Josh Mullins

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Josh Mullins

Josh Mullins

@ETFbreakouts

I buy ETF breakouts and the strongest stocks inside them. Theme-first momentum trading | CANSLIM/VCP/EP style | Full-time trader.

Denver, CO Katılım Ocak 2019
401 Takip Edilen291 Takipçiler
Josh Mullins
Josh Mullins@ETFbreakouts·
@TheLongInvest $MAG 4 of the 7 will almost certainly be dead money for a decade. Go back and study history of previous market leaders. They rarely lead the next bull market!
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The Long Investor
The Long Investor@TheLongInvest·
Buying any of the Mag 7 under their 200 WMA is the move Then hold. You don’t have to do anything else
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Josh Mullins
Josh Mullins@ETFbreakouts·
@JEFETRADES Don’t fall for $MSFT value trap!
Josh Mullins@ETFbreakouts

$MSFT Value Trap: Everyone's talking about $MSFT trading at its lowest forward P/E in years. They think it's cheap. It's not. It's a value trap. $MSFT has spent tens of billions on AI integration and the market is telling you it hasn't worked. Copilot adoption is underwhelming. Capex is exploding. Gross margins just hit a 3-year low. And Q3 operating margin guidance came in below consensus. The P/E compression is hiding the real story. Translation: that falling P/E ratio everyone is celebrating? It's not telling you the whole story. Price-to-free-cash-flow: 37x against a 10-year median of ~33x. FCF yield is 2.7% — worse than 75% of its industry. Free cash flow actually declined in FY2025 while capex grew 58%. They're tracking toward $120B+ in capex for FY2026. Cash is going out the door faster than it's coming back. Here's what the "low P/E" crowd isn't thinking about: $MSFT is spending $120B+ this year building AI data centers. That capex doesn't hit earnings all at once — it gets expensed over the next 5+ years as depreciation. In plain English: the costs from today's spending spree will be dragging down earnings well into 2028, 2029, 2030. That "cheap" P/E? It's about to get worse, not better — even if revenue grows. A falling P/E with deteriorating free cash flow and a future depreciation headwind isn't cheap. It's a trap. The stock is down because institutional holders are repricing the AI monetization timeline — not because the market is mispricing the business. Cheap gets cheaper when the tide is going out. 🐻

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The Chart Report
The Chart Report@TheChartReport·
We often see bottoms occur when less than 20% of S&P 500 stocks are above both their 20 and 50-day moving averages. @SmartReversals
The Chart Report tweet media
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Josh Mullins
Josh Mullins@ETFbreakouts·
@HeroDividend Don’t fall for the value trap!!!
Josh Mullins@ETFbreakouts

$MSFT Value Trap: Everyone's talking about $MSFT trading at its lowest forward P/E in years. They think it's cheap. It's not. It's a value trap. $MSFT has spent tens of billions on AI integration and the market is telling you it hasn't worked. Copilot adoption is underwhelming. Capex is exploding. Gross margins just hit a 3-year low. And Q3 operating margin guidance came in below consensus. The P/E compression is hiding the real story. Translation: that falling P/E ratio everyone is celebrating? It's not telling you the whole story. Price-to-free-cash-flow: 37x against a 10-year median of ~33x. FCF yield is 2.7% — worse than 75% of its industry. Free cash flow actually declined in FY2025 while capex grew 58%. They're tracking toward $120B+ in capex for FY2026. Cash is going out the door faster than it's coming back. Here's what the "low P/E" crowd isn't thinking about: $MSFT is spending $120B+ this year building AI data centers. That capex doesn't hit earnings all at once — it gets expensed over the next 5+ years as depreciation. In plain English: the costs from today's spending spree will be dragging down earnings well into 2028, 2029, 2030. That "cheap" P/E? It's about to get worse, not better — even if revenue grows. A falling P/E with deteriorating free cash flow and a future depreciation headwind isn't cheap. It's a trap. The stock is down because institutional holders are repricing the AI monetization timeline — not because the market is mispricing the business. Cheap gets cheaper when the tide is going out. 🐻

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Dividend Hero
Dividend Hero@HeroDividend·
Microsoft $MSFT is getting too cheap to ignore
Dividend Hero tweet media
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Josh Mullins
Josh Mullins@ETFbreakouts·
@qualtrim Don’t fall for the value trap! P/E is the wrong metric. P/CF is what drives stocks and $MSFT is at its 10 year high!!!
Josh Mullins@ETFbreakouts

$MSFT Value Trap: Everyone's talking about $MSFT trading at its lowest forward P/E in years. They think it's cheap. It's not. It's a value trap. $MSFT has spent tens of billions on AI integration and the market is telling you it hasn't worked. Copilot adoption is underwhelming. Capex is exploding. Gross margins just hit a 3-year low. And Q3 operating margin guidance came in below consensus. The P/E compression is hiding the real story. Translation: that falling P/E ratio everyone is celebrating? It's not telling you the whole story. Price-to-free-cash-flow: 37x against a 10-year median of ~33x. FCF yield is 2.7% — worse than 75% of its industry. Free cash flow actually declined in FY2025 while capex grew 58%. They're tracking toward $120B+ in capex for FY2026. Cash is going out the door faster than it's coming back. Here's what the "low P/E" crowd isn't thinking about: $MSFT is spending $120B+ this year building AI data centers. That capex doesn't hit earnings all at once — it gets expensed over the next 5+ years as depreciation. In plain English: the costs from today's spending spree will be dragging down earnings well into 2028, 2029, 2030. That "cheap" P/E? It's about to get worse, not better — even if revenue grows. A falling P/E with deteriorating free cash flow and a future depreciation headwind isn't cheap. It's a trap. The stock is down because institutional holders are repricing the AI monetization timeline — not because the market is mispricing the business. Cheap gets cheaper when the tide is going out. 🐻

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Qualtrim
Qualtrim@qualtrim·
Microsoft is now down -33%. PEG: 1.50x Here are 5 Microsoft charts you need to see if you're thinking about buying this stock: 1. $MSFT: Revenue v. P/S ratio
Qualtrim tweet media
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Josh Mullins
Josh Mullins@ETFbreakouts·
You know you are in a Bull market when support is consistently acting as support. You know you are in a Bear market when support is consistently acting as support. I know what I am seeing. What are you seeing?
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Josh Mullins
Josh Mullins@ETFbreakouts·
@MikeZaccardi Yesterday increased the probability for one more leg down. Could be the final flush before the low is in.
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Connor Bates
Connor Bates@ConnorJBates_·
Losing the 200-day MA after staying above it for 200 days or more has usually meant a period of consolidation rather than the start of a deep bear market. Since 1950, the S&P 500 has gained 8.3% on average over the next year Source ~ @RyanDetrick @CarsonResearch
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Josh Mullins
Josh Mullins@ETFbreakouts·
@FelipeGuirao It’s so obvious! Yet so many are holding on to hope instead of having a sound plan. And buy and hope is not a plan.
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Felipe Guirao
Felipe Guirao@FelipeGuirao·
When you look at these 2 charts, it's hard to be bullish (unless the war ends tomorrow)... $MAGS $UVIX We are seeing the Mag7 building a bear flag at this point at major support, with our LS Breadth indicator at bearish levels, and if we break this major support area, we can see the market take a dive. Volatility coiling up, is a supporting piece of evidence, not looking good for bulls obviously. Follow the price action cycle, follow price, and you will ride the big move on either side 📈
Felipe Guirao tweet media
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Josh Mullins
Josh Mullins@ETFbreakouts·
Covered this in detail over the weekend — same data, same conclusion with one critical addition. 20 and 50 DMA breadth being this oversold confirms the bounce case. The kind that makes people think the bottom is in. But the 200 DMA breadth tells the real story. Still in correction territory — not even close to a bottoming signal. We need sub-20% before that means anything. That’s the trap. Bounces off 20/50 DMA oversold readings look exactly like bottoms until they don’t. 2022 roadmap: $SPX bounced 10% off the 3/14/22 low before the real flush came. x.com/ETFbreakouts/s…
SmartReversals📈@SmartReversals

$SPX: When the percentage of stocks above their 20 and 50 daily moving averages is this low (below 20%), a bottom is typically in or nearby. How sustainable will be this bounce?

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Josh Mullins
Josh Mullins@ETFbreakouts·
Agreed — and I’ve been saying this since the beginning of March. Called the $NYA top on 3/1 using breadth divergences. Same signal, same framework. The distribution was already showing up in the data before most people acknowledged there was a problem. The $COMPQ chart tells the same story breadth has been telling for weeks — volume shelf distribution, bearish EMA crossover, and 200 DMA breadth nowhere near a bottoming signal. Everyone buying this dip is walking into the same trap as 3/14/22. $SPX bounced 10% before the real flush came. This is not a bottom. It’s a setup. Follow my profile — the evidence has been building one post at a time. x.com/ETFbreakouts/s…
Rock Bottom Entries@RockBtmEntries

The Nasdaq is the most unbuyable chart in the market. Yet everyone’s still rushing to buy the dip. This is what late-cycle price structure looks like.

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Josh Mullins
Josh Mullins@ETFbreakouts·
@MichaelPBento I continue to search for reasons to be bullish. Evidence of a waking bear continues to mount.
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Michael Bento
Michael Bento@MichaelPBento·
If you’re bullish then don’t compare Monday’s opening hour volume with today’s. You also don’t want to continue to consolidate at this level because it’s risking a negative rsi divergence. Right now the only hope of not still being on the path to 640 is a break above Monday’s high, anything other than that will allow the two gaps directly below to act like powerful magnets to the price action.
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Josh Mullins
Josh Mullins@ETFbreakouts·
The evidence continues to mount for a deeper correction. Follow my profile — I’ve been posting the data points one by one since 3/1/26. Weak auction demand two days in a row. Yields rising. $DBA, $XLE, $DBC all catching a bid. Capital is rotating out of equities and into inflation assets. That’s not a bounce signal — that’s a warning sign. Breadth was already deteriorating. This accelerates it.
Michael Bento@MichaelPBento

That was a terrible 5-year auction. Second day in a row I'm giving a D- to a treasury auction. That bid to cover is abysmal.

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Jake Wujastyk
Jake Wujastyk@Jake__Wujastyk·
$GOOG $GOOGL Make or break time.
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Dr. Stoxx
Dr. Stoxx@DrStoxx·
Someone asked about $NVDA: not a good look here. More likely to break lower than higher. Also, no reaction today to all the big moves in the chips space. You'd think there would be some carryover.
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Josh Mullins
Josh Mullins@ETFbreakouts·
@Venu_7_ $NVDA still unable to catch a bid though. Can Semis sustain a rally without their leader? x.com/ETFbreakouts/s…
Josh Mullins@ETFbreakouts

POST — $NVDA: The $SMH Problem $SMH chart looks constructive. A number of underlying semis are showing strength. $ARM is rallying hard. $AMD up 7.5% today after putting in higher lows on a rising 200 DMA. One problem: $NVDA. It's stuck below a cluster of flattening and downward-sloping moving averages — the 10, 21, 50, and 200 DMA are all converging and pressing down on price. That's not consolidation. That's overhead supply. Distribution is rampant. Look at the red volume spikes on down days and down weeks. Institutional selling has been persistent since November. RVOL is pacing below average on today's bounce — not exactly a conviction reversal. Here's why this matters beyond just $NVDA: $NVDA is ~18% of $SMH. It's ~8.5% of $QQQ. It's ~7% of the $SPX. No single stock has this much gravitational pull across the three indices everyone watches. $SMH can rally without $NVDA for a few days — but it can't sustain a real move while its largest component is pinned under declining moving averages with active distribution. The question isn't whether semis are bouncing. They are. The question is whether $NVDA can reclaim and hold above this moving average cluster. If it can't, $SMH has a ceiling — and so does any "broad market recovery" narrative. Until $NVDA can get above the 3/16 high of ~$189; this is a headwind for the entire market.

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Venu
Venu@Venu_7_·
All the OG chip names are breaking out - this is where I’m paying attention. Yes, the market has its issues, but you can’t ignore these names. $ARM $AMD $MRVL $INTC
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Josh Mullins
Josh Mullins@ETFbreakouts·
@CFlanders7 Most traders that would sign up for USIC that is! I am pretty sure 90%+ of all traders are not consistently profitable .
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Josh Mullins
Josh Mullins@ETFbreakouts·
@CFlanders7 Surprising! I assumed most the traders would be profitable.
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Christian Flanders
Christian Flanders@CFlanders7·
Results for USIC by year. 2020 was one for the record books. Appreciate how hard this game is. Just being profitable is difficult. I have spoken to traders who were profitable and chose not to report but they probably make up a small # of the traders who enter. Even if you bump the numbers up by a few %, on average only ~20% report being profitable for any year.
Christian Flanders tweet media
Andrew O'Connell, CFA, FRM@realpristinecap

I wasn't joking gang! Only 20% of participants are currently reporting profits in the US Investing Championship so far this year There's still plenty of time to turn things around. LFG 😤

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Josh Mullins
Josh Mullins@ETFbreakouts·
Memory group still holding up well. One of the last leadership groups left in this dying bull market. But I am with you, for different reasons. My analysis is purely based on price action — $MU had one of the biggest earnings beats and raises in the history of large cap stocks last week. The response was terrible. That tells you everything about where we are in the cycle. I expect these to rollover. But if they don't and the overall market changes direction, I'll change my outlook when the market tells me to — not before.
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Ejaaz
Ejaaz@cryptopunk7213·
wow google might've popped the ai bubble, memory stocks down massively today: their new algorithm shrinks an AI model's memory by 6X WITHOUT reducing it's intelligence making it 8x faster with the SAME # of GPUs: if this works - we don't need as many GPUs to train AI - kv-cache is basically a model's short term memory. it gets massive pretty quickly = larger, slower, expensive ai - google's algo compresses it to just 3-bits with ZERO loss in accuracy (usually models are like 32-bit) the combined market cap of micron and sandisk is $527 billion and im not even factoring in SK hynix and samsung ai has driven up memory prices by 500%+ over the last few months - if google's algo scales then this might crash.
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Google Research@GoogleResearch

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI

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