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Textbook Play Book Intro

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Using AI (Artificial Intelligence) to calculate my data in an easy to understand slide

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Preview Of Chapter 4 52 Week Breakout Strategy Chapter

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Using AI To Document my 1000 Examples

I used AI to find my average winner and build the perfect blueprint to day trader stocks.

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Textbook Playbook - Expected To Be Between 13-20 Hours Long

Chapter 1 Market - Schedule - Whoop - 50 Minutes

Subchapters:

Cold Market News Algo

When Market Gets Shitty

Cold Market Sizing

Examples of shit market

Hot Market Sizing

Personal Bias Based on Day and Hour

Reasons I don't Trade prior to 9am monday

Typical daily bias Small Caps

What I need as a trader

Whoop Recovery Score

Why I don't short first Day of the week

Chapter 2 Rules and staying away from danger - 52 Minutes

Subchapters

Updated Updated Rules 2025-2026 20 New Rules To Apply to your trading

Abnormalities 

Cutting Losses is Important 

Textbook News Facebook, Patent, Cancer, Phase 2

Offerings

Shorting After 10:30

Teleport Candles

What Not To Short Grinders, Insitutions, 52 week high

Basic Rules Review

Chapter 3 Market Cycles - The 1st Big Mover - Trade Idea Stock Selection - 1 Hour

Subschapters

1 Obvious Movers (2 cycles)

1 Obvious Mover

The Cycles Of Small Caps

Trade Ideas Settings Explained In Detail

Chapter 4 Strategies - 7 Hours Finished - Expected to be 12-15 Hours Long

Buying:

   52 week breakouts 25 slides - 47 minutes

   Daily Breakout 42 Slides - 1hr20minutes

   Day 2 Continuation 28 Slides - 48 minutes

   First Green Day Bounce 44 slides - 1hr45min

   Premarket 7 Am Push 21 Slides - 41 minutes


VWAP

   Premarket Vwap Reclaim 49 Slides

   Vwap Bounce After Open 14 slides

   Vwap reclaim after 9:30 28 slides


Intraday Breakout Patterns  

      Opening Range Breakout 8 Slides   Part One 1Hr 47 min

      Premarket Breakout 60 Slides          Included Part One

      Trendline Breakout 60 Slides            Included Part One

       Wedge Breakout 60 Slides


Shorting

      Day 2 Short 28 Slides - 34 Minutes 

      Day 3 Short 9 Slides - 15 minutes

      Gap Up Short - Short Daily Trendline 28 Slides


Bonus Day 2 Short Bonus 14 min

Bonus Day 2 Short Short Tuesday 22 Minutes

Bonus Day 3 Short $4 Mill Profit Bonus 20 Minutes


Chapter 5 AI (Artificial Inteligence) Data On All Trades


Using AI To calculate Average percentage gain on each setup and discussing the similarities in these setups.

Average Percent Gain

%Gain Left On The Table

Average Float for each strategy

Trade Ideas Settings

Course Includes Trade Ideas Bundle Listed Here Valued at 500$

LIFETIME ACCESS

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* Results are not typical and will vary from person to person. Making money trading stocks takes time, dedication, and hard work. There are inherent risks involved with investing in the stock market, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk. 

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LS Training LLC This is for information purposes only as LS Training is not a registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. LS Training LLC cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. LS Training LLC in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, LS Training LLC accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.


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