Overview
There is no established benchmark for evaluating the quality of synthetic financial data in quantitative trading, making it difficult to assess its reliability and effectiveness. This project aims to develop quality metrics tailored to quantitative trading and establish a comprehensive benchmark. By assessing fidelity, diversity, and utility, we will create a robust framework for objectively evaluating and comparing synthetic data generation methods.
