DATA_SCIENCE_PROJECT
Python
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Stock Price Prediction LSTM
Stock Price Prediction (LSTM)
Predicts future stock prices using Long Short-Term Memory (LSTM) recurrent neural networks.
Key Features
- Time-Series Analysis: Handles sequential financial data.
- Data Visualization: Candlestick charts and trend lines.
- Forecasting: Predicts closing price for the next N days.
- Backtesting: Validates model performance on historical data.
Technology Stack
- Deep Learning: Keras / TensorFlow
- Data Source: Yahoo Finance API (yfinance)
- Visualization: Plotly / Matplotlib
Installation
- Install dependencies.
- Run
train_model.pyto train. - Run
predict.pyto forecast.
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Project Description
Stock Price Prediction (LSTM)
Predicts future stock prices using Long Short-Term Memory (LSTM) recurrent neural networks.
Key Features
- Time-Series Analysis: Handles sequential financial data.
- Data Visualization: Candlestick charts and trend lines.
- Forecasting: Predicts closing price for the next N days.
- Backtesting: Validates model performance on historical data.
Technology Stack
- Deep Learning: Keras / TensorFlow
- Data Source: Yahoo Finance API (yfinance)
- Visualization: Plotly / Matplotlib
Installation
- Install dependencies.
- Run
train_model.pyto train. - Run
predict.pyto forecast.
Technologies Used
Python
Keras
TensorFlow
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