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Analyzing Market Responses To Boycott Movements

Kaggle

@kaggle.tesnimglen_analyzing_market_responses_to_boycott_movements

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Year-long historical data depicting the fluctuation of SBUX stock prices.

Dataset Description

Dataset has been curated for implementing state-of-the-art time series forecasting techniques on financial data. Build machine learning models for forecasting future stock prices of SBUX based on historical data and external factors such as boycott movements [1], economic indicators, and consumer sentiment. Explore how boycott movements affect investor sentiment and stock prices over time.

  • Time series forecasting using advanced machine learning techniques.
  • Analysis of the impact of boycott movements on investor sentiment and stock prices.
  • Development of predictive models to anticipate market trends and inform investment strategies.

[1] https://www.ft.com/content/d3995b6e-3b63-4f7b-958e-17f990975b20


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