDE or COM interface , you can bridge to Interactive Brokers, Tradier, or a custom API.
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
// 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: if (Sell AND currentPos == 1) { currentPos
// 5-min Entry logic Buy = Cross(RSI(14), 30) AND HourlyTrendExp; Sell = Cross(80, RSI(14)); Exploration allows you to output historical values into
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) .