Mastering AmiBroker AFL Code Verification: A Complete Guide to Bug-Free Algorithmic Trading
Before running tests, manually check the code:
and are ready for execution in charting, backtesting, or automated trading
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The formula is efficient, minimizing CPU usage and enabling fast backtesting. 2. Why You Should Only Use Verified AFL Code
This is the most common killer of trading strategies. Look-ahead bias occurs when your AFL code uses future data to make a past decision. For example:
AFL (AmiBroker Formula Language) is deceptively simple to write. However, writing code that runs is one thing; writing code that is mathematically sound, logically consistent, and free of “look-ahead bias” is another. This article dives deep into why verification is essential, how to audit AFL code like a professional, and where to find (or create) robust verified strategies. Mastering AmiBroker AFL Code Verification: A Complete Guide
// Verified RSI Strategy Template SetChartOptions(0,chartShowArrows|chartShowDates); _N(Title = StrFormat("NAME - INTERVAL DATE Open %g, Hi %g, Lo %g, Close %g (%.1f%%) VALUES", O, H, L, C, SelectedValue( ROC( C, 1 ) ) ));
Now that your script is properly structured, you may want to look into optimizing performance. Would you like to explore how to configure AmiBroker's to safely adjust your moving average periods without overfitting your data? Share public link
Never trust a backtest report blindly. Visually verify your code by plotting every structural component on a chart. Use Plot() to display entry and exit price targets. Can’t copy the link right now
Crucial function to eliminate multiple signals on the same trend.
: The "Verify Syntax" button in the Formula Editor returns "No errors found." 2. Core Components of Professional AFL Scripts
Run the AFL on a (e.g., All S&P 500 stocks) for the last 3 months.
| Class | Description | Example | |-------|-------------|---------| | | Using future data (t+1) to make decision at t | Ref(Close, +1) inside Buy condition | | Repaint | Signal changes after bar close due to dynamic values | ZigZag or Peak in real time | | Execution slippage | Assuming fill at bar open/close without realistic cost | BuyPrice = Open on same bar as signal | | Data snooping | Optimizing parameters that see entire dataset | Using LastValue(Cum(1)) inside parameter loop | | State corruption | Improper reset of static variables across symbols | StaticVarGet without StaticVarSet per symbol |