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var CN = 'menthorq_utm_params';
var LK = 'menthorq_utm_params';
var UK = ['utm_source','utm_medium','utm_campaign','utm_term','utm_content','utm_id'];
var CK = ['gclid','fbclid','msclkid','ttclid','twclid'];
var CD = 30;
var AK = UK.concat(CK);function sC(n,v,d){var e=new Date(Date.now()+d*864e5).toUTCString();var c=n+'='+encodeURIComponent(v)+';expires='+e+';path=/;SameSite=Lax';if(location.protocol==='https:')c+=';Secure';document.cookie=c;}
function gC(n){var m=document.cookie.match(new RegExp('(?:^|; )'+n+'=([^;]*)'));return m?decodeURIComponent(m[1]):'';}
function sv(d){var j=JSON.stringify(d);sC(CN,j,CD);try{localStorage.setItem(LK,j);}catch(e){}}
function hk(o){if(!o)return false;for(var i=0;i<AK.length;i++)if(o[AK[i]])return true;return false;}
function nm(d){if(!d)return null;if(d.first)return d;if(hk(d))return{first:d,last:d};return null;}
function ld(){var r=gC(CN);if(r){try{var n=nm(JSON.parse(r));if(n)return n;}catch(e){}}try{var s=localStorage.getItem(LK);if(s){var n=nm(JSON.parse(s));if(n)return n;}}catch(e){}return null;}var ps = new URLSearchParams(window.location.search);
var fd = {}, has = false;
for (var i = 0; i < AK.length; i++) {
var v = ps.get(AK[i]);
if (v) { fd[AK[i]] = v; has = true; }
}if (has) {
fd.captured_at = new Date().toISOString();
var ex = ld();
sv(ex ? {first: ex.first, last: fd} : {first: fd, last: fd});
return;
}var raw = gC(CN);
if (raw) {
try {
var p = JSON.parse(raw);
if (!p.first && hk(p)) sv({first: p, last: p});
} catch(e) {}
return;
}try {
var s = localStorage.getItem(LK);
if (s) { var n = nm(JSON.parse(s)); if (n) sv(n); }
} catch(e) {}
})();
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
Identifying Key Reaction Zones for Strategic Trading
Takes Gamma and Open Interest for calls and puts to provide the Net Gamma Exposure by strike. The strikes with highest positive or negative gamma exposure can become important reaction zones. This can help traders make data driven decision and add an additional level of protection.
How can you benefit from this quantitative model?
Market Positioning
By analyzing Net Gamma Exposure, traders gain valuable insights into the positioning and strategies of market makers.
Reaction Zones
Net GEX helps pinpoint key strike levels where market makers have significant delta exposure.
Key Levels
Net GEX highlights strike prices where market makers have substantial gamma exposure. These levels often act as significant support or resistance points, helping traders identify critical price levels for strategic entry and exit points.
Trading Strategies
Net GEX can help identify optimal strikes for placing option positions for your volatility or directional trades.
Understanding Market Positioning
Net GEX, or Net Gamma Exposure, measures the overall gamma exposure in the market, aggregated from all options on a specific asset. It provides insights into the potential market impact of options positions. Positive Net GEX suggests that market makers will likely dampen volatility by hedging, while Negative Net GEX indicates that market makers may amplify volatility through their hedging activities.
Market Liquidity and Volatility
Strikes with the highest positive or negative gamma exposure can become important reaction zones, helping traders make data-driven decisions and adding an additional layer of protection.
Net GEX helps predict whether market volatility will increase or decrease based on market maker hedging activities.
Early Warning
Acts as an early warning system for potential market shifts, allowing traders to anticipate and react to changes proactively.
Transform your trading Strategy
Let us simplify the market and provide you the tools to make actionable decisions.
