Episode 002: Logan Kane - Becoming a Quant, Econometrics, and Inversing Retail Investors

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My second guest is Logan Kane, author of High Finance: The Secrets Wall Street Doesn't Want You To Know and frequent SeekingAlpha contributor. Logan is a quant, applying econometric models to financial markets. I originally came across Logan when he broke a story on Robinhood's payment for order flow practices, which was picked up by Bloomberg and CNBC. In this episode, we talk about: Starting as a bottom up value investor and becoming a quantitative investor How to start modelling market behavior Practical things retail traders and investors should know about market microstructure Logan's Robinhood story Thinking about time frames in trading How his strategy is based on inversing retail investor behavior Links mentioned: High Finance: The Secrets Wall Street Doesn't Want You to Know Logan's SeekingAlpha page Robinhood Is Making Millions Selling Out Their Millennial Customers To High-Frequency Traders The Robinhood High-Frequency Trading Scandal: The Plot Thickens What Time Frame Should You Use When Trading Card Counting Meets The Stock Market: A Statistical Model For Predicting 1-3 Month Returns How Hidden ETF Transaction Costs Make Billions For Market Makers How Option Pricing Theory Can Make You Extra Money In Cannabis Stocks And IPOs Read This If You're Thinking Of Buying Put Options On Tilray An Overlooked Key To Investing Success: Market Microstructure