About us
ZZAlpha serves knowledgeable investors
ZZAlpha LTD. serves
professional and institutional investors. We provide
portfolios of recommendations exhibiting consistent, high
returns with well behaved risk, liquidity and transparency.
All recommendations come from the objective and thoroughly
tested ZZAlpha® proprietary machine learning
techniques. We supply daily equity long
recommendations by subscription for products spanning
various liquidity, capitalization, sector and industry
segments groups.
Ten years of scientific research
ZZAlpha LTD. was formed in
July 2010, after 10 years of scientific research on how
equities might be successfully selected by an appropriate
machine learning technique. There are many ways to
poorly apply machine learning, parameters, algorithms, and
models that produce inconsistent and brittle results.
We investigated (and discarded) many over the years.
Machine learning successfully responds to the unexpected
Machine learning techniques
have the ability to learn in dynamic environments and
quickly fashion an appropriate response, much as “black-box”
auto-pilots on defense and commercial aircraft do when
unexpected weather threatens safe landing or critical
maneuvers. Unlike traditional static models, machine
learning techniques can respond to unforeseen events.
The ZZAlpha® machine learning techniques learn every night
from the market's recent dynamics.
Our machine learning technique evaluates the interconnections, patterns, and changes in the market on a daily basis and places those in the context of historic market behavior, using over half a billion pieces of data and 1.8 trillion calculations every night.
Our machine learning technique evaluates the interconnections, patterns, and changes in the market on a daily basis and places those in the context of historic market behavior, using over half a billion pieces of data and 1.8 trillion calculations every night.
Dominance from scientific methodology
ZZAlpha expects to dominate
the field of stock recommendations and stock analysis from
machine learning techniques, supplementing and occasionally
displacing conventional equity analysis methods for large
investment enterprises because of its robust scientific
foundation, its breadth across market segments, its
consistent, high returns, and its well-behaved risk
profiles.
ZZAlpha anticipates extending its effective learning techniques to other major international markets.
Founder
The founder, CEO and
Chief Scientist, Kevin B. Pratt, 71, is a computer
scientist who developed advanced analytics, machine
learning, and high-performance computing methods for
critical activities of the US Intelligence Community for
ten years before founding ZZAlpha. He was trusted at the
highest security levels. For five years afterwards he
consulted with financial, telecommunications, consumer and
pharmaceutical companies worldwide on machine learning and
advanced analytics.
At age 52, he earned
a Masters in computer science, artificial intelligence and
pattern recognition with a 4.0 gpa. He has over 100
publications.
Prior to 1998 he was
a commercial trial and appellate lawyer in his own firm.
Before that he was a partner at Fairfield and Woods, PC in
Denver, Colorado, and earlier was a trial attorney at the
US Justice Dept. Antitrust Division. Along his 22 year
legal career, he handled securities cases for brokers,
financial advisors and professional investors. He is a
member of the Bar of the United States Supreme Court.
He was an Eagle Scout, and
worked his way through college and law school at the
University of Texas at Austin. He is a Rotary International
Paul Harris Fellow.
He has been an active
investor for 30 years. He is past president of the American
Association of Individual Investors’ Tampa-St. Petersburg
Chapter. He invests all his own funds using ZZAlpha®
recommendations and has hands-on experience in market
dynamics.
Until June 2016, he was
also Senior Analytics Scientist at Teradata
Corp. There is NO
affiliation whatsoever between ZZAlpha and Teradata or
Teradata's Aster Big Data Group.
More details of his background can be found at:
LinkedIn https://www.linkedin.com/in/kevin-pratt-709b033a
Reminder
PAST PERFORMANCE does NOT indicate the probability of similar performance in future market conditions.Investment in equities involves SUBSTANTIAL RISK and has the potential for partial or complete LOSS of funds invested.