A New Way To Trade Moving Averages — A Study in Python

Another Way to Extract Trading Signals From Moving Average Crosses.A New Way To Trade Moving Averages — A Study in Python

If I had a nickel for every possible strategy that can be formed around moving averages, I would be rich. The most basic form of technical indicators is the concept of a moving average. It is simple, quick, and effective in helping us with our trades and analyses. In this article, we will discuss the concept of crossovers from a different point of view.

We are familiar with the concept of having signals whenever a short-term moving average crosses a long-term moving average, however, if we want to extract more information from this technique, we can actually create an indicator that englobes more than one signal generation process. This indicator is very simple to calculate and understand. We will see it below in greater details.

If you are a fan of moving averages and their power, feel free to check out the below article that I have published to discuss more strategies:

Creating a Contrarian Indicator Using Moving Averages in Python.

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Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.