To The Moon

In the noise of daily market fluctuations, traders often chase price action blindly, reacting to headlines long after institutional algorithms have already made their moves. To navigate this complexity, structured quantitative analysis provides a distinct edge. By utilizing a multi-timeframe framework of monthly, weekly, and daily levels, you can map out the market’s roadmap well before the opening bell. These levels are not arbitrary lines; they anticipate where institutional algorithms are likely to react. These levels are waypoints, to successfully trade them, you must assess real-time price action alongside overbought and oversold conditions. Here is how to structure, sequence, and execute this multi-timeframe approach for maximum clarity. Understanding the Hierarchy of Timeframes When

Last night in the mid-week update, I mentioned how likely a bounce was for today given oversold conditions in the $S&P 500(.SPX)$ $Invesco QQQ(QQQ)$ $VanEck Semiconductor ETF(SMH)$. I also noted how oversold $Amazon.com(AMZN)$ was to guard against further declines, clarifying that technicals do not anticipate earnings reactions. In a neutral way, I highlighted that $Apple(AAPL)$ was overbought and outlined the technical reasons why a decline was likely. Both of those expectations played out today 🎯. Following its earnings release, $Meta P

U.S. stocks closed sharply lower, suffering a steep broad-market sell-off catalyzed by a combination of hawkish Federal Reserve division, mounting inflation fears, and geopolitical escalation. The Federal Reserve voted 9–3 to maintain benchmark interest rates steady at 3.5% to 3.75%, marking an ongoing pause . However, the decision rattled investors as three regional Fed presidents dissented in favor of an immediate quarter-point rate hike due to sticky inflation. This divided stance, coupled with Warsh’s commentary highlighting persistent price pressures, triggered a strong sell-off as the price of the $S&P 500(.SPX)$ reversed from 7,452, our key central monthly level that has defined momentum and volatility over recent days. Compounding t

$VanEck Semiconductor ETF(SMH)$ : Be careful being too bearish. My daily market update provides the key levels for tomorrow on $S&P 500(.SPX)$ $Invesco QQQ(QQQ)$ , and $SMH. Also an update of my high probability setups. My bullish targets for $Apple(AAPL)$ $Netflix(NFLX)$ $Wal-Mart(WMT)$ $Costco(COST)$ have been reached as my bearish ones for $SMH and $Advanced Micro Devices(AMD)$ The vanishing rally was expected for $QQQ as posted during the weekend,

Investors continued pulling capital away from AI-driven semiconductor darlings and rotated into consumer, healthcare, and industrial sectors. The semiconductor rout worsened as the Semiconductor ETF $VanEck Semiconductor ETF(SMH)$ tumbled for a fourth straight day, with individual memory leaders $Advanced Micro Devices(AMD)$ and $Micron Technology(MU)$ each plunging over 8%. Meanwhile, robust Q2 results fueled a massive surge in the Dow. Paint maker $Sherwin-Williams(SHW)$ jumped over 8%, $Coca-Cola(KO)$ rose 5% after raising its full-year guidance, and

The Q2 2026 earnings season has revealed a divergence between the broader market and the highly scrutinized mega-cap technology space, while Wall Street banks and key defensive sectors like healthcare have delivered strong results. In the tech sector, sharp post-earnings stock declines for mega-caps like $Alphabet(GOOG)$ $Tesla Motors(TSLA)$ were generally not caused by poor revenue or core business growth. Instead, a clear pattern of “AI cash burn anxiety” emerged. Both Alphabet and Tesla handily beat top-line expectations, with Google Cloud revenues surging and Tesla delivering solid vehicle metrics. However, Alphabet’s massive infrastructure spending pushed its quarterly free cash flow into a negative

It was a volatile and difficult week on Wall Street, as major U.S. indexes finished lower across the board. The market logged its first back-to-back weekly losses since March, primarily dragged down by anxiety over massive corporate spending on artificial intelligence (AI), surging energy costs, and new trade policies. Key Market Drivers This Week Big Tech AI Spending Jitters: Q2 earnings sparked investor concern as $Alphabet(GOOG)$ dropped -7.8% for the week following raised capital expenditure guidance for AI data centers, while $Tesla Motors(TSLA)$ plummeted -17.8% amid negative free cash flow driven by massive investments in AI and robotics. Geopolitical Escalation & Energy Volatility: Oil (CL=F <

Tech sector shares faced heavy downward pressure during the session, heavily influenced by $Alphabet(GOOG)$ , which drove capital expenditures above analyst expectations and posted negative cash flow for the first time, alongside $Tesla Motors(TSLA)$ , which tumbled following its earnings report due to margin contraction and softer-than-expected delivery metrics. Furthermore, premarket gains in $ServiceNow(NOW)$ completely evaporated during the regular session, weighing heavily on the broader software industry's performance. However, the definitive catalyst driving the market lower extended beyond tech alone. By 8:29 AM, futures were already sliding steadily, but

There is a divergence forming in the market that deserves serious attention, and it is not showing up in the headline index number. The $S&P 500(.SPX)$ is holding near its highs, my anticipated annual target of 7,638 set the expected rejection in June with the all time highs at 7,620 (and posted that day that the target could be considered reached), price is compressing with a series of lower highs and higher lows. On the surface, everything looks constructive. But when I look beneath the index, at the groups that built this rally and carried it for two and a half years, the picture is more complex. The Magnificent Seven, $Apple(AAPL)$ $Microsoft(MSFT)$

The U.S. stock indexes began the week with an optimistic morning rally, fueled by hopes for geopolitical de-escalation in the Middle East following reports that Iran might pursue a diplomatic path to ease tensions. This early momentum was further bolstered by renewed investor appetite for AI and semiconductor stocks, as the market began to digest the recent “Kimi shock.” While the initial release of Moonshot AI’s Kimi K3 model last week rattled investors with fears of a “cost-efficient” Chinese competitor, the narrative shifted this morning. Reports that Moonshot AI had to pause new consumer subscriptions due to a lack of sufficient compute capacity served as a potent reminder that, regardless of software efficiency, the physical demand for high-end hardware remains a massive, unyielding b