The discovery of DNA as well as the understanding of its function and structure may be one of the most important discoveries of the last century.
As researchers continue to unlock its secrets, the applications to the scientific, medical, agricultural and forensics fields has been enormous.
From enabling the breeding of animals and crops that are better resistant to disease, to being able to accurately identify criminals and victims, and even to detect diseases early on and create breakthrough treatments for diseases that were previously considered lethal, DNA research is having a huge effect on mankind.
But just as scientists are getting a better understanding of DNA and it’s potential applications, can traders apply the same to the markets?
One of the topics we discuss in this podcast episode is the 'DNA approach’ to trading. What is it, how can we understand it and what are the benefits?
To discuss this topic plus a number of others, we're joined by Bruce Vanstone from Vanstone Trading.
Bruce is a trader, consultant and university lecturer in Computational Finance and Big Data. He’s published a number of research papers and trading systems, and presented material at a number of non-academic conferences. He also consults to a boutique funds management business, trading personally and at a larger fund management level.
In our chat with Bruce you’ll discover:
The 'DNA approach' to trading and why you need to understand it, How to add another layer of logic over a strategy to identify the best trading conditions, Why it’s important to have trading strategies with academic credibility, How a simple change in timeframe can increase returns and reduce drawdowns, The common ‘trap’ strategy creators fall into when adjusting strategies without even realising it, Plus much more.Let’s head on over to my chat with Bruce.
Disclaimer:
Trading in the financial markets involves a substantial risk of loss and is not suitable for everyone. All content produced by Better System Trader is for informational or educational purposes only and does not constitute trading or investment advice. Past performance is not necessarily indicative of future results.
