METHODS AND SYSTEM FOR FINANCIAL INSTRUMENT CLASSIFICATION

• US 20150221038A1
• Filed: 02/06/2015
• Published: 08/06/2015
• Est. Priority Date: 08/16/2011
• Status: Abandoned Application

• Current Assignee: Stockato LLC
• Original Assignee: Stockato LLC
• Inventors: KARTOUN, Uri, KARTOUN, David
• Application Number:
  US14/615,449
• Publication Number:
  US 20150221038A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis

Abstract

The invention relates generally to financial instrument classification and more particularly to methods and system for recognizing similarities in behaviors among financial instruments. According to one embodiment, a method of classifying similar financial instruments is provided. Classification analysis is performed on a desired financial instrument that a user specifies to determine other financial instruments that behave similarly to the specified financial instrument during a specified time range. Based on the classification, the similarly behaving financial instruments and additional characteristics are presented to the user for evaluation and tracking.

Claims

1. A computer-implemented method comprising the steps of:

a) accessing an interface executed on a user device, to;

i. specify a financial instrument; and

ii. specify a time-range; and

b) accessing a server device coupled to one or more electronic communication networks, wherein said server device is configured to;

i. receive the financial instrument and the time-range specified by said user;

ii. perform classification analysis on the financial instrument, the time-range and other financial instruments, comprising a classification module configured to;

A. calculate the level of similarity between the specified financial instrument and each other financial instruments based upon changes in prices during the specified time-range;

B. compare the level of similarity of each combination of the specified financial instrument and another financial instrument with a pre-determined similarity threshold; and

C. retrieve from a database a sub-set of financial instruments that their level of similarity to the specified financial instrument exceed the pre-defined similarity threshold; and

iii. provide to the user device via said electronic communication network the retrieved financial instruments.

2. The classification method of claim 1, wherein said server device is configured to calculate similarity of retrieved financial instruments with respect to said particular financial instrument based on classification analysis and wherein said level of similarity of behavior is presented on said interface in a form of a ranking measure indicating the level of similarity between said particular financial instrument and each one of said retrieved financial instruments.

3. The classification method of claim 1, wherein said interface is configured to allow a user to specify a time range determined by a starting time and an ending time.

4. The classification method of claim 1, wherein said classification analysis is performed on time-dependent numbers that represent prices of the financial instruments;

and wherein said prices are adjusted to represent the effect of benefits provided by said particular financial instrument and said retrieved financial instruments.

5. The classification method of claim 1, wherein said interface is further configured to allow a user to specify a particular financial instrument that includes a set of time-dependent numbers that represent prices for a custom generated market index, and wherein said market index is an aggregated value obtained from a weighted sum of prices of financial instruments.

6. The classification method of claim 1, wherein said interface is further configured to display said retrieved financial instruments on a display unit coupled to operate with at least one processor.

7. The classification method of claim 1, wherein said server device is further configured to retrieve said retrieved financial instruments from a remote database, over a data network.

8. The classification method of claim 7, wherein said server device is further configured to retrieve from a database indicators for each of said respective financial instruments derived from performing the classification analysis of claim 1.

9. The classification method of claim 1, wherein said interface is further configured to allow a user to specify custom abbreviations to uniquely identify custom generated time series representing a hypothetical trading.

10. A computer software product for interactively selecting financial instruments, comprising:

a) an interface executed on a user device, to;

i. specify a financial instrument; and

ii. specify a time-range; and

b) a server device coupled to one or more electronic communication networks, wherein said server device is configured to;

i. receive the financial instrument and the time-range specified by said user;

ii. perform classification analysis on the financial instrument, the time-range and other financial instruments, comprising a classification module configured to;

A. calculate the level of similarity between the specified financial instrument and each other financial instruments based upon changes in prices during the specified time-range;

B. compare the level of similarity of each combination of the specified financial instrument and another financial instrument with a pre-determined similarity threshold; and

C. retrieve from a database a sub-set of financial instruments that their level of similarity to the specified financial instrument exceed the pre-defined similarity threshold; and

iii. provide to the user device via said electronic communication network the retrieved financial instruments.

11. The computer software product of claim 10, wherein said server device is configured to store in a database said retrieved financial instruments.

12. The computer software product of claim 10, wherein said interface is configured to allow a user to specify a time range determined by a starting time and an ending time.

13. The computer software product of claim 10, wherein said server device is further configured to store in a database indicators derived from performing the classification analysis of claim 10 for said specified financial instrument and for said retrieved financial instruments.

14. The computer software product of claim 10, wherein said user device is configured to send a financial instrument and a time-range over a network between the user device and said database.

15. The computer software product of claim 10, wherein said interface is further configured to allow a user to specify a financial instrument and a time-range, as well as to view similarly behaving financial instruments that exceed the pre-defined similarity threshold of claim 10 and additional indicators derived from performing the classification analysis of claim 10.

16. A system for classifying financial instruments, comprising:

a) at least one classifying server having a server processor and a classifying database;

b) at least one user computer, including a display; and

c) a public financial instruments database operatively connected to said classifying server, to allow a user to send a request to said classifying server, wherein said request includes a specific financial instrument and criteria time-range from said, and wherein in response to the user interacting with said at least one user computer, receiving said specific financial instrument and said time-range from said at least one user computer at said at least one classifying server performing a classification analysis;

i. to identify in said public financial instruments database financial instruments that behave similarly to said specific financial instrument during said time-range;

ii. to calculate a similarity rank using a classification module between every two financial instruments to thereby create classification results;

iii. to store said classification results in said classifying database; and

iv. to send said classification results to said user computer.