GitHub

Inflation Forecasting with ARIMA and LSTM

A full-stack inflation-forecasting toolkit that pairs classical ARIMA diagnostics in Stata with an LSTM pipeline in Python. The project walks from raw CPI data ingestion and exploratory visualisation ...
GitHub

Stock Price Prediction using LSTM Neural Network

This project uses a Long Short-Term Memory (LSTM) neural network to predict stock prices using historical daily closing values. It downloads real financial data using the Yahoo Finance API.
IEEE

Hybrid SARIMA+BO-LSTM Framework for Forecasting EV Adoption: A Road to Net-Zero in Ireland

Abstract: Reducing greenhouse gas (GHG) emissions from the transport sector is central to achieving Ireland’s national climate goals. To support the Climate Action Plan target of registering 945,000 ...
IEEE

A Novel Approach to Farm Weather Prediction with Hybrid CNN, LSTM, and Attention Mechanisms

Abstract: This paper presents a comprehensive approach for forecasting weather parameters such as temperature, humidity, and wind speed, using ML and DL techniques. The dataset with weather data ...
Investopedia

Yield to Call: Definition, Calculation, and Implications

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...