Discussing the article: "MetaTrader Meets Google Sheets with Pythonanywhere: A Guide to Secure Data Flow"
MetaQuotes:
Can perform same functions with MQL, why use Python?
Check out the new article: MetaTrader Meets Google Sheets with Pythonanywhere: A Guide to Secure Data Flow.
Author: Ramesh Maharjan
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Check out the new article: MetaTrader Meets Google Sheets with Pythonanywhere: A Guide to Secure Data Flow.
This article demonstrates a secure way to export MetaTrader data to Google Sheets. Google Sheet is the most valuable solution as it is cloud based and the data saved in there can be accessed anytime and from anywhere. So traders can access trading and related data exported to google sheet and do further analysis for future trading anytime and wherever they are at the moment.
Accessing and analyzing trading data is very important for traders of MetaTrader to avoid mistakes and to decide better in the future. There are built-in tools and functions for exporting data but they don't have capability to export to cloud services. Automatic exporting charts, history and log data to cloud services can be a significant approach for traders' decision making process.
There are different ways and tools to transfer data from MetaTrader to cloud solutions such as google sheets, some are free but less secure and some are secure but not free or with limited access. Finding an appropriate way for cloud exports which costs less can be a headache for traders focusing on benefitting by analyzing their traded data in their future trades.
Traders often lose important trades and other useful information as MetaTrader lacks an automatic backup system to cloud services. Traders struggle to get benefited in using data visualization and analysis tools that are readily available in the cloud. This article aims to show how data transfer from MetaTrader to Google sheets can be automated without extra costs and with high security and utilize the easily available solutions to have profitable future trades.
This article is an aid to such traders and developers looking for ways to transfer their data to some cloud solutions or storage. In this article I am going to explain how we can utilize freely available and secure tools like google service account keys and a proxy server hosted on a web based secure and free cloud platform called pythonanywhere.
Author: Ramesh Maharjan