046 - Tom Starke - Institutional Quant Trading Fundamentals

About this episode

Dr. Tom Starke discusses the differences between institutional and retail trading, emphasizing a scientific approach to strategy development.

Detailed write up on how institutions trade differently: https://www.algoadvantage.io/podcast/046-tom-starke/Part 2: coming soon!Dr Tom Starke trades significant institutional capital as a quant trader for a private fund. In Part 1, we cover the common pitfalls of 'retail' or newer traders. Tom makes the case that institutions 'think differently', applying an extra dimension to their thinking, as compared to retail traders. A significant result of this is the critical role a systematic R&D process plays in strategy development. The development pipeline is a 'research first', 'hypothesis testing' laboratory, designed to invalidate bad ideas quickly, and push viable ideas through a strict robustness testing framework to ensure out-of-sample results. Applying a scientific approach (which is just good data science), means letting the data speak, rather than squeezing it for the answers we want! The result is a process designed to minimize overfitting and produce the highest risk-adjusted returns for the pre-defined objectives. Courses, Community & More: https://algoadvantage.ioContents:0:00 Introduction to Systematic Trading and Research6:47 Tom Stark’s Journey: From Physics…

People in this episode

Guest: Dr Tom Starke

Topics covered

• quant trading
• institutional trading
• systematic R&D
• risk management
• trader mindset

Keywords

• quantitative trading
• institutional capital
• data science
• hypothesis testing
• risk-adjusted returns

Mentioned in this episode

Organizations: Algorithmic Advantage, private fund

Places: retail, institutional

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