This repository combines rigorous data preprocessing, advanced feature engineering, and Random Forest-based modeling to predict stock prices with precision for UAE banks
-
Updated
Jan 14, 2025 - Jupyter Notebook
This repository combines rigorous data preprocessing, advanced feature engineering, and Random Forest-based modeling to predict stock prices with precision for UAE banks
The following repository contains Google Stock Price Prediction using Keras LSTM Model. The closing stock prices have been predicted based on the previous 5 years' data extracted from https://api.tiingo.com/.
Examining a number of different forecasting techniques to predict future stock returns based on past returns and numerical news indicators to construct a portfolio of multiple stocks in order to diversify the risk. This is done by applying supervised learning methods for stock price forecasting by interpreting the seemingly chaotic market data.
Real-Time Adaptive Multi-Modal Stock Prediction with Temporal Graph Attention and Dynamic Interaction Networks
Add a description, image, and links to the stockprice-forecasting topic page so that developers can more easily learn about it.
To associate your repository with the stockprice-forecasting topic, visit your repo's landing page and select "manage topics."