How to use MenthorQ Models

Q-Score Screeners

In this lesson, you’ll discover how to leverage our powerful new Q-Score Screeners to quickly identify high-probability trading opportunities across hundreds of assets. These screeners help you filter stocks, ETFs, and indices based on four critical factors that we track in our rating system.

Our Q-Score is the MenthorQ rating system that appears at the top of your dashboard for every asset we cover. It analyzes four key factors: option, volatility, momentum, and seasonality. Most scores range from 0 to 5, where 0 indicates bearish bias and 5 indicates bullish bias. The seasonality score is unique, ranging from minus 5 to plus 5, where minus 5 represents very negative seasonality based on 20 years of historical data. All scores are backdated so you can analyze historical patterns and identify trend changes.

Each Q-Score screener comes in four versions to give you maximum flexibility. The highest score screeners show assets with the strongest bullish readings in each factor, while the lowest score screeners identify assets with bearish bias. The one day increase screeners reveal assets experiencing rapid positive or negative changes compared to the previous day. For example, if an asset shows a four-point increase in option score (going from zero to four), this could signal the start of a significant trend move.

When you combine multiple filters, you can find extremely targeted opportunities. The lesson demonstrates how Cloudflare appeared with both a very high option score and very strong momentum score while showing low volatility—creating a compelling setup. You can also identify bearish setups, like when Pepsi showed very low option and momentum scores with negative gamma conditions. When Norwegian’s option score dropped by three points in a single day, this dramatic shift provided an immediate alert for potential bearish trades.

You can access these screeners under the screeners section, where you’ll also find our gamma level screener, open interest, and volatility screeners. Each screener provides the top 50 assets matching your criteria, along with additional data like gamma conditions, implied volatility, and IV rank. Simply click on any ticker to jump directly into the full dashboard where you can analyze all our models and the sku for that asset, allowing you to go from screening to full analysis in about 30 seconds.

Video Chapters

  1. 00:00 – Introduction to new screeners
  2. 00:50 – Understanding the Q-Score rating system
  3. 02:21 – Analyzing Nvidia’s Q-Score example
  4. 03:50 – Using the highest and lowest score screeners
  5. 06:04 – Finding assets with one day score increases
  6. 07:24 – Identifying negative score changes for bearish setups

Key Takeaways

  1. The Q-Score combines four factors—option, volatility, momentum, and seasonality—with most scores ranging from 0 to 5 to indicate bearish to bullish bias
  2. Each Q-Score screener provides four views: highest score, lowest score, highest one day increase, and highest one day decrease for targeted opportunity identification
  3. Combining multiple score filters helps you find high-probability setups, like assets showing both strong option and momentum scores simultaneously
  4. You can click directly from any screener result into the full dashboard to analyze all models and complete your trade analysis in approximately 30 seconds
Video Transcription

[00:00:02.05] - Speaker 1
Another exciting feature that we've added today are new screeners. So we're going to go over those very quickly before we go into the integration. So if you go under screeners, we have different types of screeners. So the first one is our gamma level screener. So if you wanted to look at gamma changes and delta changes over time, what are the assets with the highest positive change in jacks or negative change in jacks?

[00:00:29.29] - Speaker 1
You can find them here. We have our gamma levels, so you can screen for companies that are approaching any of the key levels that we provide. Right there, core resistance, put support and so on. We have open interest, volatility, and now we have our Q score. So we're going to go over that because this is going to bring you guys a lot of value.

[00:00:50.01] - Speaker 1
So first let's go into what the Q score is. So the Q score is found at the top of the dashboard, and it's basically the mentor queue rating system that we apply for every asset that we cover. So we look at the asset and we look at the world and we divide it into four different factors. One is option, volatility, momentum and seasonality. The score Normally goes from 0 to 5 where 0 is a bearish bias, 5 is a bullish bias.

[00:01:20.20] - Speaker 1
But our seasonality score goes from minus 5 to, to plus 5 where minus 5 is a very negative seasonality and a plus 5 is a very positive seasonality. So the goal of this course is really to potentially predict where the price could go by looking at those four factors. So, for example, you could use our option and momentum score to potentially look at changing trend. You could look at volatility to understand if it's a good time to sell or buy options. And, and you can look at seasonality where you're integrating the past 20 years of data to potentially predict the next five days of price action.

[00:01:58.06] - Speaker 1
All of these scores are also backdated, so we can also look at the history. So, for example, let's take Nvidia, for example. There was a lot of movement on Nvidia yesterday. So let's look at Nvidia and let's go over the Q score. So we are very bullish on the option side.

[00:02:21.20] - Speaker 1
We are still neutral on volatility. So volatility is neither high or low, very strong on momentum, and we are positive on seasonality. So now here what you can see, for example, let's look at the option score, right? So let's look at this delta shift. So we went from a very negative option score a few weeks ago, like a Month ago maybe, and in a few days we went from a zero to a four.

[00:02:49.24] - Speaker 1
So always look at this change in option activity because as you can see, this could have been the start of a nice trend. So this was a very predictive move that could have given you a really nice strong return, 20, 30% return right there. From this moment onwards, right here, the same thing we can do with our momentum score. So what you can see here is we move from a very bearish momentum to a neutral or slightly positive momentum. And again, this was the start of the trend.

[00:03:23.25] - Speaker 1
So if you combine the momentum score, the option score and then of course the other scores, you can get a great idea on where the price could go. But now of course you don't want to go and look at each stock one by one. You want to find ideas that you can implement. So let's go back to our screeners and let's go in our Q score screeners. So the way we structure this is we are giving you four screeners for every score.

[00:03:50.04] - Speaker 1
So the first screeners is the highest score. So here we want to look at the highest option score. So this is going to look for the stock CTFs or indices that are gonna show the highest option score. So for example we have our SPX, Nvidia, Google Meta, Palantir, QQQ. So those are really experiencing a 5 or very bullish option score.

[00:04:12.06] - Speaker 1
And we provide you with the first 50 names that have the highest option score. So you can filter that. Then we provide you with the other scores. So maybe you wanna not only look at option score but you also wanna look at momentum scores. So if you for example, filter here.

[00:04:28.10] - Speaker 1
Okay, so now Cloudflare not only has a very high option score, but also has a very, very strong momentum score and has a very low volatility score. So again this can give you a very good idea of what the asset could be. So I could actually go click and go and look at Cloudflare in this case for example the second, and this is if we are want to be bullish on an asset or if we are looking for potential ideas for long trade ideas and momentum and trend ideas, we can also look at the lowest option score. So assets that are experiencing a bearish, a bearish bias coming from the option. So here we have our option score, we can filter it by the lowest.

[00:05:17.20] - Speaker 1
So for example, Pepsi has a very, very low option score, very very low momentum score and a neutral seasonality score. On the right hand side we also see our gamma conditions. So we are in negative gamma and we have a 17 implied volatility. So again, really interesting information. You can also click on the ticker and then go back and analyze it into the dashboard.

[00:05:46.29] - Speaker 1
Right. So here you can see all the different models on Pepsi in this case. And then you can look at a string model, our sku. So you can see where we are with the asset. And again, took us literally 30 seconds to find a potential idea here.

[00:06:04.17] - Speaker 1
But we go one step further. So not only you can see the highest option score and the lowest, what about if I want to see the asset that had the strong increase in option score in a positive and in a negative way. So here we have two other screeners which is the highest option score, one day increase that basic shows you the change in option score from yesterday to the previous day. So as you can see here, what we have is for example, in this case we have Kraft had an increase in option score of four. So we now have four option score the day before they were a zero.

[00:06:46.16] - Speaker 1
So they had a massive increase in option score from the previous day. And then you can also see the other, the other scores right there you can see the implied volatility IV rank and gamma condition there. But also if we go back, we can also see the opposite. So what are the asset that actually had the highest increase in negative option score compared to the previous day. So that means that in this case of Norwegian or Okta, the option score of yesterday dropped by three points compared to the previous day.

[00:07:24.25] - Speaker 1
So went from a positive plus three to a zero. So we are now really bearish there. So you can actually use that information to understand, okay, what's going on with Norwegian, what's going on with Dow Jones? So if you are trading Dow Jones, if you're trading futures, hey, the option data on Dow Jones is gone down by two points compared to the previous day. And you can use that to build really interesting trade ideas directly from here.

[00:07:52.29] - Speaker 1
So very, very easy. And we do the same for all the other scores of volatility shift, momentum shift and seasonality.