LSTMs (Long Short Term Memory) RNN for prediction of price trends

Oct 22, 2021 1 min read

Price Prediction with Recurrent Neural Networks LSTMs

BTC-USD price prediction with deep learning algorithm. Artificial Neural Networks specifically LSTMs(Long Short Term Memory) RNN algorithm was implimented with pytorch deep learning framework and trained on BTC-USD dataset with data samples dating from 2014 up to 2020.

Pictorial View of the Test Result

Libraries Used

pandas

Numpy

Pickle

Sci-KitLearn

Matplotlib

tqdm

Pytorch Deep Learning Framework

Install Requirement Files

clone the repository or download the ‘requirement.txt’ files, then open terminal in the working directory and type

‘pip install -r requirements.txt’

to install all the requirements for this project.

GitHub

John was the first writer to have joined pythonawesome.com. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate.

LSTMs (Long Short Term Memory) RNN for prediction of price trends

Price Prediction with Recurrent Neural Networks LSTMs

Pictorial View of the Test Result

Libraries Used

Install Requirement Files

‘pip install -r requirements.txt’

GitHub

John

Train a state-of-the-art yolov3 object detector from scratch

Imitate Moulinette written in Python

Price Prediction with Recurrent Neural Networks LSTMs

Pictorial View of the Test Result

Libraries Used

Install Requirement Files

‘pip install -r requirements.txt’

GitHub

Train a state-of-the-art yolov3 object detector from scratch

Imitate Moulinette written in Python

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