Stock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)
-
Updated
May 20, 2019 - Jupyter Notebook
Stock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)
I used a data-based approach to model nonlinear dynamic systems. Particularly, I used a two-layer PyTorch-based LSTM network.
Sequence Models coding assignments
KALI
Predicting scientific success with an LSTM Network after mining timeseries citation data from AMiner.org
Deep Learning with Keras and TensorFlow
Different methods by which stock prices can be predicted. Last Value Method. Moving Average. Linear Regression. Exponential Weighted Moving Average. Sequence Models
Add a description, image, and links to the lstm-network topic page so that developers can more easily learn about it.
To associate your repository with the lstm-network topic, visit your repo's landing page and select "manage topics."