Stock Trend Prediction using Machine Learning

Author(s)	Jai Singh, Saloni Sonkusare, Aniket Binewale, Shivam Kunwar, Shraddha Patle, Dr. Archana Potnurwar
Country	India
Abstract	This project can help investors make well-informed decisions, stock market prediction has been a focus of financial study. However, reliable forecasting is a difficult task because stock prices show highly volatile and nonlinear characteristics. The complex dependencies in stock market data are frequently missed by conventional statistical methods like linear regression and autoregressive integrated moving average (ARIMA). Deep learning methods, especially Long Short-Term Memory (LSTM) networks and Recurrent Neural Networks (RNNs), have been popular in recent years as efficient time-series forecasting tools.
Keywords	stock, machine learning, lstm,rnn, python
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-20
Cite This	Stock Trend Prediction using Machine Learning - Jai Singh, Saloni Sonkusare, Aniket Binewale, Shivam Kunwar, Shraddha Patle, Dr. Archana Potnurwar - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3868
DOI	https://doi.org/10.71097/IJSAT.v16.i2.3868
Short DOI	https://doi.org/g9gdtb

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