IP Library Granted Patent US 12,211,057
Granted Patent B2
US 12,211,057 · App. 18/478,370 · Granted Jan 28, 2025

Future trends forecasting system

Inventors: Kevin Bradley Marsh (Union, KY); Brad Wilson (Nashville, TN); Robin Hanson (Nashville, TN)
Assignee: CRG PREDICTIVE INTELLIGENCE, INC.
G06Q30/0202G06F3/04847G06Q40/00G06Q40/04G06Q40/06G06F3/04842G06Q10/00G06Q10/10G06Q20/10G06Q30/02G06Q30/0203G06Q40/02G06Q40/08
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Quick Facts
Patent No.
US 12,211,057
App. No.
18/478,370
Granted
Jan 28, 2025
Kind
B2
Abstract

Systems and methods for future trends forecasting based on prediction market probability estimates. Alternative simulated starting values for prediction markets are used in order to determine the preferred starting values for prediction markets to use in volumetric forecasting. A user interface that facilitates using prediction market probability estimates to determine future trends forecasts is described herein.

Claims (41)

1. A prediction market apparatus comprising:

a computer including a processor and a memory running a software providing:

a transaction interface;

administrative controls operable to provide for adjustment of a market fulcrum; and

a forecasting system;

wherein the software calculates and displays in the transaction interface a quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens associated with single action; and

wherein the forecasting system is operable to determine a forecast based on the single action and the quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens.

2. The apparatus of claim 1 , wherein the value of stock, currency, points, or tokens is determined based on a logarithmically spaced price ladder for the stock, currency, points, or tokens, wherein the software is operable to automatically update the logarithmically spaced price ladder for the stocks, currency, points, or tokens based on the single action involving the quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens.

3. The apparatus of claim 1 , wherein the administrative controls provide for selective adjustment of sensitivity.

4. The apparatus of claim 1 , wherein the administrative controls provide for selective adjustment of liquidity.

5. The apparatus of claim 1 , wherein the administrative controls provide for selective adjustment of window.

6. The apparatus of claim 1 , wherein a starting point for the quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens associated with the single action is pre-defined.

7. The apparatus of claim 1 , wherein the forecasting system includes a machine learning algorithm operable to transform a set of actions including the single action involving the quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens into predictive data.

8. The apparatus of claim 1 , wherein the forecast includes a rationale for a trend, wherein the rationale for the trend is determined utilizing a machine learning algorithm, and wherein the forecast is updated based on a subsequent action received through the transaction interface.

9. The apparatus of claim 1 , wherein the forecast includes a growth likelihood, a segment or a brand, a timing, or a rationale for a trend, wherein the growth likelihood, the segment or the brand, the timing, or the rationale for the trend is calculated by the machine learning algorithm, and wherein the forecast is updated based on a subsequent action received through the transaction interface.

10. A prediction market apparatus comprising:

a computer including a processor and a memory running a software providing:

a transaction interface;

administrative controls operable to provide for adjustment of a market fulcrum; and

a forecasting system;

wherein the software calculates and displays in the transaction interface a quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens;

wherein the transaction interface further includes an interface permitting buying or selling the quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens with a single action;

wherein the software is operable to determine a forecast based on a single action and the quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens; and

wherein the forecasting system is operable to determine a forecast based the quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens.

11. The apparatus of claim 10 , wherein the value of stock, currency, points, or tokens is determined based on a logarithmically spaced price ladder for the stock, currency, points, or tokens, wherein the software is operable to automatically update the logarithmically spaced price ladder for the stocks, currency, points, or tokens based on the quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens.

12. The apparatus of claim 10 , wherein administrative controls provide for selective adjustment of sensitivity.

13. The apparatus of claim 10 , wherein administrative controls provide for selective adjustment of liquidity.

14. The apparatus of claim 10 , wherein administrative controls provide for selective adjustment of window.

15. The apparatus of claim 10 , wherein a starting point for the quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens is pre-defined.

16. The apparatus of claim 10 , wherein the forecasting system includes a machine learning algorithm operable to transform a set of actions involving the quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens into predictive data.

17. The apparatus of claim 10 , wherein the forecast includes a rationale for a trend, wherein the rationale for the trend is determined utilizing a machine learning algorithm, and wherein the forecast is updated based on a subsequent action received through the transaction interface.

18. The apparatus of claim 10 , wherein the forecast includes a growth likelihood, a segment or a brand, a timing, or a rationale for a trend, wherein the growth likelihood, the segment or the brand, the timing, or the rationale for the trend is calculated by the machine learning algorithm, and wherein the forecast is updated based on a subsequent action received through the transaction interface.

19. A prediction market apparatus comprising:

a computer including a processor and a memory running a software providing:

a market maker; and

a transaction interface; and

administrative controls operable to provide for adjustment of a market fulcrum;

wherein the market maker calculates and displays in the transaction interface a quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens;

wherein the market maker is operable to determine a forecast based on a single action and the quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens; and

wherein the transaction interface further includes an interface permitting buying or selling the quantity of stock, currency, points, or tokens or the value of stock, currency, points, or tokens.

20. The apparatus of claim 19 , wherein administrative controls provide for selective adjustment of sensitivity, window, and liquidity.

Assignments (4)
CHANGE OF NAME Recorded Dec 6, 2024
From: CRG PREDICTIVE ANALYTICS INC.
To: CRG PREDICTIVE INTELLIGENCE, INC.
Reel/Frame 069533/0361 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 22, 2024
From: CONSENSUS POINT, INC.
To: CRG PREDICTIVE ANALYTICS INC.
Reel/Frame 069371/0389 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 2, 2023
From: MARSH, KEVIN BRADLEY
To: CONSENSUS POINT, INC.
Reel/Frame 065087/0252 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 2, 2023
From: WILSON, BRAD; HANSON, ROBIN
To: CONSENSUS POINT, INC.
Reel/Frame 065087/0279 →
Continuity (13)
Continuation 17498380 · Oct 11, 2021
Continuation 16562923 · Sep 6, 2019
Continuation In Part 15352116 · Nov 15, 2016
Continuation In Part 15218718 · Jul 25, 2016
Continuation In Part 14963349 · Dec 9, 2015
Continuation In Part 14142327 · Dec 27, 2013
Continuation In Part 14142327 · Dec 27, 2013
Continuation 14066344 · Oct 29, 2013
Continuation In Part 14066344 · Oct 29, 2013
Continuation 13278424 · Oct 21, 2011
Provisional Application 61746825 · Dec 28, 2012
Provisional Application 61405352 · Oct 21, 2010
Related Publication 20240029090A1 · Jan 25, 2024
References Cited (159)
US 4603232A · Kurland et al. · 1986 [cited by applicant]
US 5124911A · Sack · 1992 [cited by applicant]
US 5740035A · Cohen et al. · 1998 [cited by applicant]
US 5970467A · Alavi · 1999 [cited by applicant]
US 5999918A · Williams et al. · 1999 [cited by applicant]
US 6012051A · Sammon et al. · 2000 [cited by applicant]
US 6093026A · Walker et al. · 2000 [cited by applicant]
US 6233564B1 · Schulze · 2001 [cited by applicant]
US 6233566B1 · LeVine et al. · 2001 [cited by applicant]
US 6260019B1 · Courts · 2001 [cited by applicant]
US 6272474B1 · Garcia · 2001 [cited by examiner]
US 6321179B1 · Glance et al. · 2001 [cited by applicant]
US 6405180B2 · Tilfors et al. · 2002 [cited by applicant]
US 6535856B1 · Tal · 2003 [cited by applicant]
US 6684190B1 · Powers et al. · 2004 [cited by applicant]
US 6826541B1 · Johnston et al. · 2004 [cited by applicant]
US 6865578B2 · Hays · 2005 [cited by applicant]
US 6912511B1 · Eliezer et al. · 2005 [cited by applicant]
US 6993495B2 · Smith et al. · 2006 [cited by applicant]
US 6999987B1 · Billingsley et al. · 2006 [cited by applicant]
US 7120928B2 · Sheth et al. · 2006 [cited by applicant]
US 7191143B2 · Keli et al. · 2007 [cited by applicant]
US 7299204B2 · Peng et al. · 2007 [cited by applicant]
US 7308418B2 · Malek et al. · 2007 [cited by applicant]
US 7337135B1 · Findlay et al. · 2008 [cited by applicant]
US 7356498B2 · Kaminsky et al. · 2008 [cited by applicant]
US 7386499B2 · Kocher · 2008 [cited by applicant]
US 7398223B2 · Kahlert et al. · 2008 [cited by applicant]
US 7451213B2 · Kaplan · 2008 [cited by applicant]
US 7509278B2 · Jones · 2009 [cited by applicant]
US 7546543B2 · Louch et al. · 2009 [cited by applicant]
US 7599876B1 · Lo et al. · 2009 [cited by applicant]
US 7664670B1 · Weiss · 2010 [cited by applicant]
US 7693808B2 · Tingling · 2010 [cited by applicant]
US 7707062B2 · Abramowicz · 2010 [cited by applicant]
US 7765491B1 · Cotterill · 2010 [cited by applicant]
US 7827203B2 · Keil et al. · 2010 [cited by applicant]
US 7835972B2 · Almeida et al. · 2010 [cited by applicant]
US 7873535B2 · Umblijs et al. · 2011 [cited by applicant]
US 7904331B2 · Keil et al. · 2011 [cited by applicant]
US 7908166B2 · Keil et al. · 2011 [cited by applicant]
US 7921031B2 · Crysel et al. · 2011 [cited by applicant]
US 7958006B2 · Keil et al. · 2011 [cited by applicant]
US 7970676B2 · Feinstein · 2011 [cited by applicant]
US 7970722B1 · Owen et al. · 2011 [cited by applicant]
US 7987130B2 · Waldron et al. · 2011 [cited by applicant]
US RE42869E · Boe et al. · 2011 [cited by applicant]
US 8086481B2 · Smith · 2011 [cited by applicant]
US 8090614B2 · Ford et al. · 2012 [cited by applicant]
US 8121891B2 · Handel et al. · 2012 [cited by applicant]
US 8285632B2 · Heyman et al. · 2012 [cited by applicant]
US 8290810B2 · Ramer et al. · 2012 [cited by applicant]
US 8306849B2 · Graham et al. · 2012 [cited by applicant]
US 8321417B2 · Davids · 2012 [cited by applicant]
US 8380595B1 · Fogarty · 2013 [cited by applicant]
US 8396777B1 · Fine et al. · 2013 [cited by applicant]
US 8448204B2 · Johnson et al. · 2013 [cited by applicant]
US 8533846B2 · Rivera · 2013 [cited by applicant]
US 8540514B2 · Gosling · 2013 [cited by applicant]
US 8560966B2 · Cotterill · 2013 [cited by applicant]
US 8583470B1 · Fine et al. · 2013 [cited by applicant]
US 9679568B1 · Taubman et al. · 2017 [cited by applicant]
US 10282718B1 · Lincoln et al. · 2019 [cited by applicant]
US 20020002520A1 · Gatto · 2002 [cited by applicant]
US 20020013760A1 · Arora et al. · 2002 [cited by applicant]
US 20020026390A1 · Ulenas et al. · 2002 [cited by applicant]
US 20020049628A1 · West et al. · 2002 [cited by applicant]
US 20020152110A1 · Stewart et al. · 2002 [cited by applicant]
US 20020184041A1 · Muller · 2002 [cited by applicant]
US 20030004858A1 · Schmitz et al. · 2003 [cited by applicant]
US 20030046140A1 · Callahan et al. · 2003 [cited by applicant]
US 20030050928A1 · Hays · 2003 [cited by applicant]
US 20030105773A1 · Linde et al. · 2003 [cited by applicant]
US 20030126010A1 · Barns-Slavin · 2003 [cited by applicant]
US 20030135445A1 · Herz et al. · 2003 [cited by applicant]
US 20030172019A1 · Getty · 2003 [cited by applicant]
US 20040019554A1 · Merold et al. · 2004 [cited by applicant]
US 20040039579A1 · Chithambaram et al. · 2004 [cited by applicant]
US 20040064357A1 · Hunter et al. · 2004 [cited by applicant]
US 20040064394A1 · Wallman · 2004 [cited by applicant]
US 20050091146A1 · Levinson · 2005 [cited by examiner]
US 20050091147A1 · Ingargiola · 2005 [cited by examiner]
US 20050101381A1 · Hattori · 2005 [cited by applicant]
US 20060069635A1 · Ram et al. · 2006 [cited by applicant]
US 20060106743A1 · Horvitz · 2006 [cited by applicant]
US 20060235786A1 · DiSalvo · 2006 [cited by examiner]
US 20060271467A1 · Wasendorf · 2006 [cited by examiner]
US 20060282369A1 · White · 2006 [cited by applicant]
US 20070067233A1 · Dalal · 2007 [cited by examiner]
US 20070073606A1 · Lai · 2007 [cited by applicant]
US 20070100722A1 · Ferguson et al. · 2007 [cited by applicant]
US 20070112662A1 · Kumar · 2007 [cited by applicant]
US 20070130040A1 · Stinski · 2007 [cited by applicant]
US 20070208654A1 · Stearns · 2007 [cited by applicant]
US 20070250429A1 · Walser et al. · 2007 [cited by applicant]
US 20070265954A1 · Mather et al. · 2007 [cited by applicant]
US 20080033773A1 · Brazell · 2008 [cited by applicant]
US 20080195459A1 · Stinski · 2008 [cited by applicant]
US 20080270317A1 · Waldron et al. · 2008 [cited by applicant]
US 20080288326A1 · Abramowicz · 2008 [cited by examiner]
US 20080294498A1 · Adrien et al. · 2008 [cited by applicant]
US 20080313560A1 · Dalal · 2008 [cited by examiner]
US 20080319825A1 · Lacomb et al. · 2008 [cited by applicant]
US 20090043623A1 · Blades et al. · 2009 [cited by applicant]
US 20090063359A1 · Connors · 2009 [cited by applicant]
US 20090076939A1 · Berg et al. · 2009 [cited by applicant]
US 20090076974A1 · Berg et al. · 2009 [cited by applicant]
US 20090089198A1 · Kroutik · 2009 [cited by applicant]
US 20090106084A1 · Or · 2009 [cited by applicant]
US 20090177553A1 · Short et al. · 2009 [cited by applicant]
US 20090182624A1 · Koen et al. · 2009 [cited by applicant]
US 20090254475A1 · Pennock et al. · 2009 [cited by applicant]
US 20090259597A1 · Wallman · 2009 [cited by applicant]
US 20090307147A1 · Ruggie · 2009 [cited by applicant]
US 20090327163A1 · Swan et al. · 2009 [cited by applicant]
US 20100004987A1 · Benschop · 2010 [cited by applicant]
US 20100145773A1 · Desai et al. · 2010 [cited by applicant]
US 20100185564A1 · King et al. · 2010 [cited by applicant]
US 20100217685A1 · Melcher et al. · 2010 [cited by applicant]
US 20100250391A1 · Yruski et al. · 2010 [cited by applicant]
US 20100268639A1 · Feinstein et al. · 2010 [cited by applicant]
US 20100324971A1 · Morsberger · 2010 [cited by applicant]
US 20110022307A1 · Lee · 2011 [cited by applicant]
US 20110087583A1 · Shrem · 2011 [cited by applicant]
US 20110173018A1 · Hoffner et al. · 2011 [cited by applicant]
US 20110251954A1 · Chin · 2011 [cited by applicant]
US 20120072334A1 · Feinstein et al. · 2012 [cited by applicant]
US 20120101933A1 · Hanson et al. · 2012 [cited by applicant]
US 20120166252A1 · Walker · 2012 [cited by applicant]
US 20120221486A1 · Leidner et al. · 2012 [cited by applicant]
US 20120246048A1 · Cohen et al. · 2012 [cited by applicant]
US 20130035981A1 · Brown et al. · 2013 [cited by applicant]
US 20130297485A1 · Whitney · 2013 [cited by applicant]
US 20130304567A1 · Adrien et al. · 2013 [cited by applicant]
US 20140365356A1 · Gao et al. · 2014 [cited by applicant]
US 20150317589A1 · Anderson et al. · 2015 [cited by applicant]
US 20160092989A1 · Marsh · 2016 [cited by applicant]
US 20170116670A1 · Carroll et al. · 2017 [cited by applicant]
US 20170301013A1 · Alejo et al. · 2017 [cited by applicant]
US 20200005341A1 · Marsh et al. · 2020 [cited by applicant]
US 20220028000A1 · Marsh et al. · 2022 [cited by applicant]
WO 0186532A1 · 2001 [cited by applicant]
Trend Feature Mining Algorithm Based on Financial Time Series (Year: 2010). [cited by examiner]
Future trend of the Shanghai stock market, IEEE (Year: 2002). [cited by examiner]
Almenberg, J., Kittlitz, K., & Pfeiffer, T. (2009). An experiment on prediction markets in science. PLOS ONE, 4(12) doi: http://dx.doi .org/10.1371 /journal.pone.0008500 on Mar. 7, 2019 (Year: 2009). [cited by applicant]
ATD financial services receives approval to expand market making operations; automated market maker now making markets in allNMS names. (Feb. 2, 2006). Business Wire Retrieved from https://dialog.proquest.com/profession… [cited by applicant]
Berg, Henry, Prediction Markets at Microsoft. Microsoft, Nov. 1, 2007. [cited by applicant]
CensusPoint.com Web Pages, Census Point, Inc., Jan. 11, 2007, Retrieved from Archive.org Nov. 23, 2015. [cited by applicant]
Consensus Point Market Profiled in Business 2.0. ConsensusPoint.com, Sep. 13, 2006. [cited by applicant]
Davidson, James Cameron, Forecasting Motion Picture Box-Office Returns and Analysis of the Hollywood Stock Exchange. Princeton University, Apr. 17, 2006. [cited by applicant]
Fuksa, M. (2002). Testing the predictability of stock returns (Order No. NQ79426). Available from ProQuest Dissertations and Theses Professional. (304788913). Retrieved from https://dialog.proquest.com/professional/ doc… [cited by applicant]
High frequency traders back market maker obligations. (2010). Wall Street Letter, , NA. Retrieved from https://dialog.proquest.com/professional/docview/1077196986?accountid= 131444 on Jun. 8, 2021 (Year: 2010). [cited by applicant]
Middlemiss, J. (2002). Users have favorites for direct-access technology (end users in action). Wall Street & Technology, 20(2),S16(3). Retrieved from http://dialog.proquest.com/professional/docview/678123181 ? accounti… [cited by applicant]
Othman, A., Sandholm, T., Pennock, D. M., & Reeves, D. M. (2010). A practical liquidity-sensitive automated market maker doi:http://dx.doi .org/10.1145/1807342.1807 402 on May 11, 2019 (Year: 2010). [cited by applicant]
Pennock, D. M., & Sarni, R. (2007). Computational aspects of prediction markets. Algorithmic game theory (pp. 651-676)Cambridge University Press. doi:http://dx.doi.org/10.1017/CB09780511800481.028 Retrieved from https:/… [cited by applicant]
Pennock, David M., et al., The Power of Play: Efficiency and Forecast Accuracy in Web Market Games. NEC Research Institute Technical Report, Feb. 17, 2001. [cited by applicant]
Schack, J. (2000). Showdown over market structure. Institutional Investor, 34(4), 63. Retrieved from https://dialog.proquest.com/professional/docview/671073149?accountid=142257 on May 11, 2019 (Year: 2000). [cited by applicant]
Stearns, F. R. (1004). Trading system and method having a configurable market depth tool with dynamic price axis Retrievedfrom http://dialog.proquest.com/professional/docview/743633641 ?accountid=142257 on Jul. 7, 2016. [cited by applicant]
Waller, M. L. (1988). The determinants of liquidity and the role of the market-maker in commodity futures markets (Order No. 8823276). Available from ProQuest Dissertations and Theses Professional. (303569217). Retrieve… [cited by applicant]