Episode 002: Logan Kane - Becoming a Quant, Econometrics, and Inversing Retail Investors
October 31, 2019
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
