

235: How traders can compete in the markets and find profitable edges - Jason Strimpel
May 9, 2024
Jason Strimpel, founder of PyQuantNews, shares valuable insights on how traders can find profitable edges in the fast-paced markets. Topics include the dangers of brute-force data mining, identifying market inefficiencies, and the impact of behavioral patterns on trading strategies.
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Jason's Trading Journey
- Jason Strimpel started trading and programming at 18, inspired by seeing the success symbolized by a Cadillac.
- His journey included hedge funds, quantitative risk, crypto investing, and building analytics teams in global markets.
Algorithmic Trading vs Luck
- Discretionary trading often confuses luck with skill, with most beginners having no real edge.
- Algorithmic trading leverages data and models to statistically distinguish skill from luck and capture true market inefficiencies.
Evolution To Systematic Trading
- Successful traders evolve from discretionary to systematic by automating their trades and seeking market patterns beyond price charts.
- Using more data and sophisticated tools like statistics and machine learning is key to identifying robust, repeatable trading edges.