Discussing the article: "Integrating MQL5 with data processing packages (Part 1): Advanced Data analysis and Statistical Processing"
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Check out the new article: Integrating MQL5 with data processing packages (Part 1): Advanced Data analysis and Statistical Processing.
Integration enables seamless workflow where raw financial data from MQL5 can be imported into data processing packages like Jupyter Lab for advanced analysis including statistical testing.
After that you will now have to download the actual data. To do that you will have to navigate to > View and then to > Symbols and you will land on the Specifications tab simply navigate to > Bars or Ticks depending on what kind of data want to download. Proceed and enter the start and end date period of the historical data you want to download, after that click on the request button to download the data and save it in the .csv format.
After all those steps you would have successfully download historical data from your MetaTrader trading platform. Now you need to download and set up the Jupyter Lab environment for analysis. To download and set up Jupyter Lab you can head to their official website and follow simple step to download it. Depending on the type of operating system you use, you will have variety of options of whether to install using pip, conda or brew.
Author: Hlomohang John Borotho