Stock price prediction using artificial neural network integrated moving average
نویسندگان
چکیده
منابع مشابه
Short-term Prediction of Tehran Stock Exchange Price Index (TEPIX): Using Artificial Neural Network (ANN)
The main objective of this study is to find out whether an Artificial Neural Network (ANN) will be useful to predict stock market price, which is highly non-linear and uncertain. Specifically, this study will focus on forecasting TSE Price Index (TEPIX) as the most significant index of Iran Stock Market. Many data have been used as inputs to the network. These data are observations of 2000 day...
متن کاملStock Price Prediction Using Quantum Neural Network
Quantum Neural Network (QNN) can improve upon the inadequacies of the classical neural network (CNN). The CNN requires a huge memory and needs more computational power. A new field of computation is emerging which integrates quantum computation with CNN. A quantum inspired hybrid model of quantum neurons and classical neurons is proposed. This paper details an approach, perhaps the first attemp...
متن کاملStock Price Trend Prediction using Artificial Neural Network and Derived Parameters
This thesis explores derived parameter optimization technique to optimize the performance of forecasting models. This study presents artificial neural network (ANN) based computational approach for predicting the stock market trend of companies from five different sectors such as:IT Sector (Infosys), Banking Sector (SBI), Consumer Goods Sector (Tata Motors), Industrial Goods Sector (BHEL) and B...
متن کاملStock Market Prediction using Feed-forward Artificial Neural Network
This paper presents computational approach for stock market prediction. Artificial Neural Network (ANN) forms a useful tool in predicting price movement of a particular stock. In the short term, the pricing relationship between the elements of a sector holds firmly. An ANN can learn this pricing relationship to high degree of accuracy and be deployed to generate profits with sufficiently large ...
متن کاملUsing artificial neural network models in stock market index prediction
Forecasting stock exchange rates is an important financial problem that is receiving increasing attention. During the last few years, a number of neural network models and hybrid models have been proposed for obtaining accurate prediction results, in an attempt to outperform the traditional linear and nonlinear approaches. This paper evaluates the effectiveness of neural network models which ar...
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 Physics: Conference Series
سال: 2020
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1641/1/012028