Walk-Forward Analysis Toolbox


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Version 1.1.2, requires MATLAB R2012b+

MATLAB® App for Advanced

Algorithmic Trading Strategies Development in Minutes, not Months


Think about your strategy - WFAToolbox takes the rest

1. Load Free Data from Google Finance

Now you don't have to search free quotations all over the web or use extremely expensive data sources. You can use 1000+ tickers from 19 Stock Exchanges from America, Europe and Asia.

2. Write Strategy Code Following Easy Rules

You will not even 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.

3. Perform Visual Walk-Forward Testing

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

4. Finish With Detailed Trading Portfolio Analysis

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.


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

Easy-to-use GUI 

(User Interface)

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

Evolutionary (Genetic) Algorithms

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

Global Optization

Parallel Computing Optimization

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