WOODINVILLE, WA, June 28, 2022 /24-7PressRelease/ — Marquis Who’s Who, the world’s premier publisher of biographical profiles, is proud to honor Jeff Glickman with his induction into Who’s Who in the World. Having previously been inducted into Who’s Who in America, Jeff Glickman celebrates many years’ experiences in his professional network, and has been noted for achievements, leadership qualities, and the credentials and successes he has accrued in his field.
J4 Capital LLC is a registered investment adviser whose founder created the only known artificial superintelligence. The firm’s supercomputer is designed to predict market behavior for liquid exchange-traded securities. To demystify this space, we have highlighted the frequently asked questions (FAQs) below.
How does Artificial Superintelligence (ASI) differ from Artificial Intelligence (AI)? As AI is changing the world, Artificial Superintelligence is the next generation of AI, providing predictive technology, resolving outsized problems. Most importantly, the Superintelligence has the ability to self-code. J4 Capital’s supercomputer is designed to program itself, dynamically developing its own theorems, surpassing human capability and capacity. J4 Capital’s CEO Jeff Glickman, a technology trailblazer, holds foundational patents from the 1990s for what ultimately became modern machine learning. In 2005, he created the only known artificial superintelligence (ASI). In 2019, J4 Capital deployed its Artificial Superintelligence to intraday trading on the U.S. equity markets. J4 Capital’s proprietary trading technology continuously adapts to changing market conditions, trading highly liquid public securities intraday. Unlike most investment firms, J4 Capital has developed a private cloud technology infrastructure which is highly secure and scalable.
How is J4 Capital’s trading strategy unique? J4 Capital has constructed an artificial superintelligence (self-programming prediction technology) based on the EFFICIENT market hypothesis. Unlike the search for inefficient asset pricing (leading to crowded trades and low accuracy) which is applied by many large investment firms managing liquid securities portfolios, J4 Capital is trading the efficient market, utilizing its dynamic self-programming process. In addition, unlike a black box employed by many well-known investment firms that use AI, J4 Capital’s technology is a white box. The supercomputer’s process is fully traceable.
Where else can Artificial Superintelligence (ASI) be applied? Artificial Superintelligence has broad applications in the investment and financial services sector. In addition, over the next several years, ASI capabilities will be applied to many sectors such as government and military applications, manufacturing and supply chain logistics, healthcare and pharmaceutical, legal analysis, marketing, media and transportation.
Corporate Vision, February 2021 article: “J4 Capital is a registered investment advisor powered by Artificial Superintelligence (ASI), the first of its kind created by J4 Founder and CTO, Jeff Glickman. Using its unique supercomputer, J4 is able to predict market behaviors for liquid exchange-traded securities based on efficient market hypotheses. We take a closer look at this team of trailblazers in technology and find out how they are taking AI to
the next level in order to optimize the investments of its clients.” Read more, p. 12
Institutional Investor article by Angelo Calvello,
“There’s no denying that 2020 was an exceptionally trying year. Few know this as well as active managers, who continued to struggle to provide the promised returns — perhaps none more than celebrated quantitative investment managers . . . as William Cohan writes in Fast Company, “An exceptional trader would be thrilled with a 51 percent success rate — similar to the house edge at a Las Vegas blackjack table.” . . . “Financial markets are not stationary. They change all the time, driven by political, social, economic, or natural events.” Denialists claim that, unlike MRIs and board games, markets are simply too complex and random — and this complexity and randomness overwhelm the ability of DL and DRL to consistently find actionable insights in the data.
Jeff Glickman, co-founder of AI-based investment manager J4 Capital, makes this argument in Cohan’s Fast Company article:
Artificial Superintelligence demystified, white box vs. black box trading strategies and more, watch and listen here – https://bit.ly/30axTE6 (under 5 minutes)
Bill invites “rocket scientist” Jeff Glickman to the studio for this latest episode of “Squashing the Market.” Bill and Jeff explore one of the most complex and intriguing topics in finance and technology today: the development of Artificial Intelligence (AI) and its use in the investment world. Jeff is uniquely positioned to explain this topic. Listen to the February 18. 2020 podcast ‘Squashing the Market with Bill Ullman’ here.
This website utilizes cookies and similar technologies for functionality and other purposes including personalization of content. Your use of this website constitutes your acceptance of cookies.
This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are as essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.