Kris Longmore's guest appearances

Kris Longmore

Better System Trader

Dave Bergstrom

Jack Schwager

Gary Antonacci

Adam Butler

Andreas Clenow

Jerry Parker

Larry Connors

Bert Mouler

Stuart McPhee

Ryan Moffett

Linda Raschke

Aaron Brown

Adam Grimes

Brian Miller

George Costanza

OwlTail

Kris Longmore from RobotWealth joins us to discuss 4 key areas part-time traders need to take seriously to be successful, including:  Why it’s important to understanding market participants and why they're trading, 3 common things traders do that almost guarantee they will blow up, Setting realistic expectations for retail traders, The "edge pyramid" and where retail traders should target, The “backtest cycle of doom”, why backtesting is not research, and a better approach to finding a trading edge, plus Risk premia harvesting, turn of the month edges, universe selection, VIX trading edges, FX seasonality, portfolio Zen, risk allocation, crypto trading, machine learning and much more! 

Kris Longmore from RobotWealth joins us to discuss 4 key areas part-time traders need to take seriously to be successful, including: <ul> <li>Why it’s important to understanding market participants and why they're trading,</li> <li>3 common things traders do that almost guarantee they will blow up,</li> <li>Setting realistic expectations for retail traders,</li> <li>The "edge pyramid" and where retail traders should target,</li> <li>The “backtest cycle of doom”, why backtesting is not research, and a better approach to finding a trading edge, plus</li> <li>Risk premia harvesting, turn of the month edges, universe selection, VIX trading edges, FX seasonality, portfolio Zen, risk allocation, crypto trading, machine learning and much more!</li> </ul>

201: “Getting serious about part-time trading” – Kris Longmore

Machine learning has seen a huge amount of growth over recent years with the increase in available data and processing power. It's an incredibly powerful toolset for uncovering patterns and relationships in data, however, these tools can be challenging to learn, apply correctly and are also open to abuse. Our guest for the episode, Kris Longmore from Robot Wealth, specializes in Machine Learning, Algorithmic Trading and Artificial Intelligence. He is the co-founder and Head of Quantitative Research at Quantify Partners and also provides consulting and educational services through his website Robot Wealth. In this episode Kris is going to share with us some of his insights into Machine Learning and strategy validation, including:  How Machine Learning can be used to analyse huge amounts of data, uncover patterns and relationships, and define a trading edge, How Machine Learning tools can be abused and the common mistakes that traders make with Machine Learning, Strategy validation techniques that best suit market data and 1 popular technique that shouldn't be used, How to approach the vast libraries of algorithms available today, Why delaying the trading process can lead to opportunity cost and how to know when a model is ready for trading, Plus much more. 

Machine learning has seen a huge amount of growth over recent years with the increase in available data and processing power. It's an incredibly powerful toolset for uncovering patterns and relationships in data, however, these tools can be challenging to learn, apply correctly and are also open to abuse. Our guest for the episode, Kris Longmore from Robot Wealth, specializes in Machine Learning, Algorithmic Trading and Artificial Intelligence. He is the co-founder and Head of Quantitative Research at Quantify Partners and also provides consulting and educational services through his website Robot Wealth. In this episode Kris is going to share with us some of his insights into Machine Learning and strategy validation, including: <ul> <li>How Machine Learning can be used to analyse huge amounts of data, uncover patterns and relationships, and define a trading edge,</li> <li>How Machine Learning tools can be abused and the common mistakes that traders make with Machine Learning,</li> <li>Strategy validation techniques that best suit market data and 1 popular technique that shouldn't be used,</li> <li>How to approach the vast libraries of algorithms available today,</li> <li>Why delaying the trading process can lead to opportunity cost and how to know when a model is ready for trading,</li> <li>Plus much more.</li> </ul>

082: Machine Learning with Kris Longmore