Stock Return Prediction using Machine Learning-Based Techniques
نویسندگان
چکیده
منابع مشابه
Stock Price Prediction using Machine Learning and Swarm Intelligence
Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...
متن کاملEfficient Machine Learning Techniques for Stock Market Prediction
Stock market prediction is forever important issue for investor. Computer science plays vital role to solve this problem. From the evolution of machine learning, people from this area are busy to solve this problem effectively. Many different techniques are used to build predicting system. This research describes different state of the art techniques used for stock forecasting and compare them ...
متن کاملGene Prediction Using Machine Learning Techniques
The basic purpose of the research work aims at predicting the genes of interest in molecular sequence databases using machine learning techniques like neural networks, decision trees, data mining, hidden markov models etc The primary focus of the research will be on proposing new or improving already existing ab initio and homology based methods for gene prediction. The proposed methods will be...
متن کاملPredicting stock market index using fusion of machine learning techniques
The paper focuses on the task of predicting future values of stock market index. Two indices namely CNX Nifty and S&P Bombay Stock Exchange (BSE) Sensex from Indian stock markets are selected for experimental evaluation. Experiments are based on 10 years of historical data of these two indices. The predictions are made for 1–10, 15 and 30 days in advance. The paper proposes two stage fusion app...
متن کاملUsing Machine Learning Techniques for Performance Prediction on Multi-Cores
Sharing of resources by the cores of multi-core processors brings performance issues for the system. Majority of the shared resources belong to memory hierarchy sub-system of the processors such as last level caches, prefetchers and memory buses. Programs co-running on the cores of a multi-core processor may interfere with each other due to usage of such shared resources. Such interference caus...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Science and Technology: Issue on Information and Communications Technology
سال: 2020
ISSN: 1859-1531
DOI: 10.31130/ict-ud.2020.122