New post in Blanc Charts: $UBER market cap is now $134B, they have approx $2-3B of net debt and they're expected to generate $8-10B of FCF through year end... we'll just call that $126B enterprise value assuming the stock price stays flat for the next 5+… https://t.co/XLpMVMfCte
Wow... this is insane.
Google crushed earnings by so much, it's TTM P/E ratio fell from 24x to 16x overnight.
In the blink of an eye, Google now trades at its CHEAPEST valuation since Jan 2015.
It now ranks in the top 20% of lowest P/E names in the S&P 500... 🌶️
$GOOG $GOOGL
Technology stocks have been one of this year's strongest performers, gaining nearly 22% YTD.
Short-Term Market Health started to weaken in early June. Now, Mid-Term Market Health has also fallen below the critical 50% threshold, signalling that the majority of trend, market breadth and sentiment indicators have turned negative.
Historically, this transition has marked a shift from a supportive market environment to one where downside risk increases and rallies become progressively less reliable.
Markets rarely form durable lows simply because prices have fallen. They do so when market internals begin to recover. Until then, technology stocks remain vulnerable to further downside.
History says there is a 100% WIN RATE Buying this dip
Since 1954 $SPY has gained the following year 100% OF THE TIME
18 out of 18.
Average return: +20.7%.
History never guarantees the future.
But when a pattern has repeated for over 70 years, it’s worth paying attention.
STMicro $STM Q2 Earnings: Crushed 🔥
Adj. EPS: $0.31 vs $0.27 est
REV: $3.487B vs $3.379B est
Gross Margin 34.8%
Operating Income $187M
Net Income $222M
CEO: "We anticipate a revenue growth acceleration in Q4, mainly driven by our engaged customer programs in AI datacenters and LEO satellite communication."
New post in Blanc Charts: "TSMC plans to build 25 fabs over 5 years." $TSM is responding to semiconductor supply shortages & demands driven AI data centers. This would increase production capacity by 1.5 times from current levels (currently 16 fabs: 11 f… https://t.co/fufaCjL9IK
$MU BLUE candle fired. +7% pop.
Middle BB has been tested multiple times today and hasn't broken it yet. 0.5 fib holding underneath. Constructive. Massive Google capex increase. LFG!
300+ charts daily. Try it free:
https://t.co/ZQDP5HCFyq
New post in Blanc Charts: Q2 2026 earnings for the big five US banks - Goldman Sachs
$GS
: profit +78%, stock +9.00% - Citi
$C
: profit +45%, stock -5.29% - JPMorgan
$JPM
: profit +41%, stock +2.50% - Bank of America
$BAC
: profit +27%, stock +1.88% - We… https://t.co/dRfPcjmRDS
New post in Blanc Charts: Alphabet $GOOGL delivered a massive Q2 2026, with revenue up 24% YoY to $119.8B and operating income rising 30% YoY to $40.8B. Search revenue grew 17% YoY to $63.3B, while Google Cloud had its fastest growth quarter ever, surgin… https://t.co/XGvgGKCz3H
KeyBanc on $MU PT $1750
We expect MU will post better results and higher guidance, driven by continued memory shortages and pricing upside, with DRAM pricing expected to be +15-20% q/q in 3Q26 and +15% q/q in 4Q following +45-55% in 2Q, while NAND pricing is expected to increase +30-40% q/q in 3Q and +15% q/q in 4Q following +75% q/q in 2Q. We also remain constructive on MU’s HBM positioning, with MU fully qualified on HBM4 for Rubin and expected to benefit from HBM price resets in 1Q27, where we expect HBM4 pricing to be ~+100% y/y and HBM3E +150% y/y. In addition, MU’s 16 multi-year LTAs (SCAs) represent >$100B of minimum contracted revenue with price floors for large hyperscale customers locking in >prior peak GMs (>61%). We do not expect industry conditions to loosen until at least 2028, as clean room expansions do not begin contributing capacity until likely 2H27, and will still likely under-pace demand growth. We are looking for better F4Q26 (Aug) results and higher F1Q27 (Nov.) guidance. Our F4Q26 revenue/EPS ests are $52.1B/$32.36 vs. cons est of $50.5B/$31.16, and our F1Q26 revenue/EPS estimates are $60.2B/$38.03 vs. consensus estimates of $56.3B/$34.76. Street sentiment on the name is positive given tight supply conditions for DRAM and NAND resulting in price increases, expected through at least 2027. We expect investors will be focused on: 1) pricing and bit supply/demand growth for NAND and DRAM; 2) updates related to HBM4 ramp and pricing renegotiations; 3) capacity expansion updates; and 4) New multi-year LTA announcements.
New post in Blanc Charts: KeyBanc on $MU PT $1750
We expect MU will post better results and higher guidance, driven by continued memory shortages and pricing upside, with DRAM pricing expected to be +15-20% q/q in 3Q26 and +15% q/q in 4Q following +45-5… https://t.co/8kG0X2o5sy
Despite the selloff, semiconductors have seen heavy inflows over the past few weeks. So far, it appears more like dip buying than broad risk aversion. Despite the Iran headlines over the weekend, buyers look to be stepping in this morning into semis once again.
h/t @ISABELNET_SA
New post in Blanc Charts: UBS: $MU COULD REPURCHASE MORE THAN 40% OF ITS SHARES BY THE END OF 2028
UBS expects Micron to generate over $40 billion in free cash flow through 2028. Once its buyback restriction expires on December 9, 2026, the company coul… https://t.co/C9js5lETm2
New post in Blanc Charts: REFERENCES
Barber, B.M. & Odean, T. (2000). Trading is Hazardous to Your Wealth. Journal of Finance, 55(2), 773–806.
DALBAR (2025). Quantitative Analysis of Investor Behavior (QAIB). https://t.co/GPZT1Bm2M3.
De Silva, T., Smith,… https://t.co/IjxRGgA06q
New post in Blanc Charts: Five Tactics to Navigate Risk Without Overreacting
None of the evidence above argues for passivity in the face of market risk. Risk is real, volatility is real, and periods of genuine portfolio danger require thoughtful response… https://t.co/rBlH0ZyUQa
New post in Blanc Charts: The mechanics of the losses fall into three repeating behavioral traps. First, retail traders systematically overpay for options relative to the realized volatility the underlying actually delivers, especially around earnings an… https://t.co/he4VYLvV1e
New post in Blanc Charts: DALBAR’s “Guess Right Ratio,” meaning how frequently investors correctly time their entries and exits, fell to just 25% in 2024, tying a record low. Retail traders got market direction right just once out of every four times. An… https://t.co/nLiARK5tKg
MARC ANDREESSEN WENT ON ROGAN FOR OVER 3 HOURS. HERE ARE THE 17 THINGS WORTH YOUR ATTENTION.
1. AGI is already here, in his view. He says the line got crossed about 3 months ago with GPT-5.5, Claude 4.6, Gemini 3, and Grok 4.3, and nobody noticed because the field moves too fast to register milestones anymore.
2. For almost any topic, he says the top models now give him better answers than the world-class experts he could call by phone, and he can call almost anyone. Worth noting he has not published data behind this, and a separate Nature Medicine study on a comparable AI health tool found it missed real emergencies more than half the time. Take the claim seriously, verify it yourself.
3. His claim on doctors: they are already using ChatGPT in the exam room, typing your symptoms in the moment you stop talking. His actual quote: "at that point you're asking the question of like, what do I need you for."
4. Reportedly, when AI declines to answer something, he tells it he's writing a novel to get past the refusal.
5. Reportedly, his technique for hard topics is escalating simplicity: explain it like I'm 10, then 5, then 2, until it clicks.
6. Reportedly, instead of asking for the "right" answer, he has the AI steelman both sides of a hard question, then decides himself.
7. Reportedly, for big questions he has the AI role-play a panel of experts arguing with each other.
8. His broader point: the moment you think "I don't know how to figure this out" is exactly when most people give up, and exactly when you should open the AI instead.
9. His view: the only real skill left is knowing what to ask. The bottleneck is in your head, not the model.
10. He describes sending AI photos, rashes, blood tests, for a fast second opinion, since current models read images directly.
11. He points to CBT as the one clinically proven therapy type that AI can plausibly deliver on its own, meaning real therapeutic support becomes freely available at scale.
12. He cites AI cracking previously unsolved math problems, with early signs of the same happening in physics, chemistry, and biology.
13. Reportedly, he claims the top AI coders in Silicon Valley now earn as much as $50 million a year, which he uses as a signal of how large this shift actually is.
14. Reportedly, a friend paid to sequence his own DNA, fed it to an AI along with blood work and wearable data, and got back a working health dashboard.
15. Reportedly, another friend set up cameras in his home jiu-jitsu gym so AI could review his sparring and give him technique notes.
16. He coined the term "AI vampire" for the pattern of people working more and sleeping less because AI keeps making more output possible, a real term he used, though the framing around it varies by account.
17. His extrapolation: one person eventually running many AI coding agents, each reviewing the others, describing this as close, not years out.
Watch the full interview before treating any single number as settled. Several of these are Andreessen's stated views and anecdotes, not independently verified facts.
Follow @cyrilXBT for every AI insight worth your attention the moment it surfaces.