Param() : Exposes variables to the user-friendly "Parameters" window, removing the need to edit raw code to change variables.
Insert _TRACE("Variable X = " + WriteVal(X)); to print values to the Log window (View -> Log).
// Simple Moving Average SMA(Close, 14);
A good review must assess if the strategy is viable in a live market environment: amibroker afl code
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Start with the snippets in this article. Modify the parameters. Break the code on purpose to learn the error messages. And remember:
Finding the best parameters for a strategy, such as Moving Average periods. This link or copies made by others cannot be deleted
While AFL supports looping ( for , while ), it is rarely needed for standard indicators. Logic is typically handled via logical operators:
| Pattern | Example | |---------|---------| | (for recursive calc) | staticVar = StaticVarGet("var"); | | Bar indexing | Close[0] (current), Close[1] (previous) | | Conditional assignment | ma = IIf(BarIndex() > 20, MA(Close, 20), Null); | | Referencing future bars (for backtesting only) | Ref(Close, -5) | | Highest over N bars | HHV(High, 20) | | Lowest over N bars | LLV(Low, 20) |
AFL is a powerful language that, when mastered, unlocks the full potential of AmiBroker, allowing you to turn market ideas into robust, automated strategies. Whether you are building simple indicators or complex systems, learning the basics of AFL is the first step toward algorithmic trading success. Try again later
Creates customizable sliders in the interface for variables. Plot() : Draws lines, histograms, or shapes on the chart. C. Example: Simple Moving Average Crossover AFL
Position sizing dictates how much capital is allocated per trade.
AFL is designed for speed. Unlike languages that require slow loops to process price arrays, AFL treats data as arrays, enabling instantaneous calculations across thousands of bars. Basic Components Buy = Cross(Close, MA(Close, 20)); Functions: Plot(Close, "Price", colorDefault, styleCandle);