Use deep learning recurrent neural networks to model bitcoin closing prices.
-
Updated
Jan 25, 2021 - Jupyter Notebook
#
closing-prices
Here are 4 public repositories matching this topic...
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.
deep-learning bitcoin python3 recurrent-neural-networks fintech lstm lstm-neural-networks closing-prices bitcoin-price recurrent-neural-network lstm-neural-network bitcoin-prediction fng-indicators closing-price
-
Updated
Aug 10, 2022 - Jupyter Notebook
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.
machine-learning deep-learning neural-network generative-adversarial-network data-analysis closing-prices market-prediction financial-market
-
Updated
May 25, 2023 - Jupyter Notebook
Deep learning recurrent neural networks to model bitcoin closing prices. use the FNG indicators to predict the closing price.
-
Updated
May 19, 2021 - Jupyter Notebook
Improve this page
Add a description, image, and links to the closing-prices topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the closing-prices topic, visit your repo's landing page and select "manage topics."