StockOdds was created in response to traders need for accurate data and actionable trade ideas, most people are probability blind, our goal is to educate in probability literacy. This Podcast interviews stock traders experience and what it took to get consistent success in trading the stock markets.
Cris Doloc, Ph.D.
Cris Doloc functions as a Director, Advisor to StockOdds, Inc. Cris Doloc is an accomplished Quantitative & Computational Scientist, team and platform builder, and currently teaches at the University of Chicago Financial Mathematics Department "Case Studies in Computing for Finance". Cris Doloc holds a Ph.D. in Computational Physics and has worked for more than two decades at the intersection of Quantitative and Computational Finance. He is an accomplished technology leader who designed and led the implementation of several firm-wide trading, valuation and risk systems. Cris’ expertise extends from enterprise software architecture, to High Performance Computing and Quantitative trading. He is very passionate about the opportunities that recent developments in Cognitive Computing and Computational Intelligence could bring to the field of Quantitative and Computational Finance. Cris Doloc has spent the last two decades in the field of Computational Finance working for several top-tier financial firms. As such Cris has been the Chief Technology Officer of Terra-Nova Financial, the Head of Valuation Infrastructure at Chicago Trading Company and the Founder & Principal of Quantras Research Ltd.
Cris Doloc is the Authour of "Applications of Computational Intelligence in Data-Driven Trading"
Available on Amazon https://www.amazon.ca/dp/B0813ZSNKK/ref=rdr_kindle_ext_tmb
Episode #3 of the StockOdds Podcast, has as our guest Steve Arlinsky a Proprietary Trader with Bright Trading, LLC. In this episode Steve talks about what interested him in a career in trading, his early years of trading professionally and more
Dennis Dick, CFA, is a proprietary trader, and market structure consultant with Bright Trading LLC. He has twenty years of proprietary trading experience specializing in pair trading, crutch trading, momentum, contrarian, technical, and algorithmic trading. His insights into equity market structure have been cited in a number of financial publications including the Wall Street Journal, Reuters, Dow Jones, and Forbes. Dennis is a regular contributor at CFA magazine, and a member of the Capital Markets Policy Council at the CFA Institute. He holds his Business Degree from the University of Windsor with a concentration in Finance and Economics.
Benzinga PreMarket Morning Show: https://premarket.benzinga.com/pre-market-show/
Bob Bright is the CEO of Bright Trading, LLC. Bob has a unique mathematical ability, He has always been able to quickly spot the “edge” in any type of game or business. His success began at an early age, playing poker in High School and the Army. He would make many times his monthly salary playing cards.
Bob spent several years as an executive for Johns-Manville Corporation. In 1974 he quit his job, packed up his wife and 3 young children, and moved to Las Vegas to become a Professional Blackjack Card Counter. In the next 3-4 years he earned significant amounts from the casinos (worldwide), which resulted in him being “barred” from many venues. He then joined the Pacific Stock Exchange (1978) and began trading computer modeled option strategies, many of which he designed himself from his blackjack math models. In the mid-1980’s he joined the Chicago Mercantile Exchange to trade the S&P Futures and the Chicago Board Options Exchange to trade OEX and listed Options. He learned first hand the art of Arbitrage and made Millions during the 1980’s.
Seeing that trading had gone “full circle” with more opportunities in equities trading than derivatives, he and long time friend and trader, Eddie Franco formed Bright Trading in 1992. Since then, Bright Trading has become one of the largest Professional Trading firms in the U.S. with several hundred traders in locations across the U.S. and Canada (and from remote and at-home trading stations).