Abstract
The Stock market is a key player in determining the financial facet of any nation’s growth. The stock market is predominantly driven by the companies whose stocks rise and fall depending on various parameters, thus making it volatile and complex in nature. The need of stock market analysis is driven by the huge demand to predict stock prices so as to facilitate the investors in selecting the best trading chance accurately in advance, thereby bringing in high profit. The dynamic time warping algorithm (DTW) is used to explore the best investment strategy using technical indicators and predict the stock price based on the same. DTW is used for stock market prediction because it measures similarities among various market patterns and offers investment strategies using technical indicators.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
