(function(){
var COOKIE_NAME = 'menthorq_utm_params';
var LS_KEY = 'menthorq_utm_params';
var UTM_KEYS = ['utm_source','utm_medium','utm_campaign','utm_term','utm_content','utm_id'];
var CLICK_ID_KEYS = ['gclid','fbclid','msclkid','ttclid'];
var COOKIE_DAYS = 30;// Read UTM parameters and click IDs from current URL
var params = new URLSearchParams(window.location.search);
var trackingData = {};
var hasData = false;
var allKeys = UTM_KEYS.concat(CLICK_ID_KEYS);
for (var i = 0; i < allKeys.length; i++) {
var val = params.get(allKeys[i]);
if (val) {
trackingData[allKeys[i]] = val;
hasData = true;
}
}if (hasData) {
// Fresh tracking data found in URL — store it (overwrites previous attribution)
trackingData.captured_at = new Date().toISOString();
setCookie(COOKIE_NAME, JSON.stringify(trackingData), COOKIE_DAYS);
try { localStorage.setItem(LS_KEY, JSON.stringify(trackingData)); } catch(e) {}
return;
}// No tracking params in URL — check if cookie exists
if (getCookie(COOKIE_NAME)) return;// Cookie is missing (expired or first visit) — try to restore from localStorage
try {
var stored = localStorage.getItem(LS_KEY);
if (stored) {
var parsed = JSON.parse(stored);
if (parsed && (parsed.utm_source || parsed.gclid || parsed.fbclid || parsed.msclkid || parsed.ttclid)) {
setCookie(COOKIE_NAME, stored, COOKIE_DAYS);
}
}
} catch(e) {}// Helper: set cookie
function setCookie(name, value, days) {
var expires = new Date(Date.now() + days * 864e5).toUTCString();
var cookie = name + '=' + encodeURIComponent(value) + ';expires=' + expires + ';path=/;SameSite=Lax';
if (location.protocol === 'https:') cookie += ';Secure';
document.cookie = cookie;
}// Helper: get cookie value (returns empty string if not found)
function getCookie(name) {
var match = document.cookie.match(new RegExp('(?:^|; )' + name + '=([^;]*)'));
return match ? decodeURIComponent(match[1]) : '';
}
})();
var breeze_prefetch = {"local_url":"https://menthorq.com","ignore_remote_prefetch":"1","ignore_list":["/account/","/login/","/thank-you/","/wp-json/openid-connect/userinfo","wp-admin","wp-login.php"]};
//# sourceURL=breeze-prefetch-js-extra
An NVDA Case Study In Positioning Date: February 23, 2026
Skew diverges even as a stock rallies five percent in a week. The structure looks clean—higher highs, strong closes, momentum building into a major event. On the chart alone, the move appears healthy.
But price only shows what has already happened. It doesn’t reveal whether the market truly believes in the move. For that, you have to look at skew.
This article uses NVIDIA as a case study, not as a prediction, but as a framework. The goal is to show how skew behavior can either confirm or quietly question a rally, and how traders can apply this lens to any stock at any time.
Price Versus Protection
Skew refers to the relative pricing of out-of-the-money puts versus calls. When downside puts trade at significantly higher implied volatility than calls, the skew is steep. When call volatility rises relative to puts, skew flattens. Skew is essentially the cost of insurance.
When a stock rallies and skew compresses, it often means traders are paying up for upside exposure. Calls are getting bid. Positioning aligns with the direction of price.
When a stock rallies and skew steepens, something else is happening. The stock is moving higher, but traders are simultaneously paying more for downside protection. Puts are being bid even as price prints green candles. That divergence is worth paying attention to.
How to Trade the Skew:
NVDA As A Case Study
As of February 23, 2026, NVIDIA had rallied into earnings. The chart looked constructive. Momentum traders had reasons to feel confident. But the skew profile told a more nuanced story. Put skew remained elevated near recent highs. The options market was pricing downside protection aggressively even as the stock pushed upward.
This does not mean the rally was destined to fail. Skew is not a directional crystal ball.
What it does mean is that large participants were not complacent. They were willing to spend meaningful premium to hedge downside risk into strength. That is different from a rally where skew compresses and upside demand dominates.
When Price Rallies But Skew Diverges 5
Confirmation Versus Fragility
Two rallies can look identical on a price chart. Both show strength. Both break levels. But if one rally occurs alongside flattening skew, and the other alongside steepening skew, the positioning context differs significantly.
Flattening skew suggests the market is comfortable leaning into the upside. Upside convexity is being demanded. Steepening skew during a rally suggests caution. Traders are advancing, but they are hedging. The move may continue, but it is not universally trusted.
In the NVDA case study, the stock’s advance into earnings while downside protection remained expensive created a tension between price momentum and volatility positioning.
Why Skew Matters
Retail traders often focus on price and volume alone. Those metrics are visible and widely discussed.
Skew lives in the volatility surface. It requires looking at implied volatility by strike and comparing puts and calls. That additional layer reveals how capital is positioning, not just how price is moving. Price can rise because speculative flows are chasing upside. Price can also rise while institutions quietly accumulate protection. Those environments feel similar on the surface but carry different risk profiles beneath. Skew helps identify that difference.
How To Apply This Framework
The takeaway is not to sell every rally with steepening skew. Nor is it to buy every rally with flattening skew. Instead, use skew as context.
When price and skew move in the same direction, positioning and momentum are aligned. When they diverge, ask why. Is there event risk? Is implied volatility elevated for a reason? Are participants hedging into strength?
In the NVDA example from February 23, 2026, the rally into earnings alongside elevated put skew suggested that the options market was not fully relaxed about the move. That information does not dictate a trade, but it changes how you interpret the rally.
Conclusion
Price shows you the result. Skew shows you the insurance market. A rally with flattening skew often reflects confidence and upside sponsorship. A rally with steepening skew reflects caution beneath the surface.
Using NVIDIA as an evergreen case study, the key lesson is simple: do not evaluate price in isolation. The volatility surface often reveals positioning dynamics that the chart alone cannot.
Before committing to a narrative about strength or weakness, it is worth asking whether the options market agrees.
