LiviaObongo
Published 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.
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LiviaObongo
Published article Generative Adversarial Networks (GANs) for Synthetic Data in Financial Modeling (Part 1): Introduction to GANs and Synthetic Data in Financial Modeling 
This article introduces traders to Generative Adversarial Networks (GANs) for generating Synthetic Financial data, addressing data limitations in model training. It covers GAN basics, python and MQL5 code implementations, and practical applications in finance, empowering traders to enhance model accuracy and robustness through synthetic data.
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