$SPDR S&P 500 ETF Trust(SPY)$ Closed the day in the green on my 0DTE challenge. Made two trades, each with a position size of $650. Current account balance is $1,529.74, starting from $1,000. The trades were puts at 746.5 and later near 747.2. I've been testing a signal indicator I built over the past few weeks, and the results so far look promising. After two wins, the key is staying disciplined and avoiding overtrading. It's about waiting for quality setups, not forcing action. Watch the setup, wait for confirmation.
There are September rate hikes, war, and shipping blockages on top of more blockages. It feels like $SPDR S&P 500 ETF Trust(SPY)$ could be back to 725 before long.
$Micron Technology(MU)$ The Nasdaq is up just a touch, 0.1%, but the significance is that there's no more selling. Micron could hit $1250 this week, with earnings from Tesla and Google on Thursday.
$Micron Technology(MU)$ Let's consider the most extreme bear case for a moment. Suppose the AI market collapses, despite what IBM, ASML, and TSMC are saying. Suppose Micron's demand falls back to bear market levels, and it only earns $10 per share. Give that a 20x multiple for a bear case. Add to that, Micron has visibility on earnings through the end of 2027, and let's assume zero new orders—that could be about $300 per share in profit. Include take-or-pay contracts worth another $100 per share, and it amounts to a $600 share price in this worst-of-the-worst scenario, ignoring all AI spending reports, shortage reports, and reports of software company prices crashing. Let's also assign no value to Chinese compani
$Micron Technology(MU)$ The AI sector seems unusually cheap right now. Profits are soaring, yet stock prices are stagnant, which feels like a reverse bubble compared to the typical market frenzy. The issue isn't the technical charts; it's driven by public sentiment. The dominant emotion isn't hype, but fear and anger over potential job displacement, making this one of the most psychologically resisted technological shifts. This rejection acts as an anchor, artificially holding down valuations. It's creating a market anomaly where earnings growth is outpacing price appreciation, pushing forward P/Es into the low teens. Once this widespread fear subsides, it's worth considering how high the sector could potentially
$Micron Technology(MU)$ The dot-com bubble in 2000 had companies with no profits and no real business, trading at P/E ratios of 100 or more. Today's AI market is built on real technology with actual earnings, yet it trades at a forward P/E of just 5.48. Back then, dreams were priced like gold. Now, reality seems priced like trash.