LHGS Fund Information Request

Projected Multiples for Gains of LHGS Cos. 

Valuations vs LHGS’ cost bases @ 06/01/25

Company Multiple Link to videos & reports
RYPPLZZ 33,000X https://savechangeworld.com/project/rypplzz/
Realty Brix 27,700X https://savechangeworld.com/project/brix-realty/
Emotion Trac 11,500X https://savechangeworld.com/project/emotiontrac/
GotChosen 7,252X https://savechangeworld.com/project/gotchosen/

 

Key articles pertaining to Liquid Hyper Growth Strategy (LHGS)

 

Digital Fund, 2nd chance for $500K to Billions, June 16, 2025 

Rationale for Half MILLION to BILLION by 2032, June 12, 2025 

“Liquid Hyper Growth Strategy” Drives $25K to $293M, June 6, 2025

 

LHGS’ Digital Company Stakes

Digital company

Applications

Addressable market

Achievable Valuation 2033-40

Realty Brix

Fractional Real Estate Exchange

$75T

$500B

GotChosen

Social Med Ad Rev authentication

$406B

$250B

RYPPLZZ

Spatial Intelligence (SI) & Augmented Reality (AR) infra provider

$10T+

$1.0T+

EmotionTrac

Emotion Reading for legal, product dev. & entertainment, etc.  

$1.0T

$500B

 

Michael Markowski, Director of Research for DynastyWealth.com and SaveChangeWorld.com. Developer of Defensive Growth Strategy. Entered markets with Merrill Lynch in 1977. Named “Top 50 Investor” by Fortune Magazine. Formerly, underwriter of venture stage IPOs, including one acquired by United Health Care for 1700% gain. Since 2002 has conducted empirical research to develop algorithms which predict the negative and positive extremes for the market and stocks. Has verifiable track records for predicting (1) bankruptcies of blue chips, (2) market crashes and (3) stocks multiplying by 10X. In a 2007 Equities Magazine article predicted the epic collapses for Lehman, Bear Stearns and Merrill Lynch. Most recent algorithm developed from research of UBER and AirBnB has enabled identification of startups having 100X upside potential within 7 to 10 years. Video (3 minutes, 53 seconds) covers Mr. Markowski's research to develop predictive algorithm methodology.