Most trading strategies have an optimal type of market condition where they work at their absolute best, so having an understanding of market conditions and being able to detect and adapt to them can really have a huge impact on trading performance.

But how can we measure market regimes properly?

What techniques can we use to find that delicate balance between stability and reactivity so that it improves performance rather than reduces it?

Our guest for this episode, Alan Clement, has completed considerable research into market regimes and is going to share his knowledge with us today!

Alan is a Certified Financial Technician, full time independent trader, quantitative trading systems designer and private investment consultant.

In our chat today, you will learn:

• Market regimes – what they are and how they can impact the performance of your trading strategies
• The different types of Market Regimes and key aspects to consider when defining them
• Indicators, market breadth and intermarket measures – which ones are the best for detecting market regimes?

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.

The performance profile of Mean Reversion is extremely desirable to a lot of traders.

Mean reversion trading strategies can produce high win rates and a smooth equity curve, however there are risks, which can result in giving back a large portion of profits, or of your trading account, some times in a very short period of time.

So what can you do to build mean reversion strategies that produce consistent profits while managing risk effectively?

Todays guest, PJ Sutherland, is here to share the knowledge he has gained from years of research and trading mean reversion strategies, and as you’re going to hear, he has some really interesting insights to share with us.

PJ has extensive experience in the development and deployment of quantified trading systems and has been active in the market for the past decade.

He is the founder and director of Alpha Investment Advisors, providing research to hedge funds and prop trading firms, and the founder of the website Quantlab for private traders.

In our chat today, you will learn:

• The key drivers of short-term returns in mean reversion trading
• The impact of market environments on mean reversion strategies and how to detect and adjust strategies to varying market conditions
• Should you 'Catch a falling knife' or wait for confirmation? How to determine which entry technique is best for you
• Building a portfolio of strategies using parameter ranges across the mean reversion curve
• Simple but powerful techniques to managing risk in mean reversion strategies

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.