Stock Prediction Using Deep Learning Approach

Yogita Govardhan Suryavanshi; Megha Prakash Dhonde; Rasika Popat Jamdar

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Stock Prediction Using Deep Learning Approach

Yogita Govardhan Suryavanshi Megha Prakash Dhonde Rasika Popat Jamdar

Subject area: Science,Engineering and Technology · Area of research: Machine learning Deep Learning

Abstract

I am also using data processing Algorithm and we decide which side has an impact The easiest ending to predict the future.Stock market forecast Trying to determine the long-term value of the company Stocks and other financial products change. In the recent trend of Stock Market Prediction Technologies machine learning has integrated itself in the picture for deployment and prediction of training sets and data models.

References

[1] Analysis of Investor Sentiment and Stock Market Volatility Trend Based on Big Data Strategy Du Peng 2019 International Conference on Robots & Intelligent System (ICRIS).

[2] Combining of Random Forest Estimates using LS boost for Stock Market Index Prediction Nonita Sharma Akanksha Juneja 2017 2nd International Conference for Convergence in Technology (I2CT).

[3] Literature review on Artificial Neural Networks Techniques Application for Stock Market Prediction and as Decision Support Tools Muhammad Firdaus Swelandiah Endah Pratiwi.

How to cite this paper

Yogita Govardhan Suryavanshi, Megha Prakash Dhonde, Rasika Popat Jamdar "Stock Prediction Using Deep Learning Approach" Iconic Research And Engineering Journals Volume 5 Issue 11 2022 Page 93-95

Yogita Govardhan Suryavanshi, Megha Prakash Dhonde, Rasika Popat Jamdar "Stock Prediction Using Deep Learning Approach" Iconic Research And Engineering Journals, vol. 5, no. 11, May. 2022

Yogita Govardhan Suryavanshi, Megha Prakash Dhonde, Rasika Popat Jamdar (2022). Stock Prediction Using Deep Learning Approach. Iconic Research And Engineering Journals, 5(11).

Yogita Govardhan Suryavanshi, Megha Prakash Dhonde, Rasika Popat Jamdar "Stock Prediction Using Deep Learning Approach" Iconic Research And Engineering Journals, vol. 5, no. 11, May. 2022.

@article{1703432,
      author = {Yogita Govardhan Suryavanshi, Megha Prakash Dhonde, Rasika Popat Jamdar},
      title = {Stock Prediction Using Deep Learning Approach},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {5},
      number = {11},
      pages = {93-95},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703432.pdf},
      abstract = {I am also using data processing Algorithm and we decide which side has an impact The easiest ending to predict the future.Stock market forecast Trying to determine the long-term value of the company Stocks and other financial products change. In the recent trend of Stock Market Prediction Technologies machine learning has integrated itself in the picture for deployment and prediction of training sets and data models.},
      month = {May},
  }