Volatility (SC) – Dan Sheridan

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Salepage link: At HERE. Archive: https://archive.is/wip/nBtY9

Buy now $74 $247, Volatility (SC) – Dan Sheridan Course.

What you can expect to learn from our new short course: Volatility Levels.

Class Description: We are excited to continue in our new On Demand Video Series, which will take a “Deep Dive” into many of our most Popular and Successful Option Strategies! Our next release is on Volatility. This course is a “Deep Dive” into the Trading Volatility. How we trade it, Risk management, Adjustments, and Practical Examples. 

Our Goal for you is to become a Craftsman of the “Volatility”. As with all our courses, you will have a dedicated Class Page with the Videos and Power Point Slides which you will have access to. The most important thing on the student Class Page in my opinion, is the Q and A Button you can click on to Ask questions about the Class Material. This way, you get the teaching, and also the ability to ask Jay questions if you don’t understand something!

In this course you will learn:

– What does VIX Measure

– VIX History

– Setting VIX Levels
– What Determines a breakout?

– Breakout Examples from the past

– What to do when a breakout occurs

– How to Interpret the VIX Range

– Trading the VIX Range

Jay Bailey was a Sheridan Mentoring student before joining the SOM staff as a Mentor. Jay has been passing on his knowledge for over 10 year at Sheridan and is excited to bring this in depth look at Volatility!

Class Format: You get Immediate access to this is a Pre-Recorded On-Demand class! Once a student purchases this course, an email is then sent, containing login credentials to access the archived class page. Purchasing access to a class gives at least 6 months of access to all recordings, as well as PDF’s and PowerPoints.

Class Specifics:

• 1 hour of recordings archived for your review.
• 25 slides in PDF.
• You can email questions directly to Mark with your “Ask Jay a Question” button on your archive class page.

Trading foreign exchange, cryptocurrencies, and algorithmic assets on margin carries a high level of risk and may not be suitable for all investors. Past performance of any trading system or quantitative blueprint does not guarantee future results.<br><br><b>Asset Classification:</b>