WEBVTT -  The Hidden Formula Controlling Bitcoin’s Price!

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<v Speaker 1>If you've ever wondered what really drives bitcoin's price, there's

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<v Speaker 1>a formula for it, and it's more accurate than most

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<v Speaker 1>people realize. Now, this isn't a guess.

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<v Speaker 2>It's a framework built on data, global equity leverage, and

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<v Speaker 2>investor behavior, the same three forces that have quietly driven

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<v Speaker 2>every bitcoin boom and bus cycle. Now, once you understand this,

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<v Speaker 2>you're going to stop reacting to price and start positioning

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<v Speaker 2>ahead of it, because right now the signals say.

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<v Speaker 1>We're entering a new regime real quick. On Mark Mawson's twenty.

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<v Speaker 2>Sixteen, I've helped millions navigate bitcoin cycles using data, not hype.

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<v Speaker 2>I'm a partner at a leading bitcoin venture fund. I

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<v Speaker 2>advise companies building the future of finance on bitcoin, and

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<v Speaker 2>in this video, I'm going to walk you through the

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<v Speaker 2>same systems and the same signals that we use to

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<v Speaker 2>make decisions.

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<v Speaker 1>How you can use them too. Let's go all right,

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<v Speaker 1>so we're going to dig into the data here. Now.

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<v Speaker 2>In my companies with my team, I tell them always, look,

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<v Speaker 2>we're not in the guessing game, We're in the data game,

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<v Speaker 2>all right. Now, same with bitcoin. People ask me all

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<v Speaker 2>the time, should I buy now? Is there another dip coming.

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<v Speaker 2>I don't know. I'm not in the guessing game. Let's

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<v Speaker 2>look at the data and see what it says. Now,

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<v Speaker 2>what most people get wrong is they think there's this

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<v Speaker 2>illusion of chaos like either one. They look backwards to

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<v Speaker 2>the chart and go, wow, bitcoin looks very predictable. I

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<v Speaker 2>should just sell here and buy back here, so simple, right,

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<v Speaker 2>Or they think there's no way to know what's going on.

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<v Speaker 2>But what if it's something in the middle. Now, I

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<v Speaker 2>have this chart up right here. By the way, I'm

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<v Speaker 2>going to be using a lot of charts from Bitcoin

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<v Speaker 2>magazine Pro, i''ll be using a lot from Jamie Coutz

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<v Speaker 2>at Real Vision. I'm gonna be using a lot from

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<v Speaker 2>a lot of different places to show you that there's

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<v Speaker 2>a lot of places to get this data. I'll cover

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<v Speaker 2>that with you, okay, But we can look at the

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<v Speaker 2>history of bitcoin since twenty eleven and you can see

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<v Speaker 2>we have a high right here, and then it goes

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<v Speaker 2>all the way down low, and then it comes high

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<v Speaker 2>and goes low again, goes high and comes down low.

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<v Speaker 1>Now, of course it always trends up.

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<v Speaker 2>So if you just bought here and waited ten years,

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<v Speaker 2>but nobody can wait ten years.

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<v Speaker 1>So they're trying to buy here, sell here, buy here,

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<v Speaker 1>sell here, etc. Right, So it looks very chaotic.

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<v Speaker 2>So what some people do is they think, well, what

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<v Speaker 2>about if we use on chain data.

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<v Speaker 1>So we're going to go through this.

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<v Speaker 2>So there's some on chain indicators that we can look

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<v Speaker 2>at to help us understand the way bitcoin moves. We

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<v Speaker 2>look at technical analysis. A lot of people think technical

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<v Speaker 2>analysis is the way to go, and so you know, well,

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<v Speaker 2>we have to look at the five repeating patterns and

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<v Speaker 2>have to repeats then it consolidates. Here it right, So

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<v Speaker 2>there's like I call it reading the tea leaves. They

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<v Speaker 2>think they can do that. However, for most people this

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<v Speaker 2>is like technical analysis. More like this. Yeah, you can't

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<v Speaker 2>make sense of that, right. So maybe it's on chain indicators,

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<v Speaker 2>maybe it's technical analysis, maybe it's macro trends. Okay, all

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<v Speaker 2>of those are important. We want to be looking at

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<v Speaker 2>all of those. Of course I talk about macro topics

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<v Speaker 2>all the time. But what if the boom, the bitcoin

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<v Speaker 2>boom always begins with three different data points. And if

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<v Speaker 2>we understand these three data points and how to look

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<v Speaker 2>at them, then we can figure out how to navigate

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<v Speaker 2>the bitcoin cycles. Okay, well do you want to know

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<v Speaker 2>what those are? Let's break them down now. I call

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<v Speaker 2>this the hidden engine. Now, the hidden engine is what

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<v Speaker 2>I'm calling a formula, a formula of how to understand

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<v Speaker 2>this all right, Now, I'm just gonna stay real quick.

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<v Speaker 2>Disclaimer again, nobody knows the tops or the bottoms until

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<v Speaker 2>you're looking backwards.

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<v Speaker 1>What we can figure out.

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<v Speaker 2>Is when things get over bought, over sold. We do

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<v Speaker 2>know when they're expensive or when they're cheap, and that's

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<v Speaker 2>what we're going to look at here.

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<v Speaker 1>Okay, So the.

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<v Speaker 2>First thing is that the old sort of driven model

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<v Speaker 2>of sort of bitcoin's forecast its future was either network

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<v Speaker 2>effects from Metcalf's law SOT. Metcalf's law says that as

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<v Speaker 2>each node, as we continue to add nodes, we multiply

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<v Speaker 2>the power of the network. So like one phone's not

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<v Speaker 2>very valuable if no one else in the world has

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<v Speaker 2>a phone, but if everyone has a phone, the phone's

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<v Speaker 2>more viable. Read's law is very similar, except for now

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<v Speaker 2>it's not just the nodes, but it's then the multiplication

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<v Speaker 2>of those nodes down below, so it's more exponential. But

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<v Speaker 2>that's sort of the old model. The new models we

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<v Speaker 2>have are a little bit different. So we're going to

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<v Speaker 2>break it down to three.

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<v Speaker 1>Fuel.

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<v Speaker 2>This is the global liquidity, and there's two ways we

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<v Speaker 2>have to look at this, GLI and GRS.

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<v Speaker 1>Okay, I'm gonna break those down. And this has about moves.

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<v Speaker 2>About seventy five percent of bitcoins moves are driven by

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<v Speaker 2>these two things.

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<v Speaker 1>Now, that's the fuel.

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<v Speaker 2>Then we have the pedals, the gas and the brake,

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<v Speaker 2>and that's really the leverage that goes into the system.

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<v Speaker 2>And then we have the valves, the blow off valves,

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<v Speaker 2>the reliefs valves, and this is the profitability behavior. And

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<v Speaker 2>we can look at this through on chain data. All right,

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<v Speaker 2>we're gonna break all this down. Buckle up, turn off

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<v Speaker 2>all your distractions, get a notepad, write this down.

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<v Speaker 1>Let's go. All right, So the first thing is the fuel.

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<v Speaker 1>This is what feeds the engine. All right, we're talking

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<v Speaker 1>about GLI and GLS. Now, a lot of people get

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<v Speaker 1>this wrong, so let me break it down for you.

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<v Speaker 2>GLI stands for global liquidity, global equity. Now where a

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<v Speaker 2>lot of people get this wrong is they look at

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<v Speaker 2>USM two.

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<v Speaker 1>But we're talking about global.

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<v Speaker 2>Bitcoin is a commodity, it's a global asset, and we

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<v Speaker 2>want to look at the global liquity. Now, I believe

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<v Speaker 2>the absolute master in this game is Michael How. I

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<v Speaker 2>reference his work all the time. He writes a newsletter

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<v Speaker 2>called Capital Wars. It's a paid subscription. I'm gonna be

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<v Speaker 2>referencing a lot of stuff from paid subscriptions that I

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<v Speaker 2>have because I pay for data. You might want to

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<v Speaker 2>pay for data as well Capital Wars Michael How or

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<v Speaker 2>you can just continue to subscribe it to my channel

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<v Speaker 2>and I'll break it down for you. But he talks

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<v Speaker 2>about the impact of global liquidity. He says, the biggest

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<v Speaker 2>and most direct impact comes from global liquity. It seems

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<v Speaker 2>like we should be paying attention to it. Let me

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<v Speaker 2>let me tell you why. All right, So we don't

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<v Speaker 2>want money, We want goods and services. Goods and services

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<v Speaker 2>a wealth. So when the government prints more money sends

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<v Speaker 2>it out a stemmy, that doesn't make more wealth.

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<v Speaker 1>They can't print wealth. So what we really have is

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<v Speaker 1>all the money.

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<v Speaker 2>Of the world divided by all the goods and services

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<v Speaker 2>of the world. As they print more money, the value

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<v Speaker 2>or the price of those goods and services go up.

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<v Speaker 1>So if we look at liquidity.

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<v Speaker 2>As they increase it, then we know that it has

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<v Speaker 2>to go somewhere, and it's going to go into these assets.

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<v Speaker 1>They're going to go up. That's why it's the driver. Okay,

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<v Speaker 1>this is the leading indicator, not a lagging indicator. Okay.

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<v Speaker 1>So he says it's the most important thing global equity.

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<v Speaker 2>He says that bitcoin is not a substitute for global equity,

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<v Speaker 2>not a substitute.

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<v Speaker 1>But rather it's a barometer.

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<v Speaker 2>So it's a way to read it, a way to

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<v Speaker 2>gauge it right, way to tell us what's going on.

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<v Speaker 1>What's more, is it is a truly global asset.

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<v Speaker 2>Again, Bitcoin is a global asset, so we can see

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<v Speaker 2>what's going on with India and China and Japan, not

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<v Speaker 2>just the United States. Whether China prints money or the

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<v Speaker 2>US FED inject's liquidity. Either way, the price of bitcoin

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<v Speaker 2>should rise. It's the most sensitive asset to global liquidity,

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<v Speaker 2>all right. It's like a sponge, just soaks it up.

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<v Speaker 2>A little bit more from Michael Howe again the king

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<v Speaker 2>of global equity in my mind. In this article is

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<v Speaker 2>a two P series. He was writing Bitcoin and global liquidity.

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<v Speaker 2>He says that debt denominates wh're talking about global equity.

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<v Speaker 2>A lot of people want to know what is it

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<v Speaker 2>and where you go wrong is just looking at M two.

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<v Speaker 2>It's a very rough way to look at it. But

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<v Speaker 2>because we're in a debt based monetary system, all money

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<v Speaker 2>is created through debt issuance, debt creation, So we want

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<v Speaker 2>to be looking at debt. Okay, So we want to

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<v Speaker 2>look at the money, Yes, we want to look at

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<v Speaker 2>the availability of credit, the availability the ability.

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<v Speaker 1>For central banks to create more money. Okay. So it's

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<v Speaker 1>that debt dominates.

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<v Speaker 2>So what he's saying here is that currently in our system,

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<v Speaker 2>in this debt based monetary system, debt never gets paid,

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<v Speaker 2>it never gets extinguished, instead refinancing existing debts. So we

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<v Speaker 2>always refinance, if we kick the can down the road,

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<v Speaker 2>refinancing an existing debt. With about seventy five percent of

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<v Speaker 2>transactions now involving debt rollovers, this creates a dependency on collateral.

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<v Speaker 2>This is why we can have no deflation when debt

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<v Speaker 2>is issued. So money is created through debt issues. The

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<v Speaker 2>debt is the asset, The dollars are the liability, the debt.

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<v Speaker 1>Is the asset.

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<v Speaker 2>So the debt becomes the asset or collateral for more debt.

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<v Speaker 2>That's what he's saying right here. So we have to

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<v Speaker 2>roll the debt over. We can't pay the debt off

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<v Speaker 2>because it's collateral for more debt, so it has to

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<v Speaker 2>get rolled over. It creates a dependency on collateral. We

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<v Speaker 2>can't have a deflation, it says I e. Global liquidity.

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<v Speaker 2>The financial system is trapped in a debt refinancing loop.

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<v Speaker 1>So we're trapped. We have to.

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<v Speaker 2>Continue to roll it over. And in order to roll

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<v Speaker 2>it over, we have to create more of it. Right,

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<v Speaker 2>we're trapped in the system. There's two ways out. We

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<v Speaker 2>continue forward inflating the system in a debt based monetary system,

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<v Speaker 2>or we let the whole thing collapse and crash and

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<v Speaker 2>we start over. Now, there's no politician in the world,

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<v Speaker 2>or banker or elite or whoever that may have any controller, say,

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<v Speaker 2>is going to allow this system to crash and see

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<v Speaker 2>what happens next. It's always going to be continued. That's

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<v Speaker 2>why we're trapped in the system. Policy makers need to

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<v Speaker 2>continually expand liquidity.

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<v Speaker 1>Right, so all those doomers.

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<v Speaker 2>Out there that are calling for this market crash, they

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<v Speaker 2>don't understand the basics of the system that we're in. Okay,

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<v Speaker 2>let's go a little bit deeper and now Michael Hole

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<v Speaker 2>uses these charts.

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<v Speaker 1>I use them all the time, so you probably recognize these.

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<v Speaker 2>This is the global equity going back to twenty twenty one.

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<v Speaker 1>So it went up and then.

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<v Speaker 2>We had this big crash here in twenty twenty two.

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<v Speaker 2>October twenty two was when we were in like that

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<v Speaker 2>bear market. Everybody's saying the world's going to end, the markets,

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<v Speaker 2>we're all crashing down. I started making videos saying there's

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<v Speaker 2>no market crash coming. Here's why, And it was because

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<v Speaker 2>of this liquidity cycle starting now. You can see here

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<v Speaker 2>is just since this year, and we've had a big

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<v Speaker 2>run up in global equity this year as well. Again,

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<v Speaker 2>these charts are from Michael Howe. Okay, now here's another

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<v Speaker 2>chart on global equity. I mean, you can just go

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<v Speaker 2>Google searches and find any number of charts. I like

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<v Speaker 2>this one here because it kind of shows us a

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<v Speaker 2>couple different levels here. So in the green right here

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<v Speaker 2>is the global M two growth. The blue line is

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<v Speaker 2>the global M two supply, the money supply, and then

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<v Speaker 2>we're overlaying it with the orange of the red line,

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<v Speaker 2>which is the bitcoin price.

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<v Speaker 1>And so what the green is is the year over

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<v Speaker 1>year change.

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<v Speaker 2>So you can see We've had this massive print of

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<v Speaker 2>global equity.

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<v Speaker 1>During the pandemic right twenty twenty twenty twenty one, and.

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<v Speaker 2>So this pushed the p of these assets sky high.

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<v Speaker 2>Global equity went up, the bitcoin price went up because

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<v Speaker 2>of this massive volume here. Then we had this big

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<v Speaker 2>draw down both in global liquidity and in the bitcoin price,

0:10:11.640 --> 0:10:15.240
<v Speaker 2>coming down as the year over year month over month.

0:10:15.240 --> 0:10:16.760
<v Speaker 1>Changed and liquidy drained out.

0:10:16.960 --> 0:10:19.640
<v Speaker 2>And you can see here it's starting to pick back up,

0:10:20.000 --> 0:10:22.200
<v Speaker 2>and of course both of them are turning back up,

0:10:22.280 --> 0:10:24.240
<v Speaker 2>so you can start to see the correlation of this.

0:10:24.440 --> 0:10:26.320
<v Speaker 2>I've done a bunch of videos on this, and you

0:10:26.400 --> 0:10:28.760
<v Speaker 2>have to understand it's also important to realize it has

0:10:28.800 --> 0:10:31.280
<v Speaker 2>somewhere between like an eight to twelve week lag. Most

0:10:31.320 --> 0:10:34.360
<v Speaker 2>people just consider it three months or ninety days. Okay,

0:10:34.440 --> 0:10:36.679
<v Speaker 2>so that's the global liquidity. Here's the chart on Trading

0:10:36.760 --> 0:10:38.040
<v Speaker 2>View again. I just want to show you can get

0:10:38.080 --> 0:10:40.760
<v Speaker 2>these charts from anywhere. I like to pay for my information.

0:10:40.880 --> 0:10:42.719
<v Speaker 2>It's a much faster, easier way to get it.

0:10:42.840 --> 0:10:43.959
<v Speaker 1>But this is just Trading View.

0:10:43.960 --> 0:10:45.920
<v Speaker 2>This is my charting software, and you can see the

0:10:45.960 --> 0:10:49.040
<v Speaker 2>bitcoin price and global liquity, and you can.

0:10:48.920 --> 0:10:52.560
<v Speaker 1>See how closely tied they are together. So these are

0:10:52.559 --> 0:10:55.480
<v Speaker 1>the leading indicators. Okay, global equity. Now the next thing

0:10:55.520 --> 0:10:56.360
<v Speaker 1>we have to understand.

0:10:56.920 --> 0:11:02.280
<v Speaker 2>Remember the fuel is the Global Risk Score, call that GRS. Now,

0:11:02.320 --> 0:11:03.760
<v Speaker 2>this is where we start to get into some of

0:11:03.800 --> 0:11:06.680
<v Speaker 2>the predictive power of what these things tell us, because

0:11:06.720 --> 0:11:10.080
<v Speaker 2>again we're looking for leading data, not lagging tell us

0:11:10.120 --> 0:11:12.360
<v Speaker 2>what already happened. We want leading data tell us what's

0:11:12.440 --> 0:11:15.280
<v Speaker 2>going to happen. Okay, Now these charts are from Jamie

0:11:15.320 --> 0:11:18.480
<v Speaker 2>Counts over at Real Vision. He's an absolute master in these.

0:11:19.240 --> 0:11:22.920
<v Speaker 2>And this is the Global Liquidity Index GLI. And when

0:11:22.920 --> 0:11:25.480
<v Speaker 2>he's talking about the GRS or the Global Risk Score.

0:11:25.840 --> 0:11:29.080
<v Speaker 2>So the Global Riskcore attracts how far biquin's price deviates

0:11:29.120 --> 0:11:31.840
<v Speaker 2>from its liquidity. So if the liquid is driving it up,

0:11:32.200 --> 0:11:34.559
<v Speaker 2>the risk is when it starts to deviate away from

0:11:34.600 --> 0:11:35.040
<v Speaker 2>the liquidity.

0:11:35.080 --> 0:11:35.840
<v Speaker 1>That's what this tracks.

0:11:36.160 --> 0:11:40.199
<v Speaker 2>It's implied fair value based on a regression model regression

0:11:40.960 --> 0:11:44.000
<v Speaker 2>from the liquidy. It says here it shifts GLI Global

0:11:44.000 --> 0:11:48.319
<v Speaker 2>Liquidity from being just a macro backdrop to an actively

0:11:48.520 --> 0:11:50.720
<v Speaker 2>usable risk management tool.

0:11:51.400 --> 0:11:52.120
<v Speaker 1>So for risk.

0:11:51.960 --> 0:11:54.600
<v Speaker 2>Management, the most amateur investors just think about how much

0:11:54.600 --> 0:11:56.679
<v Speaker 2>money can I make? Tell me the hot crypto to

0:11:56.760 --> 0:11:58.600
<v Speaker 2>buy right, and they just want to buy it yolo

0:11:58.720 --> 0:12:00.439
<v Speaker 2>in hopefully you know, aross their fingers.

0:12:00.440 --> 0:12:01.480
<v Speaker 1>They make money.

0:12:01.600 --> 0:12:03.960
<v Speaker 2>But professional investors always want to think about the risk.

0:12:04.080 --> 0:12:08.000
<v Speaker 2>That's the name hedge funds, like hedge hedging, the positions.

0:12:08.000 --> 0:12:10.160
<v Speaker 2>It's always about risk, and so we want to use

0:12:10.200 --> 0:12:12.960
<v Speaker 2>this as a risk management tool. Even when I'm going

0:12:13.040 --> 0:12:15.520
<v Speaker 2>long to make money, I need to know how big

0:12:15.559 --> 0:12:18.360
<v Speaker 2>I should bet, how long I should go based off

0:12:18.400 --> 0:12:20.800
<v Speaker 2>of the risk of that cycle. And that's exactly what

0:12:20.840 --> 0:12:22.160
<v Speaker 2>this is going to break down for. So let me

0:12:22.160 --> 0:12:23.839
<v Speaker 2>show you what we're talking about. Okay, Now, the first

0:12:23.880 --> 0:12:27.360
<v Speaker 2>thing we have to understand is that liquidity, like most

0:12:27.400 --> 0:12:30.160
<v Speaker 2>things and moves in cycles. I talk about cycles all

0:12:30.160 --> 0:12:32.160
<v Speaker 2>the time, Okay, So what we can see, and in

0:12:32.160 --> 0:12:35.200
<v Speaker 2>this case we're calling them regimes, is we can see

0:12:35.200 --> 0:12:38.960
<v Speaker 2>that this liquidity moves up and then it consolidates in

0:12:39.000 --> 0:12:42.960
<v Speaker 2>a pattern. Why I've done a bunch of videos on this,

0:12:43.240 --> 0:12:45.520
<v Speaker 2>but it's because the debt has to get rolled over.

0:12:45.880 --> 0:12:48.120
<v Speaker 2>It's about an average of four year cycles of debt.

0:12:48.720 --> 0:12:51.720
<v Speaker 2>On year three, we start running out of liquidity until.

0:12:51.480 --> 0:12:53.920
<v Speaker 1>The next tron just put in. Then we're off to

0:12:53.920 --> 0:12:54.840
<v Speaker 1>the races for the next four year.

0:12:54.880 --> 0:12:58.000
<v Speaker 2>So we have this upcycle liquidity, we have a consolidation

0:12:58.120 --> 0:12:58.640
<v Speaker 2>pattern and.

0:12:58.600 --> 0:12:59.600
<v Speaker 1>Here is the breakout.

0:13:00.640 --> 0:13:03.680
<v Speaker 2>This breakout puts us into the next super Bowl cycle.

0:13:04.080 --> 0:13:06.800
<v Speaker 2>And now we take off, we go into a consolidation

0:13:06.920 --> 0:13:09.680
<v Speaker 2>right here, and then we break out consolidation right here.

0:13:10.000 --> 0:13:11.280
<v Speaker 1>And the reason why I'm showing.

0:13:11.040 --> 0:13:14.880
<v Speaker 2>You this is because we're sitting right here, right now

0:13:15.200 --> 0:13:19.880
<v Speaker 2>on the third breakout. Now, if you're an elementary kid

0:13:19.920 --> 0:13:24.319
<v Speaker 2>looking at patterns, we have a consolidation breakout, consolidation breakout. Here,

0:13:24.320 --> 0:13:26.880
<v Speaker 2>We've had a consolidation and we're breaking out. What do

0:13:26.880 --> 0:13:30.320
<v Speaker 2>you think happens next? Well, if you see this arrow

0:13:30.320 --> 0:13:32.800
<v Speaker 2>shooting up, you would be exactly right. But again we

0:13:32.840 --> 0:13:35.600
<v Speaker 2>want to understand one. We're in this breakout of this

0:13:35.640 --> 0:13:37.800
<v Speaker 2>regime shift, but we want to look at the risk.

0:13:38.040 --> 0:13:41.160
<v Speaker 1>Okay, so how does this work? Again? This is from

0:13:41.240 --> 0:13:41.880
<v Speaker 1>Jamie Coutch.

0:13:42.040 --> 0:13:45.600
<v Speaker 2>This is a global equity risk score and basically we

0:13:45.679 --> 0:13:50.200
<v Speaker 2>have five levels level one, level two, level three, level four.

0:13:50.200 --> 0:13:51.960
<v Speaker 1>And level five. You can see that.

0:13:52.559 --> 0:13:55.880
<v Speaker 2>And this is overlaid with the price of bitcoin going

0:13:55.920 --> 0:13:58.720
<v Speaker 2>back here to twenty seventeen, and of course this is

0:13:58.760 --> 0:14:02.040
<v Speaker 2>current right here. So what this shows us, right now

0:14:02.480 --> 0:14:05.480
<v Speaker 2>is that we are currently at level three.

0:14:05.640 --> 0:14:06.840
<v Speaker 1>Which is basically neutral.

0:14:07.280 --> 0:14:10.840
<v Speaker 2>Basically neutral, right, we're not at the bitcoin lows right

0:14:10.880 --> 0:14:12.760
<v Speaker 2>here where we're back here when we are.

0:14:12.720 --> 0:14:13.240
<v Speaker 1>Only at one.

0:14:13.720 --> 0:14:16.640
<v Speaker 2>We've come up a lot in the bitcoin price, but

0:14:16.679 --> 0:14:18.840
<v Speaker 2>we're only at level three, a neutral score.

0:14:18.960 --> 0:14:20.760
<v Speaker 1>We're not at five yet.

0:14:20.960 --> 0:14:22.800
<v Speaker 2>What does that tell us, Well, it tells us we're

0:14:22.960 --> 0:14:25.360
<v Speaker 2>sort of like a medium risk. We're not the lowest

0:14:25.440 --> 0:14:28.080
<v Speaker 2>risk ever, but we're nowhere near the top either. So

0:14:28.120 --> 0:14:31.800
<v Speaker 2>what this tells us is potentially bitcoin has a lot

0:14:31.880 --> 0:14:34.400
<v Speaker 2>of room to go up from this one hundred thousand

0:14:34.440 --> 0:14:36.760
<v Speaker 2>dollars price point that we're in before we start getting

0:14:36.800 --> 0:14:39.600
<v Speaker 2>into level four level five risk. Now, even when we

0:14:39.600 --> 0:14:41.880
<v Speaker 2>get into level five, we can keep going for a

0:14:41.880 --> 0:14:42.400
<v Speaker 2>long time.

0:14:42.480 --> 0:14:45.080
<v Speaker 1>These do not predict absolute tops.

0:14:45.240 --> 0:14:47.040
<v Speaker 2>They only know let us know when things are cheap

0:14:47.880 --> 0:14:50.440
<v Speaker 2>level one or expensive level five.

0:14:50.480 --> 0:14:50.760
<v Speaker 1>That's it.

0:14:50.920 --> 0:14:52.840
<v Speaker 2>So you can see here we hit level five, but

0:14:52.880 --> 0:14:55.440
<v Speaker 2>look how long I continue on to that pattern? So

0:14:55.520 --> 0:14:58.280
<v Speaker 2>this is one thing. But again in this risk score,

0:14:58.400 --> 0:15:01.360
<v Speaker 2>we're only at level three. Okay, there's a lot more

0:15:01.360 --> 0:15:02.680
<v Speaker 2>to go over, so let's keep going.

0:15:03.520 --> 0:15:06.400
<v Speaker 1>All right. Now, we talked about the fuel for the engine.

0:15:06.800 --> 0:15:08.920
<v Speaker 2>Now we want to talk about the accelerator and the

0:15:08.920 --> 0:15:11.880
<v Speaker 2>brake pedals. So now the fuel's in the cars going,

0:15:11.920 --> 0:15:13.200
<v Speaker 2>how do we control this, How do we speed it

0:15:13.240 --> 0:15:15.240
<v Speaker 2>up or how do we slow it down? Okay, this

0:15:15.320 --> 0:15:17.560
<v Speaker 2>is the leverage or the drs.

0:15:17.880 --> 0:15:19.200
<v Speaker 1>Okay, this is the derivative market.

0:15:19.440 --> 0:15:22.520
<v Speaker 2>This is all the bets, all the side bets that

0:15:22.560 --> 0:15:24.000
<v Speaker 2>are happening on bitcoin.

0:15:24.160 --> 0:15:25.600
<v Speaker 1>So in the old days, we just looked at bitcoin,

0:15:25.640 --> 0:15:27.240
<v Speaker 1>look at the network effects, looked at the.

0:15:27.160 --> 0:15:29.560
<v Speaker 2>On chain data, the number of addresses growing, the number

0:15:29.600 --> 0:15:31.720
<v Speaker 2>of walls holding one or more bitcoin, things like that.

0:15:32.160 --> 0:15:35.320
<v Speaker 2>But now we have derivatives. Now, derivatives are again where

0:15:35.320 --> 0:15:37.600
<v Speaker 2>I can bet on the side of where the price

0:15:37.680 --> 0:15:41.560
<v Speaker 2>is going. Leverage bets, leverage, longs, leverage, shorts.

0:15:41.280 --> 0:15:41.960
<v Speaker 1>All those things.

0:15:42.600 --> 0:15:47.880
<v Speaker 2>The derivatives make up three to five times the total

0:15:48.040 --> 0:15:51.560
<v Speaker 2>volume of bitcoin. So just looking at on chain data

0:15:51.560 --> 0:15:55.080
<v Speaker 2>alone today doesn't really give us the total picture. It's great,

0:15:55.120 --> 0:15:57.200
<v Speaker 2>we should definitely be holding bitcoin on chaining in your

0:15:57.200 --> 0:15:59.720
<v Speaker 2>cold storage, but if we really want to understand price action,

0:15:59.840 --> 0:16:03.200
<v Speaker 2>we have to go back and look at the derivative market. Now,

0:16:03.280 --> 0:16:05.000
<v Speaker 2>what we can see is that in March of twenty

0:16:05.080 --> 0:16:09.160
<v Speaker 2>twenty four, the derivative market was about seventy five percent

0:16:09.880 --> 0:16:12.920
<v Speaker 2>of the bitcoin price action. Now again this goes back

0:16:12.920 --> 0:16:15.480
<v Speaker 2>to about twenty twenty and it comes to current And

0:16:15.520 --> 0:16:19.240
<v Speaker 2>what this shows us is these derivatives bets going higher

0:16:19.320 --> 0:16:23.160
<v Speaker 2>and then the red is going lower, going higher, going lower.

0:16:23.160 --> 0:16:26.520
<v Speaker 2>And of course as the derivative action is going higher,

0:16:26.680 --> 0:16:30.280
<v Speaker 2>what happens to the price action goes up When the

0:16:30.320 --> 0:16:33.240
<v Speaker 2>derivative market is coming down, then of course we have

0:16:33.360 --> 0:16:36.400
<v Speaker 2>down action. We had this long consolidation period when there

0:16:36.400 --> 0:16:38.600
<v Speaker 2>wasn't a whole lot of derivative action going on. Here

0:16:38.640 --> 0:16:40.560
<v Speaker 2>we have the increased derivative action. You can see we're

0:16:40.600 --> 0:16:42.560
<v Speaker 2>heading back up. And is we want to be looking

0:16:42.600 --> 0:16:45.920
<v Speaker 2>at this because again most of the price action is

0:16:45.920 --> 0:16:49.240
<v Speaker 2>happening there. It's what's creating a lot of rallies and crashes.

0:16:49.320 --> 0:16:50.760
<v Speaker 1>Why well, very.

0:16:50.600 --> 0:16:53.880
<v Speaker 2>Simply, markets stop going up when there's normal buyers, they

0:16:53.920 --> 0:16:56.400
<v Speaker 2>stop going down those normal sellers. And what happens with

0:16:56.440 --> 0:16:59.320
<v Speaker 2>the derivative traders. They're adding all this leverage under the system.

0:16:59.680 --> 0:17:02.840
<v Speaker 2>In a bull market, they're piling on, piling on, piling on,

0:17:02.880 --> 0:17:06.119
<v Speaker 2>which pushes it up even faster than normally would. But

0:17:06.200 --> 0:17:08.680
<v Speaker 2>also when it's going down, not only are people exiting,

0:17:09.200 --> 0:17:11.400
<v Speaker 2>but they're also starting to pile on the shorts, which

0:17:11.440 --> 0:17:13.440
<v Speaker 2>pushes it down even further, so it creates a lot

0:17:13.480 --> 0:17:18.760
<v Speaker 2>more volatility. But basically, the DRS this score, it quantifies

0:17:19.160 --> 0:17:21.840
<v Speaker 2>the excess that we have in the system. Again, this

0:17:21.920 --> 0:17:24.960
<v Speaker 2>charts from Jamie Coowts over at Real Vision, and this

0:17:25.160 --> 0:17:27.440
<v Speaker 2>is giving us the same type of a score again

0:17:27.760 --> 0:17:30.919
<v Speaker 2>level one, level two, level three, level four, level five.

0:17:31.720 --> 0:17:34.600
<v Speaker 2>So where are we in the derivvorous score.

0:17:34.880 --> 0:17:35.960
<v Speaker 1>Well, let's take a look.

0:17:36.119 --> 0:17:38.640
<v Speaker 2>What we can see is right now we're sitting at

0:17:38.640 --> 0:17:43.800
<v Speaker 2>about a two, not a one, not the lowest, certainly

0:17:43.880 --> 0:17:45.000
<v Speaker 2>nowhere near a five.

0:17:45.320 --> 0:17:47.119
<v Speaker 1>We're only at a level two.

0:17:47.240 --> 0:17:49.280
<v Speaker 2>So what this means is that the bitcoin price can

0:17:49.359 --> 0:17:52.840
<v Speaker 2>run way further up before we start getting too a

0:17:52.960 --> 0:17:56.359
<v Speaker 2>risky situation, not predicting the top, but getting close to that.

0:17:56.560 --> 0:17:58.960
<v Speaker 2>And as you can see, at a level two, we

0:17:59.080 --> 0:18:01.199
<v Speaker 2>have a long way for the bitcoin price to run

0:18:01.320 --> 0:18:03.480
<v Speaker 2>up from this risk adjusted model.

0:18:04.000 --> 0:18:06.919
<v Speaker 1>All right, that's two. We can keep going. Now we

0:18:07.040 --> 0:18:09.080
<v Speaker 1>have the valves. What are the blowoffs?

0:18:09.280 --> 0:18:12.760
<v Speaker 2>How does the market move when we have these other things? Well,

0:18:12.880 --> 0:18:17.240
<v Speaker 2>this is the network profitability, So this is gauging how

0:18:17.240 --> 0:18:19.720
<v Speaker 2>many people on the bitcoin network are in profit or

0:18:19.760 --> 0:18:23.159
<v Speaker 2>at a loss, because depending on where they're at with profitability,

0:18:23.359 --> 0:18:25.880
<v Speaker 2>we can start to guess and gauge what they might

0:18:25.920 --> 0:18:29.440
<v Speaker 2>do next. It drives their decision making. If I'm sitting

0:18:29.480 --> 0:18:32.520
<v Speaker 2>in a massive profit, I might want to scoop a

0:18:32.520 --> 0:18:33.280
<v Speaker 2>little cream.

0:18:33.040 --> 0:18:34.320
<v Speaker 1>Off the top right, I might want to sell a

0:18:34.359 --> 0:18:36.440
<v Speaker 1>little bit. If I'm sitting in a major loss, I

0:18:36.520 --> 0:18:38.920
<v Speaker 1>might try to hold until I get back into profitability.

0:18:39.480 --> 0:18:41.960
<v Speaker 2>And so what this does is we can look at

0:18:41.960 --> 0:18:44.479
<v Speaker 2>this and here's a couple on chain indicators here. So

0:18:44.520 --> 0:18:48.800
<v Speaker 2>these are ones from Bitcoin magazine. I recently did a

0:18:48.840 --> 0:18:51.680
<v Speaker 2>video where I talked about the five on chain indicators

0:18:51.680 --> 0:18:53.840
<v Speaker 2>that I like to watch the most. We'll link to

0:18:53.840 --> 0:18:55.520
<v Speaker 2>that and then the show description down below if you

0:18:55.520 --> 0:18:57.480
<v Speaker 2>want to go watch that video. But this is the

0:18:57.800 --> 0:19:00.960
<v Speaker 2>MVRV score. You've probably heard about this. It's the market

0:19:01.040 --> 0:19:03.879
<v Speaker 2>value versus the realized value. And so what you can

0:19:03.920 --> 0:19:06.920
<v Speaker 2>see here is the black line is the price of

0:19:07.000 --> 0:19:10.639
<v Speaker 2>bitcoin and this gold line here is the Z score.

0:19:10.920 --> 0:19:13.159
<v Speaker 2>So what you can see is when it shoots really high,

0:19:13.240 --> 0:19:15.639
<v Speaker 2>that was a bitcoin top shot really high. That was

0:19:15.680 --> 0:19:18.320
<v Speaker 2>a bitcoin top shot really high. That was a bitcoin

0:19:18.400 --> 0:19:19.320
<v Speaker 2>top But as you.

0:19:19.280 --> 0:19:23.440
<v Speaker 1>Can see we're nowhere near shooting all time high. We're

0:19:23.480 --> 0:19:24.120
<v Speaker 1>way down here.

0:19:24.240 --> 0:19:26.679
<v Speaker 2>So we need to see this go way up to here,

0:19:27.640 --> 0:19:30.960
<v Speaker 2>and this would go way up to here before that happens.

0:19:31.160 --> 0:19:33.760
<v Speaker 2>So again the indicators are telling us we're nowhere near

0:19:33.840 --> 0:19:36.560
<v Speaker 2>that level. Here's another on chain indicator that we can

0:19:36.600 --> 0:19:40.520
<v Speaker 2>look at. This is the net unrealized profit and loss.

0:19:40.600 --> 0:19:43.560
<v Speaker 2>So again this is showing how much profit people are

0:19:43.560 --> 0:19:47.160
<v Speaker 2>sitting on unrealized right. And again when this gets high

0:19:47.200 --> 0:19:49.200
<v Speaker 2>or low, it starts to show. So this got high

0:19:49.240 --> 0:19:51.960
<v Speaker 2>here at this top. This got really high at this top.

0:19:52.160 --> 0:19:54.840
<v Speaker 2>But here we are way down here. So this price

0:19:54.880 --> 0:19:56.960
<v Speaker 2>needs to come up, and this needs to come back

0:19:57.040 --> 0:20:00.199
<v Speaker 2>up somewhere right around there. Hey, don't worry, I'm going

0:20:00.240 --> 0:20:01.920
<v Speaker 2>to show you some predictions of price if you stick

0:20:01.920 --> 0:20:02.359
<v Speaker 2>around with me.

0:20:02.440 --> 0:20:04.920
<v Speaker 1>Okay, Another one we want to take a look at

0:20:05.200 --> 0:20:07.080
<v Speaker 1>is the spo R.

0:20:07.520 --> 0:20:11.600
<v Speaker 2>Now, the spo R is basically the spent output profit ratio.

0:20:11.880 --> 0:20:15.120
<v Speaker 2>And again when we see a high volume, this sort

0:20:15.160 --> 0:20:17.040
<v Speaker 2>of marks the top of cycles.

0:20:17.119 --> 0:20:19.320
<v Speaker 1>But again, look how low that volume is right now.

0:20:20.040 --> 0:20:23.160
<v Speaker 2>Again, these don't predict where we're going, but they help

0:20:23.240 --> 0:20:25.920
<v Speaker 2>us to understand when things are expensive or cheap.

0:20:25.960 --> 0:20:28.960
<v Speaker 1>Now, the NPRS is.

0:20:28.920 --> 0:20:31.360
<v Speaker 2>Basically taking all of these signals and put them together

0:20:31.440 --> 0:20:34.119
<v Speaker 2>in a single source to make it much easier. And

0:20:34.200 --> 0:20:36.320
<v Speaker 2>again this is from my friend Jamie Couch over at

0:20:36.560 --> 0:20:37.119
<v Speaker 2>Real Vision.

0:20:37.280 --> 0:20:38.320
<v Speaker 1>They do amazing work.

0:20:39.240 --> 0:20:41.879
<v Speaker 2>And so what we can see is the network Profitability

0:20:42.160 --> 0:20:44.639
<v Speaker 2>risk Score, and again sort of same framework. We have

0:20:44.720 --> 0:20:47.639
<v Speaker 2>level one, level two, level three, level four, and level

0:20:47.720 --> 0:20:51.600
<v Speaker 2>five five being the most risky, one being least. Where

0:20:51.640 --> 0:20:54.760
<v Speaker 2>are we today on this risk score? Well, right now

0:20:54.800 --> 0:20:57.480
<v Speaker 2>we're sitting right around about a two and a half

0:20:58.160 --> 0:21:02.119
<v Speaker 2>two point seven percent risk, so just below neutral, a

0:21:02.119 --> 0:21:04.879
<v Speaker 2>little bit less risky the neutral, which again means this

0:21:04.920 --> 0:21:07.119
<v Speaker 2>needs to run way higher in order for this to

0:21:07.200 --> 0:21:10.120
<v Speaker 2>run way higher. And so again we're well below We're

0:21:10.160 --> 0:21:13.400
<v Speaker 2>not at the lowest price levels ever. Obviously we've come

0:21:13.480 --> 0:21:16.399
<v Speaker 2>off this bottom all the way up. We're obviously not

0:21:16.560 --> 0:21:19.800
<v Speaker 2>here anymore, but we're nowhere near the top. Based off

0:21:19.800 --> 0:21:22.359
<v Speaker 2>of these things, it looks like this market has a

0:21:22.600 --> 0:21:24.719
<v Speaker 2>long way to go. You're gonna think of this as

0:21:24.760 --> 0:21:27.920
<v Speaker 2>like an emotional heartbeat, because again, like if I'm sitting

0:21:27.960 --> 0:21:29.880
<v Speaker 2>on a lot of profit, I'm probably going to take

0:21:29.920 --> 0:21:31.880
<v Speaker 2>some profits. Maybe I'll pay off my house or buy

0:21:31.960 --> 0:21:34.400
<v Speaker 2>something new, right, or if I'm if I'm at a loss,

0:21:34.400 --> 0:21:36.719
<v Speaker 2>I want to hold this. It plays with my emotions

0:21:36.960 --> 0:21:39.280
<v Speaker 2>and so it sort of gives us that leading indicator

0:21:39.440 --> 0:21:42.359
<v Speaker 2>of what the market may do. Okay, So the question

0:21:42.480 --> 0:21:44.280
<v Speaker 2>is if we combine all these where are we now?

0:21:44.320 --> 0:21:45.840
<v Speaker 1>And I've kind of already given that away.

0:21:45.960 --> 0:21:50.879
<v Speaker 2>If we add the grs, the drs, and the nprs together.

0:21:51.359 --> 0:21:51.919
<v Speaker 1>Where are we?

0:21:52.000 --> 0:21:55.639
<v Speaker 2>But what I haven't given away is based off historical returns,

0:21:56.280 --> 0:21:58.359
<v Speaker 2>where do we go from here? If we look at

0:21:58.440 --> 0:22:01.880
<v Speaker 2>past market cycles that we've seen this, what could potentially

0:22:02.320 --> 0:22:04.880
<v Speaker 2>happen from here on out? Let's take a look, all right,

0:22:04.920 --> 0:22:07.359
<v Speaker 2>So if we go back and we put all these

0:22:07.359 --> 0:22:11.320
<v Speaker 2>together again and combine them, what we can see is

0:22:11.320 --> 0:22:13.840
<v Speaker 2>we're right here in about two point six two point seven,

0:22:14.200 --> 0:22:16.679
<v Speaker 2>So that means we need to go a lot higher

0:22:16.720 --> 0:22:18.760
<v Speaker 2>here for this to come up a lot higher. Here,

0:22:19.520 --> 0:22:23.400
<v Speaker 2>we're already up quite a bit off the bottom. Doesn't

0:22:23.440 --> 0:22:26.960
<v Speaker 2>mean we're at the top. You have to understand market cycles, right,

0:22:27.200 --> 0:22:30.560
<v Speaker 2>So we're above right, we're at new all time highs,

0:22:30.800 --> 0:22:32.280
<v Speaker 2>but at the midpoint of.

0:22:32.200 --> 0:22:34.080
<v Speaker 1>The cycle, not at the top of the cycle like

0:22:34.080 --> 0:22:34.960
<v Speaker 1>we were last time.

0:22:34.960 --> 0:22:37.879
<v Speaker 2>We were there, So based off of the combined score,

0:22:38.359 --> 0:22:40.679
<v Speaker 2>we can see we're in about a neutral market.

0:22:40.720 --> 0:22:42.880
<v Speaker 1>Again, we're not anywhere near caution.

0:22:43.000 --> 0:22:44.919
<v Speaker 2>We're not at four, we're not a five, and that

0:22:45.000 --> 0:22:46.480
<v Speaker 2>sort of tells us that we have a long way

0:22:46.520 --> 0:22:50.640
<v Speaker 2>to go now based off of past performance, which again

0:22:50.680 --> 0:22:53.159
<v Speaker 2>is no guarantee of future performance, but based off of

0:22:53.240 --> 0:22:56.919
<v Speaker 2>past performance when we've seen these levels before, what is

0:22:56.960 --> 0:22:57.800
<v Speaker 2>bigcoin done?

0:22:58.040 --> 0:22:58.280
<v Speaker 1>Now?

0:22:58.359 --> 0:23:00.320
<v Speaker 2>If we look at each of these indicators on it own,

0:23:00.520 --> 0:23:03.240
<v Speaker 2>they all have different data, but if we combine the

0:23:03.320 --> 0:23:05.080
<v Speaker 2>three we get something different.

0:23:05.119 --> 0:23:05.439
<v Speaker 1>Okay.

0:23:05.520 --> 0:23:10.520
<v Speaker 2>So Network Profitability Risk Score NPRS performance and basically right

0:23:10.560 --> 0:23:11.360
<v Speaker 2>now we're sort.

0:23:11.160 --> 0:23:13.879
<v Speaker 1>Of in this neutral range. We're a little bit lower

0:23:13.880 --> 0:23:16.120
<v Speaker 1>than neutral, but let's just call it neutral for this

0:23:16.119 --> 0:23:16.760
<v Speaker 1>this exercise.

0:23:17.240 --> 0:23:19.960
<v Speaker 2>Okay, So what this says about almost sixty percent of

0:23:19.960 --> 0:23:23.120
<v Speaker 2>the time this has worked in thirty days, we'll see

0:23:23.200 --> 0:23:26.840
<v Speaker 2>eleven percent ninety days of forty five percent, one hundred

0:23:26.840 --> 0:23:31.960
<v Speaker 2>and eighty days a ninety six percent return double. Okay,

0:23:32.720 --> 0:23:36.200
<v Speaker 2>it's not guaranteed sixty percent, so that means it's a

0:23:36.320 --> 0:23:38.560
<v Speaker 2>base case. So what we want to do is we're

0:23:38.600 --> 0:23:39.600
<v Speaker 2>always looking at the odds.

0:23:39.600 --> 0:23:42.080
<v Speaker 1>Again. Poor mentality thinks about how much money can I

0:23:42.119 --> 0:23:43.000
<v Speaker 1>make and they go low end.

0:23:43.720 --> 0:23:48.880
<v Speaker 2>But smart money always makes structured strategic bets. How much

0:23:48.880 --> 0:23:51.400
<v Speaker 2>should I allocate, Well, depends on what my odds are.

0:23:51.800 --> 0:23:54.280
<v Speaker 2>If I have a ninety percent chance of winning the bet,

0:23:54.520 --> 0:23:55.600
<v Speaker 2>I'm going to bet more.

0:23:55.920 --> 0:23:58.480
<v Speaker 1>If I have a ten percent chance ten percent odds of.

0:23:58.440 --> 0:24:01.160
<v Speaker 2>Winning the bet, I'm gonna bet a very bit obviously, right,

0:24:01.240 --> 0:24:03.639
<v Speaker 2>if we want to understand the odds and what the

0:24:03.680 --> 0:24:07.320
<v Speaker 2>probabilities are, and based off of where we're at right now,

0:24:08.320 --> 0:24:10.320
<v Speaker 2>we have a long way to go, right, We have

0:24:10.480 --> 0:24:12.160
<v Speaker 2>a long way to go now.

0:24:13.080 --> 0:24:16.240
<v Speaker 1>Understanding this gives us new tools. But how do we

0:24:16.359 --> 0:24:19.000
<v Speaker 1>use all this? How do we use all this? Again?

0:24:19.080 --> 0:24:21.280
<v Speaker 2>So the first thing is this is not a crystal ball.

0:24:21.520 --> 0:24:24.480
<v Speaker 2>This doesn't predict the future. This doesn't tell us exactly

0:24:24.840 --> 0:24:26.680
<v Speaker 2>what bitcoin's price is going to be on what date

0:24:26.680 --> 0:24:27.200
<v Speaker 2>and one's.

0:24:27.000 --> 0:24:29.480
<v Speaker 1>Going to turn around. It doesn't tell us if there's

0:24:29.480 --> 0:24:31.400
<v Speaker 1>another big dip coming that you should wait to buy

0:24:31.400 --> 0:24:31.800
<v Speaker 1>the dip.

0:24:32.359 --> 0:24:35.159
<v Speaker 2>What it does tell us is if it's expensive or

0:24:35.160 --> 0:24:37.560
<v Speaker 2>if it's cheap. It does tell us if we're starting

0:24:37.600 --> 0:24:41.000
<v Speaker 2>to get overbought or over sold. It does tell us

0:24:41.080 --> 0:24:43.080
<v Speaker 2>maybe when we should be pressing in harder. Because the

0:24:43.119 --> 0:24:45.200
<v Speaker 2>odds are with us, or we might want to pull

0:24:45.240 --> 0:24:47.960
<v Speaker 2>back a little bit because the odds are against us. Now,

0:24:48.240 --> 0:24:51.479
<v Speaker 2>I would strongly advise against trying to time this and

0:24:51.640 --> 0:24:54.360
<v Speaker 2>sell out and buy back in because what happens. Let's

0:24:54.359 --> 0:24:58.560
<v Speaker 2>take twenty seventeen for example. In twenty seventeen, bitcoin ran

0:24:58.600 --> 0:25:01.760
<v Speaker 2>from one thousand to twenty thousand in one.

0:25:01.640 --> 0:25:06.040
<v Speaker 1>Year, okay, from twenty times. It's pretty amazing.

0:25:06.240 --> 0:25:09.560
<v Speaker 2>But if you were looking at these indicators around I

0:25:09.560 --> 0:25:11.879
<v Speaker 2>don't know, it was around four to five thousand, it

0:25:11.960 --> 0:25:13.720
<v Speaker 2>started flashing that it was at the top of the market,

0:25:13.760 --> 0:25:15.920
<v Speaker 2>it was overbought, it had gone up four or five times.

0:25:15.960 --> 0:25:18.359
<v Speaker 2>It's amazing. If you're a traditional investor, this is the

0:25:18.400 --> 0:25:20.800
<v Speaker 2>best returns you've ever seen in your life. And so

0:25:20.840 --> 0:25:23.080
<v Speaker 2>the indicators were showing it was very expensive, and so

0:25:23.119 --> 0:25:25.400
<v Speaker 2>if you're following that and trying to time the market,

0:25:25.440 --> 0:25:26.920
<v Speaker 2>you would have sold out, you would have cashed it,

0:25:28.080 --> 0:25:29.639
<v Speaker 2>and you would have missed the run from four or

0:25:29.720 --> 0:25:33.359
<v Speaker 2>five grand up to twenty grand. Now what happened is,

0:25:33.400 --> 0:25:35.960
<v Speaker 2>of course it crashed all the way back down, and

0:25:36.040 --> 0:25:37.720
<v Speaker 2>you were going to try to time the bottom. But

0:25:37.760 --> 0:25:39.800
<v Speaker 2>of course nobody wants to catch a falling knife, So

0:25:39.840 --> 0:25:42.160
<v Speaker 2>you're waiting for something to turn, some sentiment to turn.

0:25:42.359 --> 0:25:44.320
<v Speaker 1>The charts are turned to tell you when to start buying.

0:25:44.560 --> 0:25:48.000
<v Speaker 2>But bitcoin moved so violently that really quickly it moved higher,

0:25:48.160 --> 0:25:50.159
<v Speaker 2>and now you're buying back in at six or seven K.

0:25:50.680 --> 0:25:52.440
<v Speaker 2>So if you tried to sell out at four or five,

0:25:52.600 --> 0:25:54.440
<v Speaker 2>you missed this, and then you bought it at six

0:25:54.520 --> 0:25:55.200
<v Speaker 2>or seven.

0:25:55.359 --> 0:25:56.760
<v Speaker 1>You actually got behind.

0:25:57.040 --> 0:25:59.840
<v Speaker 2>Now, if you're like you know, whatever your circumstances, maybe

0:25:59.840 --> 0:26:01.680
<v Speaker 2>you're older, you're on a fixed income, you don't have

0:26:01.720 --> 0:26:02.400
<v Speaker 2>a long timeframe.

0:26:02.920 --> 0:26:04.679
<v Speaker 1>Maybe maybe the four or five times.

0:26:04.400 --> 0:26:05.919
<v Speaker 2>On your money was amazing. It was the best praturny

0:26:05.960 --> 0:26:08.520
<v Speaker 2>you've ever had in congratulations. And if you're just trying

0:26:08.520 --> 0:26:10.520
<v Speaker 2>to get more US dollars, you can trade it from

0:26:10.560 --> 0:26:12.680
<v Speaker 2>one to four, you can trade it from six to

0:26:12.720 --> 0:26:14.119
<v Speaker 2>twenty again, and you can.

0:26:13.960 --> 0:26:15.119
<v Speaker 1>Make that spread, and that's cool.

0:26:15.480 --> 0:26:17.960
<v Speaker 2>But if you're a long term bitcoin hoddler like I am,

0:26:18.200 --> 0:26:20.879
<v Speaker 2>and you expected to hit one million dollars by twenty thirty,

0:26:21.160 --> 0:26:21.879
<v Speaker 2>like I do.

0:26:22.080 --> 0:26:23.480
<v Speaker 1>Then I'm not trying to time this.

0:26:23.800 --> 0:26:25.600
<v Speaker 2>What I'm going to do is I'm gonna start adding

0:26:25.880 --> 0:26:30.400
<v Speaker 2>aggressively here so when it gets here, I'm not as

0:26:30.520 --> 0:26:33.160
<v Speaker 2>adding as aggressively. So I'm buying super heavy. Right here

0:26:33.680 --> 0:26:36.119
<v Speaker 2>around here, I start slowing down. Maybe I'm not going

0:26:36.200 --> 0:26:38.080
<v Speaker 2>to put any in. Maybe I'll just kind of wait.

0:26:38.240 --> 0:26:40.879
<v Speaker 2>I'm not selling, but I wait. Then when it starts

0:26:40.880 --> 0:26:42.960
<v Speaker 2>coming down right around here, I start deploying again.

0:26:43.040 --> 0:26:44.199
<v Speaker 1>I'm gonna buy all the.

0:26:44.200 --> 0:26:47.120
<v Speaker 2>Way through this dip. When it gets here, I start

0:26:47.119 --> 0:26:50.000
<v Speaker 2>waiting again. That's how I use this Now. We also

0:26:50.160 --> 0:26:52.240
<v Speaker 2>that's positioning versus chasing.

0:26:52.480 --> 0:26:54.440
<v Speaker 1>I'm not trying to predict. I'm not trying to time.

0:26:55.320 --> 0:26:59.919
<v Speaker 2>I'm positioning myself correctly to take full advantage of this cycle.

0:27:00.600 --> 0:27:02.240
<v Speaker 1>Again, we want to use tiered entries.

0:27:02.520 --> 0:27:04.840
<v Speaker 2>So again I'm not going to exit, but I'm not

0:27:04.880 --> 0:27:07.840
<v Speaker 2>going to do massive entries at the top of the market.

0:27:08.000 --> 0:27:10.800
<v Speaker 2>I'm going to I'll pause these entries here we're nowhere

0:27:10.840 --> 0:27:13.560
<v Speaker 2>near that yet, and then I'll start tearing in my

0:27:13.760 --> 0:27:16.960
<v Speaker 2>entries over here. We do this based off of conviction

0:27:17.440 --> 0:27:21.280
<v Speaker 2>weighted allocations. Remember the percentages, so based off.

0:27:21.119 --> 0:27:21.760
<v Speaker 1>Of where we're at.

0:27:21.800 --> 0:27:24.320
<v Speaker 2>As we're starting to get more expensive here, as the

0:27:24.400 --> 0:27:26.880
<v Speaker 2>odds the percentages are coming down, it's less so it's

0:27:26.960 --> 0:27:31.320
<v Speaker 2>conviction weighted allocations. Another thing about to take talking about

0:27:31.320 --> 0:27:33.640
<v Speaker 2>in this video is the treasury stacking. So now there's

0:27:33.920 --> 0:27:37.360
<v Speaker 2>this new breed of treasury companies, Bitcoin Treasury companies. Micro

0:27:37.400 --> 0:27:40.800
<v Speaker 2>Strategy launched it, Metaplanet, all matatoral these other ones that

0:27:40.840 --> 0:27:43.680
<v Speaker 2>are blowing up, and you might want to consider stacking

0:27:43.720 --> 0:27:45.480
<v Speaker 2>into some of these as well. If you're going to

0:27:45.480 --> 0:27:47.119
<v Speaker 2>break down a whole video on that, let me know

0:27:47.520 --> 0:27:51.960
<v Speaker 2>down in the comments. Okay, so I do want to

0:27:52.000 --> 0:27:55.520
<v Speaker 2>just press on something here. This is not static, Okay,

0:27:55.880 --> 0:27:58.560
<v Speaker 2>these charts the change. This is dynamic.

0:27:58.640 --> 0:27:59.280
<v Speaker 1>It's moving.

0:27:59.560 --> 0:28:01.159
<v Speaker 2>So if you're looking at any type of indicator a

0:28:01.200 --> 0:28:04.199
<v Speaker 2>two hundred moving to average, for example, it's moving with

0:28:04.280 --> 0:28:04.720
<v Speaker 2>the price.

0:28:05.000 --> 0:28:07.000
<v Speaker 1>So you can't go off of what we just said.

0:28:07.119 --> 0:28:08.720
<v Speaker 2>That's why we can't predict the top or we can't

0:28:08.720 --> 0:28:11.080
<v Speaker 2>predict a time because these are moving. So what we're

0:28:11.080 --> 0:28:14.680
<v Speaker 2>doing is we're seeing the signs as it developed. Now

0:28:14.720 --> 0:28:18.960
<v Speaker 2>the cycles are not random. They happen in proper sequence,

0:28:19.160 --> 0:28:21.640
<v Speaker 2>but not to the exact time or date. But it's

0:28:21.680 --> 0:28:23.679
<v Speaker 2>always going to be the same thing. It's always going

0:28:23.720 --> 0:28:26.840
<v Speaker 2>to be liquidity that's the leading indicator. It's always going

0:28:26.880 --> 0:28:28.919
<v Speaker 2>to be leverage built up in this system. That's the

0:28:28.960 --> 0:28:31.200
<v Speaker 2>derivatives and it's always going to be the human emotion

0:28:32.000 --> 0:28:36.600
<v Speaker 2>because we drive humans. We're driven by pleasure, greed, and

0:28:36.640 --> 0:28:37.359
<v Speaker 2>fear pain.

0:28:37.720 --> 0:28:38.080
<v Speaker 1>That's it.

0:28:38.440 --> 0:28:40.080
<v Speaker 2>So we want to look at those three things and

0:28:40.120 --> 0:28:42.720
<v Speaker 2>again not trying to predict the top or the bottom,

0:28:42.880 --> 0:28:46.800
<v Speaker 2>but instead measuring the risk and the location of our

0:28:46.840 --> 0:28:49.080
<v Speaker 2>investments to the cycle. If you follow this, we're going

0:28:49.120 --> 0:28:51.479
<v Speaker 2>to have massive success. And if you want to know

0:28:51.600 --> 0:28:54.280
<v Speaker 2>the top five on chain indicators that I'm watching to

0:28:54.280 --> 0:28:57.680
<v Speaker 2>help me understand this, watch this video right here and

0:28:57.720 --> 0:28:58.520
<v Speaker 2>I'll see you over there.