Chat With Traders is your key to the minds of trading's elite performers. Start listening to learn how a diverse mix of traders went from zero to hero, how they successfully trade markets today, and get their best tips 'n pointers for profitable performance, plus much more. Note: You are responsible for your own trading decisions—this is not financial advice.
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Date published
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120: Meb Faber – A Crash Course in Long-Term Investing—For Short-Term Traders
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2017-04-13
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119: Alex, @TAGRtrades – What This Day Trader Learned After Four Years of Abandoning a Secure Job
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2017-04-06
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118: Manoj Narang – Trading Technology, Alternative Data and Originality
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2017-03-30
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117: Larry Alintoff – Traders' Opportunity—When Things That "Should" Happen, Don't Happen
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2017-03-23
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116: Sean Hendelman – Taking Losses, Ultimately Winning, and Keeping Pace With Markets
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2017-03-16
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115: Adam Grimes – What Hand Traders Can Learn From System Traders, and Vice Versa
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2017-03-09
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114: Brannigan Barrett – The Process of Becoming a Bigger (and Better) Trader
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2017-03-02
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113: Benjamin Small – Normalizing Bitcoin, and Exploring the Cryptocurrency Ecosystem
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2017-02-23
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112: Jorge Soltero – Reminiscences of a Trader at Hull Trading Co.—and a Sell-Side Career
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2017-02-16
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111: David Bush – Strategy Objectives, Statistical Significance, and Market Behavior
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2017-02-09
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110: George, @RollyTrader – Learning to Trade, Momentum Setups, and Becoming a Venture Capitalist
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2017-02-02
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109: Edward Thorp – The Man Who Beat the Dealer, and Later, Beat the Market
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2017-01-26
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Q6: Delaney Mackenzie – Your Quantitative Trading Questions Answered
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2017-01-23
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108: John Netto – Being a Versatile and Adaptable Trader, While Testing Your Comfort Zone
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2017-01-19
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107: Anthony Saliba – A 40-Year Trading Career Fueled by Necessity—the Mother of Invention
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2017-01-12
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106: Turney Duff – A Wall Street Trader’s Tale of Spectacular Excess
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2017-01-05
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105: Brendan Poots – How a Former Punter Pioneered a Premier Sports Betting Hedge Fund
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2016-12-29
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104: Alex, @AT09_Trader – An Appetite For Risk, and Hitting Hard When Opportunity Arises
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2016-12-22
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Q5: Max Margenot – Good (and Not So Good) Uses of Machine Learning in Finance
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2016-12-20
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103: Dave Bergstrom – Escaping Randomness, and Turning to Data for an Edge
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2016-12-15
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