WEBVTT - Can Technical Analysis Predict Market Sentiment?

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<v Speaker 1>So the big question is this, how do investors like

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<v Speaker 1>us get access to the ideas, information, and most importantly,

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<v Speaker 1>the right people that give us the tools and information

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<v Speaker 1>we need to make informed and educated decisions to have success.

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<v Speaker 1>That is the question, and this podcast will give us

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<v Speaker 1>the answers. This is Mark Moss, your host. Let's get

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<v Speaker 1>this started. Hello, and welcome to another episode of the

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<v Speaker 1>Market Disruptors podcast. Today I'm joined by Jacob Canfield, host

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<v Speaker 1>of the Crypto Traders podcast, and we get into cryptocurrency,

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<v Speaker 1>bitcoin and trading and investing. He is a well known trader,

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<v Speaker 1>number one ranked on Trading View, and we talk about

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<v Speaker 1>the difference of trading and investing. We talk about how

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<v Speaker 1>trading seems to line up with human sentiment of greed

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<v Speaker 1>and fear and how actually using technical analysis and fibinaci's

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<v Speaker 1>can predict where the markets are. Talk what the difference is.

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<v Speaker 1>We talked about how the average person should look at this,

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<v Speaker 1>especially if they want to try and time the markets

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<v Speaker 1>and do some technical analysis. Some really really good information

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<v Speaker 1>from one of the best traders out in the space today.

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<v Speaker 1>So let's go ahead, just jump right into it. Hey, everyone,

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<v Speaker 1>Welcome to another episode of the Market Disruptors podcast. Today,

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<v Speaker 1>I am joined by Jacob Canfield. He is from Signal Profits.

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<v Speaker 1>He's also the host of the Crypto Traders podcast. Um

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<v Speaker 1>he's someone that I've been following a long time. He's

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<v Speaker 1>a master of technical analysis and trading. And so, Jacob,

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<v Speaker 1>welcome to the show. Thanks for having me man, I

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<v Speaker 1>appreciate it been uh been a while. We've been talking

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<v Speaker 1>about doing a podcast together for about a year now. Yeah. Yeah,

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<v Speaker 1>I'm glad we're I'm surprised it's taking so long. I'm

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<v Speaker 1>glad we're finally doing that. Uh So, Jacob, So, I've

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<v Speaker 1>been working with you for a year and a half

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<v Speaker 1>and I know you really well. But for those that

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<v Speaker 1>don't know who you are, why don't you just give

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<v Speaker 1>us a little bit of background on how you got

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<v Speaker 1>to this space that you're working in, what you're working

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<v Speaker 1>on right now. Well, I've been doing technical analysis for

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<v Speaker 1>about a decade, aid a little bit longer, but but

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<v Speaker 1>full time professionally for about the last three to four years.

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<v Speaker 1>I started out in options back in college. I took

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<v Speaker 1>an options trading course. I've always had a really really

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<v Speaker 1>big heart and passion for fundamental analysis. I'm i myself am.

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<v Speaker 1>I am a technologist, a futurist. I really love emerging technologies.

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<v Speaker 1>I've always been on the cutting netge as far as adoption. UH.

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<v Speaker 1>So you know computers, uh, the iPhone. I was like

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<v Speaker 1>one of the first in line for an iPhone and uh.

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<v Speaker 1>And so my approach is really kind of just investing

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<v Speaker 1>in trading things that I have intimate knowledge about. UM.

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<v Speaker 1>I own a mobile application development company, so I know

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<v Speaker 1>the ins and outs of of mobile applications, Apple, um

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<v Speaker 1>technology like that. But I also have a background in healthcare,

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<v Speaker 1>so those have kind of been like my cross hybrid

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<v Speaker 1>of of my paths. I love e commerce, the healthcare

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<v Speaker 1>wellness industry, and then on the technology and the trading side. UM.

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<v Speaker 1>For me, it's all about quant afiable data, back testing strategies,

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<v Speaker 1>and uh. Trading just boils down to finding edges that

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<v Speaker 1>are greater than fifty and then employing those edges over

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<v Speaker 1>a long period of time, because if you have an

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<v Speaker 1>edge that works better than essentially you're gonna make money

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<v Speaker 1>in the long run. It's just kind of probability and statistics.

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<v Speaker 1>And so that's kind of how I approached the market.

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<v Speaker 1>I find strong fundamental projects and then I like to

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<v Speaker 1>trade them um and try and outperform just a buy

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<v Speaker 1>and hold strategy. So that's kind of how I approach

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<v Speaker 1>pretty much all of my UM investing thesis or trading

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<v Speaker 1>the Yeah, that's good. UM, So it's you know, you

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<v Speaker 1>bring up the difference of investing and trading, and you

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<v Speaker 1>talked about how you like to have a fundamental knowledge

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<v Speaker 1>of it and then trade against it. UM. Maybe for

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<v Speaker 1>a lot of people that aren't really sure what's what's

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<v Speaker 1>what do you think is the difference between trading and investing,

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<v Speaker 1>because sometimes those lines get blurred. Yeah, I just I

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<v Speaker 1>just tweeted this today. I said, don't trade like an

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<v Speaker 1>investor and don't invest like a trader. Uh. There are

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<v Speaker 1>pretty big fundamental differences between the two, and I would

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<v Speaker 1>say the biggest one is time commitment being a trader.

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<v Speaker 1>And there's different variations in different degrees of trading, whether

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<v Speaker 1>I mean, and there's a thousand different methods and strategies

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<v Speaker 1>for trading, whether you're a short term, long term, scalping,

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<v Speaker 1>swing trading, there's all kinds of different approaches. I mean,

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<v Speaker 1>the approaches are infinitesimal or sorry, infinite based on all

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<v Speaker 1>the different angles you can take But the really big

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<v Speaker 1>difference is time commitment. Investing is kind of a one

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<v Speaker 1>time thing. You buy and then you hold for based

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<v Speaker 1>on your thesis if yours is correct. Like Warren Buffett,

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<v Speaker 1>he says, you know, I invested, I invest in all

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<v Speaker 1>of these companies because I believe in the American economy.

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<v Speaker 1>So you know, if you if you don't think the

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<v Speaker 1>stock market's gonna go up, your essentially don't think that

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<v Speaker 1>the American economy is going to go up. And so

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<v Speaker 1>that's his investing thesis and that's how it kind of

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<v Speaker 1>approaches it. But from a trader's standpoint, you don't really

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<v Speaker 1>care too much about the backstory, the investing all that stuff.

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<v Speaker 1>It's really just kind of a time frame preference. You know,

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<v Speaker 1>are you short term, mid term, long term? And once

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<v Speaker 1>you have that kind of thesis behind it, then all

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<v Speaker 1>else it kind of applies. But the other aspect of

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<v Speaker 1>trading that that I think is a really big fundamental

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<v Speaker 1>difference is skill set. Uh, being a skillful trader and

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<v Speaker 1>being a profitable trader is incredibly difficult. There was a

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<v Speaker 1>study done on the i Q of traders and they

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<v Speaker 1>say that people that go into trading have some of

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<v Speaker 1>the highest i q's of the world. But there's a

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<v Speaker 1>rule that basically traders fail. And so when you have

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<v Speaker 1>a group of people that have already a really high

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<v Speaker 1>i Q and of those group of people, only ten

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<v Speaker 1>percent will actually succeed. Uh. It makes it a very

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<v Speaker 1>very competitive marketplace. It's very fierce, and so it's really

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<v Speaker 1>hard to make money as a trader, and so it

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<v Speaker 1>takes a long time to become good and profitable at trading.

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<v Speaker 1>And what I also see the difference between investing in

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<v Speaker 1>trading is that it most people they stop trying to

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<v Speaker 1>trade after about a year. Most people lose all of

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<v Speaker 1>their money within a year, or a lot of majority

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<v Speaker 1>of their money after about a year, and then they

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<v Speaker 1>just kind of switch over to investing because it's a

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<v Speaker 1>lot easier, and it's you know, because trading does take

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<v Speaker 1>time to become good at it. But what we call that,

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<v Speaker 1>you know, what we call the first year to three

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<v Speaker 1>years is tuition. Just like anything, it takes time to

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<v Speaker 1>get good. And with trading, the first three years, all

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<v Speaker 1>the money that you give to the market, to all

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<v Speaker 1>the other people who have been their ten, fifteen, twenty years, Uh,

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<v Speaker 1>that's the tuition to really learn how to trade over

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<v Speaker 1>the long term. So time preference, skill set, um, and

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<v Speaker 1>just just I mean, I think those are the two

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<v Speaker 1>biggest differentiators between investing and trading. But with investing, if

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<v Speaker 1>you're investing in like a fundamental ideology, let's say Bitcoin,

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<v Speaker 1>then your time horizon is drastically different than a trade.

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<v Speaker 1>Your time arizing goes you know, then goes up to

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<v Speaker 1>maybe ten even fifty years, kind of like investing in

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<v Speaker 1>um Forward or Amazon or Apple. If you if you

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<v Speaker 1>believe that the tech chnology is here to stay for

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<v Speaker 1>you know, an indefinite period of time, then you're investing

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<v Speaker 1>these just still holds true, the fundamentals still hold true.

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<v Speaker 1>That's a valuable, valuable company kind of no matter which

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<v Speaker 1>way the market moves, no matter how far your draw

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<v Speaker 1>down is. And so I think that's the that's the

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<v Speaker 1>biggest difference between the two. But for me, I try

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<v Speaker 1>to try, I try to employ kind of a combination

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<v Speaker 1>approach of fundamental and technical. I want to trade things

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<v Speaker 1>that I believe are emerging technologies because a it's got

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<v Speaker 1>the volume, be it's got the hype, um you know,

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<v Speaker 1>so that that's kind of what I'm looking for. I'm

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<v Speaker 1>looking for things that people are buying or things that

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<v Speaker 1>people are going to want to buy, And I have

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<v Speaker 1>a I have a combination approach where you know, part

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<v Speaker 1>of my money is an investing strategy. But I still

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<v Speaker 1>think that and we talked about this before, investing and

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<v Speaker 1>trading has this blurred line where you know, you can

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<v Speaker 1>be a an investor, but you also are a trader

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<v Speaker 1>because a you want to have a good entry. You

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<v Speaker 1>don't want to invest at the top of a massive

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<v Speaker 1>rally um where you know, every technical indicator is showing

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<v Speaker 1>that it's supposed to, you know, have a correction or downside,

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<v Speaker 1>and I don't like to invest into uh, you know,

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<v Speaker 1>very very poor macro economic structure, meaning you know, what's

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<v Speaker 1>going on with the Federal Reserve, what's going on with

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<v Speaker 1>all the geopolitical stuff around the world, is showing that,

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<v Speaker 1>you know, the dollar might strengthen, showing stocks might be

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<v Speaker 1>going to I don't want to invest into a climate

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<v Speaker 1>like that, So I like to time it with technicals,

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<v Speaker 1>but I like to tie my position trades, meaning my

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<v Speaker 1>longer term investments into like a really strong downtrend UH

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<v Speaker 1>into a fundamental project, right like if if Amazon drops,

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<v Speaker 1>I'm not gonna blink at buying it because the fundamentals

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<v Speaker 1>don't change from the week before to the week after.

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<v Speaker 1>It's it's you know, I'd rather buy into blood rather

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<v Speaker 1>than buying into euphoria onto my fundamental and you know,

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<v Speaker 1>beliefs or my fundamental project. Yeah, so I think it it.

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<v Speaker 1>I think what you're saying, though, it really depends on

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<v Speaker 1>the specific asset class itself. So, um, when you're talking

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<v Speaker 1>about more broader based assets like Amazon, for example, there's

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<v Speaker 1>strong fundamentals, meaning assets cash flow, returns on cash flow, earnings,

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<v Speaker 1>things like that, and so the fundamentals, as you say,

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<v Speaker 1>don't change, although the price could change. So then technically, um,

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<v Speaker 1>that gives you good entries. But I think when you

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<v Speaker 1>get into stuff like cryptocurrencies, for example, you don't have

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<v Speaker 1>those fundamentals, so there is no cash flow, there is

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<v Speaker 1>no assets, earnings, et cetera. And so then do you

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<v Speaker 1>think that's really all more speculation or trading. I mean,

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<v Speaker 1>technically that's not investing, right, It's I would think it's

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<v Speaker 1>almost all speculation that it's going to be up, go

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<v Speaker 1>up and value in the future. Yeah, And I think

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<v Speaker 1>I think an important point is to segregate bitcoin from

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<v Speaker 1>the rest of the market. I think that bitcoin does

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<v Speaker 1>have fundamentals, It has a value prop position, and it

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<v Speaker 1>does have You can actually calculate how much each bitcoin

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<v Speaker 1>is worth based on the electricity consumption that it takes

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<v Speaker 1>to actually produce one bitcoin into power the bitcoin network.

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<v Speaker 1>So there is some there is some you know, uh,

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<v Speaker 1>fundamental value in what you can define with bitcoin. And

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<v Speaker 1>also what is bitcoin kind of competing against and what

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<v Speaker 1>is its long term speculative value and uh, you know,

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<v Speaker 1>for bitcoin, it's the entire you know, monetary supply. Any

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<v Speaker 1>currency can go into Bitcoin. It's an alternative asset class,

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<v Speaker 1>and so that has that you kind of have to

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<v Speaker 1>segregate that from the rest of the cryptocurrency market. But yes, uh,

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<v Speaker 1>you know people and in a very good example is Ripple.

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<v Speaker 1>Ripple the company has cash flow at has earnings, but

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<v Speaker 1>you're not buying equity into Ripple. You're buying the x

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<v Speaker 1>RP token, which used to be called Ripple but now

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<v Speaker 1>it's just called XRP. But x RP has really no

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<v Speaker 1>fundamental basis for it other than it's a use case

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<v Speaker 1>for maybe money remittance or money transfers across the world. Uh,

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<v Speaker 1>And so that one you can't really put much of

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<v Speaker 1>a fundamental thesis behind it. There's nothing you can really

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<v Speaker 1>measure it on. And especially because it's essentially controlled entity

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<v Speaker 1>with as far as like supply is concerned, ripple controls

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<v Speaker 1>six it. So with that, I base almost all of

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<v Speaker 1>my investing or trading decisions on technical indicators. And so

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<v Speaker 1>for me, technicals are the benchmark for what I should

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<v Speaker 1>base all of my decisions for cryptocurrency on, because who

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<v Speaker 1>controls the decisions of a lot of these things are

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<v Speaker 1>market makers and algorithms and and frequency and high frequency

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<v Speaker 1>traders in the market, and they use technical indicators as

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<v Speaker 1>a basis for almost all of their decisions. And so

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<v Speaker 1>a lot of these uh quant programs are programmed by humans,

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<v Speaker 1>and humans are looking at the technicals um and very

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<v Speaker 1>little if any have fundamental basis uh and they are

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<v Speaker 1>almost all speculative, which makes the cryptocurrency markets a beautiful

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<v Speaker 1>market to trade because you're basically trading on emotion. You're

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<v Speaker 1>trading on fear and greed and and those two emotions

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<v Speaker 1>and hope, right, and those two emotions are very very

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<v Speaker 1>profitable to trade off of and very easy to trade

0:12:18.679 --> 0:12:22.000
<v Speaker 1>off of because there's such there's such a reactive Uh,

0:12:22.679 --> 0:12:25.480
<v Speaker 1>it's such a reactive method of trading. Yeah, I want

0:12:25.480 --> 0:12:27.720
<v Speaker 1>to get into that. That's an important piece that I

0:12:27.720 --> 0:12:30.040
<v Speaker 1>wanted to touch on. But before we do so back

0:12:30.080 --> 0:12:32.120
<v Speaker 1>to your original tweet, you talked about where the best

0:12:32.160 --> 0:12:35.439
<v Speaker 1>investors are traders or traders shouldn't invest like investors and

0:12:35.480 --> 0:12:38.160
<v Speaker 1>investors not like traders. But I think, um, there's one

0:12:38.240 --> 0:12:41.319
<v Speaker 1>common trade that I like, and you talked about um

0:12:41.360 --> 0:12:45.040
<v Speaker 1>having that thesis, and so I what I like that

0:12:45.120 --> 0:12:48.079
<v Speaker 1>I see with traders as traders are getting in looking

0:12:48.120 --> 0:12:49.600
<v Speaker 1>to get in at a certain entry and out at

0:12:49.640 --> 0:12:53.000
<v Speaker 1>a certain exit. And I think a lot of a

0:12:53.000 --> 0:12:55.680
<v Speaker 1>lot of investors maybe a lot of times, like you said,

0:12:55.679 --> 0:12:58.240
<v Speaker 1>it's not it's easier maybe right, So they just buy

0:12:58.280 --> 0:13:00.520
<v Speaker 1>Amazons that's gonna go up, I'm gonna buy bitcoins is

0:13:00.559 --> 0:13:02.280
<v Speaker 1>going to go up or whatever, but they don't really

0:13:02.320 --> 0:13:05.240
<v Speaker 1>think about the exit, like at what point should I

0:13:05.280 --> 0:13:08.320
<v Speaker 1>take a profit? What's my thesis? Do I believe that

0:13:08.559 --> 0:13:11.760
<v Speaker 1>when I bought Amazon that I believe that e commerce

0:13:11.800 --> 0:13:13.199
<v Speaker 1>was going to change the world in Amazon will be

0:13:13.240 --> 0:13:15.960
<v Speaker 1>the leader? If so, I wait that long? Or do

0:13:16.040 --> 0:13:18.400
<v Speaker 1>I think I'm buying it? Bitcoin in ten thousand day

0:13:18.400 --> 0:13:20.000
<v Speaker 1>and it's gonna go to twenty tho, I'm gonna sell

0:13:20.040 --> 0:13:23.120
<v Speaker 1>out there, right, So what do you think about that, uh,

0:13:23.160 --> 0:13:26.520
<v Speaker 1>that investing thesis that that I guess investors could learn

0:13:26.600 --> 0:13:29.679
<v Speaker 1>from traitors. Well, it's that that's a that's a hard

0:13:29.760 --> 0:13:34.320
<v Speaker 1>thing to really judge. Right when is the best time

0:13:34.360 --> 0:13:37.160
<v Speaker 1>to sell? Right? Because people, people that bought it at

0:13:37.160 --> 0:13:39.840
<v Speaker 1>twenty thous what if bitcoin goes to a million dollars,

0:13:39.840 --> 0:13:42.320
<v Speaker 1>They're gonna look like a genius? Right, And I'm I'm

0:13:42.440 --> 0:13:46.400
<v Speaker 1>working on this post or this this article. Basically I did.

0:13:46.520 --> 0:13:49.040
<v Speaker 1>I did a tweet about a week ago that said,

0:13:49.960 --> 0:13:53.120
<v Speaker 1>given enough time, bitcoin is an asset that makes everyone

0:13:53.200 --> 0:13:55.400
<v Speaker 1>look like a genius, no matter where they bought it at.

0:13:55.840 --> 0:13:59.400
<v Speaker 1>And the whole concept is looking at every bubble of bitcoin,

0:13:59.800 --> 0:14:02.240
<v Speaker 1>and everybody who bought at the top, no matter how

0:14:02.360 --> 0:14:05.200
<v Speaker 1>high you know, at the very tippy top, is a

0:14:05.240 --> 0:14:08.600
<v Speaker 1>genius unless you bought it twenty But we are rapidly

0:14:08.600 --> 0:14:11.720
<v Speaker 1>approaching that. We are going to make them geniuses too.

0:14:11.960 --> 0:14:14.200
<v Speaker 1>And so if you bought it a hundred dollars before

0:14:14.280 --> 0:14:18.200
<v Speaker 1>a crash down to you know, a dollar, you're still

0:14:18.200 --> 0:14:21.880
<v Speaker 1>a genius because even if you held draw down and

0:14:22.200 --> 0:14:24.080
<v Speaker 1>it went all the way to the current price. Now

0:14:24.080 --> 0:14:27.000
<v Speaker 1>at ten thousand dollars, you still made a hundred extra

0:14:27.080 --> 0:14:28.840
<v Speaker 1>turn on your money, a hundred dollars to ten thousand.

0:14:29.160 --> 0:14:31.400
<v Speaker 1>If you bought at you know, two thousand dollars, you

0:14:31.440 --> 0:14:33.480
<v Speaker 1>bought a five thousand dollars. If you bought at twenty

0:14:33.520 --> 0:14:36.240
<v Speaker 1>tho dollars. I think in five years, if, if, if,

0:14:36.280 --> 0:14:39.720
<v Speaker 1>and when bitcoin gets to two hift dollars, you're still

0:14:39.720 --> 0:14:42.160
<v Speaker 1>gonna look like an incredible genius because you've just ten

0:14:42.200 --> 0:14:44.000
<v Speaker 1>extrar money. You've made a hundred percent on your money

0:14:44.400 --> 0:14:46.160
<v Speaker 1>in one of the fastest great asset classes. And so

0:14:46.200 --> 0:14:51.120
<v Speaker 1>that's really hard to say because holding holding bitcoin, I know,

0:14:51.200 --> 0:14:55.320
<v Speaker 1>it's become a meme is very very difficulty. They say

0:14:55.360 --> 0:14:58.360
<v Speaker 1>it's super easy, but it's actually really really difficult. You

0:14:58.400 --> 0:15:02.000
<v Speaker 1>have to have the gut in the fortitude of you know,

0:15:03.080 --> 0:15:05.880
<v Speaker 1>a mercenary right. You have to really be able to

0:15:05.920 --> 0:15:08.240
<v Speaker 1>hold through some massive draw downs. Bitcoin went from twenty

0:15:08.280 --> 0:15:11.600
<v Speaker 1>thousand to three thousand. Most people capitulated. You could see

0:15:11.600 --> 0:15:16.359
<v Speaker 1>the um. It's called the day the decay of of um.

0:15:16.400 --> 0:15:19.240
<v Speaker 1>It's like basically the time of decay for bitcoin. Hold

0:15:19.280 --> 0:15:22.000
<v Speaker 1>alurs and and it's basically the amount of new money

0:15:22.080 --> 0:15:24.920
<v Speaker 1>that comes into the amount of old bitcoin that gets exchanged.

0:15:24.920 --> 0:15:27.120
<v Speaker 1>And I had the highest volume at three thousand, two hundred,

0:15:27.160 --> 0:15:28.400
<v Speaker 1>and I said, I think a lot of the old

0:15:28.440 --> 0:15:31.760
<v Speaker 1>holdelers who bought at you know, five hundred thousand dollars,

0:15:31.800 --> 0:15:34.360
<v Speaker 1>I think they capitulated at because I thought. I think

0:15:34.400 --> 0:15:36.840
<v Speaker 1>they thought it was gonna go much much lower. And

0:15:36.880 --> 0:15:39.720
<v Speaker 1>so it's really interesting because if you believe in the

0:15:39.720 --> 0:15:43.400
<v Speaker 1>thesis and you believe that, you know, bitcoin can become

0:15:43.920 --> 0:15:47.520
<v Speaker 1>a world currency, the sky is really the limit because

0:15:47.520 --> 0:15:50.920
<v Speaker 1>now you're talking seven hundred billion dollars in derivative assets,

0:15:50.920 --> 0:15:53.560
<v Speaker 1>and you're talking, uh, the you know, the monetary supply

0:15:53.760 --> 0:15:56.760
<v Speaker 1>of the UK, the British pound, that the US dollar

0:15:56.760 --> 0:15:59.800
<v Speaker 1>and all that stuff. So having an exit in mind

0:15:59.840 --> 0:16:02.600
<v Speaker 1>for bitcoin is very tough. I think that's probably one

0:16:02.640 --> 0:16:05.440
<v Speaker 1>of the hardest assets to really kind of peg down.

0:16:05.840 --> 0:16:08.520
<v Speaker 1>As a trader, you can definitely figure out when you

0:16:08.520 --> 0:16:10.600
<v Speaker 1>want a time in and time out. And one of

0:16:10.640 --> 0:16:13.680
<v Speaker 1>my thesis that I've always held true, and one thing

0:16:13.720 --> 0:16:18.480
<v Speaker 1>that saved me in seventeen was if an investment or

0:16:18.520 --> 0:16:22.040
<v Speaker 1>a trade, if you take profits and it's enough to

0:16:22.200 --> 0:16:25.280
<v Speaker 1>change your life or change the circumstances of your life

0:16:25.800 --> 0:16:28.960
<v Speaker 1>for the better are on the table. I would always

0:16:29.000 --> 0:16:32.000
<v Speaker 1>recommend at least taking that because you never know what's

0:16:32.000 --> 0:16:34.840
<v Speaker 1>gonna happen. You never know, you know, tomorrow the whole

0:16:35.200 --> 0:16:38.360
<v Speaker 1>UH landscape could change with regulations, fadd on ramps, all

0:16:38.360 --> 0:16:41.040
<v Speaker 1>the steven things, and your investment that is, you know,

0:16:41.120 --> 0:16:43.280
<v Speaker 1>basically set you up for life, or set you up

0:16:43.280 --> 0:16:45.280
<v Speaker 1>for the next ten fifteen years to be able to

0:16:45.480 --> 0:16:47.440
<v Speaker 1>live life to the fullest, have the freedom you want,

0:16:47.520 --> 0:16:49.840
<v Speaker 1>retire from your job, you know, give you time to

0:16:49.880 --> 0:16:52.640
<v Speaker 1>find a new job. If you don't take that, UH,

0:16:52.680 --> 0:16:54.600
<v Speaker 1>then then it's always gonna It's always gonna be in

0:16:54.640 --> 0:16:56.120
<v Speaker 1>the back of your mind. It's always gonna beat you

0:16:56.200 --> 0:16:58.600
<v Speaker 1>up if it if it crashes, or if the price

0:16:58.880 --> 0:17:01.520
<v Speaker 1>turns around. And I think the biggest thing about bitcoin

0:17:01.520 --> 0:17:04.199
<v Speaker 1>and cryptocurrencies is fomo, the fear of missing out. I

0:17:04.200 --> 0:17:07.480
<v Speaker 1>see people buying at the bottoms of you know, every

0:17:07.480 --> 0:17:10.040
<v Speaker 1>single dip, every single dip, every single dip, because they're

0:17:10.080 --> 0:17:13.720
<v Speaker 1>so afraid of missing that one candle that you know

0:17:13.720 --> 0:17:16.880
<v Speaker 1>it goes up with thousands. But the markets don't move

0:17:16.960 --> 0:17:20.239
<v Speaker 1>like that. Bottoms don't form off of um you know,

0:17:20.840 --> 0:17:24.199
<v Speaker 1>off of just one single candle. Typically bottoms take you know,

0:17:24.280 --> 0:17:27.280
<v Speaker 1>time to form and so, and there's always time to

0:17:27.480 --> 0:17:30.439
<v Speaker 1>enter into an uptrending market. I think you have a

0:17:30.560 --> 0:17:34.040
<v Speaker 1>very famous quote of Rockefeller where he says he made

0:17:34.119 --> 0:17:36.880
<v Speaker 1>the most money not by getting into earlier getting out,

0:17:37.040 --> 0:17:38.679
<v Speaker 1>you know, getting into the bottom or getting out at

0:17:38.720 --> 0:17:40.399
<v Speaker 1>the top. He always made his money in the middle

0:17:40.520 --> 0:17:43.359
<v Speaker 1>by just following the trend and then exiting before the

0:17:43.480 --> 0:17:46.040
<v Speaker 1>before the top was formed. So that's kind of my

0:17:46.119 --> 0:17:48.920
<v Speaker 1>investing thesis for bitcoin. I know, you know where my

0:17:49.440 --> 0:17:51.680
<v Speaker 1>exit points are. I know where my entry points are,

0:17:52.080 --> 0:17:53.960
<v Speaker 1>and you know, for me, it's it's about you know,

0:17:54.080 --> 0:17:56.080
<v Speaker 1>making enough money to to form freedom. But I do

0:17:56.160 --> 0:17:58.919
<v Speaker 1>have a portion of it where I just never touch it,

0:17:59.240 --> 0:18:03.080
<v Speaker 1>right because my thesis is that bitcoin could eventually take

0:18:03.119 --> 0:18:06.359
<v Speaker 1>over as a global revert reserve currency. It's the best

0:18:06.400 --> 0:18:09.400
<v Speaker 1>competition we've ever seen against the dollar, and the dollars

0:18:09.720 --> 0:18:11.680
<v Speaker 1>is the best currency on in the world. And I

0:18:11.720 --> 0:18:13.919
<v Speaker 1>don't think that, and I think that bitcoin has a

0:18:13.920 --> 0:18:16.720
<v Speaker 1>good chance as long as the technology continues to evolve.

0:18:17.080 --> 0:18:19.920
<v Speaker 1>But you know, that's my thesis and I can't recommend

0:18:19.920 --> 0:18:23.240
<v Speaker 1>it for everybody. Now you mentioned um you mentioned how

0:18:23.640 --> 0:18:25.920
<v Speaker 1>people are trying to foamoin at the bottom and they're

0:18:25.920 --> 0:18:28.560
<v Speaker 1>trying to capture that candle catching knives as we like

0:18:28.640 --> 0:18:32.760
<v Speaker 1>to say. Um, it's it seems like it's really hard

0:18:32.840 --> 0:18:35.200
<v Speaker 1>for people to be either a traitor or an investor

0:18:35.240 --> 0:18:38.239
<v Speaker 1>because it goes against our own human intentions, right, Like

0:18:38.320 --> 0:18:40.800
<v Speaker 1>we just wanna we we want to we want pleasure,

0:18:40.840 --> 0:18:43.600
<v Speaker 1>we want to get away from pain. Um. And I

0:18:43.640 --> 0:18:47.480
<v Speaker 1>know you've talked a lot about how actually technical analysis

0:18:47.720 --> 0:18:50.600
<v Speaker 1>actually plays along with that human emotion you think, right,

0:18:50.680 --> 0:18:56.399
<v Speaker 1>like the mathematical formulas somehow can predict that human emotion cycle. Yeah.

0:18:56.520 --> 0:19:01.639
<v Speaker 1>So Fibonacci is a perfect example. I've studying Fibonacci just

0:19:01.680 --> 0:19:05.600
<v Speaker 1>in nature, but also apply to the markets and and sentiment.

0:19:05.640 --> 0:19:09.080
<v Speaker 1>I created my own Fibonacci UH sequence. It's called the

0:19:09.119 --> 0:19:12.960
<v Speaker 1>Canfield Fibonacci sequence. It's a it's a a sequence of

0:19:13.359 --> 0:19:16.600
<v Speaker 1>numbers that apply to long term investing thesis. Um, you

0:19:16.640 --> 0:19:19.920
<v Speaker 1>can google that online. But Fibinaci is really really interesting

0:19:20.000 --> 0:19:23.520
<v Speaker 1>because those Fibonacci levels, the sixty one point eight percent ratio,

0:19:23.560 --> 0:19:26.120
<v Speaker 1>the seventy eight point six ratio. I believe that these

0:19:26.119 --> 0:19:29.800
<v Speaker 1>are measurements of human emotion. When something is in a rally,

0:19:29.880 --> 0:19:32.720
<v Speaker 1>it shows you exactly how euphoric people can be. And

0:19:32.760 --> 0:19:36.520
<v Speaker 1>it turns around as specific um Fibonacci extension levels because

0:19:36.520 --> 0:19:39.399
<v Speaker 1>it shows you how exuberant group of people can be

0:19:39.520 --> 0:19:42.879
<v Speaker 1>or cohort or population. And then the retracements are showing

0:19:43.000 --> 0:19:46.280
<v Speaker 1>exactly how fearful people can be, how how much are

0:19:46.280 --> 0:19:49.480
<v Speaker 1>people willing to sell down? In those ratios um I

0:19:49.520 --> 0:19:52.800
<v Speaker 1>think are a direct reflection of human emotion, and and

0:19:52.880 --> 0:19:58.439
<v Speaker 1>it quantifies human emotion, It quantifies reactionary uh, reactionary into

0:19:58.640 --> 0:20:01.919
<v Speaker 1>into markets. And obviously you can say it's you know,

0:20:02.000 --> 0:20:05.160
<v Speaker 1>self fulfilling prophecy. It could be algorithms that trade off

0:20:05.200 --> 0:20:07.840
<v Speaker 1>of those levels, um, you know, chicken or the egg

0:20:07.880 --> 0:20:10.480
<v Speaker 1>type of thing. Are we measuring human emotion? Are we

0:20:10.520 --> 0:20:15.119
<v Speaker 1>measuring uh, just quantifiable data that algorithms are using. You know,

0:20:16.000 --> 0:20:17.560
<v Speaker 1>you can it can go one way or the other,

0:20:17.640 --> 0:20:21.320
<v Speaker 1>but yeah, I believe that we have the human emotion piece,

0:20:21.600 --> 0:20:23.800
<v Speaker 1>which I like to say volatility price going up and

0:20:23.840 --> 0:20:27.359
<v Speaker 1>down is the difference between perception and reality. And so

0:20:27.720 --> 0:20:31.439
<v Speaker 1>we perceived something to be like when bitcoin h we

0:20:31.520 --> 0:20:34.280
<v Speaker 1>perceived it to be way further ahead, like it was

0:20:34.320 --> 0:20:36.280
<v Speaker 1>ready to take over the world. But the reality is

0:20:36.320 --> 0:20:38.360
<v Speaker 1>it wasn't, and so perception had to come down, price

0:20:38.400 --> 0:20:40.920
<v Speaker 1>had to come down. But then it overcorrected. So then

0:20:40.960 --> 0:20:45.760
<v Speaker 1>bitcoin made massive advancements in regulation and technology and adoption,

0:20:46.000 --> 0:20:49.200
<v Speaker 1>but then the perception obceived value was really low and

0:20:49.240 --> 0:20:51.960
<v Speaker 1>so it went too far and and and it keep

0:20:52.000 --> 0:20:55.280
<v Speaker 1>going back and forth. And I guess, uh what I

0:20:55.440 --> 0:20:57.600
<v Speaker 1>like to say about that is also what you're saying

0:20:57.640 --> 0:21:00.840
<v Speaker 1>with the Fibonacci's and so um, that's how it's reacting

0:21:00.880 --> 0:21:06.760
<v Speaker 1>between perception and reality. Yeah, uh more more based on

0:21:07.680 --> 0:21:13.119
<v Speaker 1>like fear and greed and you know, euphoria, Like I

0:21:13.119 --> 0:21:15.239
<v Speaker 1>would say, I would say fear and euphoria are kind

0:21:15.280 --> 0:21:17.960
<v Speaker 1>of the two emotions that are the you know, the

0:21:18.000 --> 0:21:22.160
<v Speaker 1>most applicable to trading and investing. When everyone is euphoric,

0:21:22.200 --> 0:21:24.000
<v Speaker 1>that's when I, you know, typically like to try and

0:21:24.040 --> 0:21:26.879
<v Speaker 1>find my exit points. And when everyone is depressed or

0:21:26.920 --> 0:21:29.359
<v Speaker 1>angry or fearful, that's the best time to buy. And

0:21:29.960 --> 0:21:31.840
<v Speaker 1>we hear and we hear that all the time, like

0:21:31.880 --> 0:21:34.320
<v Speaker 1>by when people are fear by, when people are fearful,

0:21:34.359 --> 0:21:36.399
<v Speaker 1>so when people are greedy. But it's really hard to

0:21:36.440 --> 0:21:38.440
<v Speaker 1>know that. But you're saying that you think you can

0:21:38.480 --> 0:21:41.840
<v Speaker 1>track that using these fub nacis right, absolutely, well, you

0:21:41.840 --> 0:21:44.159
<v Speaker 1>can also track it based on um. You can do

0:21:44.359 --> 0:21:47.680
<v Speaker 1>you can do a quant study based on emotion. Uh.

0:21:47.720 --> 0:21:49.480
<v Speaker 1>You can do a quant study based on you know,

0:21:49.560 --> 0:21:52.320
<v Speaker 1>like the in the fear and index greed um when

0:21:52.359 --> 0:21:55.040
<v Speaker 1>to buy based on specific numbers, and you can actually

0:21:55.040 --> 0:21:58.120
<v Speaker 1>do a calculation what if you bought, you know, when

0:21:58.160 --> 0:22:00.480
<v Speaker 1>the fear in index three greed hits ten and you

0:22:00.480 --> 0:22:03.040
<v Speaker 1>know what is the price of you know x uh,

0:22:03.080 --> 0:22:04.960
<v Speaker 1>you know what is the price of bitcoin five days after,

0:22:04.960 --> 0:22:07.200
<v Speaker 1>ten days after, twenty days after And you can actually

0:22:07.240 --> 0:22:10.679
<v Speaker 1>quantify that data and build a trading thesis around it

0:22:10.760 --> 0:22:13.719
<v Speaker 1>or a trading plan or an investing plan um, just

0:22:13.800 --> 0:22:16.760
<v Speaker 1>like you can do with the way that the markets

0:22:16.800 --> 0:22:20.720
<v Speaker 1>are move up and move down. Um. So that's you

0:22:20.760 --> 0:22:25.840
<v Speaker 1>can definitely apply emotion and sentiment to markets. The problem

0:22:26.000 --> 0:22:30.639
<v Speaker 1>is when you get into liquid markets, sometimes there is

0:22:30.680 --> 0:22:33.200
<v Speaker 1>no bottom. That's what's that's what we call price discovery.

0:22:33.240 --> 0:22:36.359
<v Speaker 1>The bottom can sometimes be zero um. And we saw

0:22:36.400 --> 0:22:38.000
<v Speaker 1>this in the in the dot com era, and we

0:22:38.040 --> 0:22:41.240
<v Speaker 1>saw this in the old coin market where yes, it's

0:22:41.240 --> 0:22:43.879
<v Speaker 1>good to buy blood, but it's good to buy blood

0:22:43.960 --> 0:22:46.640
<v Speaker 1>on something that has a fundamental basis, like you said,

0:22:46.680 --> 0:22:49.679
<v Speaker 1>cash flow, assets, et cetera, where you know, if it

0:22:49.720 --> 0:22:54.520
<v Speaker 1>goes down, you know that it has a fundamental thesis

0:22:54.600 --> 0:22:56.400
<v Speaker 1>behind it. And so that's something where you can try

0:22:56.400 --> 0:22:58.960
<v Speaker 1>and buy the blood or by the by the by

0:22:59.040 --> 0:23:01.640
<v Speaker 1>the try and buy the bottoms or cost average near

0:23:01.680 --> 0:23:04.560
<v Speaker 1>the bottom, whereas some things just don't have a bottom

0:23:04.680 --> 0:23:07.959
<v Speaker 1>because there's no fundamental uh thesis that holds them up.

0:23:07.960 --> 0:23:11.000
<v Speaker 1>There's no cash flow, the project is dead, the developers

0:23:11.000 --> 0:23:13.760
<v Speaker 1>have abandoned that, there's no there's no liquidity, it gets

0:23:13.760 --> 0:23:16.760
<v Speaker 1>delisted from exchanges. There's lots of fundamental reasons why you

0:23:16.800 --> 0:23:19.000
<v Speaker 1>should not trade. And that's the problem that I see

0:23:19.040 --> 0:23:21.560
<v Speaker 1>was a lot of traders that came from the markets

0:23:21.680 --> 0:23:23.600
<v Speaker 1>is they see these all coins that went up eight

0:23:23.640 --> 0:23:26.399
<v Speaker 1>nine hundred percent, and they're just trying to buy the

0:23:26.440 --> 0:23:28.920
<v Speaker 1>bottom of a market that might not have a bottom,

0:23:29.080 --> 0:23:31.560
<v Speaker 1>or the bottoms of zero or the or the bottoms

0:23:31.560 --> 0:23:32.840
<v Speaker 1>of a zero. We saw, we saw a lot of

0:23:32.840 --> 0:23:36.600
<v Speaker 1>coins on bit tricks that used to have incredible price

0:23:36.680 --> 0:23:39.520
<v Speaker 1>reactions when you got to those all time low levels.

0:23:39.520 --> 0:23:41.240
<v Speaker 1>But it broke the all time lows, and you know,

0:23:41.359 --> 0:23:43.119
<v Speaker 1>there was like six or seven projects that went to

0:23:43.560 --> 0:23:46.280
<v Speaker 1>one SETOCE that was the bottom one SETOCE and then

0:23:46.320 --> 0:23:49.119
<v Speaker 1>they got delisted. So now there's absolutely no liquidity. So

0:23:49.320 --> 0:23:51.320
<v Speaker 1>you have to be really careful about what you're investing,

0:23:51.359 --> 0:23:52.680
<v Speaker 1>and you met you want to make sure that there's

0:23:52.800 --> 0:23:55.040
<v Speaker 1>enough liquidity to actually trade it or invest in it,

0:23:55.119 --> 0:23:57.399
<v Speaker 1>because you want to be able to exit a position.

0:23:57.480 --> 0:23:59.240
<v Speaker 1>You don't want to be stuck in a position where

0:23:59.280 --> 0:24:01.720
<v Speaker 1>you can't exit it. I made the mistake of buying

0:24:01.760 --> 0:24:05.720
<v Speaker 1>into a like a privacy project on um what's what's

0:24:05.760 --> 0:24:10.160
<v Speaker 1>it called Cryptopia, and Cryptopia got hacked in their exchangement

0:24:10.160 --> 0:24:12.800
<v Speaker 1>down and that was the only place for liquidity. So

0:24:13.240 --> 0:24:15.800
<v Speaker 1>with that investment, I couldn't or you know, with that trade,

0:24:15.840 --> 0:24:19.520
<v Speaker 1>I couldn't exit my position. So that's why now I

0:24:19.560 --> 0:24:22.119
<v Speaker 1>look for things that have four or five, six, seven,

0:24:22.240 --> 0:24:25.840
<v Speaker 1>eight exchanges and then I hold my trader, I hold

0:24:25.840 --> 0:24:28.720
<v Speaker 1>my investment if it's a longer term play onto my

0:24:28.800 --> 0:24:31.399
<v Speaker 1>wallet where then I can create an account on one

0:24:31.440 --> 0:24:33.720
<v Speaker 1>of these six exchanges, and so I'm not dependent on

0:24:33.560 --> 0:24:35.679
<v Speaker 1>one of these areas. And so that's kind of how

0:24:35.680 --> 0:24:38.160
<v Speaker 1>it applies to crypto specifically. A is you really don't

0:24:38.160 --> 0:24:40.560
<v Speaker 1>want to keep all your eggs on in one basket,

0:24:40.560 --> 0:24:44.520
<v Speaker 1>whether that's an exchange UM or you know. Yeah, yeah,

0:24:44.600 --> 0:24:46.960
<v Speaker 1>Now back to the fear and greed and the five

0:24:46.960 --> 0:24:51.200
<v Speaker 1>and Nachi's and whatnot. UM, I tend to I tend

0:24:51.280 --> 0:24:53.040
<v Speaker 1>to agree with you on that, just because I've seen

0:24:53.040 --> 0:24:55.239
<v Speaker 1>it play out over and over. But what about like

0:24:55.320 --> 0:24:58.840
<v Speaker 1>bigger macroeconomic events. Like sometimes it's almost seemed like it's

0:24:58.880 --> 0:25:02.280
<v Speaker 1>lined up with bigger events that like would be outside

0:25:02.280 --> 0:25:04.919
<v Speaker 1>of youringreed almost black swan events, but like there's like

0:25:04.960 --> 0:25:09.480
<v Speaker 1>this like unique timing or or coincidence sometimes. Jesse Livermore

0:25:09.640 --> 0:25:13.000
<v Speaker 1>arguably one of the best traders who's ever lived. He

0:25:13.040 --> 0:25:16.000
<v Speaker 1>has an incredible book that he wrote back in the

0:25:16.080 --> 0:25:22.280
<v Speaker 1>nineteen thirties nineties. UM. He believes everything is priced into

0:25:22.280 --> 0:25:26.680
<v Speaker 1>the market, even black swans. Everything is priced in UH.

0:25:26.720 --> 0:25:29.800
<v Speaker 1>And it's even more so now in the information age,

0:25:29.800 --> 0:25:33.919
<v Speaker 1>where information is transmitted you know so quickly and spread

0:25:33.960 --> 0:25:37.199
<v Speaker 1>so fast virally through social networks. But I've seen it

0:25:37.400 --> 0:25:40.560
<v Speaker 1>time and time and time again. Where you know technical indicators,

0:25:40.600 --> 0:25:44.520
<v Speaker 1>it's showing, you know, a wedge pattern or a symmetrical triangle,

0:25:45.240 --> 0:25:48.440
<v Speaker 1>or it's showing like a massive barished divergence where it's

0:25:48.480 --> 0:25:52.600
<v Speaker 1>you know, everything's lining up, and then outcomes the news

0:25:52.640 --> 0:25:56.600
<v Speaker 1>story where it then creates this catalyst that plays out

0:25:56.640 --> 0:25:59.760
<v Speaker 1>perfectly with technical analysis, and you know you're in the

0:25:59.800 --> 0:26:02.000
<v Speaker 1>right side of the trade. The market tanks, you're you know,

0:26:02.080 --> 0:26:05.040
<v Speaker 1>you're shorting the market, and it's like, you know, you

0:26:05.080 --> 0:26:06.960
<v Speaker 1>see people going, man, Wow, how the hell did you

0:26:06.960 --> 0:26:09.800
<v Speaker 1>know that was gonna happen. It's like, well, the technical

0:26:09.880 --> 0:26:12.320
<v Speaker 1>analysis showed that this was, you know, this was the

0:26:12.359 --> 0:26:14.520
<v Speaker 1>outcome that we were going to see, and sometimes it

0:26:14.600 --> 0:26:16.119
<v Speaker 1>just takes the news story to kind of push it

0:26:16.160 --> 0:26:19.000
<v Speaker 1>that way. The other the other side of that, and

0:26:19.040 --> 0:26:21.800
<v Speaker 1>I've done a lot of backs back testing research. Some

0:26:21.800 --> 0:26:25.119
<v Speaker 1>people might remember, I had a CNBC chart showing the

0:26:25.119 --> 0:26:30.280
<v Speaker 1>profitability of counter trading uh CNBC's headline tweets basically like

0:26:30.359 --> 0:26:33.360
<v Speaker 1>every time they were super euphoric was at the very

0:26:33.560 --> 0:26:35.639
<v Speaker 1>top of a peak. If you had short at every

0:26:35.680 --> 0:26:37.640
<v Speaker 1>tweet where they had posted that, you would have made

0:26:37.640 --> 0:26:39.400
<v Speaker 1>an incredible amount of money. And if you had long

0:26:39.880 --> 0:26:42.600
<v Speaker 1>on every time they said bitcoin is dead, you would

0:26:42.600 --> 0:26:45.159
<v Speaker 1>have again made a lot of money. And so I

0:26:45.200 --> 0:26:47.960
<v Speaker 1>do see times where you see like on CNBC or

0:26:48.080 --> 0:26:52.760
<v Speaker 1>Fox or CNN on the market analysis, where for whatever reason,

0:26:52.840 --> 0:26:57.240
<v Speaker 1>they are putting out news stories that are completely contra

0:26:57.359 --> 0:27:00.959
<v Speaker 1>indicators to what what's going to happen in the markets. Uh,

0:27:01.000 --> 0:27:03.800
<v Speaker 1>they put out like superbarished news stories right at the

0:27:03.800 --> 0:27:06.640
<v Speaker 1>bottom of the market where it's like the technical indicators

0:27:06.640 --> 0:27:09.080
<v Speaker 1>are showing reversal. And it's for me, it's sometimes I

0:27:09.119 --> 0:27:11.920
<v Speaker 1>wonder if if big money, smart money is just trying

0:27:11.960 --> 0:27:14.399
<v Speaker 1>to you know, build their liquidity so they have you know,

0:27:14.480 --> 0:27:18.120
<v Speaker 1>they create panic, or maybe maybe it's not so sinister.

0:27:18.280 --> 0:27:21.840
<v Speaker 1>Maybe it's that they're chasing news headlines right there, trying

0:27:21.840 --> 0:27:24.440
<v Speaker 1>to get viewers, and so they're picking up the most

0:27:24.560 --> 0:27:27.840
<v Speaker 1>ufork story to run, so like it's it's an indicator

0:27:27.880 --> 0:27:31.080
<v Speaker 1>of where fear and greed is because everyone's so greedy

0:27:31.119 --> 0:27:33.320
<v Speaker 1>that's making news. So they're finally, hey, we should run this.

0:27:33.400 --> 0:27:37.240
<v Speaker 1>Everyone's greedy right now. Um, And maybe that's why it is. Yeah,

0:27:37.280 --> 0:27:38.760
<v Speaker 1>I guess, I guess my take is a little bit

0:27:38.800 --> 0:27:41.320
<v Speaker 1>more conspiratorial or cynical, and yours is just a little

0:27:41.320 --> 0:27:46.159
<v Speaker 1>bit more uh make more logical. I guess, Uh, yeah,

0:27:46.200 --> 0:27:50.480
<v Speaker 1>that's that's definitely possibly the case. I Mean I asked

0:27:50.640 --> 0:27:54.359
<v Speaker 1>CNBC themselves, like about it, and they say, well, you know,

0:27:54.440 --> 0:27:57.199
<v Speaker 1>we're just we just tweet what's in the market, you know.

0:27:57.440 --> 0:28:04.000
<v Speaker 1>But my my issue is these are trained analysts, trained investors.

0:28:04.040 --> 0:28:06.920
<v Speaker 1>You know. Jim Kramer, he ran a hedge fund. There's

0:28:06.960 --> 0:28:10.240
<v Speaker 1>a really famous YouTube video about him talking about how

0:28:10.280 --> 0:28:13.760
<v Speaker 1>he used news stories to build positions, either short liquidity

0:28:13.840 --> 0:28:16.119
<v Speaker 1>or long liquidity UM, and he said, you know, he

0:28:16.280 --> 0:28:19.080
<v Speaker 1>would just send out a little uh tip to UH

0:28:19.240 --> 0:28:22.240
<v Speaker 1>routers or Bloomberg or one of the analysts over there

0:28:22.280 --> 0:28:25.200
<v Speaker 1>about you know, a rating that's going to happen on

0:28:25.320 --> 0:28:26.960
<v Speaker 1>you know, one of the stocks or whatever. And so

0:28:27.600 --> 0:28:29.720
<v Speaker 1>for me, just the way understanding the way that the

0:28:29.720 --> 0:28:32.400
<v Speaker 1>markets work and understanding the way that these these fund

0:28:32.400 --> 0:28:35.320
<v Speaker 1>managers kind of build positions, and everything is about profit

0:28:35.400 --> 0:28:38.360
<v Speaker 1>to them. So uh, you know, the retail trader is

0:28:38.400 --> 0:28:41.280
<v Speaker 1>insignificant to what they're trying to achieve. Their their bottom

0:28:41.360 --> 0:28:44.080
<v Speaker 1>line is to their their investors and to their shareholders.

0:28:44.480 --> 0:28:47.600
<v Speaker 1>And so I would probably I I definitely look at

0:28:47.600 --> 0:28:51.360
<v Speaker 1>the market as more of a conspiratorial Yeah. I want

0:28:51.360 --> 0:28:53.480
<v Speaker 1>to go back to something that you mentioned before. Everything

0:28:53.560 --> 0:28:56.880
<v Speaker 1>is priced into the market. UM. I had ran a tweet,

0:28:57.000 --> 0:29:00.640
<v Speaker 1>uh maybe a week ago where I basically said, everyone's

0:29:00.640 --> 0:29:05.160
<v Speaker 1>talking about the Havning coming up. Uh, they're talking about

0:29:05.200 --> 0:29:08.240
<v Speaker 1>backed coming out, which they finally released, that they're coming

0:29:08.240 --> 0:29:11.520
<v Speaker 1>out in September, UM, and and everyone's talking about this

0:29:11.600 --> 0:29:14.000
<v Speaker 1>and and then there's like a lot of talk about

0:29:14.680 --> 0:29:18.600
<v Speaker 1>front running that price UM, which maybe doesn't mean the

0:29:18.600 --> 0:29:21.800
<v Speaker 1>price is already is the price is already in the market,

0:29:21.800 --> 0:29:23.760
<v Speaker 1>but that it's coming in. And I got into a

0:29:23.800 --> 0:29:27.760
<v Speaker 1>debate with a guy about the Havning, Uh, the research

0:29:27.800 --> 0:29:29.840
<v Speaker 1>that's been done by a Plan B a hundred trillion

0:29:29.960 --> 0:29:32.200
<v Speaker 1>about UM the price going up on the Havnening, which

0:29:32.200 --> 0:29:35.240
<v Speaker 1>is coming up next year. And so with with events

0:29:35.240 --> 0:29:37.760
<v Speaker 1>like back or with events like the happening, I mean,

0:29:37.800 --> 0:29:40.640
<v Speaker 1>don't you think like everyone is front running that so

0:29:40.680 --> 0:29:43.440
<v Speaker 1>at some point that prices, like almost every price is

0:29:43.440 --> 0:29:45.720
<v Speaker 1>already in the market. Basically what you said, the question

0:29:45.800 --> 0:29:48.600
<v Speaker 1>is who is everyone? Right? So Bitcoin, the market cap

0:29:48.680 --> 0:29:53.080
<v Speaker 1>is insignificant. Gold is fourteen trillion, uh bitcoin and the

0:29:53.160 --> 0:29:56.360
<v Speaker 1>entire cryptocurrency market market cap isn't even at a trillion

0:29:56.400 --> 0:29:59.880
<v Speaker 1>dollars yet. So it's it's so small that I don't

0:30:00.040 --> 0:30:03.120
<v Speaker 1>think that. I mean, we're a small population of people.

0:30:03.640 --> 0:30:06.360
<v Speaker 1>And so yeah, maybe people that are priced in right

0:30:06.400 --> 0:30:10.040
<v Speaker 1>now are front running it. The beautiful thing about trends

0:30:10.640 --> 0:30:14.800
<v Speaker 1>is short term trends are manipulatable. You can manipulate them.

0:30:14.880 --> 0:30:17.880
<v Speaker 1>Mid term trends somewhat manipulatable, and a market like crypto

0:30:18.040 --> 0:30:21.080
<v Speaker 1>for sure. But long term trends five years, ten years,

0:30:21.080 --> 0:30:24.160
<v Speaker 1>twenty years, thirty years, fifty years, those are not manipulatable.

0:30:24.160 --> 0:30:26.400
<v Speaker 1>It takes way too much money to manipulate a trend

0:30:26.440 --> 0:30:30.640
<v Speaker 1>that goes that long. And so the data is there

0:30:30.760 --> 0:30:34.760
<v Speaker 1>that shows exactly what has happened every prior time. And uh,

0:30:34.880 --> 0:30:37.120
<v Speaker 1>you're a fan of history, it doesn't you know, repeat,

0:30:37.160 --> 0:30:40.600
<v Speaker 1>but it often rhymes. And so all you can do

0:30:40.720 --> 0:30:43.920
<v Speaker 1>is really use that data to make your best educated

0:30:43.960 --> 0:30:45.560
<v Speaker 1>guess as to what's going to happen in the future.

0:30:45.680 --> 0:30:48.640
<v Speaker 1>Nobody has a crystal ball, no analyst um especial. I

0:30:48.680 --> 0:30:50.760
<v Speaker 1>mean you can you know that's true because two thousand eight,

0:30:50.920 --> 0:30:53.640
<v Speaker 1>very very few people there was a movie, The Big Short,

0:30:53.680 --> 0:30:56.960
<v Speaker 1>where only a handful of firms made billions of dollars

0:30:56.960 --> 0:30:59.720
<v Speaker 1>off that off that short um and everybody else was

0:30:59.760 --> 0:31:02.360
<v Speaker 1>caught blindside it. The same thing is true with bitcoin.

0:31:02.400 --> 0:31:04.480
<v Speaker 1>I think bitcoin is gonna blindside a lot of people.

0:31:04.480 --> 0:31:08.120
<v Speaker 1>I think that, uh, nobody really has any clue. And

0:31:08.200 --> 0:31:09.840
<v Speaker 1>I know that because I've been in the market for

0:31:09.880 --> 0:31:11.760
<v Speaker 1>three and a half years and I've kind of rubbed

0:31:11.760 --> 0:31:14.920
<v Speaker 1>shoulders with the top developers, the top traders, the top investors,

0:31:14.960 --> 0:31:17.840
<v Speaker 1>the top hedge fund managers that are in cryptocurrencies. Nobody

0:31:17.880 --> 0:31:21.400
<v Speaker 1>really has any any clue what bitcoin is capable of,

0:31:21.520 --> 0:31:25.760
<v Speaker 1>especially in a recession, especially uh, with all these trade talks,

0:31:25.840 --> 0:31:30.280
<v Speaker 1>especially with all this stuff. So I don't know that. Sure,

0:31:30.320 --> 0:31:32.840
<v Speaker 1>you can, you know, estimate what's going to happen with

0:31:33.000 --> 0:31:36.280
<v Speaker 1>the having, but bitcoin is a deflationary currency, and it's

0:31:36.760 --> 0:31:38.880
<v Speaker 1>and as you did a podcast with Mark Usko, it's

0:31:38.880 --> 0:31:44.400
<v Speaker 1>schmuck insurance against against a against the system. And we

0:31:44.520 --> 0:31:46.480
<v Speaker 1>just we were at twenty two trillion dollars in debt

0:31:46.560 --> 0:31:48.760
<v Speaker 1>or twenty four trillion whatever. I can't even remember the number.

0:31:48.760 --> 0:31:51.640
<v Speaker 1>It's going up so fast. We just don't know what

0:31:51.960 --> 0:31:54.840
<v Speaker 1>the potential of bitcoin is. And I think the most

0:31:54.880 --> 0:31:59.240
<v Speaker 1>important thing that I've learned is it's cheaper to own

0:31:59.280 --> 0:32:02.240
<v Speaker 1>it and not need it than it is to need

0:32:02.280 --> 0:32:05.360
<v Speaker 1>it and not own it. I think that that's you know,

0:32:05.440 --> 0:32:07.160
<v Speaker 1>that that's the kind of the way that I view

0:32:07.160 --> 0:32:10.920
<v Speaker 1>bitcoin is it is insurance because you just don't know

0:32:11.240 --> 0:32:13.560
<v Speaker 1>the potential or how valuable it's going to be until

0:32:14.040 --> 0:32:17.400
<v Speaker 1>you need it. Right. So, in Statoshi's a white paper

0:32:17.560 --> 0:32:20.520
<v Speaker 1>for bitcoin, the creator of bitcoin, he wrote a white

0:32:20.520 --> 0:32:24.120
<v Speaker 1>paper and in the white paper he said, Um, not exactly,

0:32:24.120 --> 0:32:26.840
<v Speaker 1>but he said, Uh, wouldn't it make sense to get

0:32:26.920 --> 0:32:32.400
<v Speaker 1>some just in case it catches on or something like that? Yeah? Exactly. Yeah, Yeah,

0:32:32.400 --> 0:32:34.800
<v Speaker 1>wouldn't it make sense just to get some just in case?

0:32:34.920 --> 0:32:36.760
<v Speaker 1>Is what he said. And that's kind of what you're

0:32:36.760 --> 0:32:40.560
<v Speaker 1>saying the insurance. I like that. Great. Well, I know

0:32:40.600 --> 0:32:45.120
<v Speaker 1>we're running along here. Let's just ask maybe one more question. So, uh,

0:32:45.280 --> 0:32:47.520
<v Speaker 1>for those people that are listening and you know, they're

0:32:47.560 --> 0:32:51.680
<v Speaker 1>not sure where they're at investing, trading, Like you said,

0:32:52.000 --> 0:32:53.760
<v Speaker 1>in trading, it can be very difficult. It takes a

0:32:53.760 --> 0:32:56.440
<v Speaker 1>lot of i q um. But for people who think

0:32:56.480 --> 0:32:58.920
<v Speaker 1>they would want to try and do better than just

0:32:59.160 --> 0:33:02.480
<v Speaker 1>buying and holding blindly, what would you recommend for them?

0:33:02.520 --> 0:33:04.760
<v Speaker 1>I mean, should they stay away from trying to buy

0:33:04.760 --> 0:33:06.600
<v Speaker 1>in and out at all? Or is there some really

0:33:06.640 --> 0:33:11.440
<v Speaker 1>basic stuff they could do or what would you recommend? Yeah? So, um,

0:33:11.560 --> 0:33:14.400
<v Speaker 1>first off, I would recommend at least trying to learn

0:33:14.440 --> 0:33:18.240
<v Speaker 1>technical analysis because it makes investing so much easier when

0:33:18.280 --> 0:33:20.200
<v Speaker 1>you can actually, you know, be able to look at

0:33:20.200 --> 0:33:23.120
<v Speaker 1>a chary understand where the trend lines are, where where

0:33:23.160 --> 0:33:27.760
<v Speaker 1>the support and resistance is um And for me, the

0:33:27.840 --> 0:33:33.960
<v Speaker 1>easiest and most brain dead strategy is by when it's

0:33:34.000 --> 0:33:37.400
<v Speaker 1>above the two day moving average and sell when we

0:33:37.440 --> 0:33:41.280
<v Speaker 1>break the two day moving average. That strategy is just

0:33:41.360 --> 0:33:44.239
<v Speaker 1>so simplistic and obviously you don't have to sell right

0:33:44.240 --> 0:33:47.360
<v Speaker 1>when across the tunter day moving average. It's a lagging indicator,

0:33:47.960 --> 0:33:52.280
<v Speaker 1>but it's such a simplistic way to uh, to be safe,

0:33:52.400 --> 0:33:54.320
<v Speaker 1>to be on the safer side, because when it breaks

0:33:54.320 --> 0:33:57.720
<v Speaker 1>that tuorter day moving average, typically the intermediate the mid

0:33:57.840 --> 0:34:00.520
<v Speaker 1>term trend is up and one as we break that

0:34:00.560 --> 0:34:04.000
<v Speaker 1>to a moving average, typically it has you know, six

0:34:04.200 --> 0:34:07.680
<v Speaker 1>especially bitcoin, uh, you know, six to eighteen months of

0:34:07.680 --> 0:34:10.799
<v Speaker 1>of a nice up trend, and it just keeps you out,

0:34:11.480 --> 0:34:16.080
<v Speaker 1>It keeps you out of trying to buy every single bottom,

0:34:16.160 --> 0:34:20.040
<v Speaker 1>trying to time. The other aspect is um as you know,

0:34:20.200 --> 0:34:23.799
<v Speaker 1>dollar cost averaging. But my my, my strategy is not

0:34:23.960 --> 0:34:27.640
<v Speaker 1>dollar cost averaging. At any point in time, I try

0:34:27.640 --> 0:34:31.640
<v Speaker 1>and dollar cost average as close as possible to the

0:34:31.760 --> 0:34:36.040
<v Speaker 1>two hundred weekly moving average, because that is a historically

0:34:36.080 --> 0:34:39.759
<v Speaker 1>a very very strong reversal point on in any market. UM.

0:34:40.000 --> 0:34:42.280
<v Speaker 1>And so when when you look at bitcoin, Bitcoin actually

0:34:42.320 --> 0:34:46.000
<v Speaker 1>bottomed out at the level on the two hundred weekly

0:34:46.040 --> 0:34:50.080
<v Speaker 1>moving average, and so did Amazon. Amazon pulled back hundred

0:34:50.120 --> 0:34:53.480
<v Speaker 1>weekly moving averages where it bounced, uh the SMP five hundred,

0:34:53.480 --> 0:34:55.719
<v Speaker 1>two hundred weekly moving average. And so if you can

0:34:55.800 --> 0:34:58.879
<v Speaker 1>dollar cost average as close to possible as that two

0:34:58.920 --> 0:35:01.879
<v Speaker 1>hundred weekly moving average, UM, I think that's where that's

0:35:01.920 --> 0:35:04.879
<v Speaker 1>where most of the money can be captured as close

0:35:04.880 --> 0:35:07.279
<v Speaker 1>to the bottom as possible. And uh, and when you

0:35:07.320 --> 0:35:11.000
<v Speaker 1>break that, you under weekly moving average to the downside, UM,

0:35:11.040 --> 0:35:14.800
<v Speaker 1>that's where it you may be entering a price discovery mode.

0:35:14.840 --> 0:35:17.719
<v Speaker 1>And I would, UM, I would wait until that's recaptured

0:35:17.719 --> 0:35:19.640
<v Speaker 1>before I would really start putting a lot more money

0:35:19.640 --> 0:35:24.520
<v Speaker 1>in UM. Personally, So to summarize that, you think the

0:35:24.560 --> 0:35:27.439
<v Speaker 1>average person could start by just learning one simple thing,

0:35:27.520 --> 0:35:30.360
<v Speaker 1>like a moving average strategy and maybe just try to

0:35:30.400 --> 0:35:34.000
<v Speaker 1>like get good at that before they overcomplicate things. I

0:35:34.040 --> 0:35:37.879
<v Speaker 1>think that so I've I've run the gamut right when

0:35:37.880 --> 0:35:40.800
<v Speaker 1>I started. I started in options and options is pretty complex.

0:35:40.840 --> 0:35:43.160
<v Speaker 1>You have to learn all these different strategies, the straddle,

0:35:43.200 --> 0:35:45.640
<v Speaker 1>the the iron condor. I mean, there's all kinds of

0:35:45.680 --> 0:35:48.600
<v Speaker 1>different names for him hedging, you know, buying longs and

0:35:48.600 --> 0:35:50.319
<v Speaker 1>puts at the same time, breaking, I mean, all kinds

0:35:50.320 --> 0:35:53.280
<v Speaker 1>of different stuff. Then I went into you know, price

0:35:53.320 --> 0:35:56.560
<v Speaker 1>action trading. Then I went into UH indicator analysis, and

0:35:56.600 --> 0:36:01.040
<v Speaker 1>then I went into geometric sacred geometry like again, analysis,

0:36:01.040 --> 0:36:03.880
<v Speaker 1>fractal analysis, fractal energy, I mean, all kinds of stuff.

0:36:04.280 --> 0:36:07.080
<v Speaker 1>And after all that, ten years of learning all these

0:36:07.080 --> 0:36:09.320
<v Speaker 1>crazy things and pain, probably a hundred thousand dollars to

0:36:09.480 --> 0:36:12.360
<v Speaker 1>mentors and courses and all, my strategy has really just

0:36:12.400 --> 0:36:15.440
<v Speaker 1>come down to really really simple things. Our side, moving averages,

0:36:15.480 --> 0:36:17.719
<v Speaker 1>support and resistance. I mean that's basically all I use

0:36:17.800 --> 0:36:20.480
<v Speaker 1>for almost everything. And then I've just built a strategy

0:36:20.480 --> 0:36:22.120
<v Speaker 1>in a system around it that gives me a better

0:36:22.200 --> 0:36:25.680
<v Speaker 1>edge than So. Yeah, so after going through all that stuff,

0:36:26.000 --> 0:36:29.439
<v Speaker 1>really and what I would really say is find one

0:36:29.480 --> 0:36:33.359
<v Speaker 1>thing and master it. Whether it's our side, whether it's

0:36:33.400 --> 0:36:36.040
<v Speaker 1>moving averages. Find a guy who wrote a book on

0:36:36.080 --> 0:36:38.400
<v Speaker 1>moving averages. Find a guy who's made you know, millions

0:36:38.400 --> 0:36:41.840
<v Speaker 1>of dollars on just moving averages and study it. What

0:36:41.960 --> 0:36:44.800
<v Speaker 1>most people do is a hop from system to system

0:36:44.840 --> 0:36:48.800
<v Speaker 1>to system to system, and they never really take enough

0:36:48.840 --> 0:36:52.440
<v Speaker 1>time to master that one thing, um, you know. And

0:36:52.719 --> 0:36:55.520
<v Speaker 1>that's what I would say, is just focus on one indicator.

0:36:55.640 --> 0:36:58.680
<v Speaker 1>One makes me think that Bruce Lee quote right, like

0:36:59.320 --> 0:37:01.240
<v Speaker 1>a fear of the man, and who's practiced one minute

0:37:01.280 --> 0:37:03.920
<v Speaker 1>one kick ten thousand times, not ten thousand kicks one

0:37:03.920 --> 0:37:06.400
<v Speaker 1>time or something like that exactly. And that's that's the

0:37:06.440 --> 0:37:08.319
<v Speaker 1>problem that I see with most traders. They literally just

0:37:08.360 --> 0:37:10.759
<v Speaker 1>hop system to system to system the system and they

0:37:10.800 --> 0:37:14.919
<v Speaker 1>never they never master any one thing. But I think

0:37:14.920 --> 0:37:17.080
<v Speaker 1>the biggest thing is, you know, they have to all

0:37:17.120 --> 0:37:19.240
<v Speaker 1>these different systems because they're trying to find a system

0:37:19.320 --> 0:37:21.640
<v Speaker 1>that fits for them. And that's like I said, skill level,

0:37:21.680 --> 0:37:24.480
<v Speaker 1>time commitment. Um. You know, most traders they come in

0:37:24.560 --> 0:37:27.040
<v Speaker 1>and they only have an hour a day. You know,

0:37:27.080 --> 0:37:29.279
<v Speaker 1>they're part time, they're working and there you know, and

0:37:29.320 --> 0:37:31.279
<v Speaker 1>maybe some some people that are listening, you know, they're

0:37:31.280 --> 0:37:34.440
<v Speaker 1>they're they're at you know, they have job, they have families.

0:37:34.640 --> 0:37:36.880
<v Speaker 1>They can't stay in front of a trading terminal twelve

0:37:36.920 --> 0:37:39.160
<v Speaker 1>to eighteen hours a day like I can. Um. And

0:37:39.320 --> 0:37:43.359
<v Speaker 1>I think that's a big part of of finding those systems. Great. Yeah,

0:37:43.560 --> 0:37:45.920
<v Speaker 1>that's uh, that's that's good advice right there. Just look

0:37:45.960 --> 0:37:48.600
<v Speaker 1>at the moving average. Learn one thing. I know you've

0:37:48.680 --> 0:37:50.120
<v Speaker 1>you like you said, you've kind of boiled it down

0:37:50.160 --> 0:37:51.759
<v Speaker 1>to three or four things that you're good at. Now,

0:37:52.000 --> 0:37:54.040
<v Speaker 1>well ahead and wrap this up now. I know you

0:37:54.560 --> 0:37:57.160
<v Speaker 1>just put out something on trading View that rapidly rose

0:37:57.160 --> 0:37:59.000
<v Speaker 1>to the ranks number one on Trading View and it

0:37:59.120 --> 0:38:02.080
<v Speaker 1>kind of actually shows when to buy and sell using

0:38:02.360 --> 0:38:05.560
<v Speaker 1>just maybe two strategies. So recommend people to go check

0:38:05.600 --> 0:38:07.359
<v Speaker 1>that out on Trading View. I think you also have

0:38:07.480 --> 0:38:09.960
<v Speaker 1>like a real kind of like introductory course on t

0:38:10.160 --> 0:38:11.840
<v Speaker 1>A that people can jump in. Do you want to

0:38:11.880 --> 0:38:15.160
<v Speaker 1>talk about where people can find out more about you? Yeah?

0:38:15.200 --> 0:38:17.600
<v Speaker 1>I reallysed this course. It's called the twenty one Day

0:38:17.600 --> 0:38:20.279
<v Speaker 1>Crypto Trader Challenge, And what it is is it's a

0:38:20.680 --> 0:38:23.799
<v Speaker 1>it's twenty one days of of study to learn how

0:38:23.840 --> 0:38:26.000
<v Speaker 1>to trade cryptocurrencies. And what it was is it's not

0:38:26.080 --> 0:38:29.240
<v Speaker 1>designed to create to make you into this advanced trader.

0:38:29.280 --> 0:38:32.120
<v Speaker 1>It's it's really designed to just create a foundation of knowledge.

0:38:32.480 --> 0:38:34.120
<v Speaker 1>And so the biggest thing that I see is most

0:38:34.120 --> 0:38:37.560
<v Speaker 1>people they jump into trying to learn technical analysis. And

0:38:37.640 --> 0:38:40.440
<v Speaker 1>technical analysis is one part of about eight parts of

0:38:40.560 --> 0:38:43.200
<v Speaker 1>a good trader. UH. The other parts that I think

0:38:43.239 --> 0:38:49.320
<v Speaker 1>are even more important are UH psychology, discipline, risk management.

0:38:49.400 --> 0:38:51.719
<v Speaker 1>Risk management is very key. There's an entire module on

0:38:51.840 --> 0:38:54.279
<v Speaker 1>risk management. When it comes down to UH, you know,

0:38:54.520 --> 0:38:59.480
<v Speaker 1>basically win loss ratio, your position sizing, UM, all those

0:38:59.480 --> 0:39:02.799
<v Speaker 1>different things, and then tracking your trades. And so what

0:39:02.840 --> 0:39:04.880
<v Speaker 1>I did was I put this twenty one day Crypto

0:39:04.880 --> 0:39:07.360
<v Speaker 1>Trader Challenge, and I priced it very very affordably. I

0:39:07.400 --> 0:39:10.319
<v Speaker 1>wanted everybody to be able to UH to join, and

0:39:10.360 --> 0:39:12.680
<v Speaker 1>it's only a hundred bucks. And what it does, it

0:39:12.680 --> 0:39:14.680
<v Speaker 1>just gives you everything you need to know about how

0:39:14.719 --> 0:39:16.920
<v Speaker 1>to you know, how to basically build a foundation of

0:39:16.920 --> 0:39:18.360
<v Speaker 1>knowledge for trading. And then what you can do is

0:39:18.400 --> 0:39:20.759
<v Speaker 1>you can take all that information and then start to

0:39:20.880 --> 0:39:24.600
<v Speaker 1>learn the more advanced strategies like actual how to build

0:39:24.600 --> 0:39:27.120
<v Speaker 1>out a trading plan. But you at least you're introduced

0:39:27.160 --> 0:39:30.799
<v Speaker 1>to all these concepts and you can master the foundation

0:39:30.920 --> 0:39:33.080
<v Speaker 1>or the you know, the building blocks, and then you

0:39:33.080 --> 0:39:35.520
<v Speaker 1>can go out and become really really good traders. So yeah,

0:39:35.560 --> 0:39:39.280
<v Speaker 1>Crypto Trading Challenge dot com we do one once about

0:39:39.280 --> 0:39:41.720
<v Speaker 1>every three months. We take on a bunch of traders.

0:39:41.960 --> 0:39:43.239
<v Speaker 1>They go through the course and then we do a

0:39:43.280 --> 0:39:47.120
<v Speaker 1>live Q and a session afterwards. Cool and trading View

0:39:47.200 --> 0:39:50.160
<v Speaker 1>is just Jacob Canfield. I think trading View dot com

0:39:50.360 --> 0:39:54.840
<v Speaker 1>slash you slash Jacob Canfield, um, and then yeah Twitter

0:39:55.080 --> 0:39:58.760
<v Speaker 1>Jacob Canfield. Cool. All right, thanks so much, Jacob, appreciate

0:39:58.760 --> 0:40:02.680
<v Speaker 1>you coming on. It's great talking to you. Thanks guys. Hey,

0:40:02.760 --> 0:40:05.680
<v Speaker 1>if you like this episode of The Market Disruptors Podcast,

0:40:05.840 --> 0:40:08.239
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0:40:11.239 --> 0:40:14.560
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0:40:14.640 --> 0:40:17.160
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0:40:17.200 --> 0:40:20.360
<v Speaker 1>more people and disrupt more markets. I really appreciate you

0:40:20.400 --> 0:40:22.560
<v Speaker 1>listening and I'll see you next time on The Market

0:40:22.560 --> 0:40:23.560
<v Speaker 1>Distructors Podcast.