D

data-preprocessing

Company Ticker Predictor s designed to leverage deep learning for more accurate predictions of company ticker prices. This system uses a multi-layered LSTM model to capture temporal dependencies in historical data, making it particularly effective in handling sequential data and ticker market volatility. The entire prediction pipeline is integrated and deployed using Streamlit.