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Blog for MATLAB users interested in algorithmic trading strategies, backtesting, pairs trading, statistical arbitrage etc. Wednesday, December 7, 2016. This post is about how important is to use different types of optimisation methods such as genetic algorithms and parallelisation to get results faster. When we almost surely know the trading strategy.
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Due to a merging on the web-server this site is hosted on some unintentional characters appeared in the posts. I am working on cleaning them up, but this will take some time. A step-by-step guide of an image segmentation task. A simple color segmentation example in MATLAB. Find local maximas of an 1d signal by convolution. Although there are some great built-in functions in MATLAB to find local maximas, in this post a simple, convolution-based approach.
Simulation of a Bouncing Ball. Building the Model Simulink provides a set of predefined blocks that you can combine to create a detailed block diagram of your system. Tools for hierarchical modeling, data management, and subsystem customization enable you to.