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  1. https://www.profitconfidential.com/cryptocurrency/ripple/xrp-price-prediction-swift-tries-combat-growing-xrp-threat/ I enjoyed reading this article and would like to know what 'report' its referring to. What have I missed? They are maintaining the $10 price prediction too. "there was a report that SWIFT, Ripple’s main rival, is talking up its efforts in distributed ledger technology (DLT)." It's nice to see predictions holding firm despite the long slump.
  2. Tuesday morning brought some good news for the cryptocurrency market, but it was a mixed blessing for Ripple. The total cryptocurrency market cap rose 6.2% overnight, bringing in fresh investment from fiat currencies. That’s the good news. Read Here... https://www.profitconfidential.com/cryptocurrency/ripple/price-prediction-xrp-pushed-back-dark-horse-status/?utm_source=rp.xrpchat&utm_medium=referral
  3. @Hodor and @zerpian, this is for y'all. Price of XRP regressed against total crypto market cap and wallets. Nothing we probably didn't already know which is that when people buy into cryptos in general, they buy some XRP, and the price of XRP rise sharply when a bunch of new wallets are created. Sample size of 13 here, but if we decide later that it's worth running more history, or adding in more variables, or both, just send me the data and I'll regress it if you want. This kind of analysis will really on be significant when XRP is used as a true currency valued on utility as opposed to spec pricing, but it's fun for stats guys. I mean, look at those p-values and r-squared, especially for the wallet creation figures.
  4. Why Bitcoin Crashed in January 2018 “Too big to fail” is a phrase often ascribed to the banking industry giants who have become so huge that their failure poses a threat to the entire economy. For some governments, Bitcoin is now becoming the cryptocurrency equivalent of these “too big to fail” enterprises. It is ironic that the very technology that promised to break us free from the clutches of money-hungry sharks is now being viewed as their equivalent. Yet, this idiosyncrasy strengthens our Bitcoin price prediction for 2018. https://www.profitconfidential.com/cryptocurrency/bitcoin/btc-price-prediction-2018-bitcoin-to-double/
  5. https://ripple.com/insights/2018-predictions/
  6. I have expected Ripple to rise, but from my view on charts Ripple is gonna fall to 0.15 cent for 1 month so it can go still to 0.28 cent, but most likely is gonna go to 0.15 or 0.17 cent for 1-2 months. Probably this month of December or beginning of January 2018 Ripple is gonna go to 0.15-0.17 cent and then retrace up.
  7. Here I hope to highlight the complete fallacy of using the Market Cap for anything useful, particularly predicting future maximums, or even as a cross-crypto comparative tool. Disclaimer: As always, all of this is my opinion, so if you take issue with any of my statements, find the data to refute me, but don't expect me to 'jump' to your commands of 'prove it'. First, what is the definition of Market Cap? It's: (number of coins) TIMES (current price per coin) That's it. This simple formula, probably because of its simplicity, has lead to a rabid adoption by the general masses as some form of meaningful indicator. No serious investor acknowledges this sensationalist figure for technical analysis purposes, with perhaps the exception of its psychological effects on inexperienced traders. At this time, it's arguable that most of the money that sits in crypto is speculative, meaning investors hoping for the value to increase, as opposed to actually using the coin for transfer of value (purchases, etc.). This pool of speculative investor money is approaching maturity in that the cat is out of the bag for the most part so most potential crypto investors have already positioned themselves in the market, thus the early phenomenal historical gains of the past years, are unlikely to be reproduced by speculation money alone, simply because those gains were mostly due to the increasing awareness of crypto. Therefore, the pool of crypto value, while still growing substantically and crypto investing continues its mainstream adoption, isn't going to grow exponentially until a categorically new infusion of wealth presents itself. For the time being, this only really leaves opportunity for speculator sentiment to 'shift' wealth to the latest and greatest crypto, but the total real wealth increase has slowed. Back to Market Cap. I wish to dispel the two notions I mentioned earlier: 1) Myth: Each coin's Market Cap can be used to compare against each other The problem with the Market Cap formula is it attempts to answer a very complex question with too few variables; that question being, "what is the relative value of this coin to its maximum value?" Tricky question, because few people ask the question, "what decides the maximum value?" Time and time again, many people will erroneously use the leading coin's (Bitcoin) market cap as some sort of indicator of maximum market cap value for any other coin. How does this make any sense? Particularly if the coins are for completely different use cases. Why does Bitcoin's market cap have any relevance to Ethereum's, or Ripple's? Well, it doesn't, whatsoever; but, this is the psychological barrier put in place, presumably from instinctual impetus given that we see Bitcoin all grown up, so Bitcoin's siblings can't get much bigger right? They're not kids, so the first step to clearing the nonsense of Market Cap from your mind, is that one coin's market cap has anything to do with another coin's, for the same reason your kid went to college while the neighbor's kid smoked pot all day. 2) Myth: Market Cap can be used to predict maximum value Here's the really tricky part, and will form the remainder of this explanation. First, these are the important data points that need to be considered: - The maximum total of coins that will ever exist - The number of destroyed coins - The total coins currently in existence - The number of hoarded/locked coins - The number of utilized/circulated coins (this includes active trading) - The maximum value of market penetration (SWIFT market, retail market, lending, etc.) All play a part in the current value of a coin. Without using all these factors involved in calculating the potential maximum price for a coin, you end up with gibberish, so let's try to put some real values at work for Ripple. These figures are very very rough, just to demonstrate their relationship, not actually predict a value. maximum that will ever exist: 100 billion destroyed coins: a few million currently existing : 100 billion (minus a few million destroyed coins) hoarded coins: 55 billion in lockup, billions more remaining in Ripple, Inc. another presumably 25 billion held by investors and FI's in hodl psychosis. Say the total is 95 billion. utilized coins: (currently existing) MINUS (hoarded/locked coins). Plugging in numbers: 100 billion - destroyed coins - hoarded/locked coins EQUALS APPROX 5 billion maximum value of market penetration at any one moment: say $1 billion for our current active traders Couple things I wish to point out here. First, why would I say $1 billion market penetration when billions can trade in a single day on exchanges? Well, if I give you $20, and you give me back $20, do I have $40 bucks now? No, of course not. That's why you have to pick a point in time that asks, how much XRP is being utilized for a purpose at this exact second, similarly to how an exchange determines value, point in time. That's why I chose $1 billion (a completely subjective number of course, plug in whatever you want). Second, the last parameter "market penetration" MUST be entirely compensated for by the total value of all the "utilized coins" simply because inactive/destroyed/locked coins don't contribute to the facilitating of the market penetration, only the utilized coins can do that. In other words, none of the other values matter. Therefore, the value of XRP = (market penetration) DIVIDED BY (# of utilized coins). In real numbers: $1 billion DIVIDED BY 5 billion coins = 0.20 cents per coin. Coincidence?? (Not really, I massaged the numbers of course). What does this all mean for market cap? Who gives a damn what 100 billion total coins TIMES 20 cents equals, it's meaningless. The value of XRP only depends on the market penetration and the number of coins that can be utilized. That's it. The meaningful calculation for coin cap valuation can only be 5 billion * 20 cents = $1 billion dollars (again, plug in your own numbers), a far cry from the insane $9 billion bloated figure everyone is using. Now that we've eliminated the gross exaggeration of XRP market cap, the even trickier part becomes determining market penetration maximums. It's easy to say, well, SWIFT transfers trillions of dollars per year. So what! It's completely irrelevant what happens over a year. What is relevant is how much money is in transit at any given point in time. Let's say $500 million for fun. That means if SWIFT was replaced with XRP, then at any given moment, $500 million worth of XRP would be in use. This would add further demand on the 5 billion utilized coins, so add $500 million DIVIDED BY 5 billion utilized coins = 10 cents to XRP's value, for a total of 30 cents. Not what you were hoping for? But wait, there's more... Replacing SWIFT in my mind, is a credibility strategy by Ripple, not necessarily its golden egg. Once XRP gets this exposure, it will have its foot in the door and XRP will rapidly cascade into literally every other use case (of which there are infinite) that money itself currently faciilties, and at the same time radically accelerating each of those paradigms, and creating so many new ones we have yet to conceive because old-fashioned money couldn't support new ideas. Let's look at a few others: RETAIL: Who wouldn't want to aim their smartphone camera at an on-screen QR code at the cash register, and then be done. No more credit cards, no more remembering dozens of PINs and passwords, no more trying to re-activate your credit card from suspected fraudulent activity because the banks are knee-jerking at your irregular purchase of a smoothie. To hell with banks. Click, done. Gazillions of dollars. This is a much larger market than SWIFT in my opinion, solely based on the frequency of transactions that will require much more overall XRP to be in flight at any given moment. VISA, the writing is on the wall buddy... ADOPTION: Imagine when people, businesses, governments even, stop always converting back to fiat and just staying in XRP. This becomes the 'currency flight' turning point, and valuation will go into the hundreds to billions (DIVIDED by the number of utilized coins). Multiple dollars per coin. EDIT: a lot of people misunderstand this statement as replacing fiat altogether, that's not where I was going with it. It just means they are increasingly using it, and it just makes sense to hang onto XRP instead of quickly in-and-out LENDING: Here's where solid figures go out the door. With solid reserve lending laws already in place, and if adoption is widespread, more and more XRP will be needed, and that need magnified by the banks tendency to lend wealth they don't actually have (mortgages? CDOs anyone?). INVESTING: If you think lending is big, how about the huge margin investing that we've seen in investment firms. It get's maniacal EMERGING COMMERCE: Micropayments, robotic payments, and completely unknown revenue streams that couldn't exist without XRP, much like Uber couldn't exist without smartphones. SPECULATION: Riding on top of it all, there are people that understand the above, and will be in early, and accordingly the price will ride the speculative bubble before these ideas are set in stone, so theoretically, the price of XRP will perpetually be artificially inflated in anticipation of its eventual justification as the new markets embrace it. Suffice it to say, that the demand for XRP can easily eek into the trillions, even quadrillions, which DIVIDED by 5 billion, is many thousands of dollars per XRP. However dreamy and seemingly impossible these figures appear, that my friends is the potential market for XRP, beyond comprehension. So take your market cap and toss it in the garbage where it belongs. Will it hit any of these values? Who knows.. but what's important to recognize is that XRP doesn't answer to stupidity like: A TIMES B EQUALS Maximum, nor does it answer to Bitcoin, or SWIFT, or even the entire wealth of the world; it makes its own value. Yes, I meant 'rabid'
  8. I have a prediction for the rest of the world's population who are not yet familiar with, or involved in, blockchain technology. This is only my opinion and it's mainly based on my analogy of how banks are issuing new debit cards with RFID chips put onto them in comparison to the further growing use of blockchain (Ripple) technology in the banking sector. I remember a time not long ago when I never had to push my debit card into a card reader slot for it to scan a chip for an additional layer of protection. The moment I got my new card in the mail It had felt like it just happened over night, but in reality the national level of ownership of these debit RFID card grew exponentially within a year. Yes, I do understand that not all businesses utilize the chip's technology when a customer purchases something from their shop, but the facts are still there. We (most of us) have an RFID chip card in our pockets these days which was issued by a bank or a credit card service company,. excluding military issued Identification cards. Global population adoption and acceptance of blockchain technology is inevitable in my opinion and I believe Banks will be the ones to introduce a better way, a faster way and a safer way to pay for goods and services on a global scale using blockchain technology. Everybody sometimes uses the chip readers in a physical store and in others you don't. When online shopping, sometimes you make purchases within your country and sometimes you don't. Please let's keep the hate to a minimum. This is just my opinion and if you object that's perfectly fine because everyone has a right to discord, but if you see what I see let us all know. Either way you can look at this works for discussion. How do you envision the majority of the world's population being included into some kind of blockchain?
  9. I am currently thinking about investing $100 into Ripple. I have done my own research but I am just curious to know what everyone's opinions are on the potential of Ripple (price predictions,ect). Is it worth holding? Thanks
  10. This post concerns price prediction for XRP, but also -- taking a step back to provide a little perspective -- (price) prediction in general. I don't consider 'XRP to the moon!' or 'Bitcoin to USD 500,000!' to fall into the category of serious predictions. Requirements for prediction Predicting a price for XRP or any other crypto asset is a difficult task. Asking people here who may be more knowledgeable about the inner workings of Ripple (the company) or who may have been speculating in crypto for longer than oneself to make predictions for next month, next year, or several years out is something of enormous complexity that is, most likely, beyond pretty much anyone's level of skill to accomplish at this point in time. No one is immune from harboring a hope or hazarding a guess as to eventual valuations, but it is important to realize a guess is just that. Some guesses are based on better information, specific domain (banking) knowledge, and/or made from a more level-headed point of view, and thus are more educated. They are still guesses, however. Coming up with well-founded predictions hinges on at least two things: 1) availability of historical data and 2) an understanding of the relative importance of the factors involved in determining price and of their relationships. With both of these well in hand -- and if the underlying assumption described below holds -- we can take a shot at a price projection by building a predictive model. Without them, we are most likely back to 'XRP to the moon!' Obstacles to prediction What are some of the possible obstacles we may run into? As to #1, data may not be available for a long enough time period to help us discern trends, cyclic variations, seasonality, etc. It may also happen that we simply don't have enough data, we have little data that are reliable, or we completely lack trusted data sources. And what about data that may not have predictive value? We may have data with a lot of noise (extraneous factors we have a hard time detecting, or filtering even if detected) or that, coming from a variety of sources, requires extensive prepping to be usable. Data preparation, or data wrangling as it is sometimes called, may involve discarding information wholesale because parts of it are incomplete, or force us to do any number of interpolations, which detract from the data's exactitude. As to #2, not all important factors may be observable to us (ex. Ripple's possible partnership agreements in development and/or subject to NDAs), their relative importance may grow or wane over time, new/unforeseen factors may come into play (ex. SEC regulations), or we may be unable to assess how these factors interact and quantitatively influence price without designing fairly complex statistical experiments. If all of this is under control, so to speak, and we are reasonably confident in our grasp of the subject matter, we can proceed to build a model that may have a chance of formulating useful predictions. Basics of building models Predictive models are built in which current predictions account both for the additive effect of past values of variables and past predictions. These models are error-driven by the difference between previous 'wrong' predictions and previous actual values, with past data also weighed differently according to recency -- typically, more recent data are assumed to be more influential and older data are 'discounted' and incorporated into the model accordingly. Note, however, that including data from an earlier time period not resembling the current one will likely influence the model's prediction accuracy negatively. Many of these models work in real-time, meaning predictions are recalculated and the model is updated whenever new data come in (every minute, etc.) As a side note, 'real-time', commonly thought of as being on the order of milliseconds or nanoseconds, means nothing more than a time frame short enough to enable you to take a decision that can usefully act upon your system of interest. What this means is that, if things change once a day instead of every few minutes, there is no reason to measure and recalculate your model every second. As one looks increasingly ahead, the prediction horizon moves as well ('receding horizon' modeling.) In understanding and 'regressing' (finding/fitting) possible relationships between all influencing variables and the dependent/output variable (ex. price), much work is involved in gauging which among these factors may carry more weight and need to be included in the model and which can be safely ignored with a view to simplifying the model and making it less computationally intensive. Per Occam's razor, a simpler model that explains a situation 'well enough' for our purpose is preferred to a more complex one, and a good modeler must know not only what and how to model but also when diminishing returns set in and thus when to stop. A common caveat here is not to confuse correlation with causation, meaning not to jump to unwarranted conclusions about the information you think you understand and attribute non-existing properties to relationships. We should strive to see what's there, not just what we want to see that supports our biases. Human nature being what it is, this does not come easy to many. Limitations of models Many financial models of exceeding complexity have been built, with a large number being unsuccessful or only modestly successful. This is not necessarily due to lack of skill on the part of the modelers, but rather to the inherent complexity of the task, including 1) accounting properly for all important variables (many of which may be hidden/unobservable), and 2) being able to quantify/measure them accurately, both in an absolute sense as well as relative to one another. Once built, the range of validity of a model is another important aspect to consider. In our over-zealousness to draw conclusions that apply 'always', we often extrapolate conclusions beyond the realm of the model's credibility. Misapplication of models does happen, and is likely to happen more often the more a model is complex and appears as a 'black box' to the often naive end user. Simple models you can understand and explain, complex ones are beyond most people's reach. I include in the latter, for example, models based on neural nets, with 'reasoning paths' that are very hard to explain and therefore are not readily accepted in the lawsuit-prone medical diagnostics domain (vs. decision trees, which are more understandable, at least up to a point.) As someone said succinctly, you can usually torture data to the point where it will eventually confess and admit to anything you want or hope for, and it is only an understanding of the domain and modeling that can guide you here. These factors are all the more true when people are involved, and especially in an unregulated and sentiment-driven environment such as crypto, with allegiance to specific 'coins' and disdain for others bordering on fanaticism. Even stocks and bonds, which are heavily regulated and long established, pose a formidable challenge to successful prediction. Typically, mathematical models are built to handle 'steady state' situations, but cannot deal with 'transients' nearly as well or at all. Transients are sudden changes that eventually die out but reflect the fact that the system being looked at is moving from one situation or set of operating conditions to another (ex. ICO period to 5 years post-ICO.) The more stable and under control a situation is, the easier it may be to make a prediction. This, by the way, is true not only for finance but also in science and engineering. Interestingly, the more a model is good at tracking, the worse it usually is at detecting/predicting unforeseen changes. And 'unforeseen' is the key word. I always remember Peter Lynch, the successful (and very hard working) Fidelity Magellan fund manager, stating ruefully and not with little irony that 'earnings surprise' were the two words most often heard together in that setting, despite all of his and his staff's poring virtually 24x7 over financial reports, traveling extensively to talk to managers and do tire-kicking and look under hoods at company plants, etc. Consider also that these assessments and attempts at forecasting concerned established companies, within well developed and understood markets, and with years of widely available and endlessly dissected information. I should also add that there is no shortage of commercial models/tools that are retrofitted to past data and made to look as if they are near-infallible for marketing purposes, yet when applied to new data they fall abysmally short of inflated expectations. One consequence of 'over-fitting' is typically the lack of ability of a model to generalize to different situations. This is an interesting rabbit hole to explore, but I will leave it at that for now. Underlying assumptions I mentioned steady state and transients. The implicit assumption underlying prediction efforts -- and it is a huge one, ignored at one's own peril -- is that the future has a fairly close relationship to the past and present in terms of the operating environment, influencing factors, etc. I repeat, the future is assumed to be not too different from the present or the historical past. Another word for this is 'stability'. So, one may well want to ask oneself the following: How stable is the crypto environment? Is this an incremental change or a disruptive sea change we are living? Do I have abundant data, and do I know these data to be accurate and consistent across time periods? Do the data have predictive value, or is the price of any crypto asset, including XRP, a 'random walk' and therefore not useful for arriving at future prices? How confident am I that, looking at the past history of XRP prices and other information at my disposal, I can come up with something (a model or series of quantitative relationships based on the data available to me) from which I can reasonably predict what its price is likely to be 6 months from now? Is a future value prediction even a reasonable thing to attempt, or is a broad range of value the best I can hope for? Do I understand what's at play here as far as factors influencing price movement? Can I even tell how much of XRP's price movement is due to Ripple/XRP exclusively and how much to Bitcoin-specific developments? How much is there that I simply don't know? (impossible to know, by definition, but always good to ponder.) Do I understand what Ripple's value proposition is, and do I believe it will be more/less/equally interesting to FIs three years from now? How competitive is the playing field for use cases other than cross-border payments? Would I have known 2 years ago or 1 year ago where XRP's price would be today if I had applied my current reasoning to the situation then? Could well-thought-of Ripple employees have done any better with more information available to them? Can I readily quantify the potential impact on price of something quantitatively known well in advance, such as the coming escrow/lockup? If not, what are my chances of being successful with 'information' that is far more uncertain? Also, will it rain tomorrow at 10 am? Even here, weather predictions coming out of complex models are of the type '50% chance of rain' whereas we would like to know 'yes in the late morning, no in mid-afternoon', not quite the same thing. Reasonable expectations I have known CEOs and CFOs who wanted an analysis to yield 'a number' that would be an accurate prediction of some future value. They acted as if we lived in a certain world. Because we do not, it is often better to come up with an estimate of a range of values, each with a different probability of occurrence. This is because there is so much uncertainty as to what matters and how it may evolve that 'a range' is literally the best one can aim for. Claiming the ability to do otherwise would be naive and/or dishonest. Even using Monte Carlo simulation of thousands or tens of thousands of combinatorial scenarios as a means of dealing with uncertainty in relevant factors requires a level of knowledge about the data being used and the interrelationship of variables at play. Uncertainty in the inputs translates to uncertainty in the output (prediction) if you incorporate it in the model, and into a poor prediction if you don't. It is best not to ignore uncertainties, and try to identify them and act to reduce their impact instead (ex. increase the information content of the model.) Models can also be developed to be robust in the face of uncertainty, which is a complete field of research unto itself. No doubt companies such as BlackRock, GS, Fidelity, and others wading into this space will be deploying their best resources to grow the business of crypto prediction, most likely via machine learning. Massive computing resources are being and will be thrown at the task of semi-automatically building very complex predictive models. And they'll still get things wrong a fair amount of the time, despite the terabytes of data at their disposal. Regardless of the domain, it is generally easier to make predictions 'in the aggregate' about a sector or a group (of stocks, bonds, hospital patients, real estate in a specific neighborhood, and perhaps a subset of crypto assets) than it is to do so about a single individual or instance in that domain. We might be able to predict that the crypto space, as it relates to the top 50 assets, will likely 'be up' in market cap a year from now far more easily than 'by how many' dollars or cents a single asset will climb or fall in the coming week. This, of course, may disappoint those who demand or pretend to know where XRP's price will be tomorrow at 5 pm. Parting thoughts Expecting other speculators on these forums -- or Ripple's CEO, for that matter -- to come up with a number that may fairly accurately reflect XRP's value (or that of any other budding crypto project, as I am loath to call most of these initiatives 'coins') at some near future date is a fool's errand, so to speak (no offense meant.) I understand the dreams, the concerns, the impatience, and all the rest, but awareness is needed as to the complexity of what is being asked. And no one here needs to feel bad if they can't come up with a proper prediction, given all the unknowns and the fast-changing environment in which we in crypto are immersed. In my view, a sensible approach is the following: as long as our research about the company, competitors, partnerships, upcoming regulations, and so on presents convincing arguments to our reasoning and supports our expectations for a better future (qualitatively, not quantitatively), consider staying involved. When the quantitative panorama clears and our grasp of the situation improves, decide whether and how much to invest. Whenever data cease to inform, or if we are unable to establish anything with certainty, stop and reconsider. Disclaimer: I am not a financial adviser and nothing in this post, or other posts by me, constitutes financial advice. I leave you with four pithy quotes that have stood the test of time, as uttered by people well known in the world of logic, finance, the business of investing, and the area of model building/forecasting for their (un)common sense as well as their skill: On modeling: All models are wrong. Some are useful. On forecasting: If you are going to forecast, forecast often. Again, on forecasting: A forecast tells you more about the person making it than it does about the future. On overly complex explanations: When you hear hoof-beats, think horses, not zebras. Food for thought? I hope I didn't put too many here to sleep with this and that at least a few among you found it somewhat useful. It is not a complete picture, but it highlights a few aspects worth reflecting upon. Best wishes to all with Ripple and XRP.
  11. At the end of the year Ripple Labs have stated that they will lock up the majority of the XRP supply in escrow only releasing 1 billion to meet demand per month. By doing this Ripple will make XRP more valuable to short term individual investors. Currently 80% of total cryptocurrency are valued against BTC, XRP is the only digital asset that is bridging the gap between crypto and fiat. While more institutional investors and liquidity providors enter the market they shall see the real use case for XRP as an asset and use it accordingly. As it stands today you can accept payment in any digital asset you like if you are a merchant but unfortunately salaries, rent, tax all need to be converted/payed in fiat. Governments aren't going away, Banks aren't going away, it is reductive to speculate on a digital asset that is only a means in of itself like bitcoin or many of the majority of 'Alt coins'. For this reason Ripple Labs have clearly developed the best solution in this crypto space to meet the needs of real world financial institutions. My prediction is that once the escrow deposit happens more institutional investment will purchase XRP and the digital asset with then not be following the BTC mkt trend, it will break away and be the most stable, most valuable and long term digital asset in the world. We have seen a current high of $0.42 low $0.12 in the current trend. I believe XRP will surpass $0.95 soon and $5 by the end or beginging of Q1 2018. If you haven't already watch Dilip Rao:
  12. http://www.profitconfidential.com/cryptocurrency/ripple/ripple-price-forecast-analysis-august-21-2017/
  13. https://i.redd.it/o5f51ulv04az.jpg?utm_content=buffera6235&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer This Reddittor provides his take on price predictions for XRP that range from $2 to $120. Thought-provoking to say the least!
  14. Just for fun. Money 20/20 takes place from June 26-28 in Copenhagen; what do you predict the price of XRP will be at the conclusion of the event on the 28th? ....$0.45 is my prediction...
  15. Year 2024 Let's start.. Every country seems too wanna run there own currency on blockchain and they will! Country like Sweden want to have E-Krona as a digital currency on blockchain on an APP/DAPP. How this will be done and how many there will be? no one knows! But it can only be used in Sweden. So lets say you want to travel in year 2024. What you would need to do is convert your countrys ''App'' digital Money in to Ripple XRP and then convert it too that countrys ''App'' Digital Money. In other Words what we are talking about is : ---== WESTER DIGITAL UNION ==--- How many other countrys have plans for country ''app'' digital Money more then Sweden Denmark Japan Canada Norway And what more countrys ? And what are your thoughts on that ? E-Krona = E-Crown http://www.ibtimes.co.uk/swedens-central-bank-turns-national-digital-currency-society-ditches-cash-1592083 Have a good day.
  16. Hi guys. I am new member of this community and want to get your opinions on how much do you think will be the future value of ripple Minimum .. Median,,,,, Maximum it can go to in your opinion.... (in USD term if possible ) and rough time frame for that..... Thanks Guys....
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