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Better System Trader

If you’re looking for inspiration, motivation and practical advice on improving your trading results, Better System Trader delivers every week. Each episode brings you an expert trader who shares their own story, along with the steps, both good and bad, that they’ve taken on their path to success. With a focus on actionable insights, the tips and tricks used by the experts contain loads of value, providing you with insanely practical tips and tools you can start using TODAY. Improve your trading with Better System Trader.
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Sep 17, 2018

A common dream sold to traders, especially when they’re starting out,  is the dream of sitting back on the beach sipping cocktails while our trading systems go to work and make us money.

While certain aspects of that dream are possible, for example automated trading, traders still need to do a lot of work to get to that point.

We’ve got to research the markets, find trading edges, do testing and robustness checks, monitor strategies and systems, tweak and adjust where required...

It’s really not as simple as the dream sounds.

But with recent advances in technology, including AI, machine learning and quantum computing, are we close to having fully autonomous trading systems?

That is, can systems really learn trading rules themselves, find profitable edges and trade them, while we do sit back on the beach, boat or couch sipping cocktails and counting our money?

In this podcast episode we're going to explore how recent advances in technology are impacting the trading space now and where it could be taking us in the future.

And to do that we have special guest Dr Tom Starke from AAAQuants.

Tom specialises in AI and machine learning solutions and he has some interesting insights to share with us, so let’s get started now and jump over now to my chat with Dr Tom Starke.

 

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.

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