METHOD OF COMPARING ACTUAL AND USER PREDICTED CHANGES IN DATA

• US 20080154827A1
• Filed: 12/20/2006
• Published: 06/26/2008
• Est. Priority Date: 12/20/2006
• Status: Abandoned Application

• Current Assignee: Connors Research LLC
• Original Assignee: Connors Research LLC
• Inventors: Connors, Laurence A.
• Application Number:
  US11/613,980
• Publication Number:
  US 20080154827A1
• Time in Patent Office: Days
• US Class Current: 706/46
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Abstract

A method of comparing actual and user predicted changes in data over a time period is provided. Each time period comprises a plurality of sequential time intervals. Historical data containing historical data values is received from a data input. The change in historical data value between a given time interval and a subsequent time interval is an authentic change. The historical data for each time interval is displayed on a user interface. A data prediction is received for each time interval from a prediction input. The data prediction is whether the historical data value of the subsequent time interval will increase or decrease as compared to the historical data value of the current time interval. The data prediction for each time interval is then compared with the authentic change. The number of data predictions matching the authentic changes over the time period is the user score.

Claims

1. A method of comparing actual and user predicted changes in data over a time period having a plurality of sequential time intervals, the method comprising the steps of:

a) receiving historical data from a data input, the historical data having historical data values with authentic changes, each authentic change being a change in historical data value between a current time interval and a subsequent time interval;

b) displaying the historical data for each time interval on a user interface;

c) receiving a data prediction for each time interval from a prediction input, the data prediction being whether the historical data value of the subsequent time interval will increase or decrease as compared to the historical data value of the current time interval;

d) comparing the data prediction for each time interval with the authentic change; and

e) generating a user score, the user score being the number of data predictions matching the authentic changes over the time period.

2. The method of claim 1 further comprising the step of storing the historical data in a historical database.

3. The method of claim 1 further comprising the step of storing the data prediction in a user input database.

4. The method of claim 1, wherein the historical data received contains real-time data.

5. The method of claim 1, wherein the historical data received contains previously recorded data.

6. The method of claim 1, wherein each time interval is equal.

7. The method of claim 1 wherein the data prediction is received from a user.

8. The method of claim 1 wherein the data prediction is received from a default source, the default source capable of sending the data prediction when the user does not enter the data prediction.

9. The method of claim 8, wherein the data prediction is an increase in the historical data value.

10. The method of claim 1, wherein the historical data relates to a financial market.

11. The method of claim 10, wherein the financial market is a stock market.

12. The method of claim 10, wherein the financial market is a commodities market.

13. A method of comparing actual and user predicted changes in data over a time period having a plurality of sequential time intervals, the method comprising the steps of:

a) receiving historical data from a data input, the historical data having historical data values with authentic changes, each authentic change being a change in historical data value between a current time interval and a subsequent time interval;

b) displaying the historical data for each time interval on a user interface, wherein each user is provided with a user interface;

c) receiving a data prediction from a prediction input for each user for each time interval, the data prediction being whether the historical data value of a subsequent time interval will increase or decrease as compared to the historical data value of a current time interval;

d) comparing the data prediction of each user for each time interval with an authentic change; and

e) generating a user score for each user, the user score being the number of data predictions matching the authentic changes over the time period.

14. The method of claim 13 further comprising the step of identifying a winning score, the winning score being the user having the highest user score.

15. The method of claim 13 further comprising the step of storing the historical data in a historical database.

16. The method of claim 13 further comprising the step of storing the data prediction in a user input database.

17. The method of claim 13, wherein the historical data received contains real-time data.

18. The method of claim 13, wherein the historical data received contains previously recorded data.

19. The method of claim 13, wherein each time interval is equal.

20. The method of claim 13 wherein the data prediction is received from each user.

21. The method of claim 13 wherein at least one data prediction is received from a default source, the default source capable of sending the data prediction when at least one of the multiple users does not enter the data prediction.

22. The method of claim 13 wherein the at least one data prediction received from a default source is an increase in historical data value.

23. The method of claim 13, wherein the historical data relates to a financial market.

24. The method of claim 23, wherein the financial market is a stock market.

25. The method of claim 23, wherein the financial market is a commodities market.

26. An article of manufacture comprising a program storage medium readable by a computer, the medium tangibly embodying one or more programs of instructions executable by a computer to perform a method of comparing actual and user predicted changes in data over a time period having a plurality of sequential time intervals, the method comprising the steps of:

a) receiving historical data from a data input, the historical data having historical data values with authentic changes, each authentic change being a change in historical data value between a current time interval and a subsequent time interval;

b) displaying the historical data for each time interval on a user interface;

c) receiving a data prediction for each time interval from a prediction input, the data prediction being whether the historical data value of the subsequent time interval will increase or decrease as compared to the historical data value of the current time interval;

d) comparing the data prediction for each time interval with the authentic change; and

e) generating a user score, the user score being the number of data predictions matching the authentic changes over the time period.