Add to ORKGIn this case study in knowledge engineering, data mining, and behavioral finance, we implement a variation of the bull flag stock charting heuristic using a template matching technique from pattern recognition to identify abrupt increases in volume in the New York Stock Exchange Composite Index. Such volume increases are found to signal subsequent increases in price under certain conditions during the period from 1981 to 1999, the Great Bull Market. A 120-trading-day history of price and volume is used to forecast price movement at horizons from 20 to 100 trading days, (C) 2003 Elsevier B.V. All rights reserved
The 21st century is seeing technological advances that make it possible to build more robust and sop...
Financial theories argue that stock prices move mainly due to arrival of new information or stock in...
Stock market prediction is one of the most challenging problems which has been distressing both rese...
In this case study in knowledge engineering, data mining, and behavioral finance, we implement a var...
In this case study in knowledge engineering, data mining, and behavioral finance, we implement a var...
We match a template depicting a bull flag 60-day price behavior to closing prices of the New York ...
We identify trading volume spikes through use of the template matching technique from statistical pa...
We identify trading volume spikes through use of the template matching technique from statistical pa...
Abstract:- We match a template depicting a “bull flag ” 60-day price behavior to closing prices of t...
We introduce a method for combining template matching, from pattern recognition, and the feed-forwar...
We match a template depicting a bull flag 60-day price behavior to closing prices of the New York ...
We introduce a method for combining template matching, from pattern recognition, and the feed-forwar...
The 21st century is seeing technological advances that make it possible to build more robust and sop...
In this case study in knowledge engineering and data mining, we implement a recognizer for two varia...
Technical analysis comprised by various technical indicators is a holistic way of representing price...
The 21st century is seeing technological advances that make it possible to build more robust and sop...
Financial theories argue that stock prices move mainly due to arrival of new information or stock in...
Stock market prediction is one of the most challenging problems which has been distressing both rese...
In this case study in knowledge engineering, data mining, and behavioral finance, we implement a var...
In this case study in knowledge engineering, data mining, and behavioral finance, we implement a var...
We match a template depicting a bull flag 60-day price behavior to closing prices of the New York ...
We identify trading volume spikes through use of the template matching technique from statistical pa...
We identify trading volume spikes through use of the template matching technique from statistical pa...
Abstract:- We match a template depicting a “bull flag ” 60-day price behavior to closing prices of t...
We introduce a method for combining template matching, from pattern recognition, and the feed-forwar...
We match a template depicting a bull flag 60-day price behavior to closing prices of the New York ...
We introduce a method for combining template matching, from pattern recognition, and the feed-forwar...
The 21st century is seeing technological advances that make it possible to build more robust and sop...
In this case study in knowledge engineering and data mining, we implement a recognizer for two varia...
Technical analysis comprised by various technical indicators is a holistic way of representing price...
The 21st century is seeing technological advances that make it possible to build more robust and sop...
Financial theories argue that stock prices move mainly due to arrival of new information or stock in...
Stock market prediction is one of the most challenging problems which has been distressing both rese...