How to find Stocks and Swing Trading Idea using our Quant Engine

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It.

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Welcome back, team. Happy to be here again with Anne Marie. Welcome, Anne Marie. It's always a pleasure. How have you been? I think you're on mute. I think you're on mute, Anne Marie.

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There we go. Yeah, yeah. Super excited to be here, welcome In

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a couple of weeks. Last time was really good, we had some really good gold nugget. And today of course we are here. If you guys followed us. Earlier today we had our demonstration of Quinn. Yesterday as well we had our product launch. So let me share the video here in the chat. One second, let me just share the link. And basically we are very excited, Anne Marie, because I think this is going to be really game changing for a lot of the retail traders. So the team is always like, you know, as retail traders, like how do we build kind of like a successful, consistent strategy?

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Yep.

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Can we compete with the big guys, Right. The quant institutions of the world.

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Right.

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So before AI, I think it was more challenging, right, because you had to like absolutely average a lot of tools, a lot of data fragmented research. And obviously with AI everything is more simple. People know to code, can now kind of like ask, you know, Claude or chat GPT how to get things and how to, you know, they can pull in data and so on, but at the same time it's obviously time consuming. So what we've done is what you see here, we built our quant engine which essentially allows us to combine knowledge data. So Queen has been trained on all our knowledge for the past 20 years, whether it's trading accounts, journals, all our trading accounts, all our internal research paper, the ones that we use for building our product, books, news items, all the guys that we have on the website, all our, all our videos, there's like basically a lot of things that have gone into the training. So that's the knowledge part. The second part is the data. Right. Because the problem is that if you use ChatGPT, most likely it's not going to do anything unless you give it data.

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Right, exactly.

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Yeah. And if you give it data then yes, it's going to do the analysis. But sometimes also the, one of the biggest challenge is that AI is actually not very good at managing unstructured data. So everything that is Numerical Excel files, they will hallucinate a lot. So they will always like give you an answer that sounds nice. In the end the data is not correct.

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Right.

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And

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we can go over and show like some example using other AI tools. What we've done here is we built a tool that does not have a high probability of hallucination because we built our data structure, our data engine that basically allows us to get really accurate results. So today I can answer all your questions and we can have Quinn answer all your questions.

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I'm excited.

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So just to. So basically the way it works is obviously you can chat with it and you can ask everything. So a lot of people like get overwhelmed. What can I do? Right? You know, I have a nice toy, but what can I do with it? So what you have here are some really pre canned questions. But really you can come into our Inspire me page and basically just look at the different categories. So if you want to learn complex

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stuff like oh, I love that. Oh my gosh, these prompts are fantastic because that really as someone that actively uses this when I, when I talk to other people who are very good at prompting, I always realize that's where my weaknesses. So this is fantastic. The prompting event's incredible.

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Yeah. So the, the idea is really like this prompting and the screening. So prompting, sorry, research and screening. So research is really like. Let's say you read the news and you want to get a report on a company that you care about. So obviously this one is meta, but we cover about 1400 plus assets. So you could actually ask any of the companies in our catalog and you'd be able to ask to get a really interesting result. But then is really the beauty about it.

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And let me share this news about 97/ quantum method, right. From traditional things like market cap pricing.

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Your audio is clicking in and out. It's sort of.

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Is it better?

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Yes, yes.

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Sorry for that.

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That's okay.

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Yeah. So here you have all the different metrics and then what's really cool is that you can basically use all the charts that you see on our platform. Basically the data behind it is all power here. Right. So whether you want to screen for SKU elevated. SKU elevated VRP swing models. So like I think we're gonna show you a really nice way of looking at companies that went from a bearish to a bullish bias coming from the string model or vice versa or companies that are touching a level, all of that stuff.

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Right.

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So that's available to you? Yeah.

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Fantastic. Oh my gosh, that's fantastic.

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Let's try with a couple of questions. What would you like? What are the typical things that you do in the morning? Or like what are the.

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So I don't want to, I don't want to stump Quinn, but I'm gonna give it a go. So one of the things I like to do, I like to look at price. Price levels. And so I will look at the region between 9:30 and 10 in the morning and take a look at that range. And then based on the range and where I am looking at my other gamma levels, it will tell me, hey, you need to buy this dip or you need to buy the breakout or you need to sell this dip or you need to sell the resistance test. So if I were looking at Quinn, I would want to ask it could it structure a setup for me based on the 9:30 candlestick relative to all that. Relative to our gamma information.

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Sure. So we, we have intraday pricing. We don't have the full candles.

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Right, Right. Right.

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So.

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Right.

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For example, can you. What asset are you looking at? Stock or.

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No, I would never. I would, I would look at SPY or I would look at the es or it's always one of those two big ones. Intraday liquidity summary. All right. I would not think to use those words.

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Sure. Intraday data, where are the biggest checks? So let's give it a try. So here we have the price around 50 minutes ago. JT latest end of day. And then we have our, this is looking our. At our intraday data here. So if you look at spy,

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okay, so it tells me it's got a negative gamma event and the IV is low. And it says it's a critical observation. Typically low IV accompanies spread positive gags. But here we see dealer positioning, selling rallies. Okay, can you scroll back up? The language is very useful here. They're, they are hedging by selling the rallies and buying the dips. So that's the definition of the short gamma event from dealer positioning. Can I always estimate. Short gamma means that they are hedging rallies and buying dips. Amplifying directional motion. Because the gamma is short.

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Typically that's like a simplistic way of looking at it. Obviously there's a lot of things that can complicate things like the change in iv the. The change of data that would impact how much they need to buy or sell. So obviously like, you know, gamma hedging is really a complex things. But when we are in a negative gamma, that's what typically happens. They're selling when the price goes down and they're buying when the price goes up.

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Okay. Okay, very good.

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And then of course you scroll down here, you have your biggest jack strikes right there sitting at these areas here. So this could become your box to box kind of areas. Obviously we are, we have our put support level. So if we go to our chart. Let me Just open this up here. One second. All right, so here we have our chart right here. So we have our put support right there. We will put support 0d and if we go back to Queen. Let's, let's go back here. So 660 is our support services by the way.

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Likely we're not gonna get there. But you have your Jackson right here and then you know, above the spot then you have those errors that are around 2% in the spot.

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So yeah, the closest one is 675 which is this cluster here. So very important have our JAX1 and HVL0 DTS and of course JAX3 there as well. So this area here. And of course you also have the core resistance led gamma wall right at 680. So

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yeah. So if Patrick were here and he was looking at that image that you just showed me.

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Yeah.

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Would he wait for the failed retest of the resistance line on that 0dte to buy what is the reflectivity. Yeah. In terms of right there, what would Patrick do? Would he, would he be buying there?

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So I cannot speak to Patrick per se, but I've been on many calls with Patrick that I can tell you exactly what he would do. So I think, yeah, the first thing is going to look at how these levels reacted in the past. So he's going to go the left hand side and see what happened when we were at this 6, 680 level. Then he would basically be trading box to box. So if he believes the market gotcha down, it would be trying to look for this move. Here's a potential for an upside. You will try to, to look for this move and target the next box. And again if we drop more then of course you could basically hold it all the way to the following box. That's going to be a massive move down. But basically you would try to avoid those, those areas.

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Okay.

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The congested area. So it's levels HVL co resistance, gamma wall. So as you can see, you know the price kind of pinning there right now.

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Yeah. Yeah. Okay. Okay. Good, good, good.

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Yeah, that's seven out of ten. Eight out of ten on Queen. Yeah.

[00:14:45.22] - Speaker 2
So something else that I like asking is what relative risk would be based on an atr. Right. So if, if we look at, if, if I go in there and I ask Quinn, hey, if I'm thinking of taking this particular trade on this particular particular day, what should my stop be? Because I don't use the same stops every day based on volatility events. So how would I, how would I ask Quinn, that question.

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So we don't have ATR yet or the technical data. So all the moving averages, they are going to be implemented soon. So.

[00:15:35.27] - Speaker 2
Okay, very good, Very good. Yeah, yeah. So if it were not. What did I say? See, it said if. If I don't have an atr, but I want to do that. What, what tool can I approximate to sit in this region where it tells me the size of my risk?

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Sure.

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So, yeah, and I know I didn't

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come with cake, I didn't come with cake questions today. I'm. I'm sorry, I'm giving you.

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Absolutely.

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I'm giving you the hard ones.

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So what we want to see is how. Looking at. We want to see implied volatility change, VRP and expected move. Right. So again, this is also another powerful tool where we are looking at our research agent that is finding our historical data spy and giving you in a table. Right. So think about if you had to do this manually or if you had to run a python script and you know, like doing. Yeah, we did this with literally a simple prompt. Right?

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Yes.

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So what we see here, and then Quinn is going to give us an analysis. We are comparing today's data, our latest, latest data with the last 30 days. Right. So we can quickly see the first implied volatility went from 14% to around 18%. So went up 4. 4% IV rank was very low. We were at 12% IV rank. We're sitting at 24. We're still like not in a high IV rank, but it went up almost double. And our VRP went from 1.2 to 5.2. So that means that right now it's a good setup for option sellers because you are getting. So implied volatility is really relatively higher

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compared to historical volatility. So you're probably getting a lot more premium than you would have got here.

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So. And also the expected move went from 0.9 to 1.14. So it went up. So you can see that obviously the risk is higher. And then what Queen is going to tell you is the observation, right? And we're looking at the expected move and what it means for option trading. Of course, we're seeing a rich premium right now. We are in a higher VRP and obviously a higher IV rank. Still relatively low, of course, the IV rank. But the VRP is pretty nice. We saw about two days, three days ago, of course, with all the war situation going on.

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Yeah.

[00:18:47.00] - Speaker 1
So that, that can really give you an idea on this. But let's say, like, actually, I want to Go into our prompt and I think one of the ones that I think is really cool is this one. Right. So this one is compare the IV rank for Tesla.

[00:19:07.09] - Speaker 2
Oh, I love that.

[00:19:10.23] - Speaker 1
And then I want to see which one is on average cheapest or most expensive. Right. So if you are thinking of buying a Max 7 company, what type of strategy do you want to do? So clearly we see that Tesla is really the cheapest one. The interesting, the IV rank of Tesla has been relatively low in the past few weeks and months. Nvidia and Apple are really the highest one. So again like how do you structure this so you could, you could do a spread trade if you wanted to. So you're betting that volatility of Tesla can go up or volatility of Nvidia can go down. So you could really do spread trading or you could really use options to benefit from that.

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Very interesting.

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So for example here if you were

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to wanting to sell option on Tesla, you're really selling at the lowest, the cheapest.

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Yeah, I like that.

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So you have taken more risk than you should probably. On the other hand, you know Nvidia saw basically like crash yesterday, 7% 20. Still relatively higher compared to the other one. But you know, if you sold two days ago, you would have really benefit from this crutch even if the price didn't move.

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Yeah, that's pretty impressive. I like that a lot.

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But the other cool part that I want to show you is our screeners. Let's see that. We have an idea. Think about how you do screening. You're combining factors together. The cool thing with which what Queen can do is that we can now run screeners on different metrics. So the first thing is really screening a ranking. So similar to you know your, your screener you use today like a transpider or any of the other screener you can screen for factors. So I want market cap greater than 20 billion and another factor greater than X. So that's obviously nice. But what if you could actually do historical data and trends. So show me all the stocks that have seen an increase in VRP over the past 10 days. Or show me stocks that have seen an increase in gamma over the past 10 days. Right. But the other one is really changes over time. So compared to yesterday, what are the biggest momentum score increase? Right. Then you can search for key levels. So show me all the stocks that are closer to a level, whether it's core resistance, put support. And then here is really interesting.

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I love the changes over time. That's really cool.

[00:22:18.09] - Speaker 1
And, and I Want to show you some example here, but the other one is extreme positioning. Right. So show me stocks that are in a percentage of jacks above 90. So that means that the total gamma or the net gamma today is really at the highest it has been over the past three months. So that means that you are looking for stocks that are seen in extreme positioning from the dealer standpoint. And obviously the. The more gamma we see, the more hedging activity can go there. So maybe there could be gamma squeeze opportunities or big move opportunity because of dealers hedging.

[00:22:57.08] - Speaker 2
Wow.

[00:22:58.11] - Speaker 1
So going up here.

[00:23:00.23] - Speaker 3
So what we've done, we've done the same thing in our Inspire me. This is our explore. So for example, if you are a swing trader, you have all of these screeners, then you have extreme position. We're going to a second option seller, option buyer, directional sector. Let me give you a really nice example and let's do this one. Wow.

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So this is going to find you. The top 50 stocks that change from bearish to bullish bias over the past

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week within our swing model. So that means that if you look at CRM, we move from bearish to bullish. So if we go back to the dashboard, let's go into RMK open Salesforce here. And we can look at spring model. You can see we have our lower.

[00:24:11.21] - Speaker 2
Oh, okay.

[00:24:14.10] - Speaker 1
If we go back one week and let's go back to 2nd of February, The swing model will look different. And we had our upper bands. We were in a bearish situation. So what this is telling us is that maybe on Salesforce we're seeing a change in trend and we are moving from a bearish bias to a bullish bias and comparing the data from one week ago to today and finding opportunities. So this task that you see here in, in AI terms is very complicated. It's actually a very big challenge to. To do so. If you're asking any AI tools that have a database to do this would be very challenging. We've done that. But I could create another screener. And what you need to do is simply give an idea or type an idea and you have a thoughts in your mind. You want to build a screener. Our AI can do that. Show me.

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Wow.

[00:25:25.12] - Speaker 1
Okay. It.

[00:25:47.25] - Speaker 2
Nice. Okay,

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Let's see.

[00:26:12.29] - Speaker 2
Wow.

[00:26:14.17] - Speaker 1
It's really complex stuff.

[00:26:15.27] - Speaker 2
That is. That's fantastic.

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All right, so for those who you know, let's go through the parameters. So we're looking for companies that have market cap greater than 20 billion. So we want mid large cap where the string model bias change from bearish to Bullish. So you see the string bias one week ago and you see the string

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bias today and that are sitting on the three months percentile of whole open interest rated 60%. That means that what you see here, if you look at Adobe for example, we are sitting at the 95th percent. That means that the amount of call open interest today in 95% of the cases is at the highest only on 5%.

[00:27:07.23] - Speaker 2
Oh my gosh, that's amazing.

[00:27:12.03] - Speaker 1
So if we go then back to Adobe here. So basically over the past three months, only on 5% of the days we've seen higher call open interest than today. Right, that's, that's what, that's what it means. So now here we are seeing obviously we're sitting at a very high option score and very interesting, we're sitting at a very high vrp. So this could be a very interesting asset to potentially sell options. And then basically, yeah, we can look at the different levels.

[00:27:52.22] - Speaker 2
Wow.

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Wow. So 82% IV rank big VRP. So again, yeah, we went from very

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simple idea, this, oh I, this call open interest percentile for three months. That's amazing.

[00:28:14.25] - Speaker 1
Yeah. And, and going back to the document. Right. So I shared with you guys the documentation here. So if we look at the percentile data, we can do, for example IV percentile call and put up an interper percentage VRP percentage SKU percentile Jackson Dax. So for example, let's go back here. Let's go and create another one show stocks that are. Jax1. Yeah.

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Percentile

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greater than 90%. Right. So here what we have.

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Right.

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I can't, I can only. I can't see your prompt. I can. Yeah. Okay.

[00:29:31.10] - Speaker 1
All right, so I, what I'm seeing here is show me stocks that have a Jackson year percentage greater than 90%

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and are trading within 15 of your.

[00:29:43.22] - Speaker 1
Right. So what I, what I want to see here is a large concentration of gamma.

[00:29:50.01] - Speaker 3
So let's look at Netflix. Netflix is sitting at the 98%. That means that the gamma, the total gamma that Netflix has today only in 2% of the days was higher over the past year. They're sitting in a very, very high GAM environment and they are, they are sitting at 2% for this. So now we have Matrix there. So first Matrix show an incredible rally over the past past month. And we are sitting at 50. Right. So the next step is to go into the dashboard. And looking at the camera exposure chart for Netflix. There's really not a lot of cameras.

[00:30:58.16] - Speaker 1
Everybody's betting on this 100 level. Right. So theory here could Be okay, we cannot break this level. Right. So this. So if you believe that we cannot break this level, then of course you could use this level as your resistance.

[00:31:15.11] - Speaker 2
Yeah, right.

[00:31:17.20] - Speaker 1
If you believe we can break this level, then you have your support level. So this can become your stop loss. So you could really do some interesting structure. Right.

[00:31:26.09] - Speaker 2
Yeah.

[00:31:27.12] - Speaker 1
Know that Netflix is sitting at the 98%. So if we go back to Queen here. So we are in the last year, Netflix is experiencing the largest amount of Gamma over the past year. So we know that if we were to break this level, which is massive, there could be a nice move to the upside. But of course this level is going to act as a magnet.

[00:31:55.23] - Speaker 2
Yes.

[00:31:57.15] - Speaker 1
So again, your theory could be. We believe that due to News and Catalyst, the market can break this. There could be a really strong move to the upside. If we don't believe that this level can break, then you could use this level and you could opt for sideways strand. And then you also have your support level here at 90, 94. But we know that there's a lot of Gamma. So something big could happen if we were to break this level or potentially this level here. Sorry, I think you're not seeing my.

[00:32:38.04] - Speaker 2
Very good. Yeah, no, I. I could see what you meant by the hundred. Yeah, yeah. Like these prompts are so insightful. Yeah, I don't. Yeah, I just don't think of asking the right way. So it's really. This is really great.

[00:33:04.29] - Speaker 1
Yeah. And also like, you know, you have a lot of prompts for Iron Condors. So there's a lot of users that are liking. I love Iron Condors, selling Iron Condors.

[00:33:17.29] - Speaker 3
So let's look at,

[00:33:21.17] - Speaker 1
see what is core. Let's look at this one. Right, so, So here where we have top 20 stocks with the high, high V percentile, positive Gamma and low historical volatility. Right. So you know, volatility, historical volatility is pretty low. But we're sitting at a very high IV percentage. So that means that you're getting way more premium than you would historically normally.

[00:33:57.15] - Speaker 2
Yeah, I was noticing that list. I was like, interesting.

[00:34:03.15] - Speaker 1
Johnson, you have what we have bank of etf. Yeah. So you have some interesting name. And then of course historical volatility there. So this one is, is a good one. And then we can also look for, for example, option sellers.

[00:34:30.08] - Speaker 3
Right.

[00:34:32.13] - Speaker 2
Okay.

[00:34:35.00] - Speaker 1
So here we have, you know, very simple screen. Top 25 stocks with IV rank above 70%, positive gamma and market cap over 20 billion. So why you want positive Gamma? Because you want a lower kind of volatility. So we know that when we are in positive gamma, the volatility tends to be reduced collapse. Yeah, so you can do that or top 20 ETF with an IV rank again greater than 70 and positive comma. So if you want to play it safer and trade ETFs instead of stock, you could do that. And then here you want.

[00:35:17.01] - Speaker 3
10%. But the other two things really. And I don't know if you guys use our term structure. So the term structure of the liquidity tell us basically based on the structure of the curve. It will tell us basically if the market is pricing higher volatility in the short term of the curve versus the long term. So in this case, what we see here, that in the shorter term of the curve, within the next 1, 2, 3, the implied volatility of SPX is over 24%.

[00:36:01.17] - Speaker 2
And that's outsized. Right.

[00:36:04.25] - Speaker 1
That's basically if what this compares to is yesterday. So you see how this went way up from yesterday. This was five days ago, the red one and one month ago the yellow one. So five days ago the implied volatility was about 6 to 7% or 6% cheaper than what it is today. And then of course also on the longer side of the curve was also much cheaper.

[00:36:34.12] - Speaker 2
Okay.

[00:36:35.04] - Speaker 1
What this tells you is that the market is pricing higher risk in the shorter term versus the longer term. So what this do. And this is a backwardation kind of like structure, right.

[00:36:51.02] - Speaker 2
Interesting.

[00:36:51.23] - Speaker 1
The opposite. So it would be, would be going like this. So what screener can now do. And I think this is awesome. Top 25 stocks with contango term structure or top 25 stocks with.

[00:37:06.05] - Speaker 2
Oh my gosh. So now that's awesome.

[00:37:11.16] - Speaker 1
Yeah. So now we can see, okay, like we are now looking at assets that are pricing more risk in the shorter term of the curve. And here we have of course JP Morgan, ExxonMobil, you know, spy or we could go and do the opposite and we could go and see. In contango. Right. And why is this powerful? Because if you're an option trader, you could really sell time spreads and different credit spreads. Yes, the contango structure.

[00:37:51.13] - Speaker 3
Wow.

[00:37:53.08] - Speaker 1
So going back to our dashboard here, we saw Nvidia can go back to the data and basically you can see basically how kind of like the curve

[00:38:09.19] - Speaker 2
is really pricing out right here, the smile there. Yeah, very cool.

[00:38:21.23] - Speaker 1
But again, these are just some of the proms you could, you could really put it on.

[00:38:28.21] - Speaker 2
Once you get acclimated to the environment, there's just all kinds of things you could ask.

[00:38:36.14] - Speaker 1
Yeah.

[00:38:36.29] - Speaker 2
Then direction yeah, let's look at the sector rotation one.

[00:38:42.03] - Speaker 3
Yeah.

[00:38:46.03] - Speaker 1
All right, so here what we have top 20 energy stocks with the highest momentum score and volatility score. So again if you're playing the sector you can do that or wow. Top ETF that are within 5% of put support or core resistance. And then of course technology stocks with the highest momentum score that also have a seasonality score greater than one. So what what you want to see here is within the, within the technology sector, what are the bullish candidates in this environment? So we see this company, Dave Inc. Next nav. Intel Corporation into it.

[00:39:35.20] - Speaker 2
Interesting.

[00:39:36.13] - Speaker 1
Autodesk and all of that and Microsoft stands at the two. But, but then we can, you know, we could go and build, you know, add more, more things to that. What I really like also if you want to buy, buy if you're an option buyer.

[00:39:58.20] - Speaker 3
Right.

[00:40:00.06] - Speaker 1
So here, this one is cool. So top 25 stocks with the largest percentage increase in call open interest versus the previous day sorted by momentum score. So we're looking at call open interest percentage right now. Vers yesterday or okay, yesterday versus the previous day. We want to see the largest increase. So we know that this one are the ones with the largest increase. So RTX. So an increase in Colopan interest of 3% they're sitting interesting score of 5. Shell, Coconut Phillips and so on. Starbucks. So these are assets that have seen an increase compared to the previous year. But you could actually go back, you know, 10 days, seven days. So let's do this one. Let's create a new screener and let's say.

[00:41:08.01] - Speaker 2
I can't hear you again. I'm sorry, no. Yes.

[00:41:19.14] - Speaker 1
So here we are looking at the call open interest increase over the last seven days sorted by momentum score. Right. So this is really interesting. So now we still see Shell and RTX but the call open interest increased by 35%.

[00:41:41.05] - Speaker 3
Wow.

[00:41:42.06] - Speaker 1
So this is obviously a massive, massive change. Shell of course. So the energy sector has seen an increase in. In call open interest of course. But, but basically like yeah, like this is what interesting.

[00:42:03.09] - Speaker 2
Can you do that by puts also so I'm sure. Yeah.

[00:42:26.29] - Speaker 1
All right. So we've also seen on.

[00:42:31.09] - Speaker 2
Oh interesting thing.

[00:42:33.11] - Speaker 1
So

[00:42:35.16] - Speaker 3
yeah.

[00:42:36.10] - Speaker 2
So here's the question. If you look at those and you say you see it on both sides, do you think there's hedging, straddles, strangles this sort of thing?

[00:42:52.29] - Speaker 1
What, what do you possibly both. Because basically like think about, you know, all these especially the energy sector, right? There's a lot of volatility that's gone into it. So maybe the fact that you're also seeing the put open interest change means that people maybe are, are doing like iron condo structure or. Ah, right. So it's completely possible that,

[00:43:20.21] - Speaker 2
so there, there could be all kinds of things. There could be ratios, ratio spreads on both sides. That could be all kinds of things. That's very interesting. Yeah, that is very interesting.

[00:43:33.02] - Speaker 1
But the other thing that I think this one's going to blow your mind. So let's go into a new chat and let's paste this prompt here. Let me know if you can see it. So obviously there's a lot of things going on in the energy sector. So I want a full analysis of the sector and I want to get the winners and losers and I also want volatility analysis. Right. So think about this is the job of a research analyst that would send basically a briefing to the market or to the portfolio manager. So if you're sitting in a big research desk, you have your energy analyst. They would look at everything, they would put all the data together and once a week they would send a very extensive report. Here what we have is we have our energy sector here. Yeah, you can, once it loads up you're going to be able to also see the different fields still loading. So here you have basically setup signal. We can see what this means.

[00:44:47.01] - Speaker 2
Oh my gosh, how cool is that?

[00:44:49.16] - Speaker 1
So you have an expensive IV but a low volatility regime. So the pro VRP is elevated. Yes, you have a 10% VRP. Then you scroll down and let's look at the momentum score, key divergence for example.

[00:45:06.22] - Speaker 2
Okay, this is cool.

[00:45:08.14] - Speaker 1
Shell is really high on volatility score but the seasonality is really negative. Right. So so you then you have our volatility analysis. So here you have high realized volatility. So basically our volatility score of 5. And this is really basically the tickers right there. And then here is showing you basically which one are your premium selling candidates, the ones that are seeing a high VRP and high IV rank. So you have cocoa chevron and which one are the premium buying candidates that are really experiencing very low VRP and obviously IV rank two. And then of course you have a sku. So you, you want to see which ones are in a bullish skew or bearish skew. And then basically again here you have your best setup. Wow.

[00:46:10.03] - Speaker 2
So may I look at this prompt again to understand it?

[00:46:14.23] - Speaker 1
Yes.

[00:46:16.11] - Speaker 2
Incredible.

[00:46:17.21] - Speaker 1
The prompt is right here. So give me full analysis sector with all the mentor key data. Look at the most Important winners and losers giving setups. And I also want volatility analysis.

[00:46:34.02] - Speaker 2
Right, Excellent.

[00:46:35.23] - Speaker 1
So again the, the challenge here is the prompt, right? The prompt is the most always but once you get that then you, then

[00:46:46.01] - Speaker 3
you're good and then amazing be saved

[00:46:49.09] - Speaker 1
here and then you can search for them.

[00:46:51.23] - Speaker 2
So if I. Oh, nice, nice. Okay.

[00:46:55.14] - Speaker 1
Prompt. We don't have the ability yet to save your prompts, but we're going to develop that soon. But essentially all your chats will be here. So if you found a nice prompt, you'll be able to search for it. You can also leave a comment. So if you basically like the answer, you can leave a feedback. There's a, there's a feedback button here on every questions. If you don't like it and you think something is wrong or you wanted to send a different feedback, just send it to us and know click click on here and send us the feedback. And we're going to basically work on adding those to, to the product. Like could be anything could be. I would like to have a different analysis. I would have like to add these fields and so on so we can do that.

[00:47:45.22] - Speaker 2
Excellent. Wow. I am thunderstruck. Truly. I am thunderstruck. This, you know, it truly is. How do you ask, how do you ask these questions and then understand that it's going to take everything. This is fantastic. I love the risk warnings. I love the boil down of, okay, here is what the SKU looks like. I mean this is just amazing. What an incredible tool.

[00:48:22.14] - Speaker 1
Yeah, I think we, our team, I'm

[00:48:25.08] - Speaker 2
sure you guys are very proud of it.

[00:48:29.01] - Speaker 1
To be honest. We saw this a month ago, me and my partner, we were really, we could not believe it. And then I spoke to someone in the institutional space and they were like, what you did is a very, very challenging problem to solve. Right. Being able to combine unstructured and structured data together at the speed that we've seen. So we're very happy because we know that there's not many tools out there that can do this. So that's for sure.

[00:48:57.17] - Speaker 2
Wow.

[00:48:58.25] - Speaker 1
So.

[00:48:59.06] - Speaker 3
Wow, wow, wow.

[00:49:01.05] - Speaker 1
From a friend that works in a very large hedge fund. So he was like, yeah, you guys are really cooking something here. So we're very excited.

[00:49:09.02] - Speaker 2
That's incredible. That's incredible.

[00:49:13.07] - Speaker 3
Yeah.

[00:49:14.01] - Speaker 1
So.

[00:49:14.20] - Speaker 2
Well, I'm gonna have to go work in there just a bit more and figure out, figure out how to ask. So I appreciate you showing me that, that detail of what the prompt looks like because I think it'll really, it'll really help. It'll really help. Yeah, you literally could do that for any sector that you were interested in.

[00:49:40.11] - Speaker 1
Yep.

[00:49:41.05] - Speaker 2
Yeah.

[00:49:43.05] - Speaker 1
And. And you can really, you know, create really complex, you know, compare, for example, what happened to SPX today versus 5 days ago, how has Gamma Change, what are the areas, all of that stuff, all of that is available. Awesome.

[00:50:02.20] - Speaker 2
Awesome. Wow. I literally am blown away.

[00:50:09.12] - Speaker 1
That's good.

[00:50:10.06] - Speaker 2
I. I am, I'm literally blown away. I can't, I can't wait to talk to some folks about this show, to them and. Yeah, yeah, that's amazing. That is amazing.

[00:50:23.05] - Speaker 1
Yeah, thank you so much. And yeah, I also want to share, guys, if for anyone who wants to join. So first you can try this for free. So you can create a free account, go to mentor Q.com free and you can have access to some limited queries on Queen. But if you want to basically get full access, then we have our promo here. So join our Premium or Pro membership. You can find the link at the bottom of the section and you can get access to our daytime models. And with our Pro, you actually get 10 times the amount of messages that you get on Premium. So if you are really nice, use this as an extensive analysis tool, then Pro is probably going to be the best option for you. And together with Pro, you also get access to our live trading rooms five days a week. So you can trade alongside Patrick and massage and basically, yeah, also see how they use the data, how they use the, the prompts and Queen and so on.

[00:51:30.27] - Speaker 2
Awesome. Incredible.

[00:51:33.09] - Speaker 1
Awesome. Thank you. Thank you so much for your time.

[00:51:35.28] - Speaker 2
Oh my gosh, it was so exciting to take a look at this. This is great. So I would go to your channel to look at the other, The other descriptions of Q and of Quinn and how, how it's looked. Okay.

[00:51:58.15] - Speaker 1
Yeah. So you. Well, you have for example, the Inspire Me section here with all the prompts. There's a within our guides. So within our blog you also have documentation here. So you also see like the prompts document that I showed you. Great documentation. I also pasted the link in the chat. You can also see use cases. So these are like, you know how to use.

[00:52:29.13] - Speaker 2
Oh yeah, look at that.

[00:52:32.05] - Speaker 1
Morning analysis. So if I'm like, if I, if

[00:52:34.25] - Speaker 3
I'm like an SPX trader and so on.

[00:52:38.13] - Speaker 1
So we are, we're going to build more use cases here.

[00:52:40.24] - Speaker 3
But again, I think you can also ask when. So if we go back here, let's go here. And we're going to close with this.

[00:53:04.13] - Speaker 1
Oh,

[00:53:06.16] - Speaker 2
of course. Why didn't I think of that?

[00:53:11.12] - Speaker 1
I don't know. I haven't tried this, so. Right.

[00:53:29.29] - Speaker 2
Nice. Oh, nice. Okay. That's awesome. Yeah, that's awesome. Man. You guys are never sitting still.

[00:53:47.17] - Speaker 1
No. This one.

[00:53:48.12] - Speaker 2
Holy cow.

[00:53:49.24] - Speaker 1
Very proud of this one. And the team did an amazing job.

[00:53:54.03] - Speaker 2
This is groundbreaking.

[00:53:55.23] - Speaker 1
And this is just also the beginning because then we're going to add more data. You know, we're going to have real time gamma exposure data coming soon. So again, that's going to also be great. We're going to have back testing, we're going to have more data sets, more like metrics, like earnings, all of that stuff.

[00:54:17.01] - Speaker 3
Right.

[00:54:17.14] - Speaker 1
So

[00:54:20.18] - Speaker 2
can't wait.

[00:54:21.17] - Speaker 1
Yeah. Awesome. Thank you. Thank you, Maria, and thank you guys

[00:54:25.19] - Speaker 2
for being a pleasure.

[00:54:27.07] - Speaker 1
Hope you. Hope you enjoyed. And if you guys have again, you can join us, follow us, send us a message. And this week we're gonna have a lot of other sessions. So we're gonna be live trading on Friday with Patrick. So if you guys are interested, join that. Patrick and massage will be live trading on X and YouTube. So that's going to be really interesting. You're going to be able to see what we do in our program and then of course, follow us. We have more sessions this afternoon and later in the week. Yeah. So thank you guys and thank you, Anne Marie, for. For being here and see you. See you next time.

[00:55:04.00] - Speaker 2
All right, take care, everybody. Bye.

[00:55:06.10] - Speaker 1
Bye.