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In this lesson, you’ll discover how to leverage MenthorQ’s new crypto intelligence platform, which brings institutional-grade quantitative tools to digital asset trading. We’ve developed this product around four core pillars: quant models focused on flow, volatility, skew, and gamma exposure; new machine learning algorithms for price action prediction; a dedicated trading dashboard for crypto data; and integration with platforms like TradingView, CRCHR, and Ninja Trade where you can access Bitcoin, Ethereum, and other crypto levels directly.
This product serves multiple trader types. Whether you’re a day trader, scalper, or swing trader, these tools help you formulate trade ideas across different time horizons. We’ve also expanded our swing trading models and option flow intelligence to cover crypto, allowing long-term investors to understand market flow direction and holding periods.
Our coverage focuses on liquid coins across three main exchanges: Deribit, Binance, and OkX, which handle over 95 percent of derivatives flow. This multi-exchange picture provides comprehensive insights into the derivatives market. Within the platform, you can access data from all three exchanges to shape your understanding of crypto market movements.
Our gamma models for crypto reveal hidden forces in the market by analyzing positioning, edging flows, and volatility pressures. Built on proven option theory and derivatives data, these models help you define support and resistance zones, liquidity pockets, and potential squeeze points. We’re one of the first companies bringing this institutional-level insight to the digital asset space, and our gamma levels are already live for users of TradingView and NinjaTrader.
We’ve also developed three specialized crypto quant models because price action alone doesn’t tell the full story in the volatile 24/7 crypto market. Traditional indicators often generate false signals by ignoring sentiment and flow dynamics. Our quantitative tools—Q crypto risk on and off, QRSI, and Q crypto direction—provide reliable, data-driven signals that help you identify directional bias, momentum conditions, and market sentiments while avoiding emotional decision making. These models combine market structure knowledge, machine learning, and institutional frameworks to give you context and confidence in high-risk environments.
Video Chapters
00:00 – Introduction to MenthorQ crypto intelligence four pillars
01:00 – Product users: day traders, scalpers, and swing traders
02:11 – Coverage of coins and three main exchanges
03:13 – Gamma models for crypto and institutional insights
04:41 – Gamma levels integration on trading platforms
05:09 – Development of crypto quant models and their purpose
Key Takeaways
MenthorQ’s crypto intelligence provides institutional-grade tools across four pillars including quant models, machine learning algorithms, a trading dashboard, and platform integrations
Coverage focuses on liquid coins across Deribit, Binance, and OkX, representing over 95 percent of derivatives flo…
Video Transcription
[00:00:03.06] - Speaker 1 So we're gonna start introducing our mentor queue crypto intelligence. And the product is developed in four kind of pillars. Right. So we are bringing you our quant models which are focused on flow, volatility, skew, gamma exposure, similar to what you're already using on the equities and indexes and futures. We also built quant models that is now leveraging new algorithms using machine learning that look at price action to potentially predict different signals within the crypto market.
[00:00:38.15] - Speaker 1 And we're going to show you that as well. We also released a new trading dashboard for our crypto data. So right now if you connect to our dashboard, you can access our crypto intelligence read directly from, from your dashboard. And then of course we are now also integrated. We have our levels on TradingView, CRCHR, Ninja Trade and all the other platforms.
[00:01:00.25] - Speaker 1 So you'd be able to access Bitcoin, Ethereum and all, all the other levels directly on your trading tool as you do already with our equity and index product. So who is this product for? So like who can use this? So we built these tools for crypto traders, day traders and scalpers, those who are actually live in the market every day. So they are looking to get an edge and basically build trade ideas on the crypto market on a daily basis.
[00:01:34.28] - Speaker 1 But we've also expanded our swing trading models and option flow intelligence to cover crypto space. So if you are a swing trader or if you are simply a long term crypto investor that want to understand where the crypto market is going and where the flow is going, you can also use this tool to potentially formulate a trade idea for a longer time horizon and longer holding period. Right. So swing traders, day traders, we can cover all of those use cases.
[00:02:11.00] - Speaker 1 Let's go into our coverage. So we cover a variety of coins and the coverage is just growing. So as as long as the crypto market and the derivatives market expands, we're also going to add more and more coins. But it's very, very important that we are focusing mostly on the illiquid coins and focus on the data because we want to provide actionable tools. The that's why we are focusing also on three main exchanges, Deribit, Binance, OkX.
[00:02:42.06] - Speaker 1 And the reason why we do that is because probably 95 plus percent of the derivatives flow goes through those exchanges. So those are reliable sources that can give us an idea of where the derivatives market on the crypto space is going. So within the platform you'd be able to access data on all those three exchanges and this multi exchange picture. Can really help us shape the understanding of the crypto market as well.
[00:03:13.28] - Speaker 1 So let's go into first our gamma models, right? So for those who are mentor queue customers, for those who have seen us on X, we provide gamma models on stocks, ETFs, indices and futures. And basically now you can access the same models on crypto. So we are looking at positioning, edging flows, volatility pressures, and basically our gamma models for crypto reveal these hidden forces, bringing institutional level insights to the fast evolving market and digital asset space. It's built on our proven option theory and derivatives data.
[00:03:55.06] - Speaker 1 And these models can help you really design, define, support and resistance zones, liquidity pockets and potential squeeze points on the crypto space. We are also one of the first companies to bring this level of insights to the crypto space. So today, very, very excited and obviously as the crypto markets mature, we're not just adapting, but we are really at the forefront of the crypto intelligence space because we are very excited and we are already bringing these models to life for all our assets. Shortly we will also give you a demonstration of the platform. But before we do that, let's go into what we also provide, which is of course our gamma levels.
[00:04:41.22] - Speaker 1 So if you are a trend view user, if you are a NinjaTrader user, you can now access our gamma levels on crypto directly into the platform. The levels are already live and we're going to show you that also in the demo. But next we also develop our quant models, right? And why did we do that? So in the crypto market, the price action alone doesn't tell you the full story, right?
[00:05:09.25] - Speaker 1 There's a lot of volatility, it's a 24,7 market. And traditional indicators often fail and typically generates false signals because everybody's using them and they are ignoring of course, sentiments, flow dynamics and all of that. That's why we built our mentor queue crypto quant models, which is really a series of quantitative tools designed to provide traders with reliable market signals that are robust, data driven, data backed and adapted to the volatile market of crypto. So why we develop these models? Right?
[00:05:47.26] - Speaker 1 The goal is very simple. The goal is always the same. Help traders identify directional bias, momentum conditions and market sentiments without of course, falling into the trap of outdated indicators and of course emotional decision making. So a lot of traders are trading with emotions. Sometimes emotions take, take advantage and we are losing because we are simply relying on our emotional trading.
[00:06:16.17] - Speaker 1 We also wanted to create tools that link the crypto market to the traditional market and we have done so with some of these quant models, and we're going to go into the details very, very soon. So what we've done is we combine market structure knowledge, machine learning models, and deep understanding of institutional level frameworks to develop a quant layer that can help you complement our crypto gamma models together with our quantum models for crypto. So these models aren't just simple charts, they are like market interpretations that can give you a context and a confidence to act, especially when we are in a volatile regime, and especially in crypto, which is a very, very high risky environment. The models are three, and we're going to go into each one of them. We have our Q crypto risk on and off, our QRSI and our Q crypto direction.
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