Prediction of stock close price movements has attracted a lot of research interest. Using machine learning techniques, especially statistical classifiers, for day ahead forecasting of the movement of daily close prices of a broad range of several hundreds of liquid stocks is generally not very ...
The prediction of stock price is an important task in investment and financial decision-making since stock prices/indices are inherently noisy and non-stationary. In this paper a GMDH type-neural network based on Genetic algorithm is used to predict stock price index of petrochemical industry in ...
The financial system of any economy is seen to be divided between the financial intermediaries (banks, insurance companies and pension funds) and the markets (bond and stock markets). This study was designed to look at the behavior of stock price of Nigerian Breweries Plc with passage of time...
Stock prices change every day as a result of market forces and other economic factors. The price fluctuation results into unpredictable supply (buy) and demand (sell) of the shares over a span of time. In this research, we have used hidden Markov model on the input stock data and parameter...
tion in artificial neural networks for the prediction of stock price index,” Expert Syst Appl., 19 (2):125-32, 2000. [18] P . M. Tsang, P . Kwok, S. O. Choy, R. Kwan, S. C. Ng, J. Mak, et al. “Design and implementation of NN5 for Hong Kong stock price ...
Based on the fluctuation of the stock market and the dynamic tracking features of Kalman filter, taking stockof Changbaishan(603099) as an example, the variation process of stock price is viewed as a maneuvering system and the state-space model of stock price can be established. The forecasting...
This paper deals with stochastic modelling and short time prediction of share price development in Czech stock market. The aim of this research is to create such models which can be used for creating automatic trading strategies that will beat the market. Reliability of these models is being chec...
Stock price prediction has been regarded as an intractable task due to the intrinsic nonlinearity and instability of stock market.In this paper,based on the traditional SVR approach,a forecasting model that integrates principal component analysis(PCA)and fruit fly optimization algorithm(FOA)for predictin...
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Nvidia stock price forecast for January 2025.The forecast for beginning 134 dollars. Maximum price 175, minimum 134. Averaged Nvidia stock price for the month 149. At the end 151 dollars, change for January 12.7%. Nvidia stock prediction for February 2025.The forecast for beginning 151 dollars...