Amibroker Afl Code Page

// Adjust position sizing based on volatility for (sig = bo.GetFirstSignal(); sig; sig = bo.GetNextSignal())

The Plot() function is the cornerstone of visual indicators:

| Concept | Description | |---------|-------------| | | All data (Close, Open, Volume) are time-series arrays. | | Bar index | Refers to a specific bar (0 = first bar, BarCount-1 = last). | | Static variables | StaticVarGet , StaticVarSet retain values between bars. | | Lookback/forward | Ref(Array, -1) for previous bar; Ref(Array, +1) for future (caution). | | Buy/Sell/Short/Cover | Built-in arrays to define trading signals. | | SetPositionSize | Define position sizing rules. | | ApplyStop | Add stop-loss, profit target, or trailing stops. |

Let's move beyond the basics. Below is a complete system. amibroker afl code

Evaluating a strategy's historical performance (success ratio, drawdown, net profit).

PivotHigh = H > Ref(H, -1) AND H > Ref(H, 1); PlotShapes(PivotHigh * shapeHollowCircle, colorOrange, 0, H, 10);

BuyPrice = Close; // Execute at closing price SellPrice = Close; Use code with caution. 3. Handling Position Sizing AFL allows you to define strict money management rules. PositionSize = -10; // Allocate 10% of equity per trade Use code with caution. Common Use Cases for AFL Code // Adjust position sizing based on volatility for (sig = bo

This code buys when price touches the lower band in an uptrend.

The simplest way to use AFL is to plot data on a chart. To do this, you use the Plot() and Param() functions. Basic Indicator Code Example

This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. | | Lookback/forward | Ref(Array, -1) for previous

currentPos = 0; StaticVarSet("MyPosition", 0);

The is a highly optimized, array-based programming language used to build automated trading systems, custom technical indicators, and high-speed backtests. Unlike loop-heavy languages, AFL processes entire arrays of data (like historical close prices) in a single operation, making it one of the fastest algorithmic trading platforms available. 1. Understand AFL Core Architecture and Array Processing

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