What patents does Alphacat use for digital asset management?

2–23–2018

Core Patent 1: Automatic analysis of financial assets.

United States Patent Link:

http://patft.uspto.gov/netacgi/nph-Parser?Sect2=PTO1&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-bool.html&r=1&f=G&l=50&d=PALL&RefSrch=yes&Query=PN%2F6453303

United States Patent

6,453,303

Li

September 17, 2002

Automated analysis for financial assets

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.

Inventors:

Li; Bin (Westport, CT)

Assignee:

Westport Financial LLC (Westport, CT)

Family ID:

22528665

Appl. No.:

09/640,107

Filed:

August 15, 2000

Current U.S. Class:

705/36R

Current International Class:

G06Q 40/00 (20060101); G06F 017/60 ()

Current CPC Class:

G06Q 40/02 (20130101); G06Q 40/06 (20130101); G06Q 40/08 (20130101)

Field of Search:

705/1,35,36,37,10 707/10,100

Core Patent 2: Financial product prediction system.

United States Patent Link:

http://patft.uspto.gov/netacgi/nph-Parser?Sect2=PTO1&Sect2=HITOFF&p=1&u=/netahtml/PTO/search-bool.html&r=1&f=G&l=50&d=PALL&RefSrch=yes&Query=PN/6735580

United States Patent

6,735,580

Li , et al.

May 11, 2004

Artificial neural network based universal time series

Abstract

A neural network based universal time series prediction system for financial securities includes a pipelined recurrent ANN architecutre having a plurality of identical modules to first adjust internal weights and biases in response to a first training set representing a nonlinear financial time series of samples of a financial quantity and a target value, and then determine and store an estimated prediction error of the ANN in order to adjust short time stock price predictions in accordance with the stored prediction error. The prediction system is also designed to output upper and lower prediction bounds within a confidence region.

Inventors:

Li; Liang (Mission Viejo, CA), Tang; Yi (Kendall Park, NJ), Li; Bin (Westport, CT), Wu; Xiaohua (Mission Viejo, CA)

Assignee:

Westport Financial LLC (Westport, CT)

Family ID:

32232966

Appl. No.:

09/648,878

Filed:

August 25, 2000

Current U.S. Class:

706/21 ; 706/30; 706/925

Current International Class:

G06N 3/00 (20060101); G06N 3/04 (20060101); G06F 015/18 ()

Current CPC Class:

G06N 3/049 (20130101)

Field of Search:

706/30,21,925,15,19 705/10,35

Core Patent 3: Investment graphic automatic search system for technical.

United States Patent Link:

http://patft.uspto.gov/netacgi/nph-Parser?Sect2=PTO1&Sect2=HITOFF&p=1&u=/netahtml/PTO/search-bool.html&r=1&f=G&l=50&d=PALL&RefSrch=yes&Query=PN/6832210

United States Patent

6,832,210

Li

December 14, 2004

Market neutral pairtrade model

Abstract

A process for implementing a market neutral relative value strategy to provide up-to-the-minute equity trading recommendations includes selecting pairtrades, each having both high correlation coefficient and high de-trended correlation coefficient. The de-trended coefficient is determined for a time interval selected such that a starting price of one of the stocks of a pairtrade is substantially equal its ending price. The process further includes calculating an optimal financial hedge ratio by determining regression slopes of the stocks in each selected pairtrade with respect to one another. The selected pairs are further compared with a plurality of templates to select only valid pairtrades whose amplitude and number of crosses through and deviations from the regression line match at least one of the templates. Applying a modified LaGrange-Urenbeck process to determine the optimal cut-loss and profit taking boundaries further optimizes each of the valid pairtrades.

Inventors:

Li; Bin (Westport, CT)

Assignee:

Westport Financial LLC (Westport, CT)

Family ID:

33492659

Appl. No.:

09/639,325

Filed:

August 16, 2000

Current U.S. Class:

705/36R ; 705/37

Current International Class:

G06F 017/60 ()

Current CPC Class:

G06Q 40/04 (20130101); G06Q 40/06 (20130101)

Field of Search:

705/36

Core Patent 4: Market neutral pairing trading model.

United States Patent Link:

http://patft.uspto.gov/netacgi/nph-Parser?Sect2=PTO1&Sect2=HITOFF&p=1&u=/netahtml/PTO/search-bool.html&r=1&f=G&l=50&d=PALL&RefSrch=yes&Query=PN/6907404

United States Patent

6,907,404

Li

June 14, 2005

**Please see images for: ( Certificate of Correction ) **

Automated investment chart pattern search system for technical analysis

Abstract

An automated investment chart pattern search system is provided. The system includes a computer, a historical information database accessible by the computer having historical information for a plurality of investments stored thereon, a connection to a supply of real-time data, the real time data comprising real-time data relating to a plurality of investments, and a templates database accessible by the computer having a plurality of templates stored thereon. Software executing on the computer generates an investment chart for the investment to be examined based upon the historical information and the real-time data relating to the investment to be examined. Software executing on the computer then retrieves at least one template from the templates database, and performs geometric projection analysis on the retrieved template and the investment chart to determine if a pattern exists in the investment chart. Next, software executing on the computer retrieves at least one template from the templates database, and performs template matching analysis on the retrieved template and the investment chart to determine if a pattern exists in the investment chart. Software executing on the computer then performs projection line analysis on the investment chart to determine if a pattern exists in the investment chart.

Inventors:

Li; Bin (Westport, CT)

Assignee:

Westport Financial LLC. (Westport, CT)

Family ID:

34635990

Appl. No.:

09/640,030

Filed:

August 16, 2000

Current U.S. Class:

705/36R ; 705/35; 705/38; 705/39

Current International Class:

G06F 017/60 ()

Current CPC Class:

G06Q 20/10 (20130101); G06Q 40/00 (20130101); G06Q 40/025 (20130101); G06Q 40/04 (20130101); G06Q 40/06 (20130101)

Field of Search:

705/35,36,37

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