FXTM Invest – Webinar January 31

This webinar is your chance to discover the unique benefits of FXTM’s copy trading programme, FXTM Invest. With FXTM’s Head of Education, Andreas Thalassinos, you will learn how copying the trades of a Strategy Manager could potentially help you to improve your trading

Open your FXTM account today

This webinar is your chance to discover the unique benefits of FXTM’s copy trading programme, FXTM Invest. With FXTM’s Head of Education, Andreas Thalassinos, you will learn how copying the trades of a Strategy Manager could potentially help you to improve your trading.

By the end of the session, participants will understand what makes FXTM Invest unique, how to choose a suitable Strategy Manager using detailed statistics, set an appropriate Protection Level, use Safety Mode to limit risk and much more. Register today to learn from the comfort of your own home!

FXTM’s Head of Education is a highly-respected FX educator and Certified Technical Analyst. An authority in algorithmic trading, Andreas Thalassinos is also known for developing hundreds of automated systems, indicators and trading tools used today.

His passion for educating traders and forex industry professionals has made him an industry Guru, with tutorials and webinars consistently viewed by thousands of traders around the world. Thalassinos’ seminars are renowned for their lively atmosphere and exceptionally informative content and enjoy outstanding attendance every time.

These seminars and workshops are tailored to all experience levels and trading styles. They focus on the importance of trend and risk management to maximise earning potential.

In recognition of his unparalleled knowledge, Andreas Thalassinos holds an MSTA certificate from the Society of Technical Analysts (UK) and both CFTe and MFTA from the International Federation of Technical Analysts (USA). His latest thesis is Anatomy of a Living Trend: Swing Charts, High Points and Low Points, Peaks and Troughs and how their underlying structure may define their forecasting strength.

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