Method for chart markup and annotation in technical analysis
AssigneeRecognia Incorporated
InventorRichard E.A. Escher
Life of this patent
Estimating the term…
Abstract
A method for generating markup information and annotating a time series chart to display recognized pattern formations. Pivot points in the time series are identified and categorized. The pivot points are then analyzed to recognize desired pattern formations. The time series is then graphically displayed with the pivot points marked and labeled. Lines drawn between the pivot points display the recognized pattern to a user. Breakout (trend) lines can also be included. The time series can include time series of financial data, such as stock prices, medical data, such as electrocardiogram results, or any other data that can be presented as a time series, and in which it is desirable to identify turning points, trends, formations or other information.
Claims13
A method for generating markup for annotating a chart of time series data, wherein a rich feature set of technical event data related to the time series data is stored in a database, the rich feature set including identification of pivot points in the time series data, pattern recognition data derived from the identified pivot points, and rating and quality assessments derived from the pattern recognition data, the identified pivot points and the time series data, the method comprising:
- receiving, from a client, a request for markup information related to an event;
- selecting features associated with the event from the rich feature set;
- determining markup tags in accordance with the selected features;
- assembling the markup tags, in accordance with a markup format, to generate a markup block for the event, the markup block containing the requested markup information;
- and
- sending the markup block to the client.
A method for generating markup for annotating a chart of time series data, wherein a rich feature set of technical event data related to the time series data is stored in a database, the rich feature set including identification of pivot points in the time series data, pattern recognition data derived from the identified pivot points, and rating and quality assessments derived from the pattern recognition data, the identified pivot points and the time series data, the method comprising:
- selecting features associated with an event from the rich feature set;
- determining markup tags in accordance with the selected features;
- and
- assembling the markup tags, in accordance with a markup format, to generate a markup block for the event.
A method for annotating a time series chart, comprising:
- receiving time series data for pattern recognition;
- identifying pivot points in the time series data;
- performing pattern recognition based on the identified pivot points to provide pattern recognition data;
- characterizing the time series data and rating the pattern recognition data to provide characterization data;
- storing, in a database, a rich feature set based on the time series data, the pattern recognition data and the characterization data;
- receiving, from an outside client, a request for markup information for a chart based on the time series data;
- selecting features from the rich feature set;
- determining markup tags in accordance with the selected features;
- assembling the markup tags, in accordance with a markup format, to generate a markup block, the markup block containing the requested markup information;
- and
- sending the markup block to the client.
Dependencies are inferred from the claim text.