To The Moon

Since forming in April 2026, $SPDR S&P 500 ETF Trust(SPY)$ has bounced off the same trendline four times. On Friday, it held again near $760. Now trading around $767.50, SPY faces two key resistance levels: 🔹 $768.50 — 50-day SMA 🔹 $771.18 — 20-day SMA The first hurdle is a daily close above $768.50, with a move above $770 offering a stronger signal that buyers are regaining control. If SPY can reclaim these levels, a push toward its all-time highs could be back on the table this week. If it fails, the recent bounce may struggle to gain traction. 👀 Earnings could be the next catalyst. $TSLA and $META kick off a key stretch of tech earnings, potentially influencing broader market sentiment. I'm watching the technical levels closely, but I'm only

$S&P 500(.SPX)$ is my daily bread and butter. I trade both naked calls and puts, as well as credit spreads. This morning, I sold out-of-the-money puts and calls and collected 100% of the premium. But collecting premium is the easy part. Knowing what you're risking is what separates a plan from a gamble. Before selling a credit spread, ask yourself these five questions: 1️⃣ What's my thesis? Am I bullish, bearish, or expecting a range-bound market? What evidence supports that view? 2️⃣ Where am I wrong? Identify the price action that would invalidate the trade. If the market moves against your thesis, know when to reassess. 3️⃣ What's my maximum loss? For a standard credit spread, maximum loss is generally the spread width minus the credit rece

A packed earnings week is ahead, with $NFLX, $SPCX, $TSLA, $META, $BE, and $WDC all reporting. Here’s what I’m watching, along with my take on each setup. 👇 🎬 $Netflix(NFLX)$ | Tuesday After the Close 💵 $70.53 | 📉 47% below ATH Estimates: $0.82 EPS | $12.87B revenue Watch: Engagement growth and ad revenue. Viewing hours are expected to rise just 2%. My take: 🟢 Mildly bullish. Expectations are low, leaving room for a positive surprise. 🚀 $SpaceX(SPCX)$ | Tuesday After the Close 💵 $146.03 | 📉 35% below ATH Estimates: $0.14 EPS | $12.89B revenue Watch: AI revenue growth and capital spending, potentially around $19B. My take: 🟢 Bullish, but with a catch. AI could beat expectations, while rising capex remain

September PPI surged 1.3% MoM versus 0.5% expected, while core PPI rose 0.7% against a 0.3% forecast. Yet $SPDR S&P 500 ETF Trust(SPY)$ finished Thursday up 0.28%. The key was what happened to Treasury yields after the data. Three things explain the disconnect: 1️⃣ Yields moved in the opposite direction. The 10-year Treasury yield fell roughly 11 basis points, easing pressure on equity valuations. Hot inflation can be bearish for stocks, but if yields fall instead of rise, the immediate reaction can be different. 2️⃣ The market may be pricing in slower growth, not just higher inflation. Retail sales were stronger overall, but the control group missed expectations. Investors may be weighing the risk that tighter financial conditions weaken growt

A boring market can create some interesting opportunities. Slow, sideways $S&P 500(.SPX)$ action can frustrate traders chasing calls and puts. But for the right strategy, lack of movement can be an advantage. Here’s why 👇 🦋 BUTTERFLIES When price stays near your butterfly’s center strike, time decay can work in your favor as expiration approaches. You’re targeting where price settles—not betting on a massive breakout. 💰 CREDIT SPREADS Selling out-of-the-money call spreads above resistance or put spreads below support lets you collect premium. If price stays safely away from your short strike, time decay can reduce the spread’s value, potentially allowing you to close it for a profit. The key difference: 🦋 Butterflies want price near the center

BIG WEEK for $SPDR S&P 500 ETF Trust(SPY)$ ! 🔥 Two major inflation catalysts are coming: Wednesday: CPI Thursday: PPI I’m looking for softer inflation readings, which could strengthen expectations for a Fed rate cut on October 28. If both CPI and PPI come in cooler than expected, markets could reprice rate-cut expectations quickly and fuel a massive gamma squeeze. 🎯 Upside target: $SPY $785 The setup is there, but the inflation data needs to cooperate. Hotter-than-expected numbers could flip the script just as quickly. Watch the data. Watch the reaction. If inflation comes in soft and momentum builds, $785 could come into play. 🚀 Markets are always moving - and sometimes, the best move is knowing what works for you. With Treasury yields, oil pr

Everyone wants to find the next $Palantir Technologies Inc.(PLTR)$ . Few talk about how to hold a winner long enough for the thesis to play out. I called long-term LEAPS near $105. My $200 stock target just hit, with gains now up $110,000. That’s the power of LEAPS. More time for a long-term thesis to play out without having to nail next week’s move. 🔎 5 names worth researching for a similar approach $Snowflake(SNOW)$ — Data + AI $ServiceNow(NOW)$ — AI-powered workflows $SpaceX(SPCX)$ — Space launch + Starlink satellite internet $Datadog(DDOG)$ — Cloud + AI monitoring

$Alphabet(GOOGL)$ We posted the level and the contracts before the headlines hit. As long as $340 holds as support, the bullish setup remains intact. The focus now is whether buyers can defend this level and keep the momentum going. If support holds, adding exposure on strength or controlled pullbacks could keep the longer-term opportunity in play. 📌 October 16 $350 calls — Short-term upside exposure if momentum continues. 📌 March 2027 $370/$400 bull call spread — A defined-risk way to position for a move higher over the coming months. 📌 January 2028 $450 calls — LEAPS — Longer-term exposure to the thesis, with more time for the move to develop. The strategy spans three time horizons, from a near-term catalyst trade to a longer-term bet on contin

$S&P 500(.SPX)$ $SPDR S&P 500 ETF Trust(SPY)$ How $1,000 Could Scale to $100K a Month 📈 The idea is simple: start with one credit spread, then gradually increase the number of spreads as your capital grows. Assume each spread requires $1,000 in margin and generates $100 in profit. Week 1–2 1 spread per day → $100/day → roughly $500/week After two weeks, you’ve built up roughly $1,000 in profits, bringing the account to about $2,000. Week 3 2 spreads/day → $200/day → $1,000/week Week 4 3 spreads/day → $300/day → $1,500/week Week 5 4 spreads/day → $400/day → $2,000/week Week 6 5 spreads/day → $500/day → $2,500/week …and so on. The idea is to add roughly one additional spread each week as the account

$99,171 on the day. $2.8M in open profit. The biggest change in my trading wasn’t a new indicator or a better entry. It was learning to think in quarters instead of watching every candle. I still day trade. But I also build positions that give strong companies time to grow. 📈 Start With Earnings Growth I go on Nasdaq and look for companies with strong EPS growth. What are they earning? How fast are those earnings growing? And is that growth continuing into the next quarter? I want a reason to own the company that goes beyond a chart looking good. Strong earnings growth gets my attention. Then price and risk determine whether I take the trade. That’s why I’m long: $Advanced Micro Devices(AMD)$ $Micron Technology(