Prakash Kumar SarangiDepartment of Computer Science NM Institute of Engineering and Technlogy Bhubaneswar IndiaBirendra Kumar NayakDepartment of Mathematics Utkal University Bhubaneswar IndiaSachidananda DehuriDepartment of Information and communication Technology Fakir Mohan University Balasore India...
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I Han,K Kim - 《Plant Signaling & Behavior》 被引量: 53发表: 1997年 Stock Market Prediction Using Multi Expression Programming The use of intelligent systems for stock market predictions has been widely established. In this paper, we introduce a genetic programming technique (calle... C Grosan...
Stock market behavior is extremely volatile and complex in nature due to the randomness of the governing parameters. This makes attaining a high degree of accuracy in stock market forecasting extremely challenging. Several techniques have been explored to forecast stock market behavior while aiming to ...
stock behavior predictionThis study uses the stock market of Taiwan as data source, and applies Fractal Method and Moving Average Method (MA) to conduct comparative research and analysis of stochastic data of stock price. Three stocks of traditional industries and with large-cap index weights are ...
Ling PW (2011) The needed optimal cycle for prediction accuracy of stock price behavior for traditional industries in Taiwan by moving average method. IEIT J Adapt Dyn Comput 2(2):7–13The Needed Optimal Cycle for Prediction Accuracy of Stock Price Behavior for Traditional Industries in Taiwan ...
This method is particularly useful in situations where the past is a reliable indicator of future trends, such as predicting weather patterns, stock market trends, or consumer behavior. Whereas predictions can be more speculative and may involve a broader range of methods, including expert judgment,...
So we need to be able to capture as many of these pre-conditions as possible. We also need make several important assumptions: 1) markets are not 100% random, 2) history repeats, 3) markets follow people's rational behavior, and 4) the markets are 'perfect'. And, please, do read ...
So we need to be able to capture as many of these pre-conditions as possible. We also need make several important assumptions: 1) markets are not 100% random, 2) history repeats, 3) markets follow people's rational behavior, and 4) the markets are 'perfect'. And, please, do read ...
So we need to be able to capture as many of these pre-conditions as possible. We also need make several important assumptions: 1) markets are not 100% random, 2) history repeats, 3) markets follow people's rational behavior, and 4) the markets are 'perfect'. And, please, do read ...