Discussing the article: "Price-Driven CGI Model: Advanced Data Post-Processing and Implementation"

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Check out the new article: Price-Driven CGI Model: Advanced Data Post-Processing and Implementation.

In this article, we will explore the development of a fully customizable Price Data export script using MQL5, marking new advancements in the simulation of the Price Man CGI Model. We have implemented advanced refinement techniques to ensure that the data is user-friendly and optimized for animation purposes. Additionally, we will uncover the capabilities of Blender 3D in effectively working with and visualizing price data, demonstrating its potential for creating dynamic and engaging animations.

Previously, in the Price Driven CGI Model project, we exported price data from MetaTrader 5. However, we lacked control over the data features, requiring us to build a data manipulation algorithm to modify or filter it with specific formulas to suit our intended usage. Despite this, we successfully launched the Price Man CGI character and have preserved it as an image.

By using MQL5, we can develop a script to perform customized exports, simplifying post-processing. In this article, we will build a program to export our price data and discuss the practical application of the post-processed data to bring our character to life.

By the end of this article, our objectives are:

1. Build a custom program for exporting price data from MetaTrader 5.
2. Normalize the price data for use in other software programs.
3. Integrate the normalized price data with Blender 3D.
4. Understand how the data is further handled using Python in Blender 3D.

If you read to the end, you will see the animated Linear Graph editor of Price Man, with plots made using post-processed price data from MetaTrader 5 for the Volatility 25 Index. Here is a preview of the graph editor:

 

Author: Clemence Benjamin