122: Competing with Machine Learning and PHDs
With the explosion of computing power, more and more resources are being deployed to analyse the markets.
Edges that used to work are being eroded away or destroyed as traders from all around the world get to work analysing the same sets of price data.
Add to that mix the sophisticated machine learning algorithms and the rooms full of PhDs, how do we even compete with that?
If everyone is looking at the same price data, is trading based on price alone enough, and if not, then what is the solution?
In this weeks Thursday trading thought Gary Hart from trendfinder trading systems is going to share his approach to this problem.
We pickup the conversation discussing changes in the markets over time.