Low-latency rendering, even with thousands of bars on screen. AFL: The Language of Trading
Support for walk-forward optimization to prevent curve-fitting. Monte Carlo simulations to assess the probability of ruin.
AmiBroker 6.93 represents the latest evolution of one of the most powerful and efficient technical analysis platforms available to modern traders. For those seeking institutional-grade backtesting speeds and deep customization, this version introduces critical refinements to the AFL (AmiBroker Formula Language) engine and user interface. amibroker 6.93
With the latest refinements, AFL in 6.93 supports more granular control over trade execution and signal processing. Traders can write scripts to automate everything from simple moving average crossovers to complex machine learning-driven signals.
Instantaneous switching between timeframes (Intraday to Monthly). Overlay of multiple indicators with drag-and-drop ease. Customizable layers for technical drawings and annotations. Low-latency rendering, even with thousands of bars on screen
Improved responsiveness of the user interface during heavy data processing. Advanced Backtesting and Optimization
The core of this release focuses on optimizing data handling and multi-threaded execution. As financial markets become increasingly data-heavy, AmiBroker continues to lead the industry by allowing users to screen thousands of symbols in seconds—a feat that often takes minutes or even hours in competing software. Performance and Engine Enhancements AmiBroker 6
The 6.93 update brings significant improvements to the multi-threaded analysis engine. This allows the software to fully utilize modern multi-core processors, ensuring that backtests and optimizations are completed with maximum efficiency. Faster AFL execution for complex loops and arrays.
Whether you are a retail trader transitioning into quantitative analysis or a seasoned developer building complex high-frequency systems, AmiBroker 6.93 offers the stability and performance required to maintain a competitive edge.