Happy Fourth of July – Shortened Trading Week in the Markets

Tom Gentile

Posted in
Newsletter

By: Tom Gentile
July 4th, 2024

3 mins read
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Weeks that are shortened due to a national holiday tend to experience lower trading volume and with that lesser price volatility.

This week the markets are closed July 3 at 1pm US ET and closed entirely July 4. This year with the Fourth happening on Thursday I would be surprised if more folks aren’t just going to make for an extended vacation, resulting in less people around to trade on Friday, July 5 – I know I will not be trading on Friday.

If you are going to trade be aware of this.

If you too are taking an extended weekend off, enjoy time with family and friends in celebration of our country’s independence.

Tom Gentile
C1P: Chief 1-Percenter


Markets in Focus: SPY – SPDR S&P 500 ETF Trust

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550 is a previous resistance level recently established.  A close above that makes for potential all-time highs in the index.  The NASDAQ is at or near all-time highs as well.

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Tools and Observations

Magnificent 7 stocks post Independence Day

It’s no secret by now, especially if you have been folloing my education and reading or listeneing to my market updates and commentary that AI stocks are all the rage.

Beause I am not planning on option trading this week for reasons already menbtioned, I want to focus my attention on how the Magnificent 7 stocks fare after Independence day.

I am going to use the Money Holidays tool, which is a means to analyze how stocks perform over certain perio of days prior to or after a National Holiday.

I like 20-30 day patterns for Money Calendar patterns so this is the results looking for patterns from 20-30 days.

I will take a look at how theses stocks have performed 10-days after the holiday as a way of seeking out Step 1 of my three step option trading process, which is Spot and Opportunity.

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The highest avg. profit move for MSFT is the 30-day pattern at $6.50.  It’s done this 80% or 8 out of the past 10 years.

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The highest avg. profit move for AAPL is the 30-day after pattern at $6.73. It’s done this 70% or 7 out of the past 10 years.

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The highest avg. profit move for GOOGL is the 29-day pattern at $6.17.  It’s done this 90% or 9 out of the past 10 years.

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The highest avg. profit move for AMZN is the 29-day pattern at $5.63.  It’s done this 70% or 7 out of the past 10 years.

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The highest avg. profit move for META is the 29-day pattern at $9.27.  It’s done this 80% or 8 out of the past 10 years.

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The highest avg. profit move for META is the 30-day pattern at $6.93.  It’s done this 70% or 7 out of the past 10 years.

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The highest avg. profit move for NVDA is the 24-day pattern.  It’s done this 70% or 7 out of the past 10 years. *Adjusted for 10:1 stock split.

I encourage everyone to consider acquiring my System Mastery – Mastery on Demand as I teach the Money Calendar pattern in that mastery, which will give you further insight as to this powerful scanning tool and a variety of option strategies one can employ using this historical price performance data.

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Special Offer

Join Mastery On-Demand!

Have you ever wanted to join the Mastery Program but couldn’t make the live events? Well this year I wanted to change it up and offer you the ability to learn on your time with our brand new Mastery On-Demand offering.

Choose from a wealth of Mastery Programs including our System Mastery, Hedge Fund Mastery, and Trend Mastery — or choose to get access to all of them with the All Access pass.

Tom Gentile
C1P: Chief 1-Percenter


Disclaimers

Stock and options trading has large potential rewards, but also large potential risk.

You must be aware of the risks and be willing to accept them in order to invest in the stock and options market. Do not trade with money you cannot afford to lose.

This is neither an offer to buy/sell/ or recommend a particular stock or option.

Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been actually executed, the results may have under or overcompensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with hindsight.

No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.

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