Construction of automated trading strategies based on market statistics.

This diploma thesis deals with the construction of automated trading strategies, which are built on the basis of market statistics. In the first part are shortly introduced the basic parameters of the E-mini S&P 500. In this chapter is also a detailed description of the process of creating a market statistics. In the second part is described a process of building a number of automated trading strategies. Optimization of these strategies is conducted on historical data. In the second part of this thesis is also shown a discretionary trading system based on market statistics. In order to demonstrate the robustness of automated trading strategies, they are tested on a sample of data outside of the optimization period. The result of the diploma thesis will be an evaluation of the trades and evaluation of the robustness of automated trading strategies