: A series of floating-point numbers matching the data timeline.
The Code Profiler (AFL Editor → Tools → Code Check & Profile) provides per-function timing reports, helping identify which calculations consume the most processing time.
// Visualizing Signals PlotShapes(IIf(Buy, shapeUpArrow, shapeNone), colorGreen, 0, Low, -15); PlotShapes(IIf(Sell, shapeDownArrow, shapeNone), colorRed, 0, High, -15); amibroker afl code
Since you asked for an to write a blog post, the most interesting approach is to create a tool for Amibroker users. There is no native "Export to WordPress" function in Amibroker, so writing a script that generates a formatted HTML blog post based on your chart analysis is a powerful utility.
// 3. CHART VISUALIZATION SetChartOptions(0, chartShowArrows|chartShowDates); Plot(C, "Price", colorDefault, styleCandle); Plot(ShortMA, "EMA 9", colorYellow, styleLine); Plot(LongMA, "EMA 21", colorBlue, styleLine); : A series of floating-point numbers matching the
SetTradeDelays(1, 1, 1, 1); // Delay trades by 1 bar PositionSize = -10; // Use 10% of equity per trade Use code with caution. 5. Advanced AFL Techniques
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Unlike traditional programming languages that process data point-by-point, AFL processes arrays. Data points like Close, Open, High, Low, and Volume are pre-defined arrays.
// 2. TECHNICAL CALCULATION (Simple Strategy for Demo) // We use a simple Moving Average Crossover for the narrative ShortMA = EMA(C, 9); LongMA = EMA(C, 21); TrendUp = ShortMA > LongMA; TrendDown = ShortMA < LongMA;
// Parameters PeriodFast = 9; PeriodSlow = 21; StopLoss = 2; // percent
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