�ݺ�ߣshows by User: IRE

�ݺ�ߣshows by User: IRE_22 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: IRE_22 / Thu, 17 Apr 2014 08:18:41 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: IRE_22 IRE major project group 22 IIITH /slideshow/ire-major-project-group-22-iiith/33644338 iremajorprojectgroup22-140417081841-phpapp02
Over the years there have been a lot of attempts to predict stock market movements using various techniques and hundreds of parameters. Some of the algorithms used are Exponential Moving Average and Head & Shoulders. Artificial Neural Networks and Genetic Algorithms are also used heavily. Many analysts use more traditional techniques such as P/E Ratio too. All these techniques used Stock Market prices, stock volumes traded and dividends paid etc. However there has been no single solution which has been perfected, generally an ensemble of algorithms are used for this purpose. However our attempt was to highlight how market and news/blogs sentiment can be harnessed and used for predicting Stock Movements without these traditional techniques]]>
Over the years there have been a lot of attempts to predict stock market movements using various techniques and hundreds of parameters. Some of the algorithms used are Exponential Moving Average and Head & Shoulders. Artificial Neural Networks and Genetic Algorithms are also used heavily. Many analysts use more traditional techniques such as P/E Ratio too. All these techniques used Stock Market prices, stock volumes traded and dividends paid etc. However there has been no single solution which has been perfected, generally an ensemble of algorithms are used for this purpose. However our attempt was to highlight how market and news/blogs sentiment can be harnessed and used for predicting Stock Movements without these traditional techniques]]> Thu, 17 Apr 2014 08:18:41 GMT /slideshow/ire-major-project-group-22-iiith/33644338 IRE_22@slideshare.net(IRE_22) IRE major project group 22 IIITH IRE_22 Over the years there have been a lot of attempts to predict stock market movements using various techniques and hundreds of parameters. Some of the algorithms used are Exponential Moving Average and Head & Shoulders. Artificial Neural Networks and Genetic Algorithms are also used heavily. Many analysts use more traditional techniques such as P/E Ratio too. All these techniques used Stock Market prices, stock volumes traded and dividends paid etc. However there has been no single solution which has been perfected, generally an ensemble of algorithms are used for this purpose. However our attempt was to highlight how market and news/blogs sentiment can be harnessed and used for predicting Stock Movements without these traditional techniques <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iremajorprojectgroup22-140417081841-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Over the years there have been a lot of attempts to predict stock market movements using various techniques and hundreds of parameters. Some of the algorithms used are Exponential Moving Average and Head & Shoulders. Artificial Neural Networks and Genetic Algorithms are also used heavily. Many analysts use more traditional techniques such as P/E Ratio too. All these techniques used Stock Market prices, stock volumes traded and dividends paid etc. However there has been no single solution which has been perfected, generally an ensemble of algorithms are used for this purpose. However our attempt was to highlight how market and news/blogs sentiment can be harnessed and used for predicting Stock Movements without these traditional techniques

IRE major project group 22 IIITH from Akhil Jindal

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