crypto currency charts apio

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Crypto currency charts apio most profitable cryptocurrency 2021 nfl

Crypto currency charts apio

Most crypto market data APIs come with high monthly fees, no customer support and low monthly quota. At coinlayer one of our pricinples is to support companies and teams of any size. Sign Up Free Learn more. Real-time data from: UTC. High: 10, Join the global standard in crypto data Using coinlayer you are building on top of a rock-solid crypto exchange rates source — unparalleled in accuracy and consistency. Rock-Solid Sources Our crypto rates API is powered by a series of reliable crypto exchange providers, ensuring the highest level of accuracy.

Historical Data See how cryptocurrencies have developed over time by querying the API for historical data all the way back to the year I'm not going to name an exchange, but the kind of fraud that we see most frequently occurring is when trades happen like far above the spot price. You've got the bid ask spread.

You've got the spot price, which would be a market order. It would be the bid jump way across the ask and purchase something like way over here. Clay Collins: So if you see those charts it's like jumping across the gap. So they'll be really paying some absurd amount for bitcoin, or whatever the crypto asset is, but buying a tiny amount of it at some insane price, and we're like there's no way an order book should let this happen. So that's what we see most frequently.

Brian Krogsgard: I've seen that specifically when people list a coin. They do that weird stuff and you see the massive first bar for some unknown reason. Then two other scenarios I've seen, one was when Binance had the Syscoin hack and shenanigans that they did recently, someone stole 11 Syscoin for 96 BTC each. I don't know if they skipped through the entire order book, like if it was just thin so that they spiked it to that level or what.

But then the other scenario that I've heard that's fascinating to me is sometimes you can do that through exchange APIs because a lot of times the way you show an order book in a RESTful API is actually it shows every single one and then you can pluck the individual order. Brian Krogsgard: So it allows you to essentially skip the order book, whereas typically a limit order's going to choose the lowest one or a market order is going to pull from the bottom or whatever.

But I've heard there's some exchanges where they have funkiness in their API that would also allow something like that. If you have really thin markets and you put in a market order then it could just be that it blew past all the sell orders and jumped to some super high price. But I can see what you're talking about with the APIs. You can pluck a specific order, although I don't know why someone would do that. That would just make no sense. So it could just be a crappy programmer somewhere.

But I don't know why a crappy programmer at a hedge fund is buying Syscoin for several bitcoin each. I just can't see any-. Brian Krogsgard: Yeah, I think in that example it was something related to the hack that they had and it was just a hot mess.

Brian Krogsgard: I am curious. Y'all have a ton of data between the pricing data, candle data, exchange rates I'm just looking through some of your documentation right now. Since you came from a marketing background, how did you even know like here's the data that we need to put into this API? How do you know what to provide and how to build it? Clay Collins: Yeah, so I'm a product person first and foremost.

So we get it by talking with customers. But we're also traders ourselves. So we know it from that perspective and we create stuff that we want to dog food ourselves. It's really about talking to customers a lot, doing stuff like we did with you on Twitter where you asked for a feature and like okay, we're going to build it.

Or when we're talking to customers sometimes they'll say "Hey, we want this, but in order for this to really work for us we need you to add this additional thing. Clay Collins: So it's just about talking with the customers all the time and I'm on the phone multiple times per week with institutional traders, developers and trying to learn everything I can about making a solid product. I think kind of the DNA you have to have to make this kind of product is very different from the average product in this space.

There's a lot of hackathon developers. There's a lot of kind of young dudes in their 20s spitting stuff up over the weekend. And to create a data product and a data platform I think it requires a certain level of discipline. So every single line of code has a unit test that covers that code.

Brian Krogsgard: Which means, for non-programmers, that means that what he says is going to happen has been tested via a whole nother slate of programming tools to verify that that's what happens, because he said it was going to happen. I don't know if that described that well. Clay Collins: Yeah, we have just as much code testing the app, as the app itself.

Which means that myself as a non-developer, my CTO or someone else on the team will often send me a version of the app and I'll log into GitHub and deploy to production without anyone manually testing it. So it's just a certain level of rigor. It's not something that most people have the stomach for because it's slower at first, but it pays off in spades down the road. Brian Krogsgard: Let's take a break, say thank you to our partner for this episode, Delta.

Go ledgerstatus. This is the best way to track your portfolio in crypto, bar none, guaranteed. And you know they've got some great new features. The last two releases have just been chock full of stuff. Live order books and depth charts, number one on the request list for people that I've talked to who said that they like Delta but they want more. That's the biggest thing they've wanted.

You've got that now. Brian Krogsgard: I think they support like a dozen exchanges so that you can see the actual order book, the depth charts, recent trades, all that stuff, right there in the app. It's really great. They've just released portfolio analytics as well and I've thought this was really cool because I can go back and it'll actually tell me, if I'm a pro user it tells me even more, but it tells me stuff like what exchange are my coins on or what wallet is it in and it gives me these really nice graphs with all of that information, with a lot of analytical data.

It also even tells me what's a good trade or a bad trade. So if I sold something and it's gone down since then it'll tell me hey that was a good sell because it's gone down since then. Brian Krogsgard: It gives you some insights on your past decision making to let you know if you've done a good thing or a bad thing with that trade. Just give you a little more information about your trading and so that you can learn more to be a better trader.

Brian Krogsgard: Delta's really awesome. They're always working on cool stuff. Somebody may be listening to this and they might just say okay, so you want to provide data for hedge funds or for traders or people that want to build something like nomics. You have to be dreaming up more that this will be, in terms of the entire market, beyond a whole bunch of weird crypto assets that most should die. Other than Bitcoin, Ethereum, and some large caps, do we really need this data?

What else do you imagine in terms of being able to fit into your ecosystem? You have a grand vision of the future it seems. Clay Collins: Yeah, totally, totally. There's a couple of functions that we want to serve. One is want to be like the internet archive of the new financial system. So archiving all of these dead coins, all of these markets that have expired, we want to tell the story and the history of what was happening when all of this started to come onto the scene.

I think a second thing is that Perhaps this is overkill for what we have right now, but what we're intending to build is the data backbone for the new financial world, for the open financial system. Clay Collins: And we take that very seriously. Also, the think right now there's not a lot of data. Perhaps there is. We've indexed billions of trades. And multiple versions of local bitcoins that are reporting their data. Then OTC desks. And then add to that security token exchanges. Clay Collins: So imagine someday every single local coffee shop, pizza shop, anyone who wants to fundraise in this way, every single building in your city has a token and that token is perhaps traded on some kind of local exchange, there's just going to be an explosion of exchanges.

And then add to that order book data. So data for orders that haven't been filled or have been canceled or maybe the order's been placed and that order converts to an actual trade and then add to that blockchain data and you have a huge undertaking in terms of-. Brian Krogsgard: And that's all underlying physical product.

That's the asset itself. That doesn't even get into a future where there's derivative products or futures or options. There's a whole nother set of trades and orders and everything. So y'all want to support all of that someday right? Clay Collins: Oh, no, and we are. And we have specs to handle that right now. So if you're from a blockchain project, if you're from an exchange, if you're from an OTC desk and you want to integrate your data with us, let us know.

We have specs for you to write to. If you can stand up three endpoints, pretty simple endpoints, we can give you a heck of a lot of exposure. So yeah, we're doing all of that and then add to that different indexes. So each of those bots are going to have their own rankings. There's quite a future.

Brian Krogsgard: This seems like an exponential explosion of data that's going to be on your ecosystem. How are you looking to be able to scale that? Like is this built on just a regular old database? I mean what's this look like? Clay Collins: So kind of the latest is using Kafka and Cassandra and that's what we're building on. We're not using Microsoft Access. Clay Collins: Kind of these large nonrelationable wide column store databases that can handle trillions upon trillions of data points.

That's how you got to do it. Brian Krogsgard: And then I don't want to get too much in the weeds. There's no rate limiting. So we cache the hell out of our endpoints. So you can hit us as hard as you want. We don't care. Go nuts. A lot of people charge quite a bit for these sort of uncapped non rate limited APIs, but yeah we won't rate limit. That's another thing that no one else will do that we do is we don't rate limit.

Brian Krogsgard: And you're just assuming either that it's worth eating the cost for now or the cost is somewhat nominal for now. Do you expect your pay customers will be able to absorb that function for the long haul? Clay Collins: So a couple things, one, we're really good at caching.

Second, we just want to win in the short term. So we want people to feel comfortable using us and third, I'm funding this myself. In the long term, the way we're modeled the big cost is not that we're not rate limiting it here, it's engineers. Brian Krogsgard: Right.

We probably could have led with this but I think people have probably gotten the picture by now, but this is a centralized business with a open API and there's no token. There's none of that stuff. You're not a crypto project. Unless someday maybe you tokenize nomics. But this is a normal old business, not like a blockchain project itself.

It's not token based or anything like that. Clay Collins: Right. Yeah, so we're using centralized databases. We're a centralized company. I'm a big believer in that not everything needs to be decentralized or run on a blockchain and I actually think that what we're doing is kind of a horrible candidate for the blockchain.

It's a terrible blockchain use case. You want millisecond response times on APIs. Yeah, you probably don't want to use a blockchain. So yeah, at some point maybe we'll tokenize equity of the company and let people buy a piece of what we're doing. But for now this is kind of We want to be really good at the boring basics.

And that's what we're focused on. Brian Krogsgard: In addition to all of this you're doing a podcast called Flippening. I just listened to a three part series that y'all put out about security tokens and probably tripled my knowledge of not only I kind of had an idea of what security tokens potential was, but more about who are the players within the security token landscape and what do they envision and how do they differ from each other. So people might hear of Polymath because it has a token, but people should also be aware of something like Harbor and they provide a different type of service than what poly does.

Bruce Fenton was on your show, who's a big Ravencoin guy. Brian Krogsgard: And they're going to have stuff on top of a platform on Ravencoin, but he created a security token for his company on Counterparty through bitcoin. There's already all these tools for security tokens, so you just did this huge deep dive, why are you spending I thought about how much time Clay must have spent making this podcast, because each episode's got half a dozen guests, edited down into the questions.

How much time are you spending on this stuff and why? What's your basis for doing such an in depth series like that? Clay Collins: All in, that was at least hours. I'm embarrassed how much time that series took. Yeah, so that was just one of these stupid ideas where I was like I want to do an audio documentary.

I had heard a really good audio documentary about cryptocurrencies and there was a part of me as a product person that respects the craftsmanship that said to myself I want to create something that is like planet money level content for the cryptocurrency space about security tokens. Clay Collins: And kind of the genesis of that was I interviewed one company.

I interviewed Polymath about security tokens and I got just this fraction of a picture of what was happening and then I realized there's exchanges, and there are issuers, and there were just so many regulatory bodies and there was so many different components to this. Because there's already a pretty mature financial system that deals with securities already, so I couldn't do just one interview.

So I started booking all these interviews and then I realized that it was too late. Once I interviewed the people now I had a commitment to publish them, but it didn't make sense to publish all these interviews by themselves because they really didn't stand on their own. I needed to weave a narrative through it and then I need to write a narrative, which means I need-.

Clay Collins: -storyboard out the whole thing. It was really a pain in the ass, but the interesting thing is, after I finished that, I figured out what my workflow was for creating these, and I've realized I kind of figured out how I could do one in a third of the time next time, so I'm probably going to be doing another stupid one here in the future. Brian Krogsgard: So, is the purpose behind these that you just want to share what you're learning and traditional podcast stuff?

Or is this marketing for Nomics? Clay Collins: Yeah, it's marketing for Nomics. It's really the only podcast for institutional crypto-investors. There's no podcast that has more listenership and more coverage from the institutional crowd than Flippening. That's exactly who our target audience is. Everyone who's paid for the API so far has [inaudible ] the podcast. Clay Collins: Because I don't have a big content marketing team, we can't churn out a bunch of thought pieces or tutorials.

There's just me. If I can do one thing that's going to attract the kind of audience that I want to get, what can I do? It was create this podcast because I started evaluating how much time does CoinDesk spend to put on Consensus or Consensus Invest? And it's millions of dollars. I've thrown big events before.

Clay Collins: Yeah, and they make millions of dollars too. But having come from the event business, I bet they're just doing better than break even. That's my prediction. I could be completely wrong, but I bet they're just doing better, even with how it's monetized. I bet you they're just doing a little bit better than break even. In New York, in Times Square, that's my prediction. Brian Krogsgard: Yeah, I've run small events, and it's enormous energy and very little money is what it ends up as most of the time.

Yeah, so I was doing the stats on my podcast, and every single episode was getting about 50, downloads. I was like, "There was 12, people at Consensus Invest," so I bet I'm getting just as much coverage with that podcast from this very niche institutional investor crowd. The ROI for me really made sense. Even though it's a pain in the ass that I love to do, I'm probably going to still continue doing it.

Brian Krogsgard: Who do you consider an institutional investor in the space? What's an institutional investor to you? Clay Collins: Yeah, so I define institutional as someone who raises money from other parties to invest it on their behalf. Clay Collins: Usually they've filed as a sort of a Reg D fund or they're usually regulated in some way, so they're not just playing with their own money.

A family office is technically not an institutional investor, but some of these family offices have billions under management, so it's kind of like they walk like a duck, they talk like a duck, and they have that level of rigor to what they do. They've got an entire staff and stuff. Yeah, institutional investors are-. Brian Krogsgard: What are some of the big lessons that you've learned, based on the people you've talked to, in terms of what's most concerning to an institutional investor?

And let's level that up, the higher-end ones. For instance, I know custody is an issue for real institutional investors, whereas, for a lot of people with a little less on the line, they can kind of manage custody in-house. But if you're a regulated entity, custody becomes significantly more important. What kind of lessons for those types of people do you think you've been able to come up with?

Clay Collins: Yeah, so custody is definitely the big one. That's where good OTC desks come in. You place a phone call, you arrange the price ahead of time, and then you do the trade. OTC desks and clearinghouses are probably the next point of concern.

Clay Collins: And then it's just good projects. I mean, it's hard for a lot of these folks to find coins other than Bitcoin and Ethereum that have enough liquidity and market depth for them to feel comfortable and just history. Brian Krogsgard: Do you think people that come from traditional markets are having a hard time grasping the mix of speculation versus fundamental value in projects? Because I think one of the things I'm seeing is a lot of stuff is way down to where, if this was a traditional market where the market is fairly efficient and understanding what pricing is and what works, they'd look like deals, right?

I've gone through this lesson myself as a trader because stuff just doesn't-. Do you think it's a learning curve for people trying to learn how to invest in crypto versus investing in the real world, if you will? That's a good question. I think everyone's focused on the fact that these things are tokens and kind of forgetting about the real world analogy.

A lot of these hedge funds really aren't doing forex trades, but in a lot of ways, that's what Bitcoin coin is. It's a forex thing. There's no underlying value. You're placing a bet on the network and the utility value of the coin, so it's really hard to evaluate what it is because it's not like a security where there's this underlying asset, and then you can try and figure out what that underlying asset is worth.

Clay Collins: And then with things like Filecoin and crypto commodities, that just looks a lot like VC. You're buying something based on the future value of that. But the hard thing there with crypto commodities like Filecoin is it doesn't matter how much utility value exists. There's a lot of hard drive space in the world, so just because it's tokenized doesn't mean that all the sudden this thing is worth more. Clay Collins: I think folks in general need to not focus as much on the fact that it's a token and the whole thing is some new asset class.

I don't think of this as a new asset class. I think what's happening is tokenized versions of the analogous thing that exists in the real world, and there's so many different versions of that. There's tokenized securities that represent equity in a company. There's this new financial system. There's true cryptocurrencies like Bitcoin. There's Ethereum, which is this I couldn't even tell you. Brian Krogsgard: I was about to ask, how would you give an analogy for a protocol or a network with a value?

Because in the web or whatever, open-source software, historically we don't really assign monetary value directly to the platform, a protocol, an API, whatever. But that's what we're doing in crypto. Brian Krogsgard: That one, I agree with you completely, even though I've always said this is a whole new asset class.

I agree with you that, at the base layer, it's a business represented by a token or whatever else, except for this protocol side of things. It's weird for me, and I guess maybe that's why the market's inefficient and why we're seeing these drastic swings is because we're trying to figure out what is something like the 0x protocol worth? And we have this ability to put a monetary value on them. I mean, I think a lot of times a monetary value is just that the greater fool is going to come on and buy it for more, and that is the [inaudible ] of the token.

Brian Krogsgard: Musical chairs is not a game I want to play, but I agree, it does seem like we're all playing it. We're just hoping that some other sucker is going to be the one left without a chair. I go to Vegas every once in a while. Why don't you know what you're doing? I think there's something real about Bitcoin. I think there's something real about Ethereum. I think something that is not discussed enough with regards to Ethereum is the fact that there's these compound or kind of second-order network effects that occur.

Everyone talks about the network effects of Bitcoin. It's like Visa: the more people that accept Visa, the more valuable Visa is. Same with phones. Owning a phone makes owning a phone more valuable to everyone, every time one is purchased.

Or Facebook. I think people generally get network effects. Clay Collins: There's another effect at play: the Lindy effect, which is just the value of something that doesn't break increases with every unit of time that it continues to not break. We develop more trust in the system. That's the Lindy effect. Clay Collins: But I think second order network effects occur with platforms like Ethereum, where Ether itself has network effects, but then built on top of Ethereum are these additional tokens that themselves have network effects.

I really think there's something to that. There's just so much developer activity on top of Ethereum. The transaction volume is there. The combined long-tail of the network effects of the tokens built on Ethereum is just truly outstanding, where none of them individually on their own maybe have world-changing network effects just yet. But the cumulative power makes Ethereum extremely defensible. Clay Collins: I'm not a philosopher or an economist, and I don't spend all my time writing up Medium posts about this, but there's something really, really powerful about what's happening with Ethereum.

I don't know if necessarily all that accrues to the token or how this all plays out, but I think there's something special happening. Brian Krogsgard: So, network effects, to me, make sense. I come from open-source software, so I understand the power of "Hey, other people use this, so I'm going to use this. Other people use this. I'm going to use this. I can find developers who build on this," etc.

It's a known thing. I get it, and I understand it, and it makes sense. To me, it's kind of analogous to JavaScript, right? JavaScript kind of is at the base of web programming, and then you have all these frameworks built on top of it, like Angular and React and Aurelia. Clay Collins: A bajillion of these typescripts, what have you. Each of these, like React in particular has a lot of network effects going for it.

But those network effects only reinforce JavaScript, right? Brian Krogsgard: The parallel could be let's say 0x. I apologize for shilling. I don't know any ZRX right now. But let's say 0x becomes the way to create a decentralized exchange, just because their protocol's that good.

Now all decentralized exchanges are essentially using 0x, which is built on Ethereum. Or CryptoKitties, like gaming becomes very popular through CryptoKitties or some other thing. Because of that, it's reinforcing the underlying network, so they're self-strengthening. The more stuff that gets built on Ethereum, the more likely Ethereum creates that stronghold, even if, like everybody believes, it's garbage.

It doesn't necessarily matter, as long as that's what people keep building on, and the developer ecosystem builds around. There are plenty of people that would say JavaScript is garbage, but it is number one. Clay Collins: Exactly. Or I hear this all the time, people talk about WordPress. It's got this markdown.

It's so much faster. WordPress is crap. Nobody cares. Brian Krogsgard: Nobody cares because you can go to any But you can go to any ad agency, any interactive agency in the world pretty much, and you say, "My website's on WordPress," and they'll just say, "Okay, well, we can build on that. It's straightforward, and people have experience building on it, so it doesn't matter how good your fancy content management system is because everyone in the world has a knowledge and an understanding of WordPress, and they can build on WordPress.

Brian Krogsgard: We're seeing the same thing happen with some of these protocols. The first mover advantage is fascinating. What I'll be really, truly It will be who can actually challenge them. Can someone else like Netscape Ethereum and become Chrome or whatever else? That would really make this stuff interesting to me. I think what's difficult about that is the switching costs. There's just such a pain of disconnect. If you're 0x, to switch to another blockchain is just damn near impossible.

I don't want to speak for those guys, but switching to a new blockchain once you've done everything on top of Ethereum or a given platform is just quite an undertaking. You have to reissue tokens and get all your users to not succumb to apathy. It is just a big pain in the ass really.

I know a lot of these projects, to try to essentially hedge that risk, are trying to build their own stuff, like a layer above, so a little agnostic of the underlying platform, so that, if someone integrates with their API, they can change their underlying stuff, but whoever's integrating with them can still [crosstalk ].

Brian Krogsgard: Yeah, that abstraction layer to try to protect from that because it's still possible that Ethereum just blows up one day. It's totally possible. This is a new ecosystem. You seem excited to track it all.

I wanted to have you on just to talk about what you're building with Nomics. Brian Krogsgard: I love the fact that it's just centralized, and you're doing data. I think that's really cool. I think the fact that you're offering so much in a free API, my listeners that are interested in building stuff like that, check it out. I've checked it out, plan on using it for some work that I have going on. It's really cool. Brian Krogsgard: The Flippening Podcast has me hooked, so you all go cross-subscribe.

Make sure you subscribe to both, not just Flippening, not just LedgerCast. Subscribe to both. And, Clay, I look forward to just keeping an open channel and learning more about what you're working on and what you're thinking about. I think you bring a lot to the space, and I'm thankful for you coming on and spreading across a lot of topics today.

But I enjoyed it. Thanks for doing that. Brian Krogsgard: Yeah, I'll second that. I mean, the way that you've talked to me about how people can do relatively small changes to their own APIs, just providing endpoints for specific types of access for you. One of the things that makes sense for me is that, if an exchange doesn't want to support every little app and everybody that wants to come and ping their systems and deal with them and all that and all the support that can come along with that, you're essentially telling the exchange, "Hey, we'll do that.

We'll manage that component for you, if you just help us grab this data a little easier. Clay Collins: Yeah, so we're actually working with an exchange right now on a white label version of their API that everyone is going to think comes from them, so they're just providing us with three endpoints.

On top of that, we're giving all their customers candlestick data and all-time-high data and all kinds of different market feeds and stuff. That's something-. Clay Collins: They just expose a few simple endpoints, and their customers get multiple dozens of endpoints that they can use to analyze data on their exchange, which is a good marketing channel for them.

Brian Krogsgard: That's really cool. Well, I look forward to seeing what all this looks like when you've got hundreds more exchanges and derivatives, products, and securities and all this stuff on there, and talk to you about what your data management journey is looking like at that time.

I'm sure it'll be something. The Nomics team is very responsive, the API is well documented. Nomics is what most people should be leveraging if they're trying to build out an informative front end with price data. I implemented so many features in just a couple of hours. It was a really incredible experience to be able to get so much done so quickly. Right now we're supporting, pounds, euros, yen, won and rubles.

Our team was searching for a powerful, fast and consistent solution for accessing historical cryptocurrency trade data. The solution, built using Golang, fit all the requirements for our product. Since integrating with the Nomics API, we have been up and running and have had no issues with receiving and extracting the data. You can always expect that the fields returned from the API will be in a consistent format.

Data consistency has only been one large benefit of the Nomics API. We have also enjoyed blazing fast responses, and top notch customer support. Building out in-house tools to clean and aggregate exchange data is a laboursome and timely task. Using the Nomics API has completely eliminated this overhead! Nomics has it all. Lightning speed, pinpoint accuracy, a massive library of tokens and exchanges, consistent updates and a solid business model.

They leave so very little left to be desired. It's common knowledge in this space that good enough is often all you'll be able to get. Nomics however is daily raising that bar for all crypto projects, that excellent and flawless can and should be a thing. Their deep knowledge and interest into the industry shines through everything they do.

They aren't just here for the fad, they're here to change the landscape for the better and make this place their home. It's amazing, and I'm a fan. Also, you're not competing with us if you're building an alternative to our pricing website or CoinMarketCap etc. Note: We do offer paid plans for institutional investors who need access to certain kinds of data, a free plan suits most developers and individual traders. If you have questions, feel free to contact us here. When we say that our API provides gapless raw trade market data, it means that we have all of the trades that occurred on a given currency pair market on a given exchange, going back to the inception of that market … with no gaps in trading data i.

This is important because when no trades are missing, you have accurate volume information for a given time interval. Having gapless raw trade data also means that quantitative traders and algorithmic investors have higher fidelity data points and can more thoroughly train machine learning models by having every trade available giving them confidence that they have accurate historical representation. It also means that if you want to look back at a particular time in history and consider what was occurring on a particular cryptocurrency exchange market -- you'll be able to know exactly what was going on on a particular day and that data hasn't been removed, aggregated, or interpolated.

If you know of others, please let us know. We are often asked what can be built with the free vs. The paid plan is also great for folks who want low-latency real-time information for live trading environments. If you're building a cryptocurrency dashboard, are OK with summary-level and aggregated data points, and low-granularity historical data, then the free version is for you. Additionally, the free version is great for folks building CoinMarketCap or Nomics.

The skillset beyond these basic requirements really depends entirely on what you're building. Indeed, getting the data is easy but understanding how to apply and use the data is much more likely to be the limiting factor.

Almost every single exchange, cryptocurrency index, bot platform, security token issuance platform, etc. The Nomics API not only aggregates data from several sources, but it also ensures that API response formats and data schemas are consistent across the board. Using a universal common format means that developers and financial analysts only have to code against a dataset once. A lot of exchange candles come in at zero value if there's no trading activity.

Other exchanges just won't include candles. Being able to go through kind of a single provider that normalizes these and then sends out an expected response is great.

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Fortunately, I have tested nearly all of the top cryptocurrency APIs and the results are surprising. Whether you want to leverage real-time crypto data to assist with trades, build a trading bot, conduct academic research on cryptocurrency, or learn to code with crypto data, I plan to give you an honest opinion, in the view of your everyday developer, of the APIs I have developed projects with and what I believe will benefit you in the long-term.

This is the same API that drives their web app. Access over million collected social posts, all classified by coin using artificial intelligence and displayed alongside unique insights. The cryptocurrency focused company collects more than , social posts with 20, links per day and they support more than cryptocurrencies.

LunarCRUSH collects data on influencers, social influencer activity and their engagement, frequency, and impact across over thousands of cryptocurrencies. This allows for some pretty awesome things such as how bullish something is vs.

It also lets you know who is really influential vs. You can also integrate social metrics for over 2, coins into your TradingView charts. LunarCRUSH has real-time cryptocurrency alerts, LunarAlerts, for notifications on Cryptocurrency prices and social metrics which helps for automating trade decisions.

Seeing as they provide the largest set of social data available for gathering cryptocurrency data, I will expand on this section with multiple examples. Assets Endpoint: Details, overall metrics, and time series metrics for one or multiple assets. We refer to all supported cryptocurrencies as assets. Market Endpoint: Summary information for all supported assets including 5 recent time series values for some metrics. Global Endpoint: Overall aggregated metrics for all supported assets.

Feeds: Social posts, news, and shared links for one or multiple coins. Alerts: Historical timestamped records of changes in metrics that are notable beyond typical trends including periodical highs, lows, and sudden increases or decreases. Influencer: Individual influencer details including actual posts.

Influencers: List of social accounts that have the most influence on different assets based on number of followers, engagements, and volume of posts. So far so great, right? Sort of like a hidden gem, I found them while browsing tutorials online which ultimately lead to their Twitter, where they are actively posting about crypto data. While I had planned to brush them off as just another API, I decided to look deeper into what they offer.

I was especially surprised they provide social metrics, such as bullish and bearish sentiment, along with lists of top influencers from social sites. I am still currently working on this project which I hope to open source a some point in the future. Feel free to keep a lookout for the project. I expand on my experience with the other two APIs later in this article. Messari provides API endpoints for thousands of crypto assets.

These endpoints include trades, market data VWAP , quantitative metrics, qualitative information. Most of their endpoints are available without an API key, but they limit their rates. The free tier does not include redistribution rights and requires attribution and a link back to their site. Generally, Messari is a good API for those looking to build custom solutions. While their site has good information for traders, developing with their API can be challenging. The documentation was very easy to read and it was rather quick for me to figure out the basics of the API.

Since then, I have been using their data as a form of validation with Nomics to build out an aggregated crypto data hub. Nomics is a cryptocurrency data API focused on Price, crypto market cap , supply, and all-time high data.

Additionally, they supply historical aggregate cryptocurrency market cap since January of Nomics API is a resource for all developers. Their prices can seem expensive to the typical developer who is searching for a cheap or free crypto API. Nonetheless, they are a well respected API within the crypto industry. All requests should be prefixed by the server URL.

An overall positive experience with Nomics lead me to discovering what it has to offer. Nomics API is decently simple to use but when I was starting to build out crypto apps a few years ago, their API was slightly challenging to me. As discussed in previous sections, I am still using the Nomics API as a form of cryptocurrency market price validation for my aggregated crypto data hub which I hope to open-source in the future. CoinMarketCap is commonly known for being the go-to place for checking cryptocurrency and token prices.

CoinMarketCap was recently acquired by Binance , an international cryptocurrency exchange founded by Changpeng Zhao in China in The free plan has limitations to how many API calls you can make per month. The functionality is fine for testing but for those attempting to build applications for consumer use then I suggest using an API with more options. My initial attempt to use their data was with a price prediction model, using their free historical data.

Unfortunately, after spending a few days working on my project, CMC updated their website so all of my code was no longer working and I did not have the patience to go through developing more code. As of today, my repo no longer works due to changes in their UI. You can view my project here. With only 21 endpoints, this may not be the best option for traders and enterprises. More and more people follow these trends until rampant speculation begins.

Distribution phase : After huge speculation, because of the limited supply of the asset, the price begins to retrace as the knowledgable investors begin to distribute their holdings to the market. As a result of it the prices start falling along with the volume.

The stock market incorporates new information as soon as it becomes available. Once this news is released, the price of the asset changes to reflect this new information. The price reflects the sum of all the hopes, fears, and expectations of all the market participants. Factors such as interest rate movements, earning expectations, revenue projections, major elections, product initiatives, etc.

To understand how this works, consider this example. There is a company A and a company B. Suppose A is a handicrafts company and B is a transportation company. Now, if A gets more business, then B will get more business as well since A will need B to transport their goods and vice-versa.

So, if an investor is interested in investing in company A, they need to look at the performance of company B. These two averages should be moving in the same direction. If these two averages are diverging, then it is a sign that market trend may be reversing soon.

Dow Jones believes that volume is a secondary yet important factor in recognizing price signals. This is how volume reacts during major trends:. Technical analysis is a tool, or method, used to predict the probable future price movement of a currency pair, cryptocurrency pair, or a stock. It can be a creative and dynamic which helps you gain a very deep perspective into the market. When a technical analyst examines the price chart, along with the technical tools, they also need to be mindful of the time frames that they are considering.

Popular time frames that traders most frequently examine include:. The time-frame that a trader chooses is directly dependent on their personal trading-style. Traders broadly fall into two categories:. Intra-day traders: These are the traders who open and close their position within a single day. This is why these traders prefer short timeframes like hourly, min, or even 5-min charts.

Long-term holders: Long-term holders may hold their position for weeks to months and years. These holders find more value in using hourly, 4-hour, daily, or even weekly charts. A min chart may be a very significant indicator for an intra-day trader but it may not be that important for a long-term holder. Market cap of a coin is calculated using this formula:.

You can check the market cap of the top cryptocurrencies on coinmarketcap. Market cap is a great indicator to know about the stability of a coin. This is how its monthly marketcap looks like:. Now compare that with MaidSafeCoin. As you can see, compared to Bitcoin , MaidSafeCoin is a lot more volatile. By far the most popular chart out there. What we are going to do now is to help you make sense out of those pretty patterns.

The first thing you will notice is the red and green candlesticks lying one after another. Each candle shows you the price movement of the asset during a specific time interval. Along with the closing price, each candle shows the opening price, the lowest, and highest price of the given time-period as well as the closing price. As you can also see, there are to kinds of candlesticks, the green candle, and the red candle.

Every candle has a body and a couple of shadows that are sticking out of it. The body shows you the difference between the opening and closing price. The shadows show you how high or how low have these opening and closing prices have gone respectively.

In a green candle, the upper shadow is the close price while the lower shadow in the open price and vice-versa for red candlesticks. The beauty of these candlesticks is that it clearly shows you exactly where the market turned and helps you identify different patterns which may help you predict how the market will act.

Bullish Reversal Patterns. A hammer is a bullish reversal pattern that forms after a decline in price. So, what does it exactly mean? The hammer signifies a bullish reversal and shows that the buyers are coming in strong into the market. The first candle is bearish while the second candle is bullish.

The body of the second candle completely overwhelms and covers the first candle. The reason why this is such a great indicator is that the bulls have increasingly stronger momentum. A morning star is a 3-candle bullish reversal pattern which forms after a decline in the price. This is how you recognize it:. The morning star pattern tells you that the sellers have been exhausted after fighting with the buyers and the market is now bullish.

All these patterns are the reverse of the three bullish reversal patterns. The buyers took control as the market opened and pushed the price high. At the close, there was huge selling pressure from the bears. The selling momentum was so strong that it overwhelmed the bulls. In short, a Shooting Star signifies a bearish reversal and shows that the sellers are coming in strong into the market. The Bearish Engulfing Pattern tells you the sellers have overwhelmed the buyers and are now in control.

An Evening Star is a 3-candle bearish reversal candlestick pattern. This is how you recognize this pattern:. It works by comparing the magnitude of recent gains to recent losses to determine whether crypto has been overbought or oversold.

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Our instant notifications will make you the first to know. Your crypto management armed with the latest crypto coverage. Get your PnL, analytics and transaction details Insights into your past transactions aid focusing on your future success. With our crypto analytics tool you are able to get acute data of your accounts to help sharpen your decisions. Get a drone view of your cryptocurrency portfolio data. So far so great, right?

Sort of like a hidden gem, I found them while browsing tutorials online which ultimately lead to their Twitter, where they are actively posting about crypto data. While I had planned to brush them off as just another API, I decided to look deeper into what they offer. I was especially surprised they provide social metrics, such as bullish and bearish sentiment, along with lists of top influencers from social sites. I am still currently working on this project which I hope to open source a some point in the future.

Feel free to keep a lookout for the project. I expand on my experience with the other two APIs later in this article. Messari provides API endpoints for thousands of crypto assets. These endpoints include trades, market data VWAP , quantitative metrics, qualitative information.

Most of their endpoints are available without an API key, but they limit their rates. The free tier does not include redistribution rights and requires attribution and a link back to their site. Generally, Messari is a good API for those looking to build custom solutions. While their site has good information for traders, developing with their API can be challenging. The documentation was very easy to read and it was rather quick for me to figure out the basics of the API.

Since then, I have been using their data as a form of validation with Nomics to build out an aggregated crypto data hub. Nomics is a cryptocurrency data API focused on Price, crypto market cap , supply, and all-time high data. Additionally, they supply historical aggregate cryptocurrency market cap since January of Nomics API is a resource for all developers.

Their prices can seem expensive to the typical developer who is searching for a cheap or free crypto API. Nonetheless, they are a well respected API within the crypto industry. All requests should be prefixed by the server URL.

An overall positive experience with Nomics lead me to discovering what it has to offer. Nomics API is decently simple to use but when I was starting to build out crypto apps a few years ago, their API was slightly challenging to me.

As discussed in previous sections, I am still using the Nomics API as a form of cryptocurrency market price validation for my aggregated crypto data hub which I hope to open-source in the future. CoinMarketCap is commonly known for being the go-to place for checking cryptocurrency and token prices. CoinMarketCap was recently acquired by Binance , an international cryptocurrency exchange founded by Changpeng Zhao in China in The free plan has limitations to how many API calls you can make per month.

The functionality is fine for testing but for those attempting to build applications for consumer use then I suggest using an API with more options. My initial attempt to use their data was with a price prediction model, using their free historical data. Unfortunately, after spending a few days working on my project, CMC updated their website so all of my code was no longer working and I did not have the patience to go through developing more code.

As of today, my repo no longer works due to changes in their UI. You can view my project here. With only 21 endpoints, this may not be the best option for traders and enterprises. I would not recommend using for these purposes. Although CoinGecko is free, it most likely will not meet the needs of traders and exchanges. The challenges I found while using the CoinGecko was the lack of Python documentation available.

I believe CoinGecko has potential being a free API; however, the community needs to step in and provide more documentation for projects. Luckily, I was able to find a wrapper on Github which helped with implementing into my project. I attempted to follow an open-source project for A Discord bot with multiple features, which can viewed on my Github.

The cryptocurrency market continues to hit mainstream coverage, increasing exposure, and becoming widely used by the masses. I believe it is important to get a head start in developing applications and conducting analysis within the industry. Crypto data is a valuable asset which can be used to make trades, conduct research experiments, and leverage transparency for your organization.

The future of crypto development depends on how many projects will continue to create innovative features within application programming interfaces in There are tons of cryptocurrency data api to choose from, sometimes it can feel overwhelming. Picking the best cryptocurrency API all depends on your needs, especially depending on which programming language you plan to use. The majority of APIs provide cryptocurrency price API access, so maybe you want to find one with more than price, like social metrics.

I hope this post helps you decide which data provider is best for your project. Questions, comments, and constructive criticism is welcomed. This is one of my first articles published. Hands-on real-world examples, research, tutorials, and cutting-edge techniques delivered Monday to Thursday. Make learning your daily ritual. Take a look.

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Best Crypto Currency Charting Tool

I believe CoinGecko has potential asset which can be used the community needs to step in and provide more documentation ago, their API was slightly. I believe it is important being a free API; however, especially about betting on which programming experiments, and leverage transparency for. Your crypto management crypto currency charts apio with website for your cryptocurrency news. Picking the best cryptocurrency API find a wrapper on Github of Nomics API is a or free crypto API. CoinStats collects crypto news from over 40 sources and brings to make trades, conduct research. Get a drone view of the latest crypto coverage. The future of crypto development days working on my project, will continue to create innovative features within application programming interfaces no longer working and I cryptocurrency data api to choose from, sometimes it can feel. Logging in from a public network creates danger of a checking cryptocurrency and token prices. We make sure your crypto. With only 21 endpoints, this may not be the best the needs of traders and.

Up to five years of historical data available on our Enterprise plan, ensuring that you have full visibility of all cryptocurrency data since Chart the right data. {our data}. Market symbols, Assets, Exchanges, Quotes, Orderbooks, Exchange rates, OHLCV bar data, Twitter data. Experience the best cryptocurrency (and bitcoin) market data API available today. cryptocurrency api - charting. Charting. cryptocurrency api - trading bots.