The February 23 options flow screener showed sustained sweep‑side buying across major tech and metals names, reflecting consistent institutional accumulation over the last two sessions.
$NVDA led with a 62.97 percent increase in trade activity, reaching 11 thousand total sweeps — the strongest continuation signal among large‑cap semiconductors. $SLV followed with a 401 percent jump, marking robust momentum in metals exposure. $AMZN and $MU also posted heavy inflows, up 168 percent and 285 percent respectively, extending the broader rotation back into growth and AI‑linked stocks.
$AAPL and $AMD advanced 114 and 183 percent, showing broad tech participation, while $GLD rose 208 percent as traders maintained diversified commodity positioning. $GOOGL and $GOOG recorded strong joint increases above 140 percent, suggesting methodical institutional follow‑through in communication services. $SMH stood out with a 359 percent surge in activity, confirming steady sector‑wide semiconductor momentum.
The chart for $NVDA illustrated a pattern of tightening price action followed by renewed upward strength, in line with the rising sweep volume trend. Overall, the data reflected balanced yet bullish flow, emphasizing continued confidence in large‑cap tech and metals heading into late February.
The options flow for February 23, 2026, showed mixed but deliberate institutional positioning across metals, semiconductors, and large‑cap tech, with strong premium rotation and repeat activity in a few key tickers.
$MCHP dominated total activity with multiple sell sweeps around the $37.50–$47.50 range expiring March 20, 2026, each valued between $4.3 million and $15 million. The clustered flow indicated systematic premium taking rather than speculative unwinding.
$SLV saw recurring two‑way trades, with $11 million and $6.2 million buy‑side prints at $75 and $110 calls, offset by smaller $4.4 million and $4.3 million sell transactions, reflecting controlled positioning in the metals space. $GLD posted an $8.7 million split call buy at $430 for March 2026, reinforcing the uptick in precious‑metal exposure.
$TSLA attracted back‑to‑back split call buys at $300 for March and February 2026 expiry, each near $5.4 million, showing consistent appetite for upside tech exposure.
$META added two late‑session sweeps on the $250 strike for May and December 2026 expirations, each valuing around $7.6 and $4.1 million, contributing to steady long‑side flow.
Smaller but notable prints included $TTSM, $WDC, and $PSX — all around $4–5 million — signaling diversified positioning across chip and energy names.
The February 23, 2026 earnings lineup features a diverse set of companies across energy, industrials, and consumer staples, supported by one major macro event.
Pre‑market reports are led by $D (Dominion Energy, Inc.) with a $55 billion market cap and a $0.64 EPS estimate, offering a key read on utilities performance. $EMA (Emera Incorporated) also reports early, valued at $15 billion with $0.43 EPS expected, alongside $DPZ (Domino’s Pizza Inc.) posting $5.36 EPS on $13 billion market cap, providing consumer‑demand perspective.
After hours, energy names dominate. $FANG (Diamondback Energy) leads with $50 billion market cap and $1.88 EPS projection. $VNOM (Viper Energy) adds $16 billion and $0.27 EPS, while $OVV (Ovintiv Inc.) is expected to print $0.98 EPS on $12 billion. $OKE (ONEOK, Inc.) reports $1.50 EPS on $54 billion, rounding out the energy heavyweights.
Industrial and technology names include $BWXT (BWX Technologies) with $0.91 EPS on $19 billion market cap and $KEYS (Keysight Technologies) projected at $1.73 EPS on $41 billion. $ERIE (Erie Indemnity Co.) closes the day with $1.59 EPS on $12 billion.
Economic focus falls on the FOMC Member Waller speech at 07:00, offering potential macro insight during a session led by corporate earnings from energy and utilities giants.
Expectancy tells you if you have an edge.
Overlays tell you when you are wasting it. 📈
This is the power of multi-variable charting on TradesViz.
Let's look at Expectancy vs. Duration Range:
• The highest volume: 648 trades held for 2 to 7 days.
• The result: A negative expectancy of -$211 per trade.
You are working the hardest exactly where you are losing the most.
Let the overlays tell you exactly when to focus, and when to step away. ⚡️
The market is the most expensive teacher in the world. Stop paying its tuition. 💸
"I learn best by doing" is a great way to blow up your live account.
If you are testing a new strategy with real capital, you aren't trading-you are paying for an education.
The Advanced Trading Simulator provides a "risk-free space for traders to refine strategies" without bleeding their net worth.
Use the integrated order panel to execute Market, Limit, and Stop orders as the candles print.
Test your nerves, manage your simulated risk, and "improve decision-making with advanced analytics" before the opening bell even rings.
Prove the edge in the lab before you take it to the street.
Ego tells you to trade everything. The data tells you to specialize. 🛑
You probably think you can trade a $5 penny stock the exact same way you trade a $300 mega-cap. You can't.
The Trade Analysis dashboard strips away your assumptions and breaks down your actual edge by price tier.
Look at the insights on the right. The engine explicitly warns this trader that their least profitable price range is 200 - 499.99, accounting for 50% of their losses (-$278.50).
Yet, their most profitable zone is the 50 - 99.99 range, netting a clean $1,059.07.
Stop fighting the math. Find your optimal price bracket and stay in your lane.
Stop wasting screen real estate on charts you don't even look at. 🖥️
Your default dashboard is probably a bloated mess of widgets that don't actually help you find your edge.
The Dashboard Templates feature lets you instantly deploy institutional-grade layouts built for specific audits.
100% fully customizable for your own possibilities!
Build layouts from scratch, or use preloaded template. Deploy the infrastructure you actually need for the problem you are trying to solve.
If your journal cannot simulate trades, record your practice sessions, and run full analytics on them, you are paying for an outdated spreadsheet. 📉
TradesViz has a built-in market replay engine that goes above and beyond what any other "journal" is capable of offering.
You get the reps in without the risk. And this is just one part of the TradesViz platform 👇
Spend this weekend studying this one chart in TradesViz.
It is your Best Exit PnL vs Actual PnL, plotted by trade duration.
This isn't just a bar chart - it's a map of the money you left on the table. It will show you the exact path to the trading edge you are looking for...
But only if you know how to ask the data the right questions. 🕵️♂️📈
"I followed my plan today." Prove it. 🪞
You can lie to Twitter about your discipline, but you can't lie to the algorithm.
Goals takes your vague promises and translates them into unforgiving, binary data. You either hit the metric, or you didn't.
By setting customized daily parameters—like "Total per-day R-value > 2" or "Total per-day Ticks > 20"—you build a measurable grid of your daily behavior.
Hold yourself accountable. Measure the mechanics.
