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Samsung Stock Forecast Model

  • This repository contains a project focused on market analysis and trend identification for Samsung Electronics stocks. The project involves the use of statistical and machine learning technique to analyze historical stock data, identify trends, and forecast future stock prices.

Models and Techniques

In this project, we used the following techniques for analysis and forecasting:

  • Moving Averages: To identify short-term and long-term trends.
  • Volume Price Trend (VPT): To analyze the relationship between stock price and trading volume.
  • Time Series Forecasting: Using Library Prophet for predicting future stock prices.

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