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Stock market prediction is the process of forecasting future values of stock prices based on
historical data, trends, and other relevant factors. It is an important area of study in finance
and economics as accurate predictions can help investors make informed decisions about
buying and selling stocks.
Various approaches and techniques are used for stock market prediction, including statistical
models, artificial intelligence, and machine learning algorithms. These methods analyze
historical data and patterns to identify trends and make predictions about future stock prices.
Weeks Advisor’s Report on group’s progress
1 Discussed the project
2 Survey on Stock Market
3 Machine Learning Algorithms
4 Introduction on LSTM
5 Implementation of LSTM
6 Work in progress
7
8
9
10
11
12
13
14
PG-45.pptx
PG-45.pptx

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PG-45.pptx

  • 1.
  • 2.
  • 3.
  • 4. Stock market prediction is the process of forecasting future values of stock prices based on historical data, trends, and other relevant factors. It is an important area of study in finance and economics as accurate predictions can help investors make informed decisions about buying and selling stocks. Various approaches and techniques are used for stock market prediction, including statistical models, artificial intelligence, and machine learning algorithms. These methods analyze historical data and patterns to identify trends and make predictions about future stock prices.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Weeks Advisor’s Report on group’s progress 1 Discussed the project 2 Survey on Stock Market 3 Machine Learning Algorithms 4 Introduction on LSTM 5 Implementation of LSTM 6 Work in progress 7 8 9 10 11 12 13 14