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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.
The TA Developer toolbox integrates easily with other Matlab toolboxes. E.g. analyze data with the statistics toolbox or send trades directly to Interactive Brokers using the IB-Matlab toolbox.
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.
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