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batching in Bitcoin
On May 6th, 2017, Bitcoin hit an all-time high in transactions processed on the network in a single day: it moved 375,000 transactions which accounted for a nominal output of about $2.5b. Average fees on the Bitcoin network had climbed over a dollar for the first time a couple days prior. And they kept climbing: by early June average fees hit an eye-watering $5.66. This was quite unprecedented. In the three-year period from Jan. 1 2014 to Jan. 1 2017, per-transaction fees had never exceeded 31 cents on a weekly average. And the hits kept coming. Before 2017 was over, average fees would top out at $48 on a weekly basis. When the crypto-recession set in, transaction count collapsed and fees crept back below $1. During the most feverish days of the Bitcoin run-up, when normal users found themselves with balances that would cost more to send than they were worth, cries for batching — the aggregation of many outputs into a single transaction — grew louder than ever. David Harding had written a blog post on the cost-savings of batching at the end of August and it was reposted to the Bitcoin subreddit on a daily basis. The idea was simple: for entities sending many transactions at once, clustering outputs into a single transaction was more space- (and cost-) efficient, because each transaction has a fixed data overhead. David found that if you combined 10 payments into one transaction, rather than sending them individually, you could save 75% of the block space. Essentially, batching is one way to pack as many transactions as possible into the finite block space available on Bitcoin. When fees started climbing in mid-2017, users began to scrutinize the behavior of heavy users of the Bitcoin blockchain, to determine whether they were using block space efficiently. By and large, they were not — and an informal lobbying campaign began, in which these major users — principally exchanges — were asked to start batching transactions and be good stewards of the scarce block space at their disposal. Some exchanges had been batching for years, others relented and implemented it. The question faded from view after Bitcoin’s price collapsed in Q1 2018 from roughly $19,000 to $6000, and transaction load — and hence average fee — dropped off. But we remained curious. A common refrain, during the collapse in on-chain usage, was that transaction count was an obfuscated method of apprehending actual usage. The idea was that transactions could encode an arbitrarily large (within reason) number of payments, and so if batching had become more and more prevalent, those payments were still occurring, just under a regime of fewer transactions. “hmmm” Some sites popped up to report outputs and payments per day rather than transactions, seemingly bristling at the coverage of declining transaction count. However, no one conducted an analysis of the changing relationship between transaction count and outputs or payments. We took it upon ourselves to find out. Table Of Contents: Introduction to batching A timeline Analysis Conclusion Bonus content: UTXO consolidation
Introduction to batching
Bitcoin uses a UTXO model, which stands for Unspent Transaction Output. In comparison, Ripple and Ethereum use an account/balance model. In bitcoin, a user has no balances, only UTXOs that they control. If they want to transfer money to someone else, their wallet selects one or more UTXOs as inputs that in sum need to add up to the amount they want to transfer. The desired amount then goes to the recipient, which is called the output, and the difference goes back to the sender, which is called change output. Each output can carry a virtually unlimited amount of value in the form of satoshis. A satoshi is a unit representing a one-hundred-millionth of a Bitcoin. This is very similar to a physical wallet full of different denominations of bills. If you’re buying a snack for $2.50 and only have a $5, you don’t hand the cashier half of your 5 dollar bill — you give him the 5 and receive some change instead. Unknown to some, there is no hardcoded limit to the number of transactions that can fit in a block. Instead, each transaction has a certain size in megabytes and constitutes an economic incentive for miners to include it in their block. Because miners have limited space of 2 MB to sell to transactors, larger transactions (in size, not bitcoin!) will need to pay higher fees to be included. Additionally, each transaction can have a virtually unlimited number of inputs or outputs — the record stands at transactions with 20,000 inputs and 13,107 outputs. So each transaction has at least one input and at one output, but often more, as well as some additional boilerplate stuff. Most of that space is taken up by the input (often 60% or more, because of the signature that proves they really belong to the sender), while the output(s) account for 15–30%. In order to keep transactions as small as possible and save fees, Bitcoin users have two major choices: Use as few inputs as possible. In order to minimize inputs, you can periodically send your smaller UTXOs to yourself in times when fees are very low, getting one large UTXO back. That is called UTXO consolidation or consolidating your inputs. Users who frequently make transfers (especially within the same block) can include an almost unlimited amount of outputs (to different people!) in the same transaction. That is called transaction batching. A typical single output transaction takes up 230 bytes, while a two output transaction only takes up 260 bytes, instead of 460 if you were to send them individually. This is something that many casual commentators overlook when comparing Bitcoin with other payment systems — a Bitcoin transaction can aggregate thousands of individual economic transfers! It’s important to recognize this, as it is the source of a great deal of misunderstanding and mistaken analysis. We’ve never encountered a common definition of a batched transaction — so for the purposes of this study we define it in the loosest possible sense: a transaction with three or more outputs. Commonly, batching is understood as an activity undertaken primarily by mining pools or exchanges who can trade off immediacy for efficiency. It is rare that a normal bitcoin user would have cause to batch, and indeed most wallets make it difficult to impossible to construct batched transactions. For everyday purposes, normal bitcoiners will likely not go to the additional effort of batching transactions. We set the threshold at three for simplicity’s sake — a normal unbatched transaction will have one transactional output and one change output — but the typical major batched transaction from an exchange will have dozens if not hundreds of outputs. For this reason we are careful to provide data on various different batch sizes, so we could determine the prevalence of three-output transactions and colossal, 100-output ones. We find it helpful to think of a Bitcoin transaction as a mail truck full of boxes. Each truck (transaction) contains boxes (outputs), each of contains some number of letters (satoshis). So when you’re looking at transaction count as a measure of the performance and economic throughput of the Bitcoin network, it’s a bit like counting mail trucks to discern how many letters are being sent on a given day, even though the number of letters can vary wildly. The truck analogy also makes it clear why many see Bitcoin as a settlement layer in the future — just as mail trucks aren’t dispatched until they’re full, some envision that the same will ultimately be the case for Bitcoin. Batching
So what actually happened in the last six months? Let’s look at some data. Daily transactions on the Bitcoin network rose steadily until about May 2017, when average fees hit about $4. This precipitated the first collapse in usage. Then began a series of feedback loops over the next six months in which transaction load grew, fees grew to match, and transactions dropped off. This cycle repeated itself five times over the latter half of 2017. more like this on coinmetrics.io The solid red line in the above chart is fees in BTC terms (not USD) and the shaded red area is daily transaction count. You can see the cycle of transaction load precipitating higher fees which in turn cause a reduction in usage. It repeats itself five or six times before the detente in spring 2018. The most notable period was the December-January fee crisis, but fees were actually fairly typical in BTC terms — the rising BTC price in USD however meant that USD fees hit extreme figures. In mid-November when fees hit double digits in USD terms, users began a concerted campaign to convince exchanges to be better stewards of block space. Both Segwit and batching were held up as meaningful approaches to maximize the compression of Bitcoin transactions into the finite block space available. Data on when exchanges began batching is sparse, but we collected information where it was available into a chart summarizing when exchanges began batching. Batching adoption at selected exchanges We’re ignoring Segwit adoption by exchanges in this analysis; as far as batching is concerned, the campaign to get exchanges to batch appears to have persuaded Bitfinex, Binance, and Shapeshift to batch. Coinbase/GDAX have stated their intention to begin batching, although they haven’t managed to integrate it yet. As far as we can tell, Gemini hasn’t mentioned batching, although we have some mixed evidence that they may have begun recently. If you know about the status of batching on Gemini or other major exchanges please get in touch. So some exchanges have been batching all along, and some have never bothered at all. Did the subset of exchanges who flipped the switch materially affect the prevalence of batched transactions? Let’s find out.
3.1 How common is batching? We measured the prevalence of batching in three different ways, by transaction count, by output value and by output count. The tl;dr. Batching accounts for roughly 12% of all transactions, 40% of all outputs, and 30–60% of all raw BTC output value. Not bad. 3.2 Have batched transactions become more common over time? From the chart in 3.1, we can already see a small, but steady uptrend in all three metrics, but we want to dig a little deeper. So we first looked at the relationship of payments (all outputs that actually pay someone, so total outputs minus change outputs) and transactions. More at transactionfee.info/charts The first thing that becomes obvious is that the popular narrative — that the drop in transactions was caused by an increase in batching — is not the case; payments dropped by roughly the same proportion as well. Dividing payment count by transaction count gives us some insight into the relationship between the two. In our analysis we want to zoom into the time frame between November 2017 and today, and we can see that payments per transactions have actually been rallying, from 1.5 payments per transaction in early 2017 to almost two today. 3.3 What are popular batch sizes? In this next part, we will look at batch sizes to see which are most popular. To determine which transactions were batched, we downloaded a dataset of all transactions on the Bitcoin network between November 2017 and May 2018from Blockchair. We picked that period because the fee crisis really got started in mid-November, and with it, the demands for exchanges to batch. So we wanted to capture the effect of exchanges starting to batch. Naturally a bigger sample would have been more instructive, but we were constrained in our resources, so we began with the six month sample. We grouped transactions into “batched” and “unbatched” groups with batched transactions being those with three or more outputs. We then divided batched transactions into roughly equal groups on the basis of how much total output in BTC they had accounted for in the six-month period. We didn’t select the batch sizes manually — we picked batch sizes that would split the sample into equal parts on the basis of transaction value. Here’s what we ended up with: All of the batch buckets have just about the same fraction of total BTC output over the period, but they account for radically different transaction and output counts over the period. Notice that there were only 183,108 “extra large” batches (with 41 or more outputs) in the six-month period, but between them there were 23m outputs and 30m BTC worth of value transmitted. Note that output value in this context refers to the raw or unadjusted figure — it would have been prohibitively difficult for us to adjust output for change or mixers, so we’re using the “naive” estimate. Let’s look at how many transactions various batch sizes accounted for in the sample period: Batched transactions steadily increased relative to unbatched ones, although the biggest fraction is the small batch with between 3 and 5 outputs. The story for output counts is a bit more illuminating. Even though batched transactions are a relatively small fraction of overall transaction count, they contain a meaningful number of overall outputs. Let’s see how it breaks down: Lastly, let’s look at output value. Here we see that batched transactions represent a significant fraction of value transmitted on Bitcoin. As we can see, even though batched transactions make up an average of only 12% of all transactions, they move between 30%-60% of all Bitcoins, at peak times even 70%. We think this is quite remarkable. Keep in mind, however that the ‘total output’ figure has not been altered to account for change outputs, mixers, or self-churn; that is, it is the raw and unadjusted figure. The total output value is therefore not an ideal approximation of economic volume on the Bitcoin network. 3.4 Has transaction count become an unreliable measure of Bitcoin’s usage because of batching? Yes. We strongly encourage any analysts, investors, journalists, and developers to look past mere transaction count from now on. The default measure of Bitcoin’s performance should be “payments per day” rather than transaction count. This also makes Bitcoin more comparable with other UTXO chains. They generally have significantly variable payments-per-transaction ratios, so just using payments standardizes that. (Stay tuned: Coinmetrics will be rolling out tools to facilitate this very soon.) More generally, we think that the economic value transmitted on the network is its most fundamental characteristic. Both the naive and the adjusted figures deserve to be considered. Adjusting raw output value is still more art than science, and best practices are still being developed. Again, Coinmetrics is actively developing open-source tools to make these adjustments available.
We started by revisiting the past year in Bitcoin and showed that while the mempool was congested, the community started looking for ways to use the blockspace more efficiently. Attention quickly fell on batching, the practice of combining multiple outputs into a single transaction, for heavy users. We showed how batching works on a technical level and when different exchanges started implementing the technique. Today, around 12% of all transactions on the Bitcoin network are batched, and these account for about 40% of all outputs and between 30–60% of all transactional value. The fact such that a small set of transactions carries so much economic weight makes us hopeful that Bitcoin still has a lot of room to scale on the base layer, especially if usage trends continue. Lastly, it’s worth noting that the increase in batching on the Bitcoin network may not be entirely due to deliberate action by exchanges, but rather a function of its recessionary behavior in the last few months. Since batching is generally done by large industrial players like exchanges, mixers, payment processors, and mining pools, and unbatched transactions are generally made by normal individuals, the batched/unbatched ratio is also a strong proxy for how much average users are using Bitcoin. Since the collapse in price, it is quite possible that individual usage of Bitcoin decreased while “industrial” usage remained strong. This is speculation, but one explanation for what happened. Alternatively, the industrial players appear to be taking their role as stewards of the scarce block space more seriously. This is a significant boon to the network, and a nontrivial development in its history. If a culture of parsimony can be encouraged, Bitcoin will be able to compress more data into its block space and everyday users will continue to be able to run nodes for the foreseeable future. We view this as a very positive development. Members of the Bitcoin community that lobbied exchanges to add support for Segwit and batching should be proud of themselves.
Bonus content: UTXO consolidation
Remember that we said that a second way to systematically save transaction fees in the Bitcoin network was to consolidate your UTXOs when fees were low? Looking at the relationship between input count and output count allows us to spot such consolidation phases quite well. Typically, inputs and outputs move together. When the network is stressed, they decouple. If you look at the above chart carefully, you’ll notice that when transactions are elevated (and block space is at a premium), outputs outpace inputs — look at the gaps in May and December 2017. However, prolonged activity always results in fragmented UTXO sets and wallets full of dust, which need to be consolidated. For this, users often wait until pressure on the network has decreased and fees are lower. Thus, after transactions decrease, inputs become more common than outputs. You can see this clearly in February/March 2017. Here we’ve taken the ratio of inputs to outputs (which have been smoothed on a trailing 7 day basis). When the ratio is higher, there are more inputs than outputs on that day, and vice versa. You can clearly see the spam attack in summer 2015 in which thousands (possibly millions) of outputs were created and then consolidated. Once the ratio spikes upwards, that’s consolidation. The spike in February 2018 after the six weeks of high fees in December 2017 was the most pronounced sigh of relief in Bitcoin’s history; the largest ever departure from the in/out ratio norm. There were a huge number of UTXOs to be consolidated. It’s also interesting to note where inputs and outputs cluster. Here we have histograms of transactions with large numbers of inputs or outputs. Unsurprisingly, round numbers are common which shows that exchanges don’t publish a transaction every, say, two minutes, but instead wait for 100 or 200 outputs to queue up and then publish their transaction. Curiously, 200-input transactions were more popular than 100-input transactions in the period. We ran into more curiosities when researching this piece, but we’ll leave those for another time. Future work on batching might focus on: Determining batched transactions as a portion of (adjusted) economic rather than raw volume Looking at the behavior of specific exchanges with regards to batching Investigating how much space and fees could be saved if major exchanges were batching transactions Lastly, we encourage everyone to run their transactions through the service at transactionfee.info to assess the efficiency of their transactions and determine whether exchanges are being good stewards of the block space. Update 31.05.2018 Antoine Le Calvez has created a series of live-updated charts to track batching and batch sizes, which you can find here. We’d like to thank 0xB10C for their generous assistance with datasets and advice, the people at Blockchair for providing the core datasets, and David A. Harding for writing the initial piece and answering our questions.
Hello! My name is Mihail Kudryashev, I am a frontend engineer at Platinum. We are a an international STO/IEO/ICO/POST ICO consulting, promotion and fundraising company with huge experience in STO and ICO marketing and best STO blockchain platform in the world! Learn more about it: Platinum.fund Our company gained popularity after launching the world’s number one online university with only practical knowledge on crypto economics. Now you can learn how to create and develop your own ICO and STO, how to market your campaign and make it super successful. Who are cryptocurrency investors? What drives people to invest in cryptocurrency? Read the extract of the UBAI lesson to get all the answers. Introduction to the Investors §2 In 2017, the total cryptocurrency market capitalization was approaching $850B which begs the question: Why are investors turning to cryptocurrencies? A survey by Blockchain Capital indicated that at least 30% of millennials would rather invest in bitcoin than invest in traditional stocks. Cryptocurrency investors, like traditional investors, expect a return at least proportionate to the risk they take. Due to the fundamental lack of regulation, incredible volatility and astronomical relative risk, many cryptocurrency investors expect to earn meteoric returns. Returns in the ranges of multiples from 200% to 1000%. Let us first begin by examining the kinds of people who invest in cryptocurrency, and then let’s see the reasons why each of them is investing in this relatively new market. Types of Investors The “Newbie” Cryptocurrency Investor This investor is just starting out. They probably have not had any significant experience in any form of investing before and bitcoin is their first experience. They have heard about people making incredible returns from cryptocurrency investing, or some aspect of the entire blockchain and crypto revolution attracts them, and they decide they want to invest too. Unfortunately, most of the newbie investors will end up losing their money, primarily because of one specific misconception; they think cryptocurrency investing is an easy way to make huge profits. “ “Types of Investors §2 “Gambler” or “Get Rich Quick” Investor This is the second class of cryptocurrency investor, and is actually not really an investor at all. This type of person is out to make a fortune as fast as possible. They will fall for whatever sweet-sounding scheme they hear. They love ideas that promise to double or triple their investment quickly. Like the Newbie, they do not understand how cryptocurrencies work, and they don’t care. The difference between this kind of investor and the successful individual or professional investor is that the gambler does not care about the management of risk, or about the timing of trades. They place their money on the table, and they hope it will make a good return. They are gambling rather than creating an investment thesis and executing a well-thought out strategy. They might even have an infectious positive attitude, but unfortunately it is not backed by knowledge or the due diligence required to be a successful investor. A good example of this style of thinking, outside of cryptocurrency, is high yield investment plans (HYIPs) that promise to multiply an investors capital by a certain factor. This is not to say that all HYIP programs are scams, but a good number of them are. Most importantly, the investors who flock into such plans have similar characteristics to that of the Get Rich Quick investor in that they will not take the time to learn about the field in which they are investing. They are just looking for fast money and an overnight success. “ “Types of Investors §3 Short Term Traders (Day/Swing Traders) Short term traders must, without a doubt, be the most knowledgeable investors if they are going to succeed at their chosen profession. They have, or they should have, studied the art and science of trading more thoroughly than other people. This is the kind of investor who has taken the time to learn about cryptocurrencies and the markets on which they trade. Short term traders create deliberate and timed strategies in an attempt to profit from fast market movements. Maybe many of the short term traders started off as Newbies, but these are the individuals who took the time and effort to learn about the market. They wanted to know what they were doing. These are the people who survived and thrived to grow into the type of trader that they want to be. Interestingly, the Day Trader does not attach emotion to any given coin. They do not need to believe in the sustainability/whitepapevision/road map, etc. of the project they are buying into at any particular time. They just need to be confident about the direction and timing of the potential price movement of the coin. “ “Types of Investors §4 Long Term Investors/ Hodlers A great majority of successful cryptocurrency investors can be most properly classified as Long Term Investors, or HODLers in true crypto terminology. These are investors who understand quite a bit about cryptocurrency and blockchain technology and believe in the sustainability of the coins in which they are investing. Think of the first few investors who bought bitcoin in the early days and years, when it was still deep under the radar for most people. These are the people who believed in the blockchain and cryptocurrency revolution. They didn’t sell their bitcoin for fast profit, although they had many chances to do so. They knew what they were doing, holding for the long term. These early investors and HODLers enjoyed astronomical growth all the way up to 2016 and 2017. But to be a long-term holder despite all the bad news and negative factors surrounding this brand new asset class, they must have really believed that bitcoin and the blockchain were going to change the world. This belief can only be established through study and research about the blockchain industry and the specific currencies and tokens in which you are going to invest. Follow up and learn more on www.ubai.co!” “Types of Investors §5 Sophisticated/Professional Investors These are experts in cryptocurrency investing. They most likely have a background in other forms of trading and investing, such as in stocks, bonds or options etc. They may also be earning fees by investing or managing money for other people. The Iconomi fund managers are a good example. Each Fund Manager manages an array of digital assets. Investors might choose Iconomi because it offers a platform for the investor to allocate funds to specific fund managers, with the ability to swap between managers instantly if the investor desires to do so. Each fund manager selects a number of coins in which they wish to trade or invest, with specified time horizons, short or long term. Investors can buy into the array of mutually held coins. This allows investors to utilize the knowledge and experience of professional fund managers to trade an allocated pool of capital, hopefully generating returns greater than the individual investor would be able to produce on his own. The fund managers are motivated by the fees and commissions they earn, and perhaps a performance-linked bonus. You can certainly be properly classified as a Sophisticated Investor without any need to be a fund manager for other peoples’ money. But a professional fund manager has the ability to trade with a larger pool of capital, manage complicated risk, and diversify trading strategy to generate various streams of income. “ “Between Countries A particular country’s participation in cryptocurrencies largely has to do with the legal regulations about blockchain projects and crypto currency investment in that jurisdiction. When China banned the use of cryptocurrency, most Chinese nationals had to withdraw their investments. Many other countries have also placed bans on the use or trade of cryptocurrencies. Countries like Japan that have allowed the use of cryptocurrencies have witnessed a significant rise in cryptocurrency investments as a result. Japan and South Korea are home to several high-traffic cryptocurrency exchanges, meaning that a notable proportion of their population is investing in cryptocurrencies. Another way to look at cryptocurrency investment demographics is to look at the bitcoin ATMs present in each country. The United States of America is the leading country, followed by Canada and then the United Kingdom. According to a report by Google trends, the five top countries interested in bitcoin are: South Africa, Slovenia, Nigeria, Colombia and Bolivia. Remember, cryptocurrency demographics can be a little tricky due to the anonymity involved. Many people may be afraid to participate in surveys, especially when their governments have placed legal restrictions on cryptocurrency investing. The main point the research seems to validate is that the demographics of the cryptocurrency investor base is diverse. While the average investor may be a white or Asian male between the ages of 26-30 with at least a university degree, the entire investor base is so much larger than that. Many big investors are likely to be significantly older, and have connections and businesses in the traditional economy as well. “ “Notable Investors in Cryptocurrency While many people have made fortunes from cryptocurrency investing, a handful of them stand out as being particularly remarkable. We will take a more detailed look at some of the biggest investment success stories to see how they did it and learn about their investing strategy. The Winklevoss Twins After being awarded their settlement from the lawsuit against Facebook, the Winklevoss twins decided to invest a significant portion of their money in Bitcoin. They invested $11million of the $65million they received. At that time, the price of a single bitcoin was about $120. This high-risk investment paid off handsomely and they became the first publicly known Bitcoin Billionaires, perhaps owning more than 1% of the total bitcoin in circulation. In an interview with Financial Times in 2016, the twins jointly said that they consider “Bitcoin as potentially the greatest social network because it is designed to transfer value over the internet”. They also pointed out that compared to gold, bitcoin has equal or greater foundational traits of scarcity and portability. “ “Notable Investors in Cryptocurrency §2 Michael Novogratz A self-made billionaire ex-Goldman Sachs investment banker, Novogratz has invested more than 30% of his fortune in cryptocurrency. In 2015, he announced a $500million cryptocurrency hedge fund, including $150million of his own money. Novogratz believes that “the blockchain, the computer code that underpins all cryptocurrencies, will reshape finance, just as the internet reshaped communication”. The investment thesis of Mr. Novogratz is similar to that of the Winklevoss twins. He has taken and maintains a long-term position while he trades in and out of short term moves, based on his fundamental belief in the potential and likely application of the underlying blockchain technology. By starting an investment fund in addition to his other cryptocurrency related ventures, he is demonstrating a strong fundamental grasp of the technology, including its applicability and impact across so many industries. Slide Barry Silbert In December 2014 after the US Marshal’s office seized 50,000 bitcoins from the Silk Road, Barry Silbert purchased just 2,000 of those bitcoins at $350 per coin. A few years later of course, those coins were worth millions of dollars. Barry is the founder and CEO of the Digital Currency Group (DCG) a cryptocurrency investment firm. Barry also made significant profits from Ethereum Classic, purchasing the coin in its very first days. He has invested in over 75 bitcoin related companies, including CoinDesk. As founder of the Digital Currency Group, Barry endeavors to support bitcoin and blockchain companies and accelerate the development of the global financial system. “ “Directly through Exchanges Step One: Register on a reputable cryptocurrency exchange To start investing, you first need to register on a reputable cryptocurrency exchange where you can buy bitcoin and other cryptocurrencies. Binance is a good exchange to use in this lesson. While it may or may not be the best, it is currently the largest, and they provide a very supportive layout and customer service department. You should remember, to buy most altcoins (cryptocurrencies other than bitcoin), you specifically need to use an exchange like Coinbase or Kraken that allows you to convert fiat currency into cryptocurrency. From there, if you want to trade altcoins not listed on that exchange, you will have to transfer your BTC or ETH to a larger exchange like Binance, and buy the altcoin you want, using whichever trading pair that is best suited (BTC and ETH pairs are most common). As we have already explained, if you are buying Bitcoin or any cryptocurrencies, you should invest in a wallet to safely store your coins. It is not advisable to store your BTC or other crypto on the exchanges for too long, due to hacking and other risks. “ “Directly through Exchanges Step Two: Determine your Strategy There are different ways to invest. You need to find a strategy that works for you and your specific set of skills. The value of a cryptocurrency is not defined by a formula or something out a textbook. If everyone was able to calculate the actual value of a share of stock, for example, or a bond, or other tradeable asset, then the price on an open market exchange would never move. Buyers and sellers would know exactly how much the asset is worth, so there would be no reason to sell lower or buy higher than the actual value. You need to come up with your own ideas and strategies to take advantage of market moves. Sometimes you will have a position that is contrary to the general market. Other times you might be trading in agreement with a majority of other market participants. Investors are basically separable into one of two groups of thinkers. Contrarian investors go against the crowd, swimming against the current; Momentum investors ride the wave feeling secure in the majority. Being different can be good or it can be bad. You do not always want to necessarily get caught up in the most crowded trade. “ “Things to keep in Mind Bitcoin Futures We need to mention the bitcoin futures market as another potential way to invest. Toward the close of 2017, Bitcoin started trading on two fully recognized and well-established futures markets; the Chicago Board Options Exchange (CBOE), and the Chicago Mercantile Exchange CME. The key quote from the exchanges was “because the futures can be traded on regulated markets, it will attract investors, making the market liquid, stabilizing prices and it will not suffer from low transaction speeds of Bitcoin Exchanges.” For a risk averse investor, this offers a safer entry into cryptocurrency investing. A futures contract commits its owner to buy or sell the underlying asset, BTC, at a set price, and at a set date in the future. The investor in the futures contract does not actually own the underlying asset, but rather is trading on fluctuations in the price of the asset over a certain timeframe, as specified in the futures contract. “ “Things to keep in Mind §2 Common Pitfalls We cannot conclude this lesson without one more look at the common pitfalls a new cryptocurrency investor should avoid. The problem areas are: -Falling for scams by failing to carry out due diligence. -Relying solely upon self-acclaimed crypto gurus and experts. If you want to trade, you must understand how to read news and charts for yourself. -Too much Greed. Not taking profit when you should. It is better to take a 20% gain, than wait for a 100% gain, only to lose it all in the end. -Lacking an investment strategy or exit plan. -Not sticking to your investment plan or strategy. -Allowing emotions to rule your decisions. Chasing your losses. -Investing what you cannot afford to lose. And finally, some time-tested wisdom from Wall Street: Bulls make money. Bears make money. Pigs get slaughtered every time. (Don’t be greedy!) We cannot overemphasize the risk involved in cryptocurrency investing. The potential to make huge gains over a short period of time does not come without risk. There is no doubt that significant players in the global financial markets are entering the cryptocurrency markets too. We are likely to witness more and more government authorities trying to regulate cryptocurrencies, hopefully to the overall benefit of a healthy market. It seems safe to say we will see cryptocurrencies become more mainstream due to the intense interest from the traditional financial industry and institutional investing community all over the world. What are better ways to successfully invest in cryptocurrencies? Which pitfalls should you avoid? Learn all on successful ICOs and STOs after reading the full lesson: UBAI.co How to start your STO/ICO campaign in 2019? 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Bitcore is a Bitcoin-based cryptocurrency created through a snapshot and airdrop process. Bitcore has 10 MB blocks with Segwit enabled which allows for the network to handle about 17.6 billion transactions per year. It also features an ASIC resistant pow algorithm, Timetravel10, and a difficult adjustment called 64_15 that ensures that there is no more than a 15 percent change in difficulty ... Slush Pool is the first Bitcoin Pool launched in the year 2010 by the name Bitcoin Pooled Mining Server. The site got its first blockchain in the year 2012 and since then over 15000 blocks were mined by this site. Slush Pool is run by Satoshi Labs, the Czech based tech company. The first offline Bitcoin wallet and the first Bitcoin-centric world map was created by Satoshi Labs in addition to ... - Bitcoin Hacker Bitcoin Faucet With No Captcha Financial Times Bitcoin Crypto Currency Guide Bitcoin Monthly Chart Does Amazon Use Bitcoin Today Bitcoin Rate Financial Times Bitcoin Bitcoin Chart 2015 Bitcoin Hacker Chart 1 - Mining difficulty of Bitcoin (BTC) (log scale) Sources: Binance Research, Coin Metrics. As illustrated by chart 1, the mining difficulty of Bitcoin has increased dramatically since 2010. Before 2010, the mining difficulty remained constant around 1 as Satoshi was likely “mining everything by himself”. Regarding Bitcoin mining, there are four primary paradigm shifts (and five ... Binance has the potential to become another major pool on the scene which would dent the decentralized mining space of Bitcoin, and this has been pointed out by certain members in the community. Twitter user ‘HsakaTrades’ tweeted a chart of Bitcoin’s hash rate distribution accompanied by the caption: “This hash distribution chart is soon going to be composed of just one colour.” Join the chat on Bitcoin and Bitcoin price in Investing.com's live Bitcoin discussion and chat platform. December 16th First block generated by mining pool under user sluch. Bitcoin in 2011 ... They then declined to not much more than $200 in early 2015. Bitcoin price chart since 2009 to 2017 and 2018 . Bitcoin value history (comparison to US $) Date USD : 1 BTC Notes Jan 2009 – Mar 2010 basically none No exchanges or market, users were mainly cryptography fans who were sending bitcoins for ... Der aktuelle Bitcoin-Kurs (14,879.64 $) im Live-Chart in EUR, USD & CHF im Überblick Bitcoin-Rechner Verfolge den aktuellen Kursverlauf live! May 2018 update – While bitminter mining pool remains online, the mining pool mined less than 2 dozen blocks during all of 2017, and only 2 blocks in 2018 so far, so the information in this article may be out of date as it was originally published in 2015. A look at the Bitminter Bitcoin Mining […] Binance Pool launched in April of this year, allowing miners to mine SHA-256 algorithm-based coins such as Bitcoin (BTC), Bitcoin Cash (BCH), and Bitcoin SV (BSV). Within a month the pool became one of the top ten mining pools, with over 6,000 miners on it. Currently, the pool places sixth on the BTC mining pool charts with 5.7% of the total BTC hash rate in the past week. So What are the new ...
If we repeat 2015 the Bitcoin Bearmarket is over now!
https://twitter.com/HongKongFP/status/1182196845511987200 BITCOIN PRICE ‘TERMINAL SHAKEOUT’ COULD SPARK 2017 STYLE BULL RUN, ANALYST https://bitcoinist.com/b... Binance FIAT https: ... My Chart Tool: TradingView ... 😱This Guy predicted the Price of Bitcoin in 2015!😱 - Duration: 10:03. sunny decree 50,001 views. 10:03. Wrapped Bitcoin, NEM Bankruptcy ... Binance FIAT https: ... My Chart Tool: TradingView ... BITCOIN TO $50,000 - THE FEDERAL RESERVE GUARANTEES IT!!! Price Prediction - Crypto News 2020 - Duration: 15:20. Lark Davis 14,473 views. New ... Ethereum Chart Analysis Cardano Chart Analysis Binance Coin Analysis Price Prediction TODAY’S VIDEOS Binance Coin Price Prediction BNB Coin Chart Analysis BNB to the moon https://youtu ... This video is unavailable. Watch Queue Queue Binance Pool has received mixed responses from the crypto community, with some commentators expressing concerns that Binance's pool will result in a further centralization of Bitcoin ( BTC ) hash ... Off The Chain #238: PlanB on Why Bitcoin’s Stock-To-Flow Model Is Becoming More Accurate Over Time - Duration: 1:05:59. Anthony Pompliano 41,748 views 1:05:59 willkommen zur Bitcoin-Informant Show Nr. 870. Heute sprechen wir über folgende Themen: Binance startet eigenen Bitcoin Mining Pool, Institutionen zeigen grosses Interesse an Ethereum & Bitfinex ...