# US 8,560,420 B2 · Calculating predictive technical indicators

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- Number: US 8,560,420 B2
- Document ID: US8560420B2
- Status: Granted
- Kind: B2
- Application number: 12/632,291
- Filed: 2009-12-07
- Published: 2011-06-09
- Granted: 2013-10-15
- Earliest claimed: 2009-12-07
- Assignees: Predictive Technologies Group, LLC
- Applicants: Louis B. Mendelsohn
- Inventors: Louis B. Mendelsohn
- Web page: https://patentgrep.com/patent/US8560420B2

## CPC

- G06Q 40/04: Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
- G06Q 10/067: Enterprise or organisation modelling
- G06Q 40/06: Asset management; Financial planning or analysis
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR

## Abstract

A suite of predictions is defined to model the financial data commonly used to calculate technical indicators one or more periods in the future. Neural networks are trained to make these predictions. The predictions are then integrated with the standard technical indicator calculations to produce predictive technical indicators which are superior because they lead more and lag less.

## Claims

### Claim 1

A method of calculating a technical indicator of a financial market using a computer, the method comprising the steps of:
inputting to the computer historical time series data relating to the market from a server comprising a database of historical time series data for the market;
inputting to the computer predicted future time series data relating to the market;
using the computer to process the historical data and the predicted future time series data to calculate the technical indicator; and
outputting the calculated technical indicator, wherein the predicted future time series data relating to the market is obtained from a predictive server that uses intermarket analysis data to train a neural network to predict financial time series data for the market.

### Claim 2 (depends on 1)

The method of claim 1, wherein the predictive server comprises at least four selected from the group consisting of: a market manager component, an historical data manager, a neural network trainer, a trading application builder, an intermarket analysis component, a technical analysis component, a predictive technical analysis component, and a predictive server database.

### Claim 3 (depends on 2)

The method of claim 2, wherein the predictive server comprises a market manager component, an historical data manager, a neural network trainer, a trading application builder, an intermarket analysis component, a technical analysis component, a predictive technical analysis component, and a predictive server database.

### Claim 4 (depends on 1)

The method of claim 1, wherein the calculated technical indicator is communicated to a trading application via a communications network.

### Claim 5 (depends on 2)

The method of claim 2, wherein the trading application comprises a watch lists component, a charts component, a grids component, a reports component, an intermarket analysis component, a technical analysis component, a predictive technical analysis component, and a predicative trader database.

### Claim 6 (depends on 1)

The method of claim 1, wherein the market is a stock market or other securities market.

### Claim 7 (depends on 1)

The method of claim 1, wherein the market is a commodity market or futures market.

### Claim 8 (depends on 1)

The method of claim 1, wherein the market is a currency market.

### Claim 9

A system for calculating a technical indicator of a market, the system comprising:
a first server comprising a database of historical time series data for the market;
a second server configured to use intermarket analysis data to train a neural network to generate predicted future financial time series data for the market; and
a computer in communication with the first and second servers, and comprising computer-usable program code that uses both historical time series data for the market and the predicted future financial time series data for the market to calculate the technical indicator.

### Claim 10 (depends on 9)

The system of claim 9, wherein the second server comprises a market manager component, an historical data manager, a neural network trainer, a trading application builder, an intermarket analysis component, a technical analysis component, a predictive technical analysis component, and a predictive server database.

### Claim 11 (depends on 9)

The system of claim 9, wherein the system further comprises a trading application, and the calculated technical indicator is communicated to the trading application via a communications network.

### Claim 12 (depends on 11)

The system of claim 11, wherein the trading application comprises a watch lists component, a charts component, a grids component, a reports component, an intermarket analysis component, a technical analysis component, a predictive technical analysis component, and a predicative trader database.

### Claim 13 (depends on 9)

The system of claim 9, wherein the market is a stock market or other securities market.

### Claim 14 (depends on 9)

The system of claim 9, wherein the market is a commodity market or futures market.

### Claim 15 (depends on 9)

The system of claim 9, wherein the market is a currency market.