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Competitive / Collaborative Statistical Learning Framework for Forecasting Intraday Stock Market Prices: A Case Study
2021
Studies in Informatics and Control
This paper presents an intelligent decision system based on statistical learning that regards the tactics of an investor in predicting the next intraday stock price. Significant percentages can be won or lost depending on the tactics applied for buying/selling shares. This paper includes a case study regarding the efficiency of a group of machine learning techniques that work together in a competitive/collaborative manner with a view to achieving an overall price forecast for the next intraday
doi:10.24846/v30i2y202104
fatcat:u7owo3bmffbfvjpwj5zhc2q5pa