• S Govinda Rao

Algorithmic Trading is an automated trading system in which strategies, techniques and decisions are pre-programmed and executed based on market conditions. This type of trading became a widely valuable topic in the area of financial management and in modern artificial intelligence. Algorithmic Trading comes under the study of Artificial Intelligence, Data Science and Statistics. Machine learning models are becoming increasingly widespread in the study of algorithmic trading and investment management. Trading is a highly risky and uncertain task, where the price of stocks changes very frequently with time. Analysing the drastic changes of every stock is a nightmare for many traders. Stock market business has grown to such an extent which has never happened in history. This has become an imperative to the success of all the organisations of online trading business worldwide.

Algorithmic Trading, Linear Regression, Random Forest Classifier, Repeated K Fold,Momentum Strategy.

"PREDICT AND ANALYSE STOCK DATA USING MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 1, page no.799-802, January-2017, Available :http://www.jetir.org/papers/JETIR1701810.pdf

"PREDICT AND ANALYSE STOCK DATA USING MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 1, page no. pp799-802, January-2017, Available at : http://www.jetir.org/papers/JETIR1701810.pdf