Exploration allows you to view your variables in a spreadsheet format. This is the standard for verifying backtest logic.
// 2. Out-of-Sample Check SetOption("AllowInSample", False); // Force Amibroker to ignore future bars
// WRONG – 'Close > Open' is an array of values if( Close > Open ) Color = 1; amibroker afl code verified
Raw mathematical cross-overs often generate consecutive Buy signals before a Sell signal occurs. This distorts backtest metrics and ruins position sizing calculations. Implementing ExRem() removes these redundant signals, verifying that a entry signal is only generated if the system is currently flat. 3. Step-by-Step AFL Verification Workflow
“AmiBroker AFL code verified” is more than a checklist. It is a culture of systematic checking that turns a promising script into a reliable trading system. Leveraging the built‑in syntax checker, Log Window, _TRACE() functions, the visual debugger, and backtest modes such as backtestRegularRawMulti gives you multiple layers of protection against hidden bugs. Exploration allows you to view your variables in
bo = GetBacktestObject(); bo.AddCustomMetric("Verification Pass", "Fwd Walk & Monte Carlo OK"); bo.AddCustomMetric("Max Corr w/ Market", Round(Correlation(ROC(Close,5), ROC(C,5), 60)*100));
For those ready to embark on this path, the official AmiBroker User's Guide is an essential reference. Start small, verify each component, and always question the results. That is how good systems are built, and it's how great traders are made. It incorporates best practices
// 2. Look-ahead check Plot(Ref(C, 1), "Future Close", colorRed); // If this improves your strategy, you have look-ahead bias.
// DANGEROUS – assumes at least 300 bars exist for( i = 0; i < 300; i++ ) x = Close[ i ];
Every verified AFL script should follow a strict, standardized template. This structure separates your settings, indicators, trading logic, and visualization, making the code much easier to debug.
Below is an example of a structurally sound, clean, and verified AFL code template designed for a classic Dual Moving Average Crossover strategy. It incorporates best practices, including parameterization, signal visualization, and trade execution hygiene.