Get bitcoin exchange rate api

I think you'll really enjoy it. This episode is brought to you by Delta. Go to ledgerstatus.

exchange rate - Bitcoin's real-time Buy and Sell price API - Bitcoin Stack Exchange

They have some really great stuff going on right now because they just released live order books and depth charts. It's all in the latest version of Delta. This is one of the most requested features they've had. So I'm really excited to be able to share with my listeners that that's now available because I know a lot of technical traders want to be able to check out the order books, get an idea of depth on the price a while they're looking at their portfolio. They've got that and so much more. Thanks to Delta for being a Ledger Status partner.

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Now, here's the show. Brian Krogsgard: Hello and welcome to the Ledger Cast. He's the co-founder of Nomics and nomics. Clay and I've been talking a good bit over the past several weeks, ever since I pinged him on Twitter looking for information about their API. Hey Clay, welcome to the show. Brian Krogsgard: Yeah. So I was a stalking what y'all were building for a bit, between listening to your podcast and then just kind of checking out your blog posts and your newsletter and all that kind of stuff.

And then I was actually looking to potentially use your API and we're gonna dig into this about what Nomics is, why you're building what you're building.

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And you responded to me in like record time and it required y'all to potentially build a new feature and you're like, "Yeah. We'll have that like tomorrow. And I'd like you to fill in for everyone else, like what the heck is Nomics at a thousand foot view? Clay Collins: Yeah. So, great question. There's two components of Nomics. The front end, which is at nomics. We're gonna eventually open source completely the front end as well as iOS and Android apps.

And not only do we have ticker data, but we have multiple candlestick links on the back end for aggregate market, so all Bitcoin markets, all Ethereum markets, et cetera. But we have candlestick data for individual markets for example, like the [inaudible ] market on Poloniex for example.

So we've got aggregate candlestick data and we have data for individual markets on individual exchanges, and we have every single trade on all of those markets, on all of those exchanges going back to the inception of those markets. It's fast, it's free and you can sign up and get an API really quickly and be in business.

And something that I think is worth noting is that everything you see on nomics. So there's no back doors, there's no hidden in points. We're consuming this exactly like a customer is. So we're a big believer in dog fooding and being a customer of our own products. And that was one of the rules that we put in place from day one, is that we couldn't do anything with our app that our customers couldn't do with the free version of our product. Brian Krogsgard: Nice. So at a baseline you are providing data specifically around coin data at a high level and then very specific data in terms of pricing on a daily basis, and I think an hourly basis at a core.

I think what I actually asked you all about in that thing was whether y'all could do So that was something else that y'all were looking to add and now people can use this to build something just like nomics. Brian Krogsgard: This is essentially just a massive data feed, but instead of me going and saying, "Hey, I want this data from a Poloniex. Your dealing with all the hassles of getting data off an exchange, so that I don't have to integrate with every single exchange in the world and instead I integrate with Nomics and I'm good to go.

So I think you summarized that correctly. I think kind of accompany that were similar to is a company called You know what actually, I won't get too much into that. So basically, one of the The problem that we're solving for is a problem that kind of came up a lot in conversations when we were talking to hedge funds and family offices and institutional investors, which was, they'd hire a pretty fancy developer to do data science work, to find edge and opportunities in the data sets.

And their developer that they'd hired for that purpose would end up spending much of their time rather than finding opportunities in the data set, just maintaining those data sets. So if you spend much time at all ingesting data from these exchanges, you'll find that ticker symbols change from exchange to exchange, and then the exchanges themselves will change a ticker symbols.

They'll change their data schemas without telling you, their data feeds will turn off and then they'll come back on again, there's lots of downtime. Clay Collins: And so if you're just ingesting data from one of these exchanges and you're okay with dealing with just a bunch of friction, then I think it's probably okay.

The second you want to ingest data from multiple exchanges, things get a lot trickier.


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And when we started in this business, we just Clay Collins: Exactly, exactly. So you're having to integrate with more and more of these exchanges to get an accurate picture of what's happening-. Brian Krogsgard: So the long tail The long tail of a global trading is getting larger basically.

Clay Collins: Yep, exactly. So there's lots of just real oddities when integrating with these exchanges.

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For example, some exchanges when their APIs go down because of the way they're cashing works, they just persist the last candle. So they'll give Other exchanges do things like We were looking at an exchange the other day that had a market called USD Like what the hell is going on here? There's just a lot of bizarre stuff happening in this space.

So we wanted to create a super professional lightening fast API and that's what we're solving-. Brian Krogsgard: Out of of curiosity on that exact pair, were they basically seeking to provide a trading pair between to different stable coins in order to smooth the market on their own platform? Clay Collins: So one of those was the [inaudible ] market and one of those was a stable code. You just didn't know which-. Clay Collins: Because The blend of stable coins is super interesting to me, like the way And trying to find out like what's gonna be supported, how do we measure stuff like that.

I even saw one the other day where So they are creating kinda index funds on the go and one of their funds is actually a stable coin blend. So if you buy their stable coin blend, I guess their whole point is like you're buying the average of all the stable coins so that it will be stabilized to stable coin mix to be even closer to a dollar.

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Brian Krogsgard: There's just a lot of effort going into people trying to call a dollar a dollar in crypto, which I And I think it's perhaps just a bit of a signal for how difficult data is in not only this space, but pretty much any space. And I'm fascinated by this play because there's so much opportunity I think as the ecosystem grows and I never had heard what you said earlier about just how much trading is going on on the long tail.

Because when you think about like, "Hey, where are people trading crypto? You hear that they're on Binance and that they're on Coinbase and to a lesser degree, Bittrex and Poloniex, and then you've got some Asian exchanges that are doing a lot of trading, but you don't actually know if it's real for some of them. Brian Krogsgard: And keeping track of all of it is really difficult. I come from a development background. You come from a web background. I actually knew who you were in your prior company, which is Leadpages by the way, for anyone listening from the web space.

So how did you transition from building a big company So that's a great question.

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So to speak to my previous history or what I was doing before this, my first software company was a company called Leadpages that was started in January of From to , we grew that to about 50, paying customers. We raised 38 million in venture capital, hired hundreds of people, had a really good go there. Something I realized about myself is that I think I cap out at around people in terms of company size and my ability to manage at scale.

At some point you're managing people and then you're managing people who manage people and then you're managing the people who manage people who manage people. And I really liked that spot of like between 80 people to people. So perhaps I can scale beyond that with my second software company, but at some point I just kinda went to the board and said, "Hey.


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