This chapter made use of some of the trading signals we've seen in the previous chapters to build realistic and robust trend-following and mean reversion trading strategies. In addition, we went another step further and made those basic strategies more sophisticated by adding a volatility measure trading signal to make it more dynamic and adaptive to different market conditions. We also looked at a completely new form of trading strategy in the form of trading strategies dealing with economic releases and how to carry out the analysis for that flavor of trading strategies for our sample Non Farm Payroll data. Finally, we looked at our most sophisticated and complex trading strategy so far, which was the statistical arbitrage strategy, and applied it to CAD/USD with the major currency pairs as leading trading signals. We investigated in great detail how to quantify and parameterize the StatArb trading signal and trading strategy and visualized every step of that process and concluded that the trading strategy delivered excellent results for our data set.

In the next chapter, you will learn how to measure and manage the risk (market risk, operational risk, and software implementation bugs) of algorithmic strategies.