For portfolio-level money management or tracking consecutive wins/losses, you need static variables. These persist across symbols in a backtest.
Always test for historical index membership when using rotational strategies on index constituents. Without this check, you introduce a significant lookahead bias that makes backtest results appear far better than achievable in live trading. Data providers offering historical index membership data are essential for accurate rotational testing.
In the world of quantitative trading and systematic strategy development, few platforms offer the depth and flexibility of , paired with its remarkably powerful scripting language— AFL (AmiBroker Formula Language) . For traders and quantitative analysts alike, writing clean, efficient, and insightful AFL code is a pathway to transforming raw market data into actionable trading systems, custom indicators, and comprehensive market scans. amibroker afl code
AFL allows you to define exactly how much capital to risk per trade.
Instead of manually modifying settings in the user interface, enforce system settings directly inside your AFL code using the SetOption() function. Without this check, you introduce a significant lookahead
Yes, AFL can be used to generate signals that can be sent to trading APIs, including those used by Indian brokers like Zerodha and Fyers, for automated execution.
Creates customizable sliders in the interface for variables. Plot() : Draws lines, histograms, or shapes on the chart. C. Example: Simple Moving Average Crossover AFL For traders and quantitative analysts alike, writing clean,
// --- Inputs --- DonchianPeriod = Param("Donchian Period", 20, 5, 50, 1); RSILen = Param("RSI Length", 14, 5, 30, 1); RSI_Threshold = Param("RSI Min", 50, 30, 70, 1); ExitMAPeriod = Param("Exit MA Period", 10, 5, 50, 1);
AFL uses reserved logical signals to simulate buying and selling. By defining these specific variables, AmiBroker’s Analysis engine can track performance, drawdowns, and profitability. The standard execution signals are: : Rule for entering a long position. Sell : Rule for exiting a long position. Short : Rule for entering a short position. Cover : Rule for exiting a short position. Here is a complete, backtest-ready crossover strategy: