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

  1. Install dependencies.
  2. Run train_model.py to train.
  3. Run predict.py to forecast.
Project

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

  1. Install dependencies.
  2. Run train_model.py to train.
  3. Run predict.py to forecast.

Technologies Used

Python
Keras
TensorFlow

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