Inspired by the impact of predictive analytics on sales at Sam Miesse’s tech company, he became interested in applying quantitative analysis to the small cap market. Spending nearly 2 years collecting data and observing how money moved into and out of many small cap stocks convinced him that there were repeating patterns which could be statistically exploited. After many back tests Sam finally had a system which processed over 10,000 small caps and produced 20-40 actionable daily opportunities. Starting with an experimental $10,000, his rigorously back-tested system gave him the confidence to stick with the signals, despite suffering a $500,000 daily drawdown along the way to growing his account to $3.8 million in less than 3 years.
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Topics & Timestamps:
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- 00:00 Introduction and background
- 02:55 Tech and Entrepreneurship
- 04:49 Early Trading Experiences and Lessons
- 06:46 Initial Trading Strategies and Market Insights
- 08:19 Discretionary Trading and Learning the Markets
- 09:29 Recognizing Patterns in Trading
- 11:32 Quantitative Trading Principles
- 15:41 Quantitative vs. Qualitative Trading
- 17:14 Building a Quantitative Trading Model
- 19:53 Data Collection and Model Development
- 21:26 Challenges in Quantitative Trading
- 29:24 Market Behavior and Trading Strategies
- 37:50 Market Changes and Model Adjustments
- 45:51 Finding Statistical Edges in Trading
- 1:04:23 How to Reach Sam
Sam Miesse
Links & Resources
- Follow Sam Miesse on X (formerly Twitter): https://x.com/ApatheticTrader