Create and backtest trading strategies with a simple and easy to use graphical user interface (GUI). Configure backtesting parameters like capital and position size directly in the GUI. Perform backtests of trading algorithms on a portfolio of stocks. You can focus on the trading strategy development and do not need to worry about writing backtesting code. Use the power of the Matlab programming language to create trading strategies. Use advanced statistical features for trading which are not available in other trading software. Use more than 70 standard technical indicators to perform technical analysis of stock and futures data. All technical indicators can be easily applied per drag&drop. Calculation of performance metrics like Annualized Return, Maximum Drawdown, Sharpe Ratio etc. If you need an unsupported metric, you can just code it yourself in Matlab.
The Technical Analysis (TA) Developer toolbox provides an easy to use graphical user interface to perform backtests of trading algorithms on a portfolio of stocks or futures directly in MATLAB. The toolbox provides more than 70 standard technical indicators which can be applied per drag and drop. Backtest results are displayed by the TA Developer toolbox in form of a statistics summary page, a detailed trade list, and an equity curve. The statistic summary shows common trading metrics like the Sharpe and Sortino Ratios. Backtests can be executed from the graphical user interface as well as the MATLAB command line.
TA Developer Toolbox - MATLAB Technical Analysis and Backtesting Toolbox (Requires MATLAB 2012a or later and the Microsoft .NET 4 Framework)