Add to ORKGDiscovering patterns and relationships in the stock market has been widely researched for many years. The goal of this work is to find hidden patterns within stock market price time series that may be exploited to yield greater than expected returns. A data mining approach provides the framework for this research. The data set is composed of weekly financial data for the stocks in two major stock indexes. Experiments are conducted using a technique designed to discover patterns within the data. Results show that these methods can outperform the market in longer time ranges with bull market conditions. Results include consideration of transaction costs
Technical analysis has become a custom decision support tool for traders and analysts, though not wi...
We present the architecture of a “useful pattern” mining system that is capable of detecting thousan...
Data Mining (DM) methods are being increasingly used in prediction with time series data, in additio...
Discovering patterns and relationships in the stock market has been widely researched for many years...
Discovering patterns and relationships in the stock market has been widely researched for many years...
Discovering patterns and relationships in the stock market has been widely researched for many years...
Abstract. The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time ...
There is a widespread belief that certain patterns of stock prices over time portend specific future...
Investors in the stock market are always interested and looking for better methods of predicting the...
The Time Series Data Mining framework developed by Povinelli is extended to perform weekly multiple ...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
Time series data poses a significant variation to the traditional segmentation techniques of data mi...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
Technical analysis has become a custom decision support tool for traders and analysts, though not wi...
We present the architecture of a “useful pattern” mining system that is capable of detecting thousan...
Data Mining (DM) methods are being increasingly used in prediction with time series data, in additio...
Discovering patterns and relationships in the stock market has been widely researched for many years...
Discovering patterns and relationships in the stock market has been widely researched for many years...
Discovering patterns and relationships in the stock market has been widely researched for many years...
Abstract. The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time ...
There is a widespread belief that certain patterns of stock prices over time portend specific future...
Investors in the stock market are always interested and looking for better methods of predicting the...
The Time Series Data Mining framework developed by Povinelli is extended to perform weekly multiple ...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
Time series data poses a significant variation to the traditional segmentation techniques of data mi...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
Technical analysis has become a custom decision support tool for traders and analysts, though not wi...
We present the architecture of a “useful pattern” mining system that is capable of detecting thousan...
Data Mining (DM) methods are being increasingly used in prediction with time series data, in additio...