Stock Prediction Model using LSTM : https://stockify.streamlit.app/
Webapp built with Streamlit and powered by an LSTM Neural Network to analyze historical data and make predictions.
Data Source: Yahoo! Finance API
Stockify makes use of LSTM to offers a range of powerful features for users to explore and analyze stock data. Users can visualize historical stock data with interactive charts, the app predicts future stock prices, conveniently displayed alongside the latest price. To aid decision-making, the app provides actionable recommendations, suggesting whether to Go Long or Go Short based on the predicted stock price relative to the current price.
Additionally regressionModel.ipynb has achieved the following metrics by making use of the EMA Technical Indicator from pandas_ta and LinearRegression from sklearn
- Model Coefficients: 0.99477405
- Mean Absolute Error: 1.3993586688899753
- Coefficient of Determination ( R Squared ): 0.9982323224435351