Joe’s
Bio
Joe grew up in the
mountains of North Carolina and is a product of the North
Carolina university system. A sports addict as a youth Joes
played and excelled at Baseball, Football and Basketball and
has remained in competitive areas as an adult.
After being
introduced to the futures markets during a summer tour of
the Midwest in 1979 Joe began trading a simple “volatility
breakout” system in the Gold markets in the early 80’s. As
volatility declined with Gold prices Joe began to study
alternate methods of trading and analysis but primarily
focused on a hybrid version of Elliot Wave analysis know as
Merlin at the time.
Joe has been very
fortunate in that he entered the trading area during a
period when mentoring by older, more experienced traders was
common for those worthy. Joe proved worthy early on with a
natural aptitude for risk management and short-term market
direction and benefited from several years of direction from
some of the 80’s heavy hitters.
Gifted in math and
always an original thinker, Joe realized early in his
trading career that relying on indicators or oscillators in
the public domain was probably a bad idea so he began to
develop his own unique techniques in the early 80’s at the
encouragement of his mentors and has relied on nothing in
the public domain since, other than a moving
average.
Joe moved to the
Chicagoland area in 1985 and has resided there since. During
that period he has exhibited a wide variety of skills from
managing a high volume retail division, providing custom
execution services for both institutional and high volume
individuals, providing custom analytical solutions for
private clients and providing custom software and system
solutions in both TradeStation and Excel.
Joe is currently a
registered Commodity Trading Advisor – CTA – with the
National Futures Association and the sole owner of Capital
Research & Trading, LLC – “ CRT
”.
Capital Research
& Trading, LLC is a firm dedicated to the statistical
research of market price action using unconventional
proprietary algorithms to uncover recurring events that may
be exploited.
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