(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
In this essential lesson, you’ll learn when to use end of day (EOD) versus intraday data and understand the key differences between these two approaches. This knowledge will help you choose the right data type for your trading strategy and time horizon.
We provide intraday Gamma models on stocks, ETFs, and indices that update 14 times per day, approximately every 30 minutes. These frequent updates are crucial for active traders who need real-time market insights throughout the trading session.
The intraday levels are particularly valuable because they help predict support and resistance or breakout levels. Unlike traditional price-based indicators, these models track flow changes rather than just historical price movements, giving you a forward-looking edge in the market.
A practical example from the lesson demonstrates how intraday models can be used to track morning market activity, showing real-time shifts in market dynamics. We also highlight the zero DTE option where gamma is the highest, which is particularly important for understanding immediate market pressure and potential volatility.
To get started with these tools, you’ll access the platform directly where you can explore live examples and see how intraday versus EOD data applies to your specific trading needs.
Video Chapters
00:16 – Introduction to intraday vs EOD data
00:29 – Intraday Gamma models explained
00:52 – Zero DTE option and platform demonstration
Key Takeaways
Intraday Gamma models update 14 times per day (every 30 minutes) for stocks, ETFs, and indices
Intraday levels help predict support and resistance or breakout levels by tracking flow changes rather than price
The zero DTE option shows where gamma is highest for immediate market pressure analysis
Choose intraday data for active trading and EOD for longer-term strategies
Video Transcription
[00:00:16.24] - Speaker 1 All right. Another question that is very, very important. When should I use end of day versus intraday and what is better? All right. So first, let's go and look at our intraday level and why we developed.
[00:00:29.24] - Speaker 1 So we provide intraday Gamma models on stocks, ETFs and indices. They update 14 times per day, so every almost every 30 minutes. And they are very, very important because they can help predict support and resistance or breakout levels. And today, I'm going to show an example this morning. They can help us track what the flow changes and not what the price has been.
[00:00:52.06] - Speaker 1 And, of course, we also have our zero DT option where gamma is the highest. Right. So that's enough for the slide, guys. So let's go into the platform, and then we're going to go into some example.
var menthorq_gtm = {"system":{"ajax_url":"https:\/\/menthorq.com\/wp-admin\/admin-ajax.php","nonce":"040b0b2413","site_url":"https:\/\/menthorq.com","home_url":"https:\/\/menthorq.com","timestamp":1776323834,"environment":"production"},"debug":{"enabled":true,"environment":"production"},"user":[],"container_id":"GTM-599ZCR89"};