[PDF] Top 20 Stock price development forecasting using neural networks
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Stock price development forecasting using neural networks
... words: forecasting, stock, price development, artificial neural networks 1 Introduction The ability to accurately predict share price development is crucial for ... See full document
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Forecasting Stock Price Index Using Artificial Neural Networks in the Indonesian Stock Exchange
... ABSTRACT Stock price index is the initial significant factor influencing on investors' financial decision ...of stock price index is considerably ...of using technical indicators, such ... See full document
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Trends in the stock market and their price forecasting using artificial neural networks 1
... artificial neural networks include: ability to process information that is fuzzy, chaotic, incomplete or even contradictory; fast and efficient processing of large amounts of data; parallel, distributed ... See full document
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Stock market forecasting using artificial neural networks
... is forecasting the weather and environmental disasters. Forecasting is the process of collecting information in order to complete and expand them suitably for ...and stock market, which are highly ... See full document
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Forecasting Malaysia Gold’s Price by using Neural Networks
... gold’s price in order to assist them in making a good decision on their ...gold’s price by using artificial Neural Network ...The forecasting models are implemented by using ... See full document
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Electricity Price Forecasting Using Recurrent Neural Networks
... electricity price forecasting has become a substantial requirement since the liberalization of the electricity ...sharp price spikes and seasonality, various types of electricity price ... See full document
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Stock Price Prediction Using Recurrent Neural Networks
... scaled using MinMaxScaler in order to train the ...predicted price or re-run again for tuning the parameters of the RNN ...the stock price very precisely and ... See full document
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Investigation of Some Technical Indexes in Stock Forecasting Using Neural Networks
... Keywords— Stock Market Prediction, Neural Networks, Levenberg-Marquadt Algorithm, Technical Indexes ...that stock price changes are serially independent, but traders and certain ... See full document
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Neural networks and forecasting stock price movements-accounting approach: Empirical evidence from Iran
... business. Stock markets prediction is normally assumed as tedious task since there are many factors influencing the ...closing price movement of Tehran Stock Exchange (TSE) using financial ... See full document
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Oil price forecasting using gene expression programming and artificial neural networks
... oil price in the study ...regression, neural networks and decision trees in a study of credit-scoring ...prediction using machine learning ...accurate forecasting for simulated data ... See full document
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Short-Term Price Forecasting For Agro-products Using Artificial Neural Networks
... term price forecasting for agro-products is a subject that has been studied extensively since 21 century, and several different methods have been ...statistical forecasting methods can be divided ... See full document
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The Research on the Forecasting of Stock Price Based on the Improved Neural Network
... Modeling Back Propagation Algorithm BP is a method used in artificial neural networks to calculate the error contribution of each neuron after a batch of data (in image recognition, multiple images) is ... See full document
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Forecasting of the Stock Price Using Recurrent Neural Network Long Short-term Memory
... 5. Conclusions We studied a highly topical issue of machine learning application for stock price prediction. We employed LSTM NN, for which we tested different settings of epochs to find the optimal one ... See full document
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Data Mining on Romanian Stock Market Using Neural Networks for Price Prediction
... Mining, Neural Networks, MLP, Multi-agent System, Majority Voting, Time series Forecasting Introduction Price estimation using time series predic- tion models has been largely studied ... See full document
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Short Term Electricity Price Forecasting Using a Combination of Neural Networks and Fuzzy Inference
... artificial neural network, ANN, based approach for estimating short-term wholesale electricity prices using past price and demand ...in forecasting prices the anticipated electricity demand at ... See full document
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Day-Ahead Price Forecasting of Electricity Market Using Neural Networks and Wavelet Transform
... on price have been ignored because they are not appropriate for the Arima ...of price proposal, time series of price has a non-periodic oscillatory ...instantaneous price of energy. Arima ... See full document
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Deterministic Echo State Networks Based Stock Price Forecasting
... or stock markets is a challenging research topic since the stock market is mostly complex (nonlinear) and ...artificial neural network (ANN) in prediction problems is very promising for its general ... See full document
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NEURAL NETWORKS APPLIED TO STOCK MARKET FORECASTING: AN EMPIRICAL ANALYSIS
... Poor's (S&P) 500 and find that the trading rule based on ANNs generates higher returns than the buy–hold strategy. 2 In addition, ANNs have been successfully applied to predict important financial and market indexes, the ... See full document
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The Forecasting Model of Stock Price Based on PCA and BP Neural Network
... PCA, Stock Price Forecasting ...economic development and people’s increasing financial and invest- ment awareness, stock investment of high-risk and high-income has become a significant ... See full document
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Air quality forecasting using neural networks
... 2 Neural networks History of neural networks The study of the brain of human beings has never ...artificial neural networks with electronic machines ...the neural network ... See full document
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