
Financial Time Series Reconstruction
A key challenge in financial modeling is the lack of high-resolution historical data. This project investigates whether missing time series can be reconstructed using fragmented public data and the movements of a correlated stock index.
A proof of concept was developed with data from the Warsaw Stock Exchange, and an open-source application with an API is available on GitHub.