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Thursday, May 28th
at 7:00 PM Central

Discover the future of profiting from stock charts!

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Boost Options Performance with “AI”

How to Use Statistical Backtesting for Multiple Trade Types

Host: Henry Gambell & Ophir Gottlieb

Thursday, May 28th, 2020 at 7:00 PM Central

Here's what you'll discover:

Case Study: Henry’s $28k profit in NVDA

The exclusive new tool tab added to the CML Trading Machine

Ophir’s 3 trade types (and how to use them)

The power of visual data and accelerated computing in real-time on a stock chart

Access to fresh, actionable setups daily

The effectiveness of backtested information (and how it can improve your trading game)

And so much more...

FREE LIVE WEBCAST

Thursday, May 28th
at 7:00 PM Central

Discover the future of profiting from stock charts!

We don't share your information.

henry-gambell-vice-president

Henry Gambell

Henry Gambell began his career as an IT professional with a passion for gambling, which by no accident landed him at John Carter’s door one fateful day in 2010. After observing his calm demeanor, John recognized the potential trader inside him. He decided to train Henry in his craft. Henry left his job and joined John in what was at the time, the beginnings of a business being run out of an apartment. They started the company that is now Simpler Trading, and Henry helped contribute to the second edition of Carter’s book, “Mastering the Trade.” Henry is now our Vice President and Lead Content Provider.

Henry dives into trading with the opening bell, and you can usually find him in our chatroom trading the market open. He is primarily a conservative, directional trader, with a trend following, conservative take on the markets. The complex, income generating options strategies he utilitizes such as butterflies, unbalanced butterflies, credit spreads with occasional long calls and puts when he's really feeling aggressive allow him optimal risk to reward scenarios. During his sessions, you can find him scanning for

Ophir-Gottlieb

Ophir Gottlieb

As one of the most influential options traders in today’s market, we could devote a whole website to Ophir’s credentials!

Not only is he one of the earliest scientists to identify deep learning, and in particular, neural networks, as a novel approach to examining financial markets.

Mr Gottlieb’s mathematics, measure theory and machine learning background stems from his graduate work in mathematics and measure theory at Stanford University and his time as an option market maker on the NYSE and CBOE exchange floors. He has been cited by various financial media including Reuters, Bloomberg, Wall St. Journal, Dow Jones Newswire and through re-publications in Barron’s, Forbes, SF Chronicle, Chicago Tribune and Miami Herald and is often seen on financial television

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