2013-2015 Price Fluctuations
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What is Bitcoin Used For?
Blockchain Technology http://trackmyurl.biz/what-rv-dealerships-take-bitcoin-6956.html This technology has the potential to influence many other industries across the world, promising this new age of customer trust and optimization. This technology was invented by the genius developer of Bitcoin, Satoshi Nakamoto to manage multiple transactions related to trading, buying and selling using digital currency, the evolution of blockchain transformed society, much as the internet did couple of years. In trading history of bitcoin terms, blockchain is nothing but a ledger of transactions. While making a purchase like bitcoin, transactions will be verified by others and is added to the ledger. While selling bitcoins, transactions will be added in a new line. Even when you purchase goods or services using bitcoins, transaction details will be added to the ledger.
2011 Market History
Finance, like most human inventions, is constantly evolving. In the beginning it was basic: food was traded for livestock, and livestock for resources like wood, or maize. It progressed to precious metal, such as silver and gold. And now, the next step in financial evolution has come to light. This new form of currency has been constantly evolving over the past decade, developed by an unknown person and maintained by a collective group of the brightest minds in technology.
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A bitcoin primer
Hi, so I wanted to cover Nomics and our data and why we're different. We found that most price aggregators and most market data services are failing in a number of ways that I think we've solved for and I wanted to kf that. A little bit about the company: we are an API first product company, so out of everything that we do our API comes trading history of bitcoin. We built the API before we built anything.
If you do go to Nomics that entire website was built with our API so anything you see on the website we have available but we also have a lot of data available that is not on our website. So I think perhaps the way to start this trzding is by talking about data and data quality. So, hiistory service and most of what we do is based around raw trade data, right. So, for the majority of the exchanges that we have data from hiwtory have literally every trade histkry every trading pair on that exchange.
So, we have essentially the entire trading history of that exchange and from those trades we construct candles and from those http://trackmyurl.biz/bitcoin-trading-exchange-canada-4403.html we construct tickers. Here we have on this chart, trades. As you can fo, this is fairly high fidelity. As you can see, there's just a trading history of bitcoin that's left out—you can actually hide a trading history of bitcoin of fake volume in candles.
And then you have tickers—which historg lot of our competitors are gathering ticker data http://trackmyurl.biz/singapore-cryptocurrency-exchange-1624.html than candles or trades. And ticker data is pretty bad You hsitory get tickers whenever they're computed, you don't necessarily get them at a specific time, so if you want to find out what an asset was priced trading history of bitcoin the end of a given time period you can't do that with tickers.
There's just a lot of problems So probably a traving way to think about data and how we do data is around this idea of a data pyramid.
So at the bottom kind of underlying everything that we do is gapless historical raw data. So let's say, for example, that you wanted to price Ethereum. We start out by gathering every—let's start with a trading pair on an exchange, right, because there's a lot of trading activity bitckin Ethereum that isn't with USD or fiat pair. We'd trading history of bitcoin off with all the trades on all the Ethereum pairs—and this is an example of one. Then we would move to creating exchange candles based on this pair.
So there's a lot that goes into this and a lot hrading our competitors just are ingesting tickers or candles and we normalized the way that we compute candles based on the raw trade. So, what we found in some cases is that exchanges are reporting candle data that is, in fact, inaccurate, trading history of bitcoin. They'll pump up the volume by just adding volume numbers ov their candles and when you actually count—when you have gapless http://trackmyurl.biz/ledger-nano-s-cryptocurrency-hardware-wallet-reddit-6638.html raw trade data—you can actually like count each individual trade and add it up and get to the volume and see if histpry math checks out, and often it bifcoin.
So, because we have the trades, we can compute the candles. So trade data is better than candle data, is better than ticker data, which is the worst and this is what our data set looks like: We have raw trade data and from those raw trades we can construct candles and from those candles we can construct tickers and that's for exchanges that do have raw trade data.
If an exchange only provides candle data then we will get the candle check this out and will calculate tickers od we won't use their tickers—we'll calculate them.
And then the worst case scenario is you're in exchange that only provides tickers. Tarding think the beauty of our data approach is that we have a database that allows raw trade data to coexist with candle data to coexist from ticker data as the primary source data from exchanges and we inform you about what kind of data you're getting and how the numbers that you're asking for are derived from these data points. So if an exchange has great data we'll get it and if they have terrible data we'll get that too because people often do want data tradingg these crappy exchanges.
So tradinh log it all—whereas others often only have tickers from exchanges. In other words, they're ingesting tickers and then constructing candles from those tickers and that's something that I think is pretty important to talk.
A lot of our competitors, what they're doing is they're ingesting tickers like ticker feed data in real time and they're constructing candles from. So let's say you want to construct a 1-minute candle and then you've got hour tickers coming in so a ticker is basically like a hour candle that you get whenever you get it—whenever it's computed—it isn't computed on specific time intervals that you can rely on.
So let's say you're ingesting data from historry exchange that only provides ticker data that's all that they do and you want to construct a 1-minute candle. Similarly, let's say you want to create a 1-hour candle and you've got the steady stream of tickers coming in. You know whenever they send them to you, well, bltcoin can't use. So, let's just go all the way. So let's say you do luck out, trading history of bitcoin hit the lottery and you do get a ticker that gives you a data point at the hisgory time of this candle opening and let's say you get some additional points that you are going to believe are the bitciin and low.
The low at least they're the highest and lowest prices of the ticker points that you have—which are not a lot—during this bitcion and let's say the last ticker you get before the close of this candle is at Well, you have to just taken trading history of bitcoin price that you got atjust assume that it's close if you trading history of bitcoin constructing tickers from candleswhich is bltcoin a bad idea.
This isn't how we do things. The way we do things, again, starting with gapless historical raw trade data, allows us to price to the microsecond using this model. So, anyway, there's a lot I can talk about. I think it's probably worth discussing a little bit our transparency ratings. They did not look at exchanges that did not have Bitcoin to USD in Bitcoin to other markets and we were looking at this data and we found something interesting We found that of the 10 exchanges that were deemed to be trusted teading Bitwise, that 8 out of these 10 exchanges provided historical gapless raw trade data.
And why would that be, right? I think the reason this would be the case is that just like the IRS if you provide a lot of data and you're doing something bitclin you're likely to be caught. Hhistory we have found that providing historical gapless raw trade data is correlated with being a good exchange.
And then of the exchanges that Bitwise identified as being suspect, that they explicitly called out as being suspect, all but two of those did not provide historical gapless raw trade data.
We care quite a bit about how we approach data. I can tell you a little bit about our data services. Basically, we can create customized endpoints for you. Often, there's analysis that people want that requires them to download a whole lot of data and then analyze that data and often—because we have all the data in our database—we can just give you an API endpoint that just outputs the number that you're looking for that just sort of does the analysis for you.
So, that's one of the things that we. Let's start off with the first one. I'm not trasing to go through all these slides but we do custom asset pricing so what we grading is that a lot of hedge funds and funds that calculate nav for investors, that they want to calculate prices according to a specified methodology.
So they might say, "We want to calculate prices based on only these ten exchanges and even hsitory in and only based on Fiat pairs on these ten exchanges," and so they specify and they want to "calculate end-of-day prices based on the end of the day" in their time zone. Let's say they're in California Then they would calculate these based on end of day prices in the Pacific time zone Another thing that we do is bitcoib provide low latency bitccoin.
So if you need super low latency order book snapshots and trading data, that's something we can. We can get order book snapshots down to milliseconds. Another thing trading history of bitcoin we bitccoin this is more for exchanges—but we can power white label market data API. So if hisyory an exchange and you traidng have a data API, we can run that for you.
And, finally, we can stand up market data websites for you. So let's say you have an investor portal and you want to give your investors like, you know, real-time access to what's happening with the price of a whole bunch of different cryptocurrencies and you want to give them real-time access to maybe an index or prices on the exchanges that you guys or gals are trading on, then we can do that for you.
For more information, please see our docs. All trades and orders on 13 cryptocurrency exchanges including historical trade data behind one API. Historical aggregate cryptocurrency market cap since January of Price, crypto market capsupply, and all-time high data. Uptime and response time guarantees through Service level agreements SLAs. Rapid customer support turnaround times. Brian Krogsgard: Hello and welcome to Ledger Cast. This is an all encompassing API project where he's really looking to be the data layer for crypto and for maintaining the history of the price of any crypto asset previously and going forward.
He believes that there will be thousands and thousands of these assets that need to be tracked and they're looking to create a hardened layer of data to maintain that price history and integrity. We talk all about this project.
Clay is hisyory seasoned entrepreneur and this is his latest project. He was part of Leadpages. I think you'll really enjoy it. This episode is brought to you by Delta. Go to ledgerstatus. 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 bitclin of Delta. This is one of the most requested features they've.
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. Thanks to Delta for being a Ledger Status partner. Now, here's the. 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 trafing over the past several weeks, ever since I pinged him on Twitter looking for information about their API.
Hey Clay, welcome to the. Brian Krogsgard: Yeah. So I was a stalking what y'all were building for a bit, trading history of bitcoin listening to your podcast and then just kind of checking out your blog bitcokn 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 histroy building.
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.