Discussing the article: "Generative Adversarial Networks (GANs) for Synthetic Data in Financial Modeling (Part 2): Creating Synthetic Symbol for Testing"

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Check out the new article: Generative Adversarial Networks (GANs) for Synthetic Data in Financial Modeling (Part 2): Creating Synthetic Symbol for Testing.

In this article we are creating a synthetic symbol using a Generative Adversarial Network (GAN) involves generating realistic Financial data that mimics the behavior of actual market instruments, such as EURUSD. The GAN model learns patterns and volatility from historical market data and creates synthetic price data with similar characteristics.

Below is the chart window of our synthetic symbol "SYNTH_EURUSD":

The synthetic symbol needs verification against real market data once it has been built. The analysis uses statistical tests to check if the two sets of data stay true to their basic patterns. Our tests verify that simulated data behaves like actual market data which keeps trading platforms reliable. Below are the statistical methods applied:

Author: LiviaObongo