Predicting the direction of stock markets movement has been one of the most widely investigated and challenging problems for investors and researchers as well. Many researchers focus on stock market analysis using advanced knowledge of mathematics, computer sciences, economics and many other disciplines....
Analysis and prediction of Indian stock market: a machine-learning approach The social indicators will give an insight for predicting the direction of stock market. The LSTM network will make use of historical closing prices, ... S Srivastava,M Pant,V Gupta - 《International Journal of System ...
Conclusion: This study proved the significance of using twelve particular technical market indicators which have also useful results in predicting the direction of stock price movement. To improve ANN model capabilities, a mixture of technical and fundamental factors as inputs over different time period...
Predicting the direction of stock market prices using Ensemble Learning Investments in stock markets involve very high risk due to its complexity and dynamic nature. Many variables inuence the market value in a particular day such as economic condition, investor's sentiment etc. Because of this, ...
Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model Mingyue Qiu,Yu Song - 《Plos One》 - 2016 - 被引量: 22 Modified Neural Network Algorithms for Predicting Trading Signals of Stock Market Indices. Tilakaratne,C.,D.,... - 《Advances in...
Predicting the direction of stock market prices using random forest Predicting trends in stock market prices has been an area of interest for researchers for many years due to its complex and dynamic nature. Intrinsic volat... L Khaidem,S Saha,SR Dey 被引量: 37发表: 2016年 MODELS OF STOCK...
Forecasting the direction and trend of stock price is an important task which helps investors to make prudent financial decisions in the stock market. Investment in the stock market has a big risk associated with it. Minimizing prediction error reduces the investment risk. Machine learni...
Before we get into what an index is, we'll need to get into the basics of the stock market. Some companies are publicly traded, which means that anyone can buy and sell their shares on the open market. A share entitles the owner to some control over the direction of the company, and...
Having so many features we have to consider whether all of them are really indicative of the direction GS stock will take. For example, we included USD denominated LIBOR rates in the dataset because we think that changes in LIBOR might indicate changes in the economy, that, in turn, might ...
Therefore, the future direction of this model is to enhance our knowledge of the biological functions of lncRNA. Consequently, our study proposes a novel RPI prediction method dubbed LPI-MFF, which combines multiple features, such as protein-protein interaction (PPI) features, sequence features, ...