APPARATUS FOR AUTOMATIC FINANCIAL PORTFOLIO MONITORING AND ASSOCIATED METHODS

• US 20100217725A1
• Filed: 02/24/2010
• Published: 08/26/2010
• Est. Priority Date: 02/24/2009
• Status: Abandoned Application

• Current Assignee: Bertolini Incorporated, Two Rivers Investments Management Ltd.
• Original Assignee: Bertolini Incorporated
• Inventors: Townrow, Michael Lawson, Clyne, Miles A.
• Application Number:
  US12/711,997
• Publication Number:
  US 20100217725A1
• Time in Patent Office: Days
• US Class Current: 705/36.R
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis

Abstract

A tool for use by financial professionals such as portfolio managers monitors values of assets in portfolios and maintains buy and sell levels for the assets. The tool can be configured to recommend the sale of an asset where the asset value has increased in a gain run by at least the corresponding sell level and the value of the asset in the portfolio is more than a target allocation. The tool can be configured to recommend the purchase of an asset where the asset value has decreased in a drop run by at least the corresponding buy level and the value of the asset in the portfolio is less than a target allocation. The tool may monitor a balance in a non-volatile account and coordinate the transfer of funds from sales of assets into the non-volatile account. Machine implemented methods can assist management of financial portfolios.

Claims

1. Apparatus for use in managing financial portfolios, the apparatus comprising a processor and a program store containing instructions configured to cause the processor to:

identify gain runs and drop runs in historical value data for an asset;

determine statistical information regarding the gain runs and drop runs in the historical value data; and

set a buy level for the asset based at least in part upon the statistical information regarding the drop runs and a sell level for the asset based at least in part upon the statistical information for the gain runs.

2. Apparatus according to claim 1 wherein the instructions are configured to cause the processor to set the buy level based upon an average drop per drop run in the historical value data.

3. Apparatus according to claim 1 wherein the instructions are configured to cause the processor to set the sell level based upon an average gain per gain run in the historical value data.

4. Apparatus according to claim 1 comprising a parameter store configured to store one or more parameter values wherein the parameter values include at least a gain end value, the gain end value is negative, and identifying gain runs comprises identifying sequences of periods in the historical value data for the asset over which the value of the asset increases and the amount of increase in each period is at least the gain end value.

5. Apparatus according to claim 1 comprising a parameter store configured to store one or more parameter values wherein the parameter values include at least a drop end value, the drop end value is positive, and identifying drop runs comprises identifying sequences of periods in the historical value data for the asset over which the value of the asset decreases and the amount of decrease in each period is at least the drop end value.

6. Apparatus according to claim 1 wherein the instructions are configured to cause the processor to:

obtain current value data for the asset; and

,

determine a change in value of the asset for a current run.

7. Apparatus according to claim 6 wherein the instructions are configured to cause the processor to:

output a recommendation to sell the asset if the change in value of the asset for the current run is positive and at least the sell level.

8. Apparatus according to claim 7 wherein the recommendation to sell the asset comprises a sell amount, the sell amount equal to the lesser of an entire amount of the asset in the portfolio and a value adjustment for the asset, wherein the value adjustment is determined based on a comparison of an actual total value of the asset in the portfolio and a desired allocation for the asset in the portfolio.

9. Apparatus according to claim 7 wherein the instructions are configured to cause the processor to:

output a recommendation to purchase the asset if the change in value of the asset for the current run is negative and at least the buy level.

10. Apparatus according to claim 9 wherein the recommendation to purchase the asset comprises a purchase amount, the purchase amount equal to the lesser of an amount corresponding to a current amount in a safe fund of the portfolio and a value adjustment for the asset, wherein the value adjustment is determined based on a comparison of an actual total value of the asset in the portfolio and a desired allocation for the asset in the portfolio.

11. Apparatus according to claim 9 wherein the instructions are configured to cause the processor to:

automatically implement recommended sales and purchases by sending sale and purchase requests over an electronic communications network.

12. Apparatus for use in managing financial portfolios, the apparatus comprising a processor and a program store containing instructions configured to cause the processor to:

identify gain runs and drop runs in value data for an asset;

compare a gain in value for the asset in a current gain run to a sell level; and

output a recommendation to sell the asset if the gain in value for the current gain run is at least the sell level.

13. Apparatus according to claim 12 wherein the instructions are configured to cause the processor to:

compare a drop in value for the asset in a current drop run to a buy level; and

output a recommendation to purchase the asset if the drop in value for the current drop run is at least the buy level.

14. An automated method for use in managing financial portfolios, the method comprising:

automatically identifying gain runs and drop runs in historical value data for an asset stored in an asset information database;

extracting, with a statistical processor, statistical information regarding the gain runs and drop runs in the historical value data; and

setting a buy level for the asset based at least in part upon the statistical information regarding the drop runs and a sell level for the asset based at least in part upon the statistical information for the gain runs.

15. A method according to claim 14 comprising:

obtaining current value data for the asset; and

,

determining a change in value of the asset for a current run.

16. A method according to claim 15 comprising:

outputting a recommendation to sell the asset if the change in value of the asset for the current run is positive and at least the sell level.

17. A method according to claim 16 comprising:

outputting a recommendation to purchase the asset if the change in value of the asset for the current run is negative and at least the buy level.

18. A method according to claim 17 comprising:

automatically implementing recommended sales and purchases by sending sale and purchase requests over an electronic communications network.

19. An automated method for use in managing financial portfolios, the method comprising:

identifying gain runs and drop runs in value data for an asset stored in an asset information database;

comparing a gain in value for the asset in a current gain run to a sell level; and

outputting a recommendation to sell the asset if the gain in value for the current gain run is at least the sell level.

20. A method according to claim 19 comprising

comparing a drop in value for the asset in a current drop run to a buy level;

and

outputting a recommendation to purchase the asset if the drop in value for the current drop run is at least the buy level.