A framework combining discrete wavelet transforms and temporal convolutional networks predicted continuous stock trends with 72.85 percent accuracy across 400 equities.
This repository contains an end-to-end system that predicts daily S&P 500 market direction using financial and political news headlines. The project combines natural language processing (NLP), machine ...
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