Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
Introduction
00:00 • 3min
Compounding Growth Rate
02:57 • 3min
X-Pace Strategy - The Tail-Header Strategy
06:14 • 3min
CTA Trend-Focusing Strategy
09:23 • 3min
Lever ETF - Portfolio Insurance
12:49 • 3min
Machine Learning and the Tail Reaper Strategy
15:43 • 3min
Machine Learning and Overfitting
18:54 • 3min
How to Overcome Overfitting in Machine Learning
22:14 • 2min
Application of Machine Learning to Finance
23:54 • 4min
Using Randomness in Machine Learning to Reduce Overfitting
27:31 • 3min
Metal Labeling Is a Good Example of Machine Learning
30:46 • 2min
Machine Learning on a Human Constructed Strategy
32:40 • 5min
The Tail-Ripper Strategy
37:46 • 2min
Trading Intraday Put Options - Is There a Stop Loss?
39:28 • 4min
Is Your CTA a Robust Model for Multiple Markets?
43:08 • 3min
Gamma Dealer Hedging and the ETF Structures at the End of the Day
45:44 • 2min
The Best Time of the Day to Enter
47:40 • 3min
How to Use the Kelly Formula in a Continuous Market Like Finance
50:44 • 4min
Is Kelly Leverage a Good Criterion for ETFs?
55:04 • 2min
Combining Divergent and Convex Strategies in a Commodity Pool
57:24 • 3min
QTS CM - What's the Best Place to Find Out More?
01:00:06 • 3min