Machine Learning and Big Data in Quantitative Investing

May 31, 2019

Machine learning enables computers or machines to learn from data directly without being explicitly programmed. By nature, machine learning models can capture nonlinearities better than traditional models can. To extract valuable information hidden in a large dataset, you need to use modern tools for processing big data and machine learning together. Big data generally refers to a large volume of data that is hard to process using existing techniques that require in-memory computation. Data used in or stored by financial institutions that is typically considered big data includes: The most basic example of the role of data in finance is technical analysis in which the relationships among price, volume, and time are aggregated into technical indicators for predicting future movements in price.

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Sage IT is a business technology provider of innovative technology-driven solutions, products, services and resources. At Sage IT, we believe that success results from delivering high quality products and services while being responsible, flexible, and innovative. We offer a comprehensive range of IT products and services. These include: healthcare IT, business intelligence, analytics, data warehouse, integration solutions, web & mobile application development, cloud computing, big data, content management, testing, technology consulting, infrastructure & application support services. These services are offered through a unique onsite, offsite, offshore delivery model that helps our customers achieve rapid implementation, world-class quality and reduced costs. Sage IT, with over 12 years of experience in delivering proven solutions and strong domain knowledge, focuses on providing full life-cycle implementation of products and solutions with unparalleled support to its customers…

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