• Ch Harshavardhan
• B. Siddhartha
• T Rahul
• N Pavan Kumar
• A Ravi Kumar

A stock market is an open market or public market for buying and selling shares for publicly listed companies. Different types of stocks are known for equities and ownership in the company. Mediator for buying and selling of shares monitored by the stock exchange. The share market hugely impacts customers, businessmen, and financial institutions. In present days, advanced technologies are used for data classification and analysis purposes. Using technical models in financial institutions for price prediction, investment opportunities, investment portfolio optimization, etc. Our present research uses machine learning models for prediction for financial trend analysis. It shows a comprehensive review of practical applications of machine learning models. A Mean Squared Error (MSE) value of 77.58 for an ensemble model combining Linear Regression, Ridge Regression, and Elastic Net suggests that the algorithm's predictions exhibit a moderate level of error when compared to the true target values.

"HYBRID MACHINE LEARNING ALGORITHMS BASED ON STOCK PRICE PREDICTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.i542-i548, April-2024, Available :http://www.jetir.org/papers/JETIR2404872.pdf

"HYBRID MACHINE LEARNING ALGORITHMS BASED ON STOCK PRICE PREDICTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppi542-i548, April-2024, Available at : http://www.jetir.org/papers/JETIR2404872.pdf