Demo of Quin

[00:00:16.12] - Speaker 1
All right, so to access QUIN, if you, if you have. So if you are a new user you can access Queen right here from start the chat. Once you, once you start the chat you're going to get to the, to this page, right? So you can use a dark mode, you can use a light mode. I think light mode is easier to read. So we have make it a default but you can always change it at the bottom here. So now what you see is really on the left hand side you have the ability to create a new chat. So here you can start typing anything you want. But obviously sometimes it gets overwhelming so you don't know what to ask Quinn. What can I do? What can I ask? Right, right. So here you, you'll have some questions that are going to show up. These are pre made prompts that we built. But you can also come into the Inspire me section right here. And basically this is going to have a lot of information. So we've divided by category. So let's say that you're new to mentor queue, you're looking at learning, right?

[00:01:21.29] - Speaker 1
You can ask any of these questions. These are just simple prompts. You can ask anything you want to Queen. These are just pre made prompt that you can click and access if you're a future trader. Then we also created some pre made prompts and we're going to go into details in a second. Right, so you have it here. If you're a swing trader then these are other prompts that you have. If you are an option trader you have, you have prompts here. And we're going to go into more details. 0dts Trader. There's a lot of our users who are trading SPX. Here it is. Let's go over those prompt as well. What about just general financial research? So like I like Meta, give me a stock report on Meta or how did NetJax change over the past 10 days. And we're going to go into many, many examples but everything is here. These are pre made prompts. But then if you want you can just come here and ask anything you want around data, around models, around research and you will have it there. The second step is our screeners. We are also going to go into the screeners in a second.

[00:02:29.02] - Speaker 1
So what you have in the screeners is first of all you can ask a question about screening directly into Queen and we're going to show in a second. But if you want to create your screener, save it. Then you can come here and click on Create and what you can see there, show me top 20 stocks buy. So you can just simply type a query there and what Queen is going to do for you is going to provide you with a list of assets. You can filter, you can rank it by here and you can save this screen. So you can simply save this, this will go into your saved screen right here and every day you'll be able to use that and every day will be updated with the latest data. Right, but what about if you don't know where to start? Then you can come into our Explore Explore session and you can start looking at screeners for different use cases. We're going to go over some of those swing trading, extreme positioning. So let's say that you want to see a really gamma squeeze candidates extreme position in there. Iron Condor. So here what you can see, you can click on this and you can see what are the filters that we use for that type of screener.

[00:04:00.12] - Speaker 1
But then we also have option sellers, we're going to talk about that option buyers, sector rotation, directional. Those are all screeners that you're going to be able to run. They are pre made. We curated those. But then again you could simply get an idea from here and you could quickly add another filter. Right. And you're going to be able to go through here. But the most important part I think is first let's go over, let's go over some, some, some things and why Queen can be better for your workflow. So let's go over and we took this this morning, right. So show me this is we're going to compare some of the other AI tools. So my question was show me the stocks with the largest market cap in negative Gamma. Right. So okay we asked Gemini, we get five results. Now let's go over the data. Like let's go to the dashboard and let's look at Tesla. Right. So here Gemini is telling me that Tesla is in negative gamma and one of the stock with the highest market cap. Let's go to our data. Tesla is actually in positive gamma. Let's look at Nvidia which is another, another of the stocks that we find here and we see that Nvidia is also in a positive gamma.

[00:05:19.29] - Speaker 1
So what you are getting here, you're trading with data that is not correct. Right. So let's go over and do the same thing in Queen. So let's go to Quinn. Let's create the screener. Right. So here we get list of assets with our JAX data market cap and then we can always go and see. So let's look at J.P. morgan. We are in negative gamma we can look at our key levels and we can see that our net jacks -90 million and here -90 million. So obviously you can always reference the data that you see from your dashboard directly into here, right? This very, very powerful. Let's go and see what we have here. Technology stocks with the biggest Ivy rank and negative jacks, right? So all of this is really what we call hallucination, right? We are only getting a few results. The data we also looked at, it is not really correct. So you get a set of data. Let's go here, right? I asked Claude the same thing and he gave me a really nice code to build the screener. The technology stock with the biggest IV rank, negative jacks, right? So I get all of that.

[00:07:07.08] - Speaker 1
Not really what I'm looking for. And I'm asking, can you find me these names? Not build the screener here. What you see, I do not have the data, right? You get what a reply here. Let's go over same thing. Perplexity, right? General concept, not. Not actual data. Right. So this is why again, Queen is going to be very, very important, much relevant and. And BASIC is going to really help you. But let's go into what are the things that you can do. So, Alex, I don't know. I'm gonna paste this link also in the chat here. This is a documentation that we put together so you guys can open it, that you can follow it with me and then we're gonna go into the demo. So first is really the documentation of what are the things that you can do with Quinn. So the first thing is screening and rankings, right? Find me the best names by a certain parameter. Right? And we've already seen it here. You can go in our screener and you can come here and say, okay, like let's say we're an option seller. So let's look at this screen and show me the top 25 stocks with IV rank above 70% positive gamma and market cap over 20 billion.

[00:08:33.10] - Speaker 1
So let's click on news. And let's open it up. So here we get our tickers right here, our market cap right here. So we're looking at 20 billion. And then we have our JAX, IV rank and market cap, right? So here you can cross reference the data and then of course you can go back to the dashboard to look at the ticker and so on. Let's go back to explore again. We can have multiple of those. Some of these are really complex. So it's really cool because, for example, you can also look at things that have changed and we're going to go into details like for example, this one, top 50 stocks that change from bearish to bullish bias sorted by market cap. Right? So here what we're looking for is we're looking at our swing trading model bias, whether it's bullish or bearish. So for those who are looking at our data, this would be our five day or 20 day swing model. We're looking at these bearish or bullish bias here and we're looking at stocks that change the bias over the past week. All right, so what we have is bias. 7 days ago we were bearish.

[00:10:28.03] - Speaker 1
Now current bias we were bullish. So for example, we can look at Adobe. All right, so what we see here now if we go and look at our swing model, we're sitting on a lower band bullish bias, right? So we're now in a bullish bias on Adobe. Let's go back a week. So let's go back to February 27th. Adobe was on a bearish bias, Right? So as you see, we're finding, we're looking for the data from a week ago and we're looking at it today. These companies have shifted, so this could be potential maybe companies for maybe a change in trend. So very, very easy. Think about how long it would have taken you to go about the different string models to go over comparing that to last week. Even if you were to do it through a Python code, this would have taken a very, very, very long time. But let's go now into what are the other things that we can do. So multi ticker comparison. Right, right. So here are some examples. So let's go and do that. Right, so if we go back here and we go into Inspire Me, let's go here and let's look at financial research and let's look at this one.

[00:12:03.23] - Speaker 1
So compare IV rank for Tesla, Apple, Nvidia and Meta over the past 30 days in a table to identify which is cheapest, cheapest and most expensive historically. So let's simply click here. All right, so here we get the data on the five stocks, four stocks that are requested and then basically here we get the analysis. So Tesla is sitting at extremely low IV rank, Nvidia consistently highest IV rank. So here you can see immediately which stocks are the cheapest for an option buying strategy, which stocks are the most expensive and so on. Right, so this is another example query, side by side comparison. All right, historical data and trends. This is very interesting. So a lot of you have asked, oh, we would like to access your historical data. We would like to compare it. So let's, let's go over and do that. So let's see, let's copy this query and let's go back and start a new chart. And let's put it here. VRP of Nvidia for the last 10, 13 days. Foreign. So what do we know? So we know that 7 days ago Nvidia VRP was 11.6. Of course, we had earnings last week.

[00:13:55.28] - Speaker 1
Now is sitting at a positive 4.6. And again, this is again data comparison. And then you can also ask more questions. You can always ask more questions. So changes over time, this is massive. Queen can calculate the change over time, right? And, and basically can calculate, for example, which stocks saw the highest IV rank change versus last week. So let's go over and go here. So you can ask here or you can ask in the screeners. So let's go. So let's look at this, Right? So here what we have, we see American Airlines went from an IV rank 44 to an IV rank of 68 and so on, right? So here we have the, the 3 assets that have seen the largest IVRM change. So again, this is really temporal comparison. But if we go into the screeners, then we also have a lot of really interesting screeners that we have here. So we're going to go into those in a second. The other one is really distance to key levels, right? So show me stocks that are within a certain percentage of their core resistance, put support 52 weeks high and so on. So let's go over this one as well.

[00:16:06.08] - Speaker 1
So we can go here and let's do. So now we get a list of these assets that are basically close to their, to their core resistance. So you can do it in two ways. You can ask it in the chat, but if you wanted to save this search, then you can create a screener here. Now I have ivory level, but it's the same. And then basically you'll be able to save it from there. So you'll be able to save it right here. So here you see the hybrid level, you see the close price and, and you see how far they are from that level. All right, Screening for changes over time, not just today's snapshot. This is super powerful, right? So here we're going to do another example. So this is really stocks that have seen an increase in IV rank versus one month ago greater than 20%. Right? So you're trying to see stocks that maybe were cheap a month ago. They're now becoming expensive. And then you can do that very Simple. So let's go here. Right, so this is really interesting. So real estate sector became very expensive in terms of implied volatility.

[00:18:04.24] - Speaker 1
And then we have a lot of other, other really cool, cool names here. Right. So very, very simple. So this is really change over time and I believe you can go back until, for one year of data going back. So this is very important. But then the last one which is really, really cool is extreme positioning and percentiles. Right. And then we're going to go into some more complex example. But let's, let's look at what this means. Right, so when we look at percent as we're trying to rank compared to the past three months or one year, where we stand in terms of the field that we are using. So if you're using an IV percent that we want to know if volatility over the past one year has been higher or lower compared to where we are today and where do we stand in terms of percentile? Are we in the 90 percentile, 10 percentile and so on. So you can search for Jax, Dax, implied volatility, vrp, SKU and open interest. Right, A lot of fields and we're gonna go into that. So scrolling down the documents here, we are also gonna see all the queries that you're gonna be able to do and all the quant fields that we have.

[00:19:17.01] - Speaker 1
We have about 97 plus data points for every ticker. So you can screen really for anything Identifiers so you can screen by a type of ticker, stock CTFs indices and future by sector industry by the name of the company. Market cap, close open price, high price 52 weeks high implied volatility. Call volume put volume call open interest Gamma Delta Expiring gamma today expiring gamma one week, two weeks one month. Tenors so you have the 50 delta zero. It is implied volatility the one month and the three months you have the SKU. So you can screen for our SKU data. You have our VRP and our VRP three months. We introduce the NVRP which is the normalized vrp. So that can tell you basically if implied volatility is really expensive compared to historical volatility. So it's a ratio between VRP and historical volatility term structure. And then we have our percentage. So this is really, really cool. Call percentile IV percentile Q score Gamma level, swing level. Right? Some example prompt prompt here that you can use. And basically of course Queen is not going to tell you what to buy and sell. Queen is your research desk.

[00:20:45.22] - Speaker 1
So your research tool. So again, it's not recommendation, it's really helping you doing the analysis. All right, so let's go over and do and look at some prompt that can be used. Right. So the first thing, of course we are in a period of uncertainty. We are in a period of high volatility. I think risk management is really key right now. So managing risk. So obviously if you're a trader, you want to make profit, but the most important part is really managing risk. So how can we do that effectively? So let's go over and do some really nice research. So like give me a sector rotation update looking at demand. So for example, we talked about oil this morning, but maybe we want to see what other sectors are changing and what are the things that we should be focusing on. So here we have our sectors and then our key takeaways. Healthcare, energy have seen a big increase in momentum. Option technology has kind of like shown some divergence and obviously the one that have been suffering are financial services, consumer cyclical and industrial. Right. So again, this is something that would take a research team hours or days.

[00:22:18.19] - Speaker 1
We've doing, we've been doing this in moments. Let's do something. And I think this comes from Patrick, if you're a futures trader. Right. What are the things that you can ask? Right, so show me how put support and core resistance change over the last 30 days for SPX, QQQ and GLD. Why are we doing this? Because we want to see if positioning has shifted and if we could be experiencing a new trend or maybe not. Right. So we can see immediately that put support kind of moved, went down especially on, on spx, but it didn't really change much on qqq. Same with core resistance. What about gold? Now we are going lower. So we went from 400. This is looking at February from a 400 put support went all the way up to 450 and now we're sitting at 410. Similar to core resistance, core resistance actually went up from 475 to 495. And let's look at core resistance and put support for QQQ state in the the same range. And core resistance on SPX stayed the same and of course we went down from 6,800 to 6,700. So you can immediately see any potential shift.

[00:23:49.21] - Speaker 1
And this can give you some sort of like confirmation of what's going on. Then Patrick, I'm going to run your, your second prompt and then basically we maybe you can tell me how as a futures trader you can use this. So what were the most active price areas in the last 30 days for SPX based on Jax? So let's look at that. So let me know Patrick, how for example, as a future trader you're interpreting this data and how you you can use it to, to become actionable.

[00:24:52.02] - Speaker 2
All right, let's go. So do you remember Fabio, we was doing last week and masterclass about why volatility is your best friend.

[00:25:03.06] - Speaker 1
Yeah.

[00:25:04.08] - Speaker 2
And this was really for me and pro member, this was a really eye opener for us and we was talking about put support and we was talking about core resistance and what we was seeing in the presentation was the shift from the put support and the shift from the core resistance. Because one of the questions from our members was really how we can predict something. And if we see that we have already in shift and put support and call resistance over days, this is maybe some signal for us that we should be really careful with this as early warning. Because how many of you guys want have earlier some information that something is cooking in the market and this is something how you can use it by the way. And this is how I'm used also to have a feeling about what's going on on the market over for example the last 30 trading days. I can also go in the last five days. So if you've been day traders, the last five days is also really interesting to really see how everything has changed and how I should be prepare myself for better trading plans.

[00:26:16.01] - Speaker 2
So have a plan A for long, have a plan B for short or C, have a plan for not taking any trade. So that's why for me the shift from put support to call resistance is really, really important and we should monitor this every single day. And if you're looking into the areas. So in the last areas in the price areas, why is this important for me? Because then I have a much better overview from box to box trading. I can now map out everything on my shot, find out the really good price areas and then I can decide better entries and exit for box to box trading. Really simple. And this is something what we're teaching also every single day in the program. And if you need help with this, how you can leverage based on mentor queue queen. We have also the one on one. We have the small group sessions. So no worries, we can do this.

[00:27:18.03] - Speaker 1
Yeah. And let's look, let's go back to our inspire me page because again guys here we have about 97 plus quant metrics. So think about, you can combine those together, you can look at change over time. So I'll ask the JAX percentile change for the past one week together with any IV metric, any call open interest metric. And then when we go back in our Inspire me is really, really interesting that you look at what's happening here in, in the financial research section or if you're an option trader here. And also let's, let's look at this, this one is actually, is really interesting, right? So let's look at the call open interest versus put open interest build up for Nvidia over the past 10 days, right? So which side is accumulating faster? So here we are taking historically the, the last 10 days of call and put open interest and we're seeing the change and then here you can immediately see which side has been taken more, more size. So we're seeing that there is more buildup on the call side. So why is this important? Because then you are comparing what's happening, what's happening over the past 10 days.

[00:28:47.21] - Speaker 1
Is the trend changing and what, what are we seeing? Or let's go back to uninspired me section and let's go, let's go and see some other cool query. All right, compare, this one is cool. Compare the total gamma exposure for the tech versus financial sector. So we're going to look at the etf, XLK and XLF over the past month, right? Why is this important? Because you want to see especially in this time of kind of tension, in this time of crisis, what is the market doing? What have they been doing? Right? So here we have our JAX data for xlf, our DAX data, xrk and then here you can see how this has changed over the past, over the past few weeks we're comparing financials and technology and then here you can see what the trend here so very, very simple. Again to run this analysis you would need a lot of data, a lot of coding experience. This is all done with you in a matter of seconds. Let's go back into our financial, let's see if there's anything cool. All right, this one, compare the option metric of Nvidia with seven days ago.

[00:30:18.27] - Speaker 1
So again we are looking at today's option matrix versus the option matrix from seven days ago. So let's see what has changed. Right, So here you get all your questions and answer there and, and basically telling you what change how we were on February 25, March 6 and so on. So you're looking at score, you're looking at gamma, the change in gamma, the change in delta and you can see immediately if we went up or down. And what does that mean? For you. Then you can keep answering. Keep talking to Queen about this. Let's go back to our inspire me again. All right, this one is pretty cool. Compare Apple, Microsoft and Google across momentum score. VRP stands for volatility, risk premium and JAX and which one offers the best risk reward for a two week swing. So we have our data here, right? And then we have our observation. And then you have all the, all the explanation if you are willing to build trading setup on a few tickets that you're monitoring. Right. So I think this is very cool and you know send us any question that you want to test or send us in the Q and A.

[00:32:12.21] - Speaker 1
Guys, we're going to go over this in a second. Let's go into the screeners and let's look at some really cool ones that are extreme positioning. Right? So here what you have is show me the top 20 stocks with the highest one year percentile of one month skew, right? Very very complex query. This basically showing you if the SKU is sitting at the 100 percentile or not or, or roughly 100 percentile. So the highest one. So that can tell you if the skew is really in an extreme positioning. But you can also do jack sput core ratio, lowest 1 month skew and another jack sputical ratio here. So you want to look for extremes, right? So this could give you some really interesting ideas. Let's go into the option selling side. Right. So here we have top 25 stocks with highway rank above 70 positive jacks and market cap over 20 billion. We've seen this top 20 hiker stock with BRP greater than 10% and volatility score greater than 3. So again if you are looking at the more stable sector you want to sell premium on those assets you are looking for a VRP greater than a certain percentage and a score there.

[00:33:45.11] - Speaker 1
Let's say that you want to trade stocks that are approaching put support. You believe that there could be a bounce there. But also they have a big IV rank, right? So you can see stocks that are approaching a major level that are pricing high in volatility. So you can, you can run some search there. This one is pretty cool. Top 25 stocks with backward dated term structure. Right. So when we go back into our data here we have backwardation contango. We talk about that. But how can you screen for assets that are experiencing a backwardation or a contango structure? Well we've created the ability right here. So you have a backordated contango term structure and you can search for that you have NVRP here, something really interesting. And then let's look at directional. So there's one that I really like, this one, which is the top 20 stocks by OI call percentile three months. So what does that mean? Is that these are stocks that are seen the largest OI on the call side over the past three months. So what does that mean? That the call open interest on, on Marsh or Brookfield or any of these companies is at the highest.

[00:35:10.13] - Speaker 1
And why is this important? Because that could be a directional signal. It could mean that the market is buying more, more calls than puts. So you can use that percentage to find really interesting ideas. But again, you are not limited to that. You can actually create your own screener. You can combine multiple, multiple factors and, and you can basically save it right here and access it every time that you use the, you use the tool.