Amibroker Afl Code -

As your code expands, optimizing for speed and clarity becomes essential.

/*--- System Settings ---*/ SetOption( "InitialCapital", 100000 ); SetOption( "DefaultPositions", 5 ); // Max 5 open positions at once SetPositionSize( 20, spsPercentOfEquity ); // Allocate 20% equity per trade /*--- Trading Logic ---*/ RSI_Period = 14; RSI_Value = RSI( RSI_Period ); // Entry Rules Buy = RSI_Value < 30; // Buy when oversold Short = 0; // No shorting in this system // Exit Rules Sell = RSI_Value > 70; // Sell when overbought Cover = 0; /*--- Execution Filters ---*/ Buy = ExRem( Buy, Sell ); // Remove redundant buy signals Sell = ExRem( Sell, Buy ); // Remove redundant sell signals /*--- Chart Visuals ---*/ Plot( Close, "Price", colorDefault, styleBar ); PlotShapes( IIf( Buy, shapeUpArrow, shapeNone ), colorGreen, 0, Low, -15 ); PlotShapes( IIf( Sell, shapeDownArrow, shapeNone ), colorRed, 0, High, -15 ); Use code with caution. Crucial Functions for System Backtesting:

You assign values to variables using the = operator. AFL automatically detects data types.

to build features based on market-wide breadth (e.g., number of stocks above their 200-day EMA). Stack Overflow Example: Multi-Indicator Composite Feature amibroker afl code

// --- Backtest Settings --- SetPositionSize(1, spsShares); // 1 share for testing SetOption("InitialEquity", 100000); SetOption("FuturesMode", False); SetOption("PriceBoundChecking", True);

This vectorization eliminates the need for slow for loops when executing basic indicators. The Execution Engine

Once a trading idea functions on paper, you must test its validity across thousands of data variations or historical tickers. Code Optimizations As your code expands, optimizing for speed and

In the end, AFL is not about the money. It is about the clarity. To write a line of code that survives the next 10,000 bars of unknown market data—that is a kind of immortality. A small, honest machine that watches price tick by tick, unmoved by CNBC, unafraid of the Fed, and utterly faithful to the logic you carved into its heart.

Use // for single lines or /* ... */ for blocks to describe logic intentions.

If you want to tailor this framework to your trading goals, let me know: What specific you want to combine? AFL automatically detects data types

AFL is designed specifically for financial data analysis. Its syntax is similar to C and JScript but optimized for speed, aiming to reduce the need for complex, slow loops by processing data in arrays.

Buy when the 50-period Moving Average crosses above the 200-period MA. Sell when it crosses below.

Mastering AmiBroker Formula Language (AFL): The Ultimate Guide to AFL Code

// Define the parameters for user customization ShortPeriod = Param("Short MA Period", 15, 5, 50, 1); LongPeriod = Param("Long MA Period", 45, 10, 200, 1); // Calculate the Moving Averages ShortMA = MA( Close, ShortPeriod ); LongMA = MA( Close, LongPeriod ); // Plot the price candles and the MA lines Plot( Close, "Price", colorDefault, styleCandle ); Plot( ShortMA, "Short MA", colorGreen, styleLine | styleThick ); Plot( LongMA, "Long MA", colorRed, styleLine ); // Dynamic Chart Title Title = StrFormat("NAME - INTERVAL DATE | Open %g, High %g, Low %g, Close %g | Short MA: %g, Long MA: %g", O, H, L, C, ShortMA, LongMA); Use code with caution. Key Functions Explained: