

103: Dave Bergstrom – Escaping Randomness, and Turning to Data for an Edge
Dec 15, 2016
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 22 23 24 25 26 27 28
Introduction
00:00 • 3min
How I Got Started Trading
02:51 • 2min
How I Got Started Trading Stocks
05:06 • 2min
How to Escape Randomness
06:52 • 2min
How I Moved to Florida to Pursue a Quantitative Approach to Trading
08:32 • 2min
How to Look at Data
10:41 • 2min
The Evolution of Technical Analysis
12:11 • 2min
Technical Analysis: The Future of Trading
14:12 • 2min
How I Learned How to Program
15:45 • 2min
How to Learn to Program
17:25 • 2min
How to Learn How to Program
19:07 • 2min
Why I Learned Multiple Languages
21:03 • 2min
How to Be a Data Minor
23:24 • 2min
How to Find Edges in Data
25:33 • 2min
How to Find Edges in Trading
27:17 • 3min
How to Prevent Curve Fitting in Data Mining
29:53 • 2min
How to Split Up Your in and Out of Sample Data
31:38 • 2min
How to Use Technical Indicators and Parameters to Optimize Your Strategies
33:23 • 2min
The Power of Monte Carlo Simulation
35:26 • 3min
The Importance of Variance Testing in Trading
38:53 • 2min
The Three Laws of Trading
41:02 • 2min
The Law of Large Numbers
43:32 • 2min
How to Increase the Number of Trades Your Strategy Produces
45:50 • 2min
How to Create a Strategy That Works on One Market
47:45 • 2min
The Negative Aspects of High Frequency Trading
50:15 • 2min
The Future of High Frequency Trading
51:55 • 2min
How Minaj Narang Can Help You Find the Best Strategies for Your Business
53:52 • 3min
Chat With Traders - A New Podcast With Real Market Insight
56:42 • 2min