On this episode, I’m joined by a quant trader who works at a high frequency trading firm—though you might be surprised to hear, he started out on the same path that many retail traders do—his name is; Dave Bergstrom.

The thing that makes Dave unique from most traders who’ve been on this podcast previously, is how he uses data-mining techniques to develop trading strategies. Though data-mining, in trading, often has a negative connotation attached to it, Dave believes this stems from bad practices and poor evaluation of methods.

In addition to the above and ways to reduce curve-fitting, we talk about escaping randomness, learning to write code, Dave’s three laws for strategy development, setting expectations and plenty more.

Q+A: Got a question for Dave? Write in the comments area at chatwithtraders.com/103.

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103: Dave Bergstrom – Escaping Randomness, and Turning to Data for an Edge 59:01 Share

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103: Dave Bergstrom – Escaping Randomness, and Turning to Data for an Edge