Back to top

SAMT Blog

Swiss Trading Day 2020

09. September 2020, by Patrick Pfister
SAMT News,  Events

IG Bank

Swiss Trading Day 2020
Live-Webinar-Event | 15.–17. Sept. 2020 ab 17:00 Uhr

 
Sehr geehrter Trader
 
Die SAMT freut sich, in Zusammenarbeit mit der IG Bank, Sie zu der Online-Auflage des Swiss Trading Days – eines einzigartigen Events in der Schweiz für Privatkunden und Anleger – einladen zu dürfen. Melden Sie sich jetzt an und treffen Sie die Referenten des diesjährigen Events – Dirk Müller, Orkan Kuyas und Dr. Gregor Bauer.

Das Event findet vom 15. bis 17. September 2020 statt. Die Teilnahme an der Veranstaltung ist kostenfrei, eine vorherige Anmeldung ist jedoch erforderlich. Die Präsentationen werden nur in deutscher Sprache gehalten.

anmelden

Warum sollten Sie an unserem Event teilnehmen?

Melden Sie sich für den Online-Swiss Trading Day 2020 an und:

  • Erfahren Sie von Dirk Müller – Finanzexperte, Politikberater und Bestsellerautor, wie sich die Corona-Krise auf die Finanzmärkte auswirkt
  • Identifizieren Sie mit Profi-Trader Orkan Kuyas seasonale Trading-Muster
  • Entwickeln Sie erfolgreiche Trading-Strategien mit Dr. Gregor Bauer, selbstständiger Portfolio-Manager und renommierter Chartexperte
  • Eröffnen Sie ein kostenfreies Demokonto und profitieren Sie von weiteren Trading-Einblicken in unseren exklusiven Folgeveranstaltungen für IG Bank-Kunden

speakers

Das Event Programm

offene Veranstaltungen

exklusive Veranstaltungen

About the author

Patrick Pfister

Patrick Pfister is a board member and current President of the Swiss Association of Market Technicians (SAMT). He is an independent technical analyst based in Zurich, Switzerland with expert skills at unleashing the power of technical analysis and thus creating strong over-performance. His unique investment approach is predicated on multiple-timeframe turnaround patterns.

He is an internationally recognized personal investment and wealth management expert who is highly sought-after as a professional speaker and executive coach who delivers inspirational workshops and seminars to corporations, universities and individual groups. He has vast experience in teaching the strategies of technical analysis based on his own educational method aimed at development of individual views of every trader.

With more than 20 years experience in technical analysis and programming in C++, he is combining the power of technical analysis with parallel computing. Having published his research through a Wallstreet research company, you will find his posts now regularly on LinkedIn as well as on the BLOG of SAMT-org.ch.

Disclaimer: All methods, techniques, charts, analysis or results presented in this SAMT Blog are for educational purposes only. The information provided should not be construed in any way as a recommendation to buy or sell any financial instrument. You should always consult with your licensed financial advisor and tax advisor to determine the suitability of any investment to your particular financial situation. The author does not have a position in mentioned securities at the time of publication. Any opinions expressed herein are solely those of the author, and do not in any way represent the views or opinions of any other person or entity. SAMT and its affiliates, directors or agents will not be held liable or responsible for your investment decisions.

SAMT nor any of its affiliates, directors or agents are a financial advisory service, nor a licensed financial advisor and do not provide financial advice whatsoever in any financial product.

Further it should not be assumed that any methods, techniques or indicators presented will be profitable or that they will not result in losses. Past results of any individual trader or trading system presented are not indicative of future returns by that trader or system, and are not indicative of future returns which may or may not be realized by you.

Pictures uploaded and used in this article may be subject to copyright. The author itself is solely responsible for adhering to any applicable copyright laws.

By viewing the material on this page, you fully agree that you understand and consent to the above disclaimer.