While charts are visual, the Analysis Window is where data mining happens. The AddColumn function allows users to export specific data to a spreadsheet view.
Code for Scanning the Market:
Filter = Close > MA(Close, 200); // Only show stocks trading above 200 MA
AddColumn(Close, "Close Price");
AddColumn(Volume, "Volume");
This allows a trader to filter thousands of stocks in seconds to find setups.
| Category | Examples |
|----------|----------|
| Math | abs, sqrt, log, exp, sin, cos, atan2 |
| Indicators | RSI, MACD, BBandTop, ATR, SAR |
| Bar analysis | Cross, ZigZag, Peak, Trough |
| Timing | TimeNum, DateNum, DayOfWeek |
| System | Buy, Sell, Short, Cover, ApplyStop |
| Output | Plot, PlotShapes, AddColumn, AddTextColumn |
Would you like a deeper dive into any specific section, such as optimization techniques or writing robust backtesting templates?
AmiBroker Formula Language (AFL) is the proprietary scripting language used by AmiBroker, a high-performance technical analysis and charting software. It is designed to allow traders to create custom indicators, scan for trading opportunities, perform backtesting, and automate trading systems. While it shares some syntactic similarities with C and C++, it is a specialized array-processing language optimized for financial data.
The core strength of AFL lies in its ability to handle "arrays"—collections of data points representing price (Open, High, Low, Close) or volume over time. Unlike traditional programming languages that require loops to process each data point individually, AFL performs operations on entire arrays simultaneously. This makes it incredibly fast, allowing users to backtest complex strategies across thousands of tickers in seconds. The Foundation of AFL: Arrays and Variables
In AFL, most variables represent arrays. For example, the variable Close is not just the last price; it is a list of every closing price in the current chart’s history. When you write a statement like Avg = (High + Low) / 2;, AmiBroker calculates the average for every single bar in the database at once. Standard built-in variables include: O, H, L, C, V: Open, High, Low, Close, and Volume. Color: Used for graphical customization.
Buy, Sell, Short, Cover: Reserved variables used to trigger trading signals. Built-in Functions and Technical Indicators
AFL comes with hundreds of pre-defined functions for technical analysis. These range from simple moving averages to complex statistical tools: MA(Array, Periods): Simple Moving Average. RSI(Periods): Relative Strength Index. StochD(Period, KPeriod, SPeriod): Stochastic Oscillator.
IIf(Condition, TrueArray, FalseArray): An "Immediate IF" function used for conditional array processing. The Analysis Engine: Scanning and Backtesting
The most common use of AFL is defining rules for entering and exiting trades. A simple trend-following system might look like this:
FastMA = MA(C, 10); SlowMA = MA(C, 50); Buy = Cross(FastMA, SlowMA); Sell = Cross(SlowMA, FastMA); Use code with caution. Copied to clipboard Once these rules are defined, they can be used in:
Scanning: Finding tickers that currently meet the "Buy" criteria. Exploration: Generating custom reports and tables of data.
Backtesting: Simulating the strategy on historical data to see how it would have performed, including metrics like Drawdown, Sharpe Ratio, and Net Profit. Advanced Features: Flow Control and Customization
While array processing is the default, AFL also supports standard programming constructs like if-else statements, for and while loops, and user-defined functions. These are essential for "path-dependent" logic, such as trailing stops or complex money management rules that cannot be calculated using arrays alone.
Furthermore, the language includes powerful graphical functions like Plot() and PlotShapes(). These allow traders to visually represent their indicators and signals on the chart, making it easier to verify that the code is behaving as intended. Optimization and Validation amibroker afl code
AFL includes an "Optimizer" that allows traders to find the best parameters for their strategies (e.g., finding whether a 10-day or 20-day moving average works better). However, AmiBroker emphasizes the importance of Walk-Forward Testing and Monte Carlo simulation to ensure that the strategy is robust and not merely "curve-fitted" to historical noise. Conclusion
AmiBroker Formula Language is a professional-grade tool that bridges the gap between simple charting and institutional-level quantitative analysis. Its array-based architecture provides unmatched speed, while its flexibility allows for the creation of virtually any trading logic imaginable. For the modern systematic trader, mastering AFL is a gateway to high-speed data processing and disciplined, rule-based trading.
If you would like to move forward with a specific project, let me know: Basic indicator (e.g., custom MACD or RSI)
Scan/Exploration code (e.g., finding stocks hitting 52-week highs)
Backtest logic (e.g., moving average crossover with a trailing stop) Automation (e.g., connecting to a broker API)
AI responses may include mistakes. For financial advice, consult a professional. Learn more
Unlocking Trading Strategies with AmiBroker Formula Language (AFL)
AmiBroker Formula Language (AFL) is a high-performance programming language used to build custom indicators, scan for market opportunities, and backtest complex trading systems within the AmiBroker platform. Designed with a syntax similar to C and JScript, AFL is optimized for speed by minimizing the need for manual loops, making it an essential tool for quantitative traders. Core Functions of AFL Code
Traders use AFL to automate almost every aspect of their technical analysis:
Amibroker – 20 Essential Things You Should Know Before You Start
A proper review of AmiBroker Formula Language (AFL) code requires evaluating both the technical soundness of the script and its practical effectiveness for trading. AmiBroker Community Forum 1. Reviewing Technical Soundness
Ensure the code is robust and efficient by checking the following: AFL Syntax and Logic: Verify that the code follows proper AFL syntax and that logic for is correctly defined. Variable Scope:
Ensure variables are appropriately scoped and initialized to prevent unexpected values during execution. Array Handling: Since AFL is array-based, verify that functions like are applied correctly to historical data arrays. Optimization of "Foreign" Data: SetForeign()
is used correctly for index filters or cross-symbol analysis without causing data alignment issues. Debugging: Use built-in tools like to log variable values and the AFL Debugger to step through the logic. AmiBroker Community Forum 2. Evaluating Trading Strategy Performance
A good review must assess if the strategy is viable in a live market environment:
Since you requested a "paper" on Amibroker AFL Code, I have structured this response as a comprehensive technical guide or white paper. It covers the architecture, syntax, and practical application of the Amibroker Formula Language (AFL). While charts are visual, the Analysis Window is
RSIperiod = 14;
Cond = RSI(RSIperiod) > 70;
Filter = Cond;
AddColumn(C, "Close");
AddColumn(RSI(RSIperiod), "RSI");
AFL is deceptively simple yet infinitely deep. The code snippets in this article range from beginner to expert. Your job is to copy them, break them, fix them, and eventually invent your own.
Whether you are trading futures, forex, or a basket of tech stocks, mastering AmiBroker AFL code gives you a direct line to the market’s hidden inefficiencies.
Next Steps:
Disclaimer: Trading involves financial risk. Past backtest performance does not guarantee future results. Always verify AFL code in a paper trading environment before live execution.
AmiBroker Formula Language (AFL) is a high-level, array-based programming language designed specifically for developing trading systems and technical analysis indicators. It serves as the engine for
, allowing traders to define entry and exit rules, automate scans, and perform high-speed backtesting. The Role of AFL in Algorithmic Trading Array-Based Processing
: Unlike traditional programming languages that process data point-by-point, AFL operates on entire arrays (time series) of data simultaneously. This makes it exceptionally fast for processing years of historical stock data in seconds. Versatility : AFL is used for four primary tasks: Indicators
: Creating custom visual overlays or oscillators (e.g., a personalized MACD or RSI). Scans and Explorations
: Screening thousands of symbols to find those meeting specific criteria, like a Volume-based signal Backtesting
: Testing a strategy against historical data to determine its profitability and risk. Automation : Sending signals to execution platforms for Algo trading Key Components of an AFL Script
A typical AFL script consists of several standard variables and functions that define the logic: Buy/Sell/Short/Cover
: These are reserved variables that tell AmiBroker when to enter or exit a position. For example, Buy = Cross(Close, MA(Close, 20));
triggers a buy signal when the price crosses above its 20-day moving average. : Used to draw lines, clouds, or shapes on the chart.
: Generates "Guru Commentaries" that provide text-based insights based on the current chart state.
: A critical function used to remove excessive signals, ensuring that a "Buy" signal doesn't repeat every day while a position is already open. Practical Implementation To use an AFL script, it must be placed in the AmiBroker Formulas directory (typically AmiBroker/Formulas/Custom
). Once saved, it can be dragged onto a chart or selected in the window for backtesting. This allows a trader to filter thousands of
Here’s a detailed write-up on Amibroker AFL (Analysis Formula Language) code, including what it is, key features, common use cases, and a sample code example.
This example provides a foundational understanding of writing AFL code for Amibroker. You can expand on this by adding more complex indicators, strategies, or integrating functions according to your trading needs.
AmiBroker Formula Language (AFL) is the backbone of the platform, designed for technical analysis, strategy development, and algorithmic trading. Unlike general-purpose languages, AFL is an array-based language
, making it exceptionally efficient for processing historical financial data and generating trading signals. 1. The Core Philosophy of AFL
At its heart, AFL operates on arrays—lists of numbers representing prices (Open, High, Low, Close) or volumes over time. This structure allows traders to write complex mathematical formulas with minimal code. Instead of using slow loops to process every bar in a chart, AFL performs operations on entire arrays simultaneously, which significantly boosts execution speed during backtesting. 2. Key Components of AFL Coding Indicators
: AFL allows users to create custom visual tools, such as moving averages, RSI, or MACD, to identify market trends. Trading Systems : Developers use AFL to define
rules, forming the foundation of automated trading strategies. Explorations
: This feature acts as a powerful scanner, filtering thousands of stocks based on specific AFL criteria (e.g., "Find all stocks with a volume spike over 200%"). Backtesting
: AFL enables rigorous testing of strategies against historical data to evaluate performance metrics like CAGR and Drawdown. 3. Syntax and Structure
AFL syntax is similar to C, using variables, functions, and logical operators. For example, a simple trend-following signal might be written as:
Buy = Cross( Close, MA( Close, 20 ) ); // Buy when price crosses above its 20-day Moving Average Sell = Cross( MA( Close, 20 ), Close ); // Sell when price crosses below Use code with caution. Copied to clipboard
This simplicity allows even non-programmers to translate trading ideas into executable code relatively quickly. 4. Advanced Capabilities For professional developers, AFL supports: DLL Integration
: Users can extend AFL’s functionality by calling external C++ DLLs for complex calculations. Automation
: AFL can be linked with broker APIs (like Interactive Brokers) to execute trades automatically based on real-time signals. Custom Charting : Beyond math, AFL provides extensive functions to create highly customized visual interfaces. www.freelancer.co.ke 5. Why AFL Matters to Traders
In modern markets, speed and objectivity are vital. AFL provides a structured environment to remove emotional bias from trading by forcing a quantitative approach. By mastering AFL, traders can transform subjective chart reading into a systematic, testable, and scalable business model. If you'd like, I can: specific AFL code template for a strategy (like Mean Reversion or Breakout). essential AFL functions every beginner should learn. Explain how to install and run your first AFL script in AmiBroker. Let me know which trading concept you'd like to automate!
AI responses may include mistakes. For financial advice, consult a professional. Learn more AFL Reference Manual - AmiBroker
Creating an Amibroker AFL (Amibroker Formula Language) code can range from simple to very complex, depending on what you're trying to achieve. Without a specific request, I'll demonstrate how to create a basic AFL code for a trading strategy and then provide some insights into more complex aspects.