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Patterns To Watch

The Best Setup of the Year Starts Tonight

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Written by Timothy Sykes
Updated 3/4/2026 4 min read

An Iranian drone hit a residential building in Dubai on Sunday morning. Thankfully, it failed to detonate.

Because I literally had an Airbnb booked nearby starting Monday.

This is real, people. The Middle East is a battle zone. The markets are rattled.

But my AI doesn’t even know there’s a war going on…

Yesterday at 3:15 PM, my AI XGPT flagged two stocks.

Both spiked minutes after the alert.

MOBX: $1.05 entry, $1.18 exit, 12.4% gain in under 20 minutes.*

TURB: $2.55 entry, $2.88 exit, 12.9% gains in under 30 minutes.*

My students saw the alert, bought the entry, watched volume flood in, and sold into strength.

XGPT crushed simple gains while everyone else was reading panic articles, dooming themselves to thinking this market is too dangerous to trade.

I’m watching literal drone strike footage of a building I had a reservation at tomorrow…

And my AI is still ruthlessly extracting gains like the cold, calculated robot it is.

The spikes don’t stop just because the world is on fire, in fact…

The best setup of the year starts tonight

The Spikes Keep Coming

I’ve traded through every crash and war over the past 25 years.

The news always freaks out. Normie investors start panicking…

But what do you know, incredible trade setups keep appearing, just waiting for anyone who isn’t frozen with fear and indecision.

TMD Energy Limited (NASDAQ: TMDE) spiked from around $1 to $5 on Monday.

Battalion Oil Corp (NASDAQ: BATL) spiked from around $18 to $35 yesterday.

Pull up the TMDE chart from Monday and the BATL chart from Tuesday.

Compare them side by side…

Tight consolidation with decreasing volume. Price coiling, tighter and tighter…

Then the breakout with massive volume surging in as the stock rips higher.

The pattern is identical.

My students spotted it on TMDE Monday morning because they were awake at 4-5 am EST, building their watchlists.

Then, 24 hours later, they saw the exact same coiling pattern forming on BATL and executed again.

Same setup, different ticker, just 24 hours apart.

It’s all about pattern recognition. This is why I constantly tell my students to study charts.

If you can learn to recognize these patterns immediately, over and over again…

You’ll have a skill that can pay you for a lifetime.*

The Only Reason You Missed These Spikes

Seeing the consolidation pattern could’ve led you to BATL and TMDE…

But not MOBX or TURB.

That was all my AI, XGPT…

I’ve spent over a year building XGPT and invested over $1.5 million getting this system running.

And these 2 alerts were just the tip of the iceberg…

TONIGHT at 8 PM ET, I’m hosting a FREE briefing on XGPT Supercharged. 

NVIDIA CEO Jensen Huang is predicting a 100X catalyst for AI. If he’s right, we could see major moves starting March 16th.

I’ll show you what’s coming, how the AI works, and give you a brand-new stock pick live.

MOBX and TURB delivered double-digit gains in minutes.*

Past XGPT forecasts have flagged stocks before they spiked 256%, 340%, even 432% in a single day.*

And XGPT is just getting started. 

Cheers,

Tim Sykes



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Timothy Sykes

Tim Sykes is a penny stock trader and teacher who became a self-made millionaire by the age of 22 by trading $12,415 of bar mitzvah money. After becoming disenchanted with the hedge fund world, he established the Tim Sykes Trading Challenge to teach aspiring traders how to follow his trading strategies. He’s been featured in a variety of media outlets including CNN, Larry King, Steve Harvey, Forbes, Men’s Journal, and more. He’s also an active philanthropist and environmental activist, a co-founder of Karmagawa, and has donated millions of dollars to charity.
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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. See Terms of Service here

The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is 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. Millionaire Media LLC and Timothy Sykes 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. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes 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.

Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”