Thomas Demark – Five Ways to Look at the Market Differently

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Thomas Demark – Five Ways to Look at the Market Differently

Thomas DeMark is the founder and CEO of DeMark Analytics, LLC, creator of the DeMark Indicators, and has been a special consultant to Steven A. Cohen of Point 72 Asset Management, formerly known as S.A.C. Capital Advisors,  for over 17 years. Mr. DeMark’s indicators are used in the market timing and technical analysis of financial markets. Some of his indicators include the following: Sequential®, Combo®, Setup®, Setup Trend (TDST)®, Countdown®, Range Expansion Index™, D-Wave®, TD Lines™, Differential™ and Camouflage®.DeMark’s recent stock market predictions include having forecast months in advance the October 4, 2011 US market bottom to within 1 point of the exact low and the precise Shanghai Composite market low on December 4, 2012, precise subsequent February 6, 2013 high, then June low  and September 2013 high to the exact day.

Mr. DeMark received his B.A. and MBA in Wisconsin and attended law school there as well from 1965 through 1972. From 1972 to 1978, Mr. DeMark was an officer of National Investment Services (NIS), a multibillion dollar pension fund manager. From 1979 to 1982, he was president of Financial Markets Consulting, a market-timing consulting subsidiary of NIS. In 1982, DeMark founded DeMark Investment Advisory, an advisor to many of the largest and most successful hedge funds, fund managers, mutual funds, and investment counseling firms. His clients included George Soros, Goldman Sachs, Union Carbide, IBM, Minnesota Mining, Steinhardt Partners, Atlantic Richfield, First Investors, Hoisington Investment, among many others. In 1988, DeMark became executive vice president of Tudor (Paul Tudor Jones), a multibillion dollar hedge fund. In 1990, DeMark established a partnership with Chicago Board of Trade Treasury Bond legend Charlie DiFrancesca (“Charlie D”). In 1990, DeMark and multibillion dollar fund manager Van Hoisington  formed Devan Futures. In 1994, DeMark served as special advisor to Leon Cooperman, a $5 billion hedge fund manager. At the same time, DeMark formed Market Studies, a provider of DeMark’s suite of market-timing software to data vendors, such as Bloomberg and CQG. Formerly, Mr. DeMark was Chairman of Logical Information Machines (LIM).

In 2008, Steven A. Cohen, founder of Stamford, Connecticut-based Point 72 Asset Management, which manages $15 billion, and John H. Burbank, founder of San Francisco-based Passport Capital LLC, which manages $4.1 billion, became partners in DeMark Analytics, LLC. The firm has its headquarters in Scottsdale, Arizona.

Mr. DeMark appears regularly on television, and at seminars[26] around the world. Both he and the DeMark Indicators have been the subject of numerous feature articles in many widely circulated financial publications.

On 14 April 2011, The Technical Analyst presented its 2011 Technical Analyst of the Year award to Mr. DeMark. The Awards Ceremony was held at the The Waldorf Hilton Hotel in London. Also, on 13 May 2011, the Market Technicians Association invited Mr. DeMark to be their keynote speaker for the 2011 Annual Symposium on Going Global: Risk & Reward In International Markets at the New York Stock Exchange.

Bloomberg Markets Magazine featured Mr. DeMark in its December, 2012 issue. The article discusses the indicators Mr. DeMark developed to predict financial market movement based upon mathematical relationships. Oswald Gruebel, former CEO of Credit Suisse Group AG and UBS AG, Steven A. Cohen, founder of Point 72 Asset Management, John Burbank, founder of Passport Capital LLC, and Peter Borish, former director of research at Paul Tudor Jones’s Tudor Investment Corporation, were quoted among other users of the DeMark Indicators.

The Market Technicians Association invited Mr. DeMark on 5 April 2013 to be their keynote speaker for the 2013 Annual Symposium at the Sentry Centers in New York City. This was the second MTA Annual Symposium Mr. DeMark was honored for his market timing acumen and innovative mathematical models for decoding esoteric rhythm in data sets.

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