Automated analysis for financial assets

• US 6,453,303 B1
• Filed: 08/15/2000
• Issued: 09/17/2002
• Est. Priority Date: 08/16/1999
• Status: Expired due to Term

• Current Assignee: Blackbird Tech LLC
• Original Assignee: Westport Financial LLC
• Inventors: Li, Bin
• Primary Examiner(s): Poinvil, Frantzy
• Application Number:
  US09/640,107
• Time in Patent Office: 763 Days
• Field of Search: 705/1, 705/35, 705/36, 705/37, 705/10, 707/10, 707/100
• US Class Current: 705/36.00R
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

A system is provided for automatically generating and displaying market analysis related to financial assets whereby the analysis is provided for substantially all financial assets. The system includes a computer, database accessible by the computer and having stored thereon historical and real time data relating to a financial asset, and software executing on the computer for generating and displaying market analysis. The market analysis may, but not necessarily, include historical and real time data, a measure of liquidity and volatility of a financial asset, a measure of a financial asset'"'"'s historical performance, an analysis of a financial asset'"'"'s return in relation to its risk, and computed correlation coefficients and analysis of relationships between a financial asset and its market or market sectors.

Claims

1. A system for automatically providing analysis relating to financial assets, comprising:

a computer;

a database accessible by said computer, said database having stored thereon historical data relating to a financial asset;

a feed of real time data relating to the financial asset; and

software executing on said computer for automatically computing an indicator of the financial asset'"'"'s strength for determining the financial asset'"'"'s market value;

software executing on said computer for automatically computing a correlation coefficient for analyzing a relationship between the financial asset and a financial market, wherein said correlation coefficient is selected from the group consisting of beta, value-at-risk, sharpe ratio, and combinations thereof; and

software executing on said computer for automatically generating analysis based upon the historical data, real time data, the computation of a correlation coefficient, the indicator of the financial asset'"'"'s strength, the determination as to whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern, and the prediction of future performance.

2. The system according to claim 1, wherein the analysis further comprises a recommendation as to a particular time for selling/buying a financial asset.

3. The system according to claim 1, wherein the analysis further comprises a recommendation as to whether the financial asset is appropriate for short term trading.

4. The system according to claim 1, wherein the analysis further comprises a recommendation as to whether the financial asset is appropriate for long term trading.

5. The system according to claim 1, wherein the analysis further comprises a recommendation as to whether the financial asset is a high/low risk for trading.

6. The system according to claim 1, wherein the analysis further comprises a recommendation as to whether the financial asset is appropriate for a certain type of investor.

7. The system according to claim 1, wherein the analysis further comprises a prediction of a financial asset'"'"'s performance.

8. The system according to claim 1, wherein the analysis is a prediction of a financial market'"'"'s performance.

9. A system for automatically providing analysis relating to financial assets, comprising:

a computer;

a database accessible by said computer, said database having stored thereon historical data relating to a financial asset;

a feed of real time data relating to the financial asset;

software executing on said computer for automatically generating a measure of volatility of the financial asset based upon the historical data;

software executing on said computer for automatically generating a measure of historical performance of the financial asset based upon the historical data;

software executing on said computer for automatically evaluating a rate of return of the financial asset based upon the historical data;

software executing on said computer for automatically computing a correlation coefficient for analyzing a relationship between the financial asset and a financial market, wherein said correlation coefficient is selected from the group consisting of beta, value-at-risk, sharpe ratio, and combinations thereof; and

software executing on said computer for automatically generating analysis based upon the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, and the relationship between the financial asset and financial market.

10. The system according to claim 9, further comprising software executing on said computer for automatically updating the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the relationship between the financial asset and financial market, and the analysis on a real time basis.

11. The system according to claim 9, further comprising software executing on said computer for automatically computing an indicator of the financial asset'"'"'s strength for determining the financial asset'"'"'s market value;

software executing on said computer for automatically determining whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern; and

software executing on said computer for automatically predicting future performance of the financial asset.

12. The system according to claim 11, further comprising software executing on said computer for automatically updating the computation of the indicator, the determination as to whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern, and the prediction of a future performance of the financial asset on a real time basis.

13. The system according to claim 9, wherein said analysis is on a single web page.

14. The system according to claim 9, wherein said analysis further comprises filtered information relevant to the financial asset.

15. A system for automatically providing analysis relating to financial assets, comprising:

a computer;

a database accessible by said computer, said database having thereon historical data relating to a financial asset;

a feed of real time data relating to the financial asset;

software executing on said computer for automatically generating a measure of volatility of the financial asset based upon the historical data;

software executing on said computer for automatically generating a measure of historical performance of the financial asset based upon the historical data;

software executing on said computer for automatically evaluating a rate of return of the financial asset based upon the historical data;

software executing on said computer for automatically computing an indicator of the financial asset'"'"'s strength for determining the financial asset'"'"'s market value based upon the historical data;

software executing on said computer for automatically computing a correlation coefficient for analyzing a relationship between the financial asset and a financial market, wherein said correlation coefficient is selected from the group consisting of beta, value-at-risk, sharpe ratio, and combinations thereof;

software executing on said computer for automatically generating analysis based upon the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the indicator of the financial asset'"'"'s strength, and the analysis of the relationship between the financial asset and financial market.

16. The system according to claim 15, further comprising software executing on said computer for automatically updating the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the indicator, the analysis of the relationship between the financial asset and financial market through use of computed correlation coefficients, the determination as to whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern, and the prediction of future performance of the financial asset on a real time basis.

17. The system according to claim 15, wherein said analysis is on a single web page.

18. The system according to claim 15, wherein said analysis further comprises filtered information relevant to the financial asset.

19. A system for automatically providing analysis relating to financial assets, comprising:

a computer;

a database accessible by said computer, said database having stored thereon historical data relating to a financial asset;

a feed of real time data relating to the financial asset;

software executing on said computer for automatically generating a measure of volatility of the financial asset based upon the historical data;

software executing on said computer for automatically generating a measure of historical performance of the financial asset based upon the historical data;

software executing on said computer for automatically evaluating a rate of return of the financial asset based upon the historical data;

software executing on said computer for automatically computing a correlation coefficient for analyzing a relationship between the financial asset and a financial market, wherein said correlation coefficient is selected from the group consisting of beta, value-at-risk, sharpe ratio, and combinations thereof;

software executing on said computer for automatically determining whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern based upon the historical data; and

software executing on said computer for automatically generating analysis based upon the historical data, feed of real time data, the measure of liquidity and volatility, the measure of historical performance, the rate of return and risk, the analysis of the relationship between the financial asset and financial market, and the determination as to whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern.

20. The system according to claim 19, further comprising software executing on said computer for automatically updating the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the determination as to whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern, and the analysis on a real time basis.

21. The system according to claim 19, further comprising software executing on said computer for automatically computing an indicator of the financial asset'"'"'s strength for determining the financial asset'"'"'s market value;

software executing on said computer for automatically analyzing a relationship between the financial asset and a financial market through use of computed correlation coefficients; and

software executing on said computer for automatically predicting a future performance of the financial asset.

22. The system according to claim 21, further comprising software executing on said computer for automatically updating the computation of the indicator, the analysis of the relationship, and the prediction of future performance of the financial asset on a real time basis.

23. The system according to claim 19, wherein said analysis is on a single web page.

24. The system according to claim 19, wherein said analysis further comprises filtered information relevant to the financial asset.

25. A system for automatically providing analysis relating to financial assets, comprising:

a computer;

a database accessible by said computer, said database having stored thereon historical data relating to a financial asset;

a feed of real time data relating to the financial asset;

software executing on said computer for automatically generating a measure of volatility of the financial asset based upon the historical data;

software executing on said computer for automatically generating a measure of historical performance of the financial asset based upon the historical data;

software executing on said computer for automatically computing a correlation coefficient for analyzing a relationship between the financial asset and a financial market, wherein said correlation coefficient is selected from the group consisting of beta, value-at-risk, sharpe ratio, and combinations thereof; and

software executing on said computer for automatically generating a prediction of future performance of the financial asset based upon the historical data; and

software executing on said computer for automatically generating analysis based upon the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the analysis of the relationship between the financial asset and financial market, and the prediction of future performance of the financial asset.

26. The system according to claim 25, further comprising software executing on said computer for automatically updating the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the prediction of future performance of the financial asset, and the analysis on a real time basis.

27. The system according to claim 25, further comprising software executing on said computer for automatically computing an indicator of the financial asset'"'"'s strength for automatically determining the financial asset'"'"'s market value;

software executing on said computer for determining whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern; and

software executing on said computer for automatically analyzing a relationship between the financial asset and financial market through use of computed correlation coefficients.

28. The system according to claim 27, further comprising software executing on said computer for automatically updating the computation of the indicator, the determination as to whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern, and the analysis of the relationship between the financial asset and financial market on a real time basis.

29. The system according to claim 25, wherein said analysis is on a single web page.

30. The system according to claim 25, wherein said analysis further comprises filtered information relevant to the financial asset.

31. A method for automatically providing analysis relating to financial assets, comprising:

providing a computer;

storing historical data of a financial asset on a database accessible by said computer;

retrieving historical data of the financial asset stored on said database;

retrieving a feed of real time data relating to the financial asset;

generating a measure of volatility of the financial asset based upon the historical data;

generating a measure of historical performance of the financial asset based upon the historical data;

evaluating a rate of return of the financial asset based upon the historical data;

automatically analyzing a relationship between the financial asset and a financial market based upon a computed correlation coefficient selected from the group consisting of beta, value-at-risk, sharpe ratio, and combinations thereof; and

automatically generating analysis based upon the historical data stored on said database, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, and the relationship between the financial asset and financial market.

32. The method according to claim 31, further comprising the step of automatically updating the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the relationship between the financial asset and financial market, and the analysis on a real time basis.

33. The method according to claim 31, further comprising the step of automatically computing an indicator of the financial asset'"'"'s strength for determining the financial asset'"'"'s market value;

automatically determining whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern; and

automatically predicting future performance of the financial asset.

34. The method according to claim 31, further comprising the step of automatically updating the computation of the indicator, the determination as to whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern, and the prediction of a future performance of the financial asset on a real time basis.

35. The method according to claim 31, further comprising the step of automatically providing said analysis on a single web page.

36. The method according to claim 31, further comprising the step of automatically filtering information relevant to the financial asset.

37. A method for automatically providing analysis relating to financial assets, comprising:

providing a computer;

storing historical data of a financial asset on a database accessible by said computer;

retrieving historical data of the financial asset stored on said database;

retrieving a feed of real time data relating to the financial asset;

generating a measure of volatility of the financial asset based upon the historical data;

generating a measure of historical performance of the financial asset based upon the historical data;

evaluating a rate of return of the financial asset based upon the historical data;

automatically computing an indicator of the financial asset'"'"'s strength for determining the financial asset'"'"'s market value based upon the historical and real time data;

automatically analyzing a relationship between the financial asset and a financial market based upon computed correlation coefficients selected from the group consisting of beta, value-at-risk, sharpe ratio, and combinations thereof;

automatically determining whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern; and

generating analysis based upon the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the indicator of the financial asset, the analysis of the relationship between the financial asset and financial market, the determination as to whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern, and the prediction of future performance of the financial asset.

38. The method according to claim 37, further comprising the step of automatically updating the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the indicator, the analysis of the relationship between the financial asset and financial market through use of computed correlation coefficients, the determination as to whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern, and the prediction of future performance of the financial asset on a real time basis.

39. The method according to claim 37, further comprising the step of automatically providing said analysis on a single web page.

40. The method according to claim 37, further comprising the step of automatically filtering information relevant to the financial asset.

41. A method for automatically providing analysis relating to financial assets, comprising:

providing a computer;

storing historical data of a financial asset on a database accessible by said computer;

retrieving historical data of the financial asset stored on said database;

retrieving a feed of real time data relating to the financial asset;

generating a measure of volatility of the financial asset based upon the historical data;

generating a measure of historical performance of the financial asset based upon the historical data;

evaluating a rate of return of the financial asset based upon the historical data;

automatically analyzing a relationship between the financial asset and a financial market based upon a computed correlation coefficient selected from the group consisting of beta, value-at-risk, sharpe ratio, and combinations thereof; and

generating analysis based upon the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the indicator of the financial asset, and the analysis of the relationship between the financial asset and financial market.

42. The method according to claim 41, further comprising the step of automatically updating the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the determination as to whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern, and the analysis on a real time basis.

43. The method according to claim 41, further comprising the step of automatically computing an indicator of the financial asset'"'"'s strength for determining the financial asset'"'"'s market value;

automatically analyzing a relationship between the financial asset and a financial market through use of computed correlation coefficients; and

automatically predicting a future performance of the financial asset.

44. The method according to claim 41, further comprising the step of automatically updating the computation of the indicator, the analysis of the relationship, and the prediction of future performance of the financial asset on a real time basis.

45. The method according to claim 41, further comprising the step of automatically providing said analysis on a single web page.

46. The method according to claim 41, further comprising the step of automatically filtering information relevant to the financial asset.

47. A method for automatically providing analysis relating to financial assets, comprising:

providing a computer;

storing historical data of a financial asset on a database accessible by said computer;

retrieving historical data of the financial asset stored on said database;

retrieving a feed of real time data relating to the financial asset;

generating a measure of volatility of the financial asset based upon the historical data;

generating a measure of historical performance of the financial asset based upon the historical data;

evaluating a rate of return of the financial asset based upon the historical data; and

automatically analyzing a relationship between the financial asset and a financial market based upon a computed correlation coefficient selected from the group consisting of beta, value-at-risk, sharpe ratio, and combinations thereof;

predicting future performance of the financial asset based upon the historical data; and

automatically generating analysis based upon the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the analysis of the relationship between the financial asset and financial market, and the prediction of future performance of the financial asset.

48. The method according to claim 47, further comprising the step of automatically updating the historical data, feed of real time data, the measure of volatility, the measure of historical performance, the rate of return, the prediction of future performance of the financial asset, and the analysis on a real time basis.

49. The method according to claim 47, further comprising the step of automatically computing an indicator of the financial asset'"'"'s strength for determining the financial asset'"'"'s market value;

automatically determining whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern; and

automatically analyzing a relationship between the financial asset and financial market through use of computed correlation coefficients.

50. The method according to claim 47, further comprising the step of automatically updating the computation of the indicator, the determination as to whether or not the financial asset'"'"'s performance is generally similar to any predictable pattern, and the analysis of the relationship between the financial asset and financial market on a real time basis.

51. The method according to claim 47, further comprising the step of automatically providing said analysis on a single web page.

52. The method according to claim 47, further comprising the step of automatically filtering information relevant to the financial asset.