Stockopedia is a web platform designed for real-time stock analysis, data visualization, and stock price prediction. It incorporates advanced machine learning techniques, including a Long Short-Term Memory (LSTM) model, to provide users with valuable insights into stock market trends.
-
Real-Time Stock Analysis: Stockopedia offers an intuitive user interface for real-time stock analysis, allowing users to track and analyze stock market data efficiently.
-
Data Visualization: The platform utilizes Chart.js for interactive data visualization, enabling users to explore historical stock data with ease.
-
Stock Price Prediction: We've trained an LSTM model on two decades' worth of historical data from the Yahoo Finance API. This model achieves an impressive 89% accuracy in stock price prediction, helping users make informed investment decisions.
To get started with Stockopedia, follow these steps:
- Clone the repository to your local machine.
- Install the required dependencies using
pip install -r requirements.txt. - Run the application using
python app.py. - Access the platform through your web browser at
http://localhost:5000.
- JavaScript
- Flask
- Chart.js
- Long Short-Term Memory (LSTM) Model
- Yahoo Finance API
For any questions or feedback, please contact Neel Vora (mailto:[email protected]).
Happy investing!