(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":["/wp-json/openid-connect/userinfo","wp-admin","wp-login.php"]};
//# sourceURL=breeze-prefetch-js-extra
Every option trade starts with one simple truth: someone buys, and someone sells.
But what matters most is who initiated the trade and how dealers are forced to respond. This sets the tone for all future hedging activity.
Let’s walk through the four core scenarios using calls and puts:
Dealer Hedging Mechanics Unpacked 11
Dealer Positioning at Inception
Dealers always take the opposite side of the customer trade. So if a trader buys a call, the dealer is short a call — and that has two major implications:
The dealer inherits the opposite delta exposure
The dealer also takes on the opposite gamma (convexity risk)
Dealer Hedging Mechanics Unpacked 12
So even at the moment of trade, dealers are already adjusting their stock (underlying) position to hedge. This is the start of the hedging loop.
Dealer Hedging Before Expiry: Delta-Gamma Rebalancing
As the option trade progresses toward expiration, price and volatility change. These shifts modify the dealer’s delta exposure, requiring dynamic hedging.
Understanding Gamma
Gamma measures how fast delta changes as the stock moves.
Positive Gamma: Dealer delta becomes more positive as the stock rises, and more negative as it falls. This stabilizes markets.
Negative Gamma: Dealer delta flips the other way — amplifying moves.
Let’s look at how delta hedging evolves as expiry approaches, depending on whether the options are in the money (ITM) or out of the money (OTM):
Dealer Hedging Mechanics Unpacked 13
This dynamic behavior explains why markets often pin to key strikes near OPEX (options expiration) — dealers are constantly hedging into and out of those levels.
After Expiration: Dealer Unwinds and Flow Reversal
Once expiration hits, things change dramatically.
Options disappear.
Dealer gamma drops.
Hedging flows reverse as delta exposure vanishes.
Let’s look at what dealers do after expiry, when they no longer need to hold hedges.
So if dealers had built up long stock hedges, they will now need to sell them off. This is why post-OPEX selloffs or rallies can occur — not due to new fundamentals, but from dealer inventory flows.
Visualizing Dealer Hedging as a Feedback Loop
To make this clearer, imagine a basic Cartesian graph where:
X-axis is Stock Price
Y-axis is Dealer Hedge Amount
You can sketch out gamma zones as peaks and troughs where hedging is heaviest. For example:
Dealer Gamma Cliffs: Massive open interest can sit near key strikes (e.g., SPX 5000), creating high gamma zones.
In this environment:
Dealer gamma positioning matters more
Dealer delta flows move faster
Expiration can create sharp volatility spikes or dead calm chop
This is where MenthorQ’s Net GEX tool becomes essential.
Using Net GEX and Strike Tools on MenthorQ
Net GEX = Net Gamma Exposure.
This shows you how much gamma is sitting at each strike, and whether it’s dealer long or short.
Key insights:
High positive gamma at a strike → Dealers are long gamma → They hedge against moves → Expect chop
High negative gamma → Dealers short gamma → Hedge in direction of move → Expect volatility
How to use it:
Go to MenthorQ’s Net GEX tool
Scan where large gamma positions cluster
Identify key strikes (e.g., 4950, 5000, 5050 on SPX)
Watch for gamma flips — if the largest gamma drops off after expiry, flows reverse
Bonus: The Gamma Flip Level (where net gamma crosses from positive to negative) often acts like a volatility switch. Traders use it to determine:
When to fade moves (in positive gamma)
When to chase moves (in negative gamma)
Real-World Example: SPX Into December OPEX
Let’s say:
SPX trades at 5000
Net GEX peaks at 5000 strike
Gamma is high and positive
Expect:
Dealer flows to dampen volatility
Market to pin to 5000
Chop until expiration
But after OPEX:
Gamma drops
Dealer hedges unwind
If new flows push SPX to 5050 and gamma flips negative, expect: → Increased volatility → Fast directional moves → Dealer flows amplify price instead of suppressing
Final Thoughts: Turn Dealer Flow Into Edge
Understanding dealer mechanics gives you an edge most retail traders don’t have.
You now know:
How trades shape dealer hedging
How gamma and delta change across time
What happens at expiration and why flows reverse
Why December is not like other months
How tools like MenthorQ Net GEX help you anticipate volatility
When you add this layer to your options trading, you’re no longer reacting — you’re predicting the flow.
Summary Checklist for Traders
Here’s a practical checklist you can revisit every OPEX week:
What are customers buying/selling?
Are dealers long or short gamma?
Where is Net GEX clustering?
How close are we to expiration?
Is the strike ITM or OTM?
What happens post-expiry? Are hedges unwinding?
Is liquidity thin (e.g., December)?
Join us today
Access daily Market Research and our interactive Dashboard. Make better trading decisions.