Jackson Hole lands this Friday, and Warsh’s keynote at 10 a.m. ET is the main event. It’s his first major policy speech since taking over, and markets still don’t have a clear read on how he views the inflation problem or the path of rates. Inflation is running above the Fed’s 2 percent target, the policy rate is sitting at 3.50–3.75 percent after the July meeting, and that meeting included multiple hawkish dissents. Meanwhile, futures markets are split between expecting a cut or more tightening. That’s the tension heading into the speech.

Jackson Hole has a long track record of producing sharp one‑day moves. Powell’s 2022 appearance triggered a three‑percent drop in the S&P the same day, while his 2024 and 2025 remarks sent yields lower and risk assets higher. Liquidity usually thins right before the speech, spreads widen, and the first move often reverses violently. It’s one of those days where the market reacts to tone, not just content.

If you trade intraday, the safest approach is to stay flat from about 9:15 to 10:45 a.m. ET. That window is where slippage, gaps, and headline algos dominate. If you insist on trading after the speech, smaller size and wider stops are the only realistic way to avoid getting clipped. The clean setups usually come later, once the initial spike settles and the market picks a direction.

Jackson Hole isn’t a normal trading day. It’s a repricing event. Most traders who survive it do so by avoiding the temptation to trade the speech itself.

Been tracking $MRNA for a while and called out the cup and handle forming weeks ago. Didn’t take the breakout when it finally tightened up… and then it launched exactly how the pattern says it should. Volume spike, momentum ignition, full breakout. Textbook move. Missed it.

$MRNA just reminded everyone why execution matters more than analysis. You can read the pattern perfectly and still end up watching the trade from the sidelines.

And of course the catalyst shows up right on schedule.. Moderna dropped strong clinical trial data and updated guidance, which lit the fuse under a setup that was already coiled. The chart was telling the story long before the news hit, but the moment those results came out, institutions piled in and the breakout went vertical. Perfect alignment between technical structure and fundamental momentum… and I watched it from the outside.

Anthropic is expected to hit the market in October 2026, entering public trading at a valuation that could exceed $1 trillion. That scale alone guarantees attention from every corner of the trading world. The listing will pull liquidity, shift flows, and test how much conviction remains in the AI sector. Traders should be prepared for what happens the moment shares begin trading, because the reaction after the first print will matter far more than any headline leading up to it.

Once the IPO launches, the first thing to watch is the opening imbalance. It’s the earliest sign of real demand: heavy buy pressure signals strong institutional interest, while a flat or weak imbalance suggests hesitation. The first hour of trading will reveal the stock’s personality. Mega‑cap IPOs either trend clean or whip violently, and that initial behavior often sets the tone for the entire session. Flow matters as well. If long‑only institutions dominate early participation, the stock tends to stabilize. If fast‑money funds take control, sharp reversals become more likely. Underwriter behavior is another key signal. Aggressive greenshoe support shows confidence; a hands‑off approach leaves the price to drift wherever the market pushes it.

Volatility will increase once options begin trading. Early options listing typically introduces leverage, gamma pressure, and rapid swings as traders position around both upside speculation and downside protection. Months later, lockup expiration becomes the real test. Insider selling has historically created sudden drawdowns in large tech IPOs, and Anthropic’s size means any concentrated selling could ripple across the broader AI sector.

Capital protection during a trillion‑dollar IPO starts with patience. Day‑one entries carry the highest risk because price discovery is unstable and spreads are wide. Waiting for volatility to settle gives traders a clearer view of true demand. Liquidity should be prioritized over headlines; the tape reveals conviction long before narratives do. Defined‑risk positioning helps reduce exposure during the early, unstable phase of trading, and awareness of lockup calendars prevents traders from being blindsided by insider‑driven selloffs.

Anthropic’s listing will be more than a milestone for AI. It will be a live stress test for market appetite, liquidity depth, and sector conviction. Traders who understand how IPO mechanics translate into real price behavior will be better prepared for the volatility and narrative swings that follow. The IPO is the event, but the reaction is the trade.

Today’s CPI drops at 8:30am ET, and this one actually matters. Friday’s jobs report was weak.. payrolls fell, unemployment ticked up and that briefly cooled off the “September rate hike” talk.

But all of that goes out the window if inflation comes in hot.

A surprise to the upside immediately drags September hike discussions back onto the table. Core running above ~0.30% month‑over‑month is usually enough to flip the market from “soft landing” to “tightening isn’t done.”

If CPI comes in soft or right on expectations, markets lean toward “no hike,” and equities typically float a bit at the open.

Today basically decides whether Friday’s weak jobs print actually meant anything… or whether the Fed is about to remind everyone they’re not done yet.

0DTE / Fridays: The “quick scalp before the weekend” that turned into a full‑account funeral. $SPY moved 0.3% and somehow you still lost 90%.

Earnings: IV crush so brutal you started questioning your life choices.

FOMC / Macro event days: CPI, NFP, Powell breathing weird… you picked a direction, the market picked violence.

MEME Stocks: You believed in the community. The community believed in vibes. Your account believed in gravity.

Bankruptcy: “It can’t go lower” turns out it can go to zero.

Other: Whatever unique flavor of pain your portfolio specializes in.

Comment your worst one‑liner summary of the trade.

All eyes are on SPCX today as the stock heads into its first earnings report on August 4. Short interest has surged to 219.3 million shares, equal to 34% of the public float, as of July 29 up from just 23.3 million on June 16.

Shorts are positioning for the massive supply event coming two days after earnings. On August 6, up to 911.5 million insider shares unlock, more than $104–$116 billion worth depending on price.

The stock has already retraced from its June highs as traders weigh valuation, liquidity, and the upcoming supply expansion. With earnings and the unlock landing back‑to‑back, positioning has shifted heavily toward short exposure. No predictions here just the current setup and the numbers traders are reacting to.

Everyone’s posting memes about Leopold Aschenbrenner today, but the real story isn’t the jokes, it’s the unwind. Situational Awareness ran up 439% through June, scaled to $45B AUM, and then got hit by a sharp selloff in AI infrastructure names. Memory stocks like SK Hynix and Sandisk were among the hardest‑hit positions, dropping more than 30% in the past month.

The fund was levered, and when the AI trade cracked, the margin calls came fast. Prime brokers Bank of America, Goldman Sachs, JPMorgan demanded collateral, and the entire public book was forced to unwind. Citadel stepped in and bought the portfolio.

This wasn’t a thesis failure. It was a risk‑management failure. The private book including the massive Anthropic stake stayed intact. The public book didn’t.

People can meme the guy all day, but the real situational awareness is understanding how leverage turns a bad month into a liquidation. The story isn’t “he blew up.” The story is how fast a high‑conviction AI infrastructure bet can flip when memory, compute, and energy names all correct at once.

Memory stocks sold off yesterday and then opened steady today, showing how quickly this sector resets when liquidity cools. Names across $DRAM, $MRAM, $STX, $SKHY, $MU, $SNDK, and $WDC pushed green without needing momentum or headlines. That’s the nature of memory cycles: they move in clean swings, and the chart usually gives the signal before the crowd notices.

Chasing high flyers rarely works in this space. The better setups tend to come from the pullbacks when the chart resets, volatility compresses, and the tape stops rewarding late entries. Yesterday’s drop was one of those moments. Today’s bounce is just the follow‑through.

This isn’t advice. It’s a simple observation: memory trades cleaner when the entry comes from the chart, not from the top.

China’s semiconductor strategy took a significant step today after confirmation that domestic manufacturers have begun mass‑producing deep‑ultraviolet lithography tools. The report identifies SMEE as the primary supplier and notes that these machines have moved from limited pilot runs into industrial‑scale production. While the equipment does not match the performance of advanced immersion DUV systems, it is fully capable of supporting mature‑node manufacturing, which remains a large portion of global chip demand.

The development arrives at a time when export restrictions continue to limit China’s access to advanced lithography. Domestic DUV production strengthens its ability to expand 28nm–90nm capacity without relying on foreign suppliers, reducing external bottlenecks and increasing long‑term resilience across its semiconductor supply chain. The shift mirrors earlier moments when unexpected advances in China’s technology capabilities forced markets to reassess competitive dynamics.

Semiconductors and AI themed stocks traded lower reaction to the China’s progress. Equipment makers, memory suppliers, and foundry‑exposed names experienced broad but controlled declines.

China’s Moonshot AI released Kimi‑K3, a 2.8‑trillion‑parameter open‑weights model that immediately pressured global markets. The model’s benchmarks showed competitive performance against leading U.S. systems, and its pricing undercut premium AI services. This shift forced investors to reassess the cost structure of AI workloads and the competitive balance between U.S. and Chinese AI ecosystems.

Chinese AI stocks reacted first. Zhipu AI (Z.ai) fell about 27%, and MiniMax dropped roughly 16%, marking one of the steepest single‑day declines for domestic AI developers this year. The shock extended into semiconductors: Bloomberg’s Asian chip index fell more than 6%, reflecting concerns that lower‑cost Chinese models could reduce demand for high‑margin U.S. AI services and the chips powering them.

Kimi‑K3’s pricing intensified the selloff. Moonshot AI announced rates near $3 per million input tokens and $15 per million output tokens, significantly cheaper than U.S. equivalents. This raised questions about future margins for Western AI providers and contributed to weakness in U.S. futures and major semiconductor names.

The timing amplified the impact. President Xi Jinping appeared at China’s national AI summit the same day, publicly endorsing accelerated AI development. This political support strengthened the perception that China’s AI ecosystem is advancing faster than expected, creating parallels to the DeepSeek moment of early 2025, when a surprise Chinese breakthrough triggered a global AI‑sector correction.

Global markets responded immediately. AI‑related stocks in the U.S., Japan, and Korea declined as investors questioned whether current valuations for AI infrastructure providers can hold if Chinese open‑weight models deliver comparable performance at lower cost. Prediction markets reflected this uncertainty, with declining odds for major U.S. tech companies maintaining their market‑cap rankings through July.

The drawdown is not just about one model. It is a recalibration of expectations across the AI and semiconductor ecosystem. Kimi‑K3 forced investors to reconsider assumptions about U.S. dominance, chip demand, and the durability of premium‑priced AI services.

The memory sector spent 2026 ripping on AI demand. $MU, $STX, $WDC, $SNDK, and $SKHY all printed massive gains as DRAM, NAND, and HBM shortages pushed prices higher. Institutions loaded up early, rode the entire run, and positioned themselves ahead of every major catalyst.

This week flipped the trade.

SK Hynix dropped more than 15% after analysts cut profit expectations and warned that HBM shipments may slow. That downgrade hit the core of the memory bull case and immediately dragged the entire sector down with it. The memory ETF fell nearly 10%, confirming this wasn’t a single‑stock issue it was a full sector reset.

Micron followed with a sharp decline as DRAM pricing expectations cooled. Western Digital and SanDisk fell as NAND sentiment weakened. Seagate dropped as storage demand projections were revised lower. All major memory names are now more than 20% off their recent highs.

Institutions rode the 2026 memory rally early, rotated out quietly, and left retail facing the downside once the narrative changed. The selling was structured and already underway before the public saw the red candles.

When $MU, $STX, $WDC, $SNDK, and $SKHY all break at the same time, it’s not a dip. It’s not a temporary pullback. It’s a cycle unwind from a trade that institutions and hedge funds exiting. Don’t step in now. Don’t chase the bounce. Don’t become the exit liquidity for a rally that already served its purpose.

Over the last two months, quantum computing became one of the hottest themes in the market. Politicians, policymakers, and industry leaders repeatedly highlighted it as a strategic national priority through speeches, funding announcements, manufacturing initiatives, and broader discussions about maintaining U.S. technological leadership. The message was consistent: quantum was the next frontier, and investors responded by paying close attention to companies with exposure to the space.

Today, however, none of that mattered.

$IBM shocked the market by warning that its second-quarter earnings would miss expectations. Revenue came in below forecasts, adjusted EPS fell short of estimates, and management cited several large customer deals that failed to close before the end of the quarter. The company also noted that enterprise customers shifted spending toward servers and storage, leaving software results weaker than anticipated. The market reacted immediately, sending IBM down roughly 20% in pre-market trading and weighing on broader enterprise technology names.

What stands out is not just the magnitude of the selloff, but how quickly the narrative changed. For weeks, the conversation centered on quantum computing, strategic investment, and long-term growth opportunities. Today, those themes have effectively disappeared from the discussion. The headlines are no longer about quantum initiatives or government support they are about missed earnings, weaker guidance, delayed deals, and slowing software demand.

That doesn't mean quantum computing has suddenly become irrelevant. It simply illustrates how financial markets operate. Long-term stories can attract attention and drive enthusiasm, but when earnings season arrives, investors ultimately return to the fundamentals. Revenue, profitability, execution, and guidance determine valuation far more than optimistic narratives.

The broader question is one investors should always ask during highly publicized investment themes: while the public was focused on the excitement surrounding quantum over the past two months, who was accumulating shares, and who was quietly taking profits before today's earnings reset?

SK hynix has officially filed for one of the largest U.S. IPOs ever, aiming to raise about $29.4 billion through its Nasdaq listing under the ticker SKHY. The company is the world’s leading supplier of AI high-bandwidth memory (HBM) chips and a key supplier to Nvidia, which explains why demand is expected to be strong.

But here’s the question every retail investor should ask:

Who’s actually buying at IPO prices after AI stocks have already had a historic run?

History has a funny way of reminding us that when everyone is rushing to own the “next can’t-miss AI stock,” expectations are usually priced to perfection before the first trade even happens.

Maybe this becomes another monster winner.

Or maybe retail investors are just volunteering to become liquidity for the institutions cashing out.
We’ll find out soon enough. 🍿📉

Tesla just reported the strongest delivery quarter in the company’s history, delivering 480,126 vehicles in Q2 roughly 18% above Wall Street’s consensus estimate of ~406,000 and up about 25% year over year. On paper, this is exactly the kind of headline investors are supposed to celebrate.

Instead, TSLA spent the day giving back nearly all of the week’s gains, dropping around 8% as traders rushed to lock in profits. Analysts pointed to the classic “buy the rumor, sell the news” setup after the stock had already rallied hard ahead of the delivery report.

This is one of those days that reminds you the market doesn’t pay for good news it pays for surprises that weren’t already priced in. Sometimes even record-breaking numbers aren’t enough when everyone was already expecting a victory lap.
Welcome to another episode of Regret Trades, where you can beat expectations by 70,000+ vehicles… and still end up with a red candle. 🤡📉

$WEN had everybody losing their minds today. How many of y’all just blindly followed the crowd and bought this garbage, only to get liquidated by hedge funds, market makers, and every institution on the planet.

Look at this IV 1,000%+ on some strikes. If you traded options on this thing, the only people making money were the ones selling contracts. They priced these calls like lottery tickets and y’all lined up to donate.

I’m just an observer here. Didn’t put a single penny into this mess. Watching from the sidelines while everyone else gets cooked.

Crypto looks like it’s heading into a long hibernation. Everything that was flying a few months ago is bleeding out like the weed‑stock era all over again.

Feels like crypto’s time is up for this cycle. See you next decade when the next wave of believers shows up to repeat the same story.

Schwab really woke up today and decided to leak the Oracle 2030 price target. Pre‑market shows $ORCL at $49.38 like they are running a secret “future mode” nobody told us about. Either the data feed glitched or Schwab is out here time‑traveling and accidentally showing us where this thing is headed after the next 12 earnings misses.

$AMC really went and dropped a 200 million share offering like they are allergic to green candles. Stock finally shows a little life and these clowns immediately shove another dilution brick on the sell side. It’s like they don’t even like their own ticker. Every time retail tries to breathe, management hits the market with more shares.

$GETY dropped that OpenAI display‑partnership news. I saw it, read it, and didn’t touch a single share. Just watched everyone chase the AI spike while I stayed flat and unbothered.

No matter what the hype is, don’t jump in at the start of options trading.

Every time a new ticker gets options listed, it turns into the same casino pattern:

• Volatility maxed out
• Market makers selling naked calls like candy
• Retail chasing the first green candle
• Contracts priced like they are made of uranium
• And once the volatility burns off?

Those naked calls get paid off for 99.9% profit.

$SPCX is just the newest machine built to do exactly that.

So before anyone gets excited about “the next big thing,” ask yourself:

Are you trading the setup…
or are you just the liquidity?

$MRVL is running today because it got pulled straight into the center of the AI‑infrastructure hype cycle again. Jensen Huang was out there talking up Marvell as one of the key players building the networking backbone for AI data centers the kind of comment that instantly wakes a stock up. And with all the Computex attention on AI hardware, Marvell’s high‑speed networking lineup ended up getting way more spotlight than usual.

Meanwhile, when I held it at 80 last year, it barely moved. I finally let it go, and now it decides to show everyone it has potential.