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Creating a proper write-up for verified AmiBroker Formula Language (AFL) code involves more than just sharing the script. To help others understand, use, and trust your code, it is best practice to provide clear context, logic explanations, and usage instructions. 1. Verification & Header Information Before sharing your code on official platforms like the AmiBroker Forum , ensure you have your "Verified Badge"
. This badge identifies you as a legitimate license holder, which increases trust and engagement from the community. AmiBroker Community Forum
At the top of your AFL file, include a header section using comments ( Project Name : A descriptive title for the formula. Version/Date : Current version and date of the last update. : Your name or forum handle.
: A 1-2 sentence summary of what the code does (e.g., "Calculates the closing value needed to reach a specific RSI target"). 2. Logical Documentation A "proper" write-up explains the behind your code. Algorithm Steps
: Outline the trading plan or mathematical logic. Avoid relying on "gut feeling" and instead document the parameters for Buy/Sell decisions Function Descriptions : If you use custom functions , explain their inputs and outputs. Variable Scoping : If you use
or global variables, clarify where they are defined to help others avoid "uninitialized variable" errors. AmiBroker Community Forum 3. Usage Instructions Help users implement the code by describing: Calling custom user functions in our code - AmiBroker
"Verified" AmiBroker Formula Language (AFL) code refers to scripts that have undergone formal testing to ensure they are free of syntax errors, logically sound, and perform accurately against historical data. In professional trading, verification is the critical bridge between a conceptual strategy and live market execution, minimizing the risk of costly coding mistakes. Core Verification Methods
To confirm an AFL script is "verified," traders and developers typically use these three layers of testing:
Syntax & Structure Check: The AmiBroker AFL Editor includes built-in tools to "prettify" code, which uncovers hidden indentation errors and structural issues in the program flow.
Visual Debugging: Using the AFL Debugger, developers can step through code line-by-line, set breakpoints, and watch variable values in real-time to verify that the logic matches the intended strategy.
Backtesting & Stability Checks: A verified code must prove robust during backtesting across different market conditions. This includes verifying that small parameter changes do not lead to drastic performance failures (stability check). Benefits of Using Verified AFL Code amibroker afl code verified
Reduced Risk: Verified code prevents common errors like "future leaks" (using future data to predict the past) that lead to misleadingly high backtest results.
Automated Accuracy: Once verified, these scripts can be used in AmiBroker's Analysis window to scan entire watchlists for live entry and exit signals with high reliability.
Performance Optimization: Verified code often uses vectorized machine code, allowing it to run at speeds comparable to assembly language for rapid large-scale data processing. Professional Resources
If you are looking for pre-verified templates or expert review, several reputable sources provide high-quality AFL code:
Expert Consulting: Services like Alvarez Quant Trading offer professional verification and testing of custom trading strategies.
AFL Libraries: Historical repositories like StockManiacs have previously offered collections of pre-built, tested codes, though many users now rely on the official AmiBroker documentation for function reference.
AmiBroker Formula Language ( ) is a C-style array-based language used to create custom indicators
, backtests, and explorations [0.2]. To produce a "proper article" with verified code, you must structure your formula to handle data arrays efficiently and include essential AmiBroker functions for signal generation and visualization. 1. Essential Article Structure for AFL
A high-quality AFL article should follow a standard template to ensure the code is readable and functional: Header Section _SECTION_BEGIN _SECTION_END to identify the block in the Chart. Parameters : Allow users to customize settings via the Logic (Conditions) : Define your entry ( ) and exit ( ) rules clearly using array comparisons. Visualization function to draw the indicator on the chart. Exploration to make the code usable in the Analysis window. AmiBroker Community Forum 2. Verified Base AFL Template
Below is a verified structure for a simple Moving Average Crossover strategy that you can adapt for your article: Creating a proper write-up for verified AmiBroker Formula
_SECTION_BEGIN("Verified Strategy Article");
// 1. User Inputs period1 = Param("Fast MA", 10, 1, 100, 1); period2 = Param("Slow MA", 20, 1, 200, 1);
// 2. Core Logic (Calculations) fastMA = MA(Close, period1); slowMA = MA(Close, period2);
// 3. Buy/Sell Signals Buy = Cross(fastMA, slowMA); Sell = Cross(slowMA, fastMA);
// 4. Visualization Plot(Close, "Price", colorDefault, styleCandle); Plot(fastMA, "Fast MA", colorRed, styleLine); Plot(slowMA, "Slow MA", colorBlue, styleLine);
// 5. Signal Icons PlotShapes(IIf(Buy, shapeUpArrow, shapeNone), colorGreen, 0, L, -15); PlotShapes(IIf(Sell, shapeDownArrow, shapeNone), colorRed, 0, H, -15);
// 6. Exploration (for Scan/Analysis) Filter = Buy OR Sell; AddColumn(Close, "Close Price"); AddTextColumn(WriteIf(Buy, "BUY", "SELL"), "Signal", 1, colorWhite, IIf(Buy, colorGreen, colorRed));
_SECTION_END(); Use code with caution. Copied to clipboard 3. Implementation Steps To verify and run this code: When and how often AFL code is executed? - AmiBroker
// Check 1: No future bar used in signal Assert( Buy == 0 OR BarIndex() < LastBarIndex(), "Buy signal uses current bar only" );// Check 2: No repainting (requires second pass, see Section 6) Assert( StaticVarGet("SignalStable") == Buy, "Repaint detected" ); Part 3: Data Verification (Numerical Debugging) Visuals can
// Check 3: Price for execution is known Assert( BuyPrice > 0, "Invalid buy price" );
Visuals can be deceiving. You need to verify the exact numbers behind the calculations.
Run Backtest with SetOption("AllowSameBarExit", False) initially to avoid unrealistic trades.
Check:
Ref(..., -1) without enough history.SetPositionSize.The first step to a verified code is ensuring the Amibroker engine can read it.
Whether you write your own code or purchase it from a third party, use this strict verification protocol.
In the world of quantitative trading, AmiBroker stands as a colossus. Its native scripting language, the AmiBroker Formula Language (AFL) , is one of the most powerful, flexible, and fastest backtesting tools available to retail traders.
However, there is a silent killer of trading accounts that has nothing to do with market volatility: unverified AFL code.
Searching for the exact phrase "AmiBroker AFL code verified" is not just a technical chore; it is a risk management ritual. In this article, we will dissect what "verified" truly means, why 90% of free scripts fail verification, and how to perform a full-spectrum audit on your trading systems.
For a given small data set (e.g., 10 bars of known OHLC), manually compute expected outputs for your AFL logic, then compare with exploration output.
Steps:
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