
Sign up to save your podcasts
Or


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.
Learn more about your ad choices. Visit megaphone.fm/adchoices
By Ian Cox and Tessa Dao4.8
19711,971 ratings
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.
Learn more about your ad choices. Visit megaphone.fm/adchoices

3,381 Listeners

3,057 Listeners

586 Listeners

2,190 Listeners

104 Listeners

945 Listeners

913 Listeners

358 Listeners

382 Listeners

359 Listeners

85 Listeners

421 Listeners

275 Listeners

217 Listeners

154 Listeners