If you paid attention to the previous two articles you'll notice the big issue I had is programming models that could handle more independent variables, by this I mean dynamically handle more inputs because when it comes to creating strategies we are going to deal with hundreds of data, so we want to be sure that our models can cope with this demand. ---------------- Data Science and Machine Learning (Part 01): Linear RegressionData Science and Machine Learning (Part 02): ...
The total value of retail sales in Australia was up a seasonally adjusted 1.6 percent on month in March, the Australian Bureau of Statistics said on Tuesday - coming in at A$33.626 billion. For the first quarter of 2022, retail sales rose 1.2 percent on quarter to A$93.186 billion after jumping 7.9 percent in the three months prior. more...
In this new article, we will talk about a new concept in trading that we have to measure and know how to use it. This concept is volatility. Many tools can be used to measure the volatility and from these tools, one of the most popular tools is the Average True Range (ATR) technical indicator. When you know how the volatility is going, this can be changing the game like what we will see in this article as it will be one of the important factors ...
This is interesting indicator coded by Mladen: multi_pair_blau_tsi_2.1 indicator. The indicator (attached) is from the following MQL5 forum thread: https://www.mql5.com/en/forum/178416
This is a new article from our series in which we learn how to design trading systems based on simple strategies using the most commonly used technical indicators. We will start with detailed information about what the Commodity Channel Index (CCI), what it measures, how we can calculate it. When we understand the fundamentals and the roots of what we are doing, we will be able to use the tools more efficiently and find more ideas and insights ...
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