Using only backtesting (in-sample) and out-of-sample testing is not enough to develop robust algorithmic trading strategy. Only walk-forward testing allows you to get real-world solutions.
The user-friendly interface allows you to do all the steps of trading strategy testing at the click of a button. This makes it accessible even for those who are somewhat familiar with MATLAB.
Using MATLAB language and Toolboxes (Machine Learning, Econometrics, Neural Network etc.) gives you access to all of the sophisticated models you might need for developing advanced strategy.
You can load intraday and daily historical data for almost every type of assets: stocks, futures, bonds, forex, crypto etc. Data sources: Alpha Vantage, IQFeed, OANDA, MetaTrader 4, Interactive Brokers. Read more…