Dave Bergstrom's guest appearances

Dave Bergstrom

Chat With Traders

52 Traders | Trading Interviews: Make Your Wallet Fat!

Better System Trader

Lykken on Lending

Ernie Chan

Nick Radge

Michael Melissinos

Kevin Davey

Kyle Schultz

Scott Welsh

Brett Steenbarger

Troy Bombardia

Ryan Moffett

Larry Tentarelli

Jerry Parker

Andrea Unger

Jack Schwager

John Ehlers

Hans Dederle

OwlTail

With the toolsets we have available to us today it’s really quite easy to create a trading strategy by just mining market data. As we've just heard in that opening bit of audio and also from previous podcast guests too, if you try enough combinations you can find something that appears to work purely by chance or by luck. The challenge however is trying to identify something that could be sustainable. Something that may persist long enough in the future for us to take advantage of, and hopefully make some money from. Our guest for this episode, Dave Bergstrom from BuildAlpha, has spent years researching, building, testing, and implementing market making and trading strategies for a high frequency trading firm, CTAs, money managers, individual clients, and even aspiring retail traders. In this episode Dave is going to share some of his insights into strategy development and validation, including:  How adjusting the ratio of in-sample/out-of-sample data can lead to creating different types of strategies Variance testing – what is it and how can it be used in the strategy creation process How E-ratios can be used to determine how an edge decays over time &amp; weed out potentially poor strategies with good backtest results Why volume and volatility are important factors to consider when building trading strategies Loads of other ideas to test and validate the robustness of trading strategies. 

With the toolsets we have available to us today it’s really quite easy to create a trading strategy by just mining market data. As we've just heard in that opening bit of audio and also from previous podcast guests too, if you try enough combinations you can find something that appears to work purely by chance or by luck. The challenge however is trying to identify something that could be sustainable. Something that may persist long enough in the future for us to take advantage of, and hopefully make some money from. Our guest for this episode, Dave Bergstrom from BuildAlpha, has spent years researching, building, testing, and implementing market making and trading strategies for a high frequency trading firm, CTAs, money managers, individual clients, and even aspiring retail traders. In this episode Dave is going to share some of his insights into strategy development and validation, including: <ul> <li>How adjusting the ratio of in-sample/out-of-sample data can lead to creating different types of strategies</li> <li>Variance testing – what is it and how can it be used in the strategy creation process</li> <li>How E-ratios can be used to determine how an edge decays over time &amp; weed out potentially poor strategies with good backtest results</li> <li>Why volume and volatility are important factors to consider when building trading strategies</li> <li>Loads of other ideas to test and validate the robustness of trading strategies.</li> </ul>

079: Strategy Validation with Dave Bergstrom

In the podcast Dave shares:  Why simple strategies are better than more complex ones What is the best way to validate your data Why he prefers timed exits How he diversifies his trades  Full interview &amp; show notes: https://52traders.com/dave-bergstrom/

In the podcast Dave shares: <ul> <li>Why simple strategies are better than more complex ones</li> <li>What is the best way to validate your data</li> <li>Why he prefers timed exits</li> <li>How he diversifies his trades</li> </ul> Full interview &amp; show notes: <a href="http://52traders.com/dave-bergstrom/" rel="nofollow" target="_blank">https://52traders.com/dave-bergstrom/</a>

60: Dave Bergstrom on Why Simple Quant Trading Strategies Often Perform Better

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

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 <a href="https://chatwithtraders.com/103" rel="nofollow" target="_blank">chatwithtraders.com/103</a>. Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices" rel="nofollow" target="_blank">megaphone.fm/adchoices</a>

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