Walk-Forward Analysis Toolbox


The Easiest Way to 

Develop Algorithmic Trading Strategies in MATLAB


7 MB, .zip, Required: MATLAB R2012a +


Think About Your Strategy - WFAToolbox Takes The Rest

You don’t have to search free historical quotes all over the web or use extremely expensive data feeds. You can get 10,000+ tickers from 20+ Stock Exchanges from America, Europe, Asia, and Australia.

1. Load Free Data from Google Finance

You will not even have to think about hiring any specialist to realize one of your ideas in trading strategies, because you can do everything by yourself in around 10 minutes.

2. Write Strategy Code Following Easy Rules

You will avoid spending weeks and months creating your own testing and analyzing instruments for trading strategies due to the availability of parallelization of processes, genetic algorithms and visualizations of each stage of testing.

3. Perform Visual Walk-Forward Testing

You will not only rely on Sharp Ratio and Total Return in your actions - you will have in your hands more than 100 performance indicators, as well as 8 informative charts at your disposal.

4. Finish With Detailed Trading Portfolio Analysis

Easy-to-use GUI 

(User Interface)

Evolutionary (Genetic) Algorithms

Parallelization of processes technology will significantly reduce the amount of required computing resources for strategy optimization.

The user-friendly interface allows you to complete all the steps of trading strategy testing by just clicking a button.

Use evolutionary algorithms for fast and accurate optimization of multiple strategies.

Parallel Computing Optimization

Are You Ready to Give it a Try?

7 MB, .zip, Required: MATLAB R2012a +

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IMPORTANT: Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options futures or forex); therefore, you should not invest or risk money that you cannot afford to lose.

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