Auto Sector Stock Price Trend Prediction using Decision Tree

The auto sector stock price trend is based on many national and international uncertain factors. It is challenging to predict the impact of such a factor on the stock price trend as the impact of the same factor varies at different points of time. In this research work, we are predicting the auto sector stock price trend using patterns in the historical data using a machine learning method.

• Publication year

  2020

• Venue

  International journal of recent technology and engineering

• Publication date

  2020-05-30

• Fields of study

  Not labeled

• Identifiers
  DOI 10.35940/ijrte.f9882.059120
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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