Uses deep learning recurrent neural networks to model Bitcoin closing prices. One model uses fear and greed indicators while the second uses a window of closing prices.
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Updated
Aug 10, 2022 - Jupyter Notebook
Uses deep learning recurrent neural networks to model Bitcoin closing prices. One model uses fear and greed indicators while the second uses a window of closing prices.
Use deep learning recurrent neural networks to model bitcoin closing prices.
This repository contains a Generative Adversarial Network (GAN) model designed to predict the closing prices in the financial market. The GAN utilizes a combination of generator and discriminator networks to generate synthetic closing price data, which can be used for forecasting and analysis purposes.
Deep learning recurrent neural networks to model bitcoin closing prices. use the FNG indicators to predict the closing price.
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