(function(){
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
Market Analysis with the Q-Score: A Quantitative Approach
The Q-Score is a powerful, data-driven metric that evaluates assets based on momentum, seasonality, volatility, and options activity. Learn how traders can leverage this structured scoring system to enhance decision-making, identify opportunities, and refine their trading strategies.
How can you benefit from this quantitative model?
Data-Driven Decision Making
The Q-Score provides objective, quantitative insights, helping traders make informed decisions rather than relying on emotions or speculation.
Multi-Factor Market Analysis
By integrating momentum, seasonality, volatility, and options activity, the Q-Score offers a comprehensive view of an asset’s potential performance.
Trade Timing
Traders can use the Q-Score to refine entry and exit points, aligning their strategies with prevailing market trends and historical patterns.
Adaptability Across Strategies
Whether trading stocks, options, or futures, the Q-Score helps traders tailor their approach based on volatility conditions, trend strength, and market sentiment.
Momentum Score
The Q-Score Momentum Model reflects the underlying trend strength of an asset. Our proprietary quant models analyze price action and technical indicators to determine whether an asset exhibits bullish or bearish momentum.
Seasonality Score
The Q-Score Seasonality Model assesses the historical performance of an asset over a specific time frame. Using 20 years of historical data, our model examines the price behavior of an asset over the next five days.
Volatility Score
The Q-Score Volatility Model measures the magnitude of price fluctuations of an asset. Our model assesses realized volatility to determine the likelihood of price swings.
Option Score
The Q-Score Options Model ranks an asset based on activity in the options market, providing insight into trader sentiment and expected price direction.