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Ripple (XRP/BTC) Extends Recent Gains Against Bitcoin: Chart of the Day 9 April 2020

Ripple (XRP/BTC) Extends Recent Gains Against Bitcoin: Chart of the Day 9 April 2020 submitted by n4bb to CoinPath [link] [comments]

Why do almost all Bitcoin Price Chart Sites only show price history back to April 2013? What changed?

None of these sites go past April 2013 anymore.
These sites do.
submitted by bearCatBird to BitcoinMarkets [link] [comments]

Bitcoin Futures: CME tops charts, trading volumes spikes by 263% as April rally buoys market

Bitcoin Futures: CME tops charts, trading volumes spikes by 263% as April rally buoys market submitted by n4bb to CoinPath [link] [comments]

5-Minute Bitcoin Chart Technical Analysis [April 2019]

5-Minute Bitcoin Chart Technical Analysis [April 2019] submitted by WebSwiftSEO to CryptocurrencyVideos [link] [comments]

Why do almost all Bitcoin Price Chart Sites only show price history back to April 2013? What changed? /r/BitcoinMarkets

Why do almost all Bitcoin Price Chart Sites only show price history back to April 2013? What changed? /BitcoinMarkets submitted by ABitcoinAllBot to BitcoinAll [link] [comments]

Monthly chart on Bitcoin transaction fees. New all-time highs were set in April for both median and average values!

Monthly chart on Bitcoin transaction fees. New all-time highs were set in April for both median and average values! submitted by Har01d to Bitcoin [link] [comments]

Monthly chart on Bitcoin transaction fees. New all-time highs were set in April for both median and average values!

Monthly chart on Bitcoin transaction fees. New all-time highs were set in April for both median and average values! submitted by Har01d to btc [link] [comments]

Most comprehensive all-time Bitcoin price chart, starting as early as April 25, 2010

Most comprehensive all-time Bitcoin price chart, starting as early as April 25, 2010 submitted by _mrb to Bitcoin [link] [comments]

Monthly chart on Bitcoin transaction fees. New all-time highs were set in April for both median and average values!

Monthly chart on Bitcoin transaction fees. New all-time highs were set in April for both median and average values! submitted by BitcoinAllBot to BitcoinAll [link] [comments]

Bitcoin April Vs Current Peak, Striking similarities of the charts and indicators!

Bitcoin April Vs Current Peak, Striking similarities of the charts and indicators! submitted by 20_rc51_00 to Bitcoin [link] [comments]

DDDD - The Rise of “Buy the Dip” Retail Investors and Why Another Crash Is Imminent

DDDD - The Rise of “Buy the Dip” Retail Investors and Why Another Crash Is Imminent
In this week's edition of DDDD (Data-driven DD), I'll be going over the real reason why we have been seeing a rally for the past few weeks, defying all logic and fundamentals - retail investors. We'll look into several data sets to see how retail interest in stock markets have reached record levels in the past few weeks, how this affected stock prices, and why we've most likely seen the top at this point, unless we see one of the "positive catalysts" that I mentioned in my previous post, which is unlikely (except for more news about Remdesivir).
Disclaimer - This is not financial advice, and a lot of the content below is my personal opinion. In fact, the numbers, facts, or explanations presented below could be wrong and be made up. Don't buy random options because some person on the internet says so; look at what happened to all the SPY 220p 4/17 bag holders. Do your own research and come to your own conclusions on what you should do with your own money, and how levered you want to be based on your personal risk tolerance.
Inspiration
Most people who know me personally know that I spend an unhealthy amount of my free time in finance and trading as a hobby, even competing in paper options trading competitions when I was in high school. A few weeks ago, I had a friend ask if he could call me because he just installed Robinhood and wanted to buy SPY puts after seeing everyone on wallstreetbets post gains posts from all the tendies they’ve made from their SPY puts. The problem was, he actually didn’t understand how options worked at all, and needed a thorough explanation about how options are priced, what strike prices and expiration dates mean, and what the right strategy to buying options are. That’s how I knew we were at the euphoria stage of buying SPY puts - it’s when dumb money starts to pour in, and people start buying securities because they see everyone else making money and they want in, even if they have no idea what they’re buying, and price becomes dislocated from fundementals. Sure enough, less than a week later, we started the bull rally that we are currently in. Bubbles are formed when people buy something not because of logic or even gut feeling, but when people who previously weren’t involved see their dumb neighbors make tons of money from it, and they don’t want to miss out.
A few days ago, I started getting questions from other friends about what stocks they should buy and if I thought something was a good investment. That inspired me to dig a bit deeper to see how many other people are thinking the same thing.
Data
Ever since March, we’ve seen an unprecedented amount of money pour into the stock market from retail investors.
Google Search Trends
\"what stock should I buy\" Google Trends 2004 - 2020
\"what stock should I buy\" Google Trends 12 months
\"stocks\" Google Trends 2004 - 2020
\"stocks\" Google Trends 12 months
Brokerage data
Robinhood SPY holders
\"Robinhood\" Google Trends 12 months
wallstreetbets' favorite broker Google Trends 12 months
Excerpt from E*Trade earnings statement
Excerpt from Schwab earnings statement
TD Ameritrade Excerpt
Media
cnbc.com Alexa rank
CNBC viewership & rankings
wallstreetbets comments / day

investing comments / day
Analysis
What we can see from Reddit numbers, Google Trends, and CNBC stats is that in between the first week of March and first week of April, we see a massive inflow of retail interest in the stock market. Not only that, but this inflow of interest is coming from all age cohorts, from internet-using Zoomers to TV-watching Boomers. Robinhood SPY holdings and earnings reports from E*Trade, TD Ameritrade, and Schwab have also all confirmed record numbers of new clients, number of trades, and assets. There’s something interesting going on if you look closer at the numbers. The numbers growth in brokers for designed for “less sophisticated” investors (i.e. Robinhood and E*Trade) are much larger than for real brokers (i.e. Schwab and Ameritrade). This implies that the record number of new users and trade volume is coming from dumb money. The numbers shown here only really apply to the US and Canada, but there’s also data to suggest that there’s also record numbers of foreign investors pouring money into the US stock market as well.
However, after the third week of March, we see the interest start to slowly decline and plateau, indicating that we probably have seen most of those new investors who wanted to have a long position in the market do so.
SPX daily
Rationale
Pretty much everything past this point is purely speculation, and isn’t really backed up by any solid data so take whatever I say here with a cup of salt. We could see from the graph that new investor interest started with the first bull trap we saw in the initial decline from early March, and peaking right after the end of the crash in March. So it would be fair to guess that we’re seeing a record amount of interest in the stock market from a “buy the dip” mentality, especially from Robinhood-using Millennials. Here’s a few points on my rationalization of this behavior, based on very weak anecdotal evidence
  • They missed out of their chance of getting in the stock market at the start of the bull market that happened at the end of 2009
  • They’ve all seen the stock market make record gains throughout their adult lives, but believing that the market might be overheated, they were waiting for a crash
  • Most of them have gotten towards the stage of their lives where they actually have some savings and can finally put some money aside for investments
  • This stock market crash seems like their once-in-a-decade opportunity that they’ve been waiting for, so everyone jumped in
  • Everyone’s stuck at their homes with vast amounts of unexpected free time on their hands
Most of these new investors got their first taste in the market near the bottom, and probably made some nice returns. Of course, since they didn’t know what they were doing, they probably put a very small amount of money at first, but after seeing a 10% return over one week, validating that maybe they do know something, they decide to slowly pour in more and more of their life savings. That’s what’s been fueling this bull market.
Sentiment & Magic Crayons
As I mentioned previously, this bull rally will keep going until enough bears convert to bulls. Markets go up when the amount of new bullish positions outnumber the amount of new bearish positions, and vice versa. Record amounts of new investors, who previously never held a position in the market before, fueled the bullish side of this equation, despite all the negative data that has come out and dislocating the price from fundamentals. All the smart money that was shorting the markets saw this happening, and flipped to become bulls because you don’t fight the trend, even if the trend doesn’t reflect reality.
From the data shown above, we can see new investor interest growth has started declining since mid March and started stagnating in early April. The declining volume in SPY since mid-March confirms this. That means, once the sentiment of the new retail investors starts to turn bearish, and everyone figures out how much the stocks they’re holding are really worth, another sell-off will begin. I’ve seen something very similar to this a few years ago with Bitcoin. Near the end of 2017, Bitcoin started to become mainstream and saw a flood of retail investors suddenly signing up for Coinbase (i.e. Robinhood) accounts and buying Bitcoin without actually understanding what it is and how it works. Suddenly everyone, from co-workers to grandparents, starts talking about Bitcoin and might have thrown a few thousand dollars into it. This appears to be a very similar parallel to what’s going on right now. Of course there’s differences here in that equities have an intrinsic value, although many of them have gone way above what they should be intrinsically worth, and the vast majority of retail investors don’t understand how to value companies. Then, during December, when people started thinking that the market was getting a bit overheated, some started taking their profits, and that’s when the prices crashed violently. This flip in sentiment now look like it has started with equities.
SPY daily
Technical Analysis, or magic crayons, is a discipline in finance that uses statistical analysis to predict market trends based on market sentiment. Of course, a lot of this is hand-wavy and is very subjective; two people doing TA on the same price history can end up getting opposite results, so TA should always be taken with a grain of salt and ideally be backed with underlying justification and not be blindly followed. In fact, I’ve since corrected the ascending wedge I had on SPY since my last post since this new wedge is a better fit for the new trading data.
There’s a few things going on in this chart. The entire bull rally we’ve had since the lows can be modelled using a rising wedge. This is a pattern where there is a convergence of a rising support and resistance trendline, along with falling volume. This indicates a slow decline in net bullish sentiment with investors, with smaller and smaller upside after each bounce off the support until it hits a resistance. The smaller the bounces, the less bullish investors are. When the bearish sentiment takes over across investors, the price breaks below this wedge - a breakdown, and indicates a start of another downtrend.
This happened when the wedge hit resistance at around 293, which is around the same price as the 200 day moving average, the 62% retracement (considered to be the upper bound of a bull trap), and a price level that acted as a support and resistance throughout 2019. The fact that it gapped down to break this wedge is also a strong signal, indicating a sudden swing in investor sentiment overnight. The volume of the break down also broke the downwards trend of volume we’ve had since the beginning of the bull rally, indicating a sudden surge of people selling their shares. This doesn’t necessarily mean that we will go straight from here, and I personally think that we will see the completion of a heads-and-shoulders pattern complete before SPY goes below 274, which in itself is a strong support level. In other words, SPY might go from 282 -> 274 -> 284 -> 274 before breaking the 274 support level.
VIX Daily
Doing TA is already sketchy, and doing TA on something like VIX is even more sketchy, but I found this interesting so I’ll mention it. Since the start of the bull rally, we’ve had VIX inside a descending channel. With the breakdown we had in SPY yesterday, VIX has also gapped up to have a breakout from this channel, indicating that we may see future volatility in the next week or so.
Putting Everything Together
Finally, we get to my thesis. This entire bull rally has been fueled by new retail investors buying the dip, bringing the stock price to euphoric levels. Over the past few weeks, we’ve been seeing the people waiting at the sidelines for years to get into the stock market slowly FOMO into the rally in smaller and smaller volumes, while the smart money have been locking in their profits at an even slower rate - hence an ascending wedge. As the amount of new retail interest in the stock market started slowed down, the amount of new bulls started to decline. It looks like Friday might have been the start of the bearish sentiment taking over, meaning it’s likely that 293 was the top, unless any significant bullish events happen in the next two weeks like a fourth round of stimulus, in which case we might see 300. This doesn’t mean we’ll instantly go back to circuit breakers on Monday, and we might see 282 -> 274 -> 284 -> 274 happen before panic, this time by the first-time investors, eventually bringing us down towards SPY 180.
tldr; we've reached the top
EDIT - I'll keep a my live thoughts here as we move throughout this week in case anyone's still reading this and interested.
5/4 8PM - /ES was red last night but steadily climbed, which was expected since 1h RSI was borderline oversold, leaving us to a slightly green day. /ES looks like it has momentum going up, but is approaching towards overbought territory now. Expecting it to go towards 284 (possibly where we'll open tomorrow) and bouncing back down from that price level
5/5 Market Open - Well there goes my price target. I guess at this point it might go up to 293 again, but will need a lot of momentum to push back there to 300. Seems like this is being driven by oil prices skyrocketing.
5/5 3:50PM - Volume for the upwards price action had very little volume behind it. Seeing a selloff EOD today, could go either way although I have a bearish bias. Going to hold cash until it goes towards one end of the 274-293 channel (see last week's thesis). Still believe that we will see it drop below 274 next week, but we might be moving sideways in the channel this week and a bit of next week before that happens. Plan for tomorrow is buy short dated puts if open < 285. Otherwise, wait till it goes to 293 before buying those puts
5/5 6PM - What we saw today could be a false breakout above 284. Need tomorrow to open below 285 for that to be confirmed. If so, my original thesis of it going back down to 274 before bouncing back up will still be in play.
5/6 EOD - Wasn't a false breakout. Looks like it's still forming the head-and-shoulders pattern mentioned before, but 288 instead of 284 as the level. Still not sure yet so I'm personally going to be holding cash and waiting this out for the next few days. Will enter into short positions if we either go near 293 again or drop below 270. Might look into VIX calls if VIX goes down near 30.
5/7 Market Open - Still waiting. If we break 289 we're probably heading to 293. I'll make my entry to short positions when we hit that a second time. There's very little bullish momentum left (see MACD 1D), so if we hit 293 and then drop back down, we'll have a MACD crossover event which many traders and algos use as a sell signal. Oil is doing some weird shit.
5/7 Noon - Looks like we're headed to 293. Picked up VIX 32.5c 5/27 since VIX is near 30.
5/7 11PM - /ES is hovering right above 2910, with 4h and 1h charts are bullish from MACD and 1h is almost overbought in RSI. Unless something dramatic happens we'll probably hit near 293 tomorrow, which is where I'll get some SPY puts. We might drop down before ever touching it, or go all the way to 295 (like last time) during the day, but expecting it to close at or below 293. After that I'm expecting a gap down Monday as we start the final leg down next week towards 274. Expecting 1D MACD to crossover in the final leg down, which will be a signal for bears to take over and institutions / day traders will start selling again
5/8 Market Open - Plan is to wait till a good entry today, either when technicals looks good or we hit 293, and then buy some SPY June 285p and July 275p
5/8 Noon - Everything still going according to plan. Most likely going to slowly inch towards 293 by EOD. Will probably pick up SPY puts and more VIX calls at power hour (3 - 4PM). Monday will probably gap down, although there's a small chance of one more green / sideways day before that happens if we have bullish catalysts on the weekend.
5/8 3:55PM - SPY at 292.60. This is probably going to be the closest we get to 293. Bought SPY 290-260 6/19 debit spreads and 292-272 5/15 debit spreads, as well as doubling down on VIX calls from yesterday, decreasing my cost basis. Still looks like there's room for one more green day on Monday, so I left some money on the side to double down if that's the case, although it's more likely than not we won't get there.
5/8 EOD - Looks like we barely touched 293 exactly AH before rebounding down. Too bad you can't buy options AH, but more convinced we'll see a gap down on Monday. Going to work on another post over the weekend and do my updates there. Have a great weekend everyone!
submitted by ASoftEngStudent to wallstreetbets [link] [comments]

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Bitcoin unsteadiness generally diminished since October 2019

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submitted by ascasnckjnaskjcn to u/ascasnckjnaskjcn [link] [comments]

COVID-19's Economic Impact in Canada: a collection of stats on jobs losses, investment returns, consumer confidence, interest rates, housing, and future forecasts

Over the past few weeks, the COVID crisis has hurt the Canadian economy and the average Canadian's financial situation in more ways than one.
I tried to tally up the damage by going through the info that's been published thus far (by Stats Can, the Bank of Canada, the Parliamentary Budget Officer, news sites, etc.), and have put together some visualizations and commentary on the data.
In summary:
Jobs
Investments (2020 year-to-date returns)
Consumer Confidence
Interest Rates
Housing
Post-COVID Economic Forecasts
On April 9th, Canada’s Parliamentary Budget Officer released a “scenario analysis” report on the potential impact of COVID-19 on the Canadian economy.
 
These points are addressed in chart form at the link above. You can download a spreadsheet which contains all of the source data / charts.
There's also a summary of the emergency response initiatives announced by the federal government (CERB, GST credit, CCB one-time payment, the 75% wage subsidy, etc.), and thoughts about steps that Canadians can take today to improve their financial situation.
I'll continue to update the page as new economic stats roll-in, and as the government announces new initiatives.
I'd love to hear your thoughts about COVID's economic impact in Canada. Also, please feel free to share any other stats, articles, or reports that you think are relevant!
 
Edit: typo.
submitted by getToTheChopin to PersonalFinanceCanada [link] [comments]

Lines of Navigation | Monthly Portfolio Update - July 202

Our little systems have their day;
They have their day and cease to be
- Tennyson, In Memoriam A.H.H.
This is my forty-fourth portfolio update. I complete this update monthly to check my progress against my goal.
Portfolio goal
My objective is to reach a portfolio of $2 180 000 by 1 July 2021. This would produce a real annual income of about $87 000 (in 2020 dollars).
This portfolio objective is based on an expected average real return of 3.99 per cent, or a nominal return of 6.49 per cent.
Portfolio summary
Total portfolio value: $1 800 119 (+$34 376 or 1.9%)
Asset allocation
Presented visually, below is a high-level view of the current asset allocation of the portfolio.
[Chart]
Comments
The portfolio has substantially increased this month, continuing the recovery in portfolio value since March.
The strong portfolio growth of over $34 000, or 1.9 per cent, returns the value of the portfolio close to that achieved at the end of February this year.
[Chart]
This month there was minimal movement in the value of Australian and global equity holdings, There was, however, a significant lift of around 6 per cent in the value of gold exchange traded fund units, as well as a rise in the value of Bitcoin holdings.
These movements have pushed the value of gold holdings to their highest level so far on the entire journey. Their total value has approximately doubled since the original major purchases across 2009 to 2015.
For most of the past year gold has functioned as a portfolio stabiliser, having a negative correlation to movements in Australian equities (of around -0.3 to -0.4). As low and negative bond rates spread across the world, however, the opportunity cost of holding gold is reduced, and its potential diversification benefits loom larger.
The fixed income holdings of the portfolio also continued to fall beneath the target allocation, making this question of what represents a defensive (or negatively correlated to equity) asset far from academic.
This steady fall is a function of the slow maturing of Ratesetter loans, which were largely made between 2015 and 2017. Ratesetter has recently advised of important changes to its market operation, and placed a fixed maximum cap on new loan rates. By replacing market set rates with maximum rates, the peer-to-peer lending platform appears to be shifting to more of a 'intermediated' role in which higher past returns (of around 8 to 9 per cent) will now no longer be possible.
[Chart]
The expanding value of gold and Bitcoin holdings since January last year have actually had the practical effect of driving new investments into equities, since effectively for each dollar of appreciation, for example, my target allocation to equities rises by seven dollars.
Consistent with this, investments this month have been in the Vanguard international shares exchange-traded fund (VGS) using Selfwealth. This has been directed to bring my actual asset allocation more closely in line with the target split between Australian and global shares.
Fathoming out: franking credits and portfolio distributions
Earlier last month I released a summary of portfolio income over the past half year. This, like all before it, noted that the summary was prepared on a purely 'cash' basis, reflecting dividends actually paid into a bank account, and excluding consideration of franking credits.
Franking credits are credits for company tax paid at the company level, which can be passed to individual shareholders, reducing their personal tax liability. They are not cash, but for a personal investor with tax liabilities they can have equivalent value. This means that comparing equity returns to other investments without factoring these credits can produce a distorted picture of an investor's final after-tax return.
In past portfolio summaries I have noted an estimate for franking credits in footnotes, but updating the value for this recently resulted in a curiosity about the overall significance of this neglected element of my equity returns.
This neglect resulted from my perception earlier in the journey that they represented a marginal and abstract factor, which could effectively be assumed away for the sake of simplicity in reporting.
This is not a wholly unfair view, in the sense that income physically received and able to be spent is something definably different in kind than a notional 'pre-payment' credit for future tax costs. Yet, as the saying goes, because the prospect of personal tax is as certain as extinction from this world, in some senses a credit of this kind can be as valuable as a cash distribution.
Restoring the record: trends and drivers of franking credits
To collect a more accurate picture of the trends and drivers of franking credits I relied on a few sources - tax statements, records and the automatic franking credit estimates that the portfolio tracking site Sharesight generates.
The chart below sets out both the level and major different sources of franking credits received over the past eleven years.
[Chart]
From this chart some observations can be made.
The key reason for the rapid growth over the recent decade has been the increased investment holdings in Australian equities. As part of the deliberate rebalancing towards Australian shares across the past two years, these holdings have expanded.
The chart below sets out the total value of Australian shares held over the comparable period.
[Chart]
As an example, at the beginning of this record Australian equities valued at around $276 000 were held. Three years later, the holding were nearly three times larger.
The phase of consistently increasing the Australian equities holding to meet its allocated weighting is largely complete. This means that the period of rapid growth seen in the past few years is unlikely to repeat. Rather, growth will revert to be in proportion to total portfolio growth.
Close to cross-over: the credit card records
One of the most powerful initial motivators to reach financial independence was the concept of the 'cross over' point in Vicki Robins and Joe Dominguez's Your Money or Your Life. This was the point at which monthly expenses are exceeded by investment income.
One of the metrics I have traced is this 'cross-over' point in relation to recorded credit card expenses. And this point is now close indeed.
Expenditures on the credit card have continued their downward trajectory across the past month. The three year rolling average of monthly credit card spending remains at its lowest point over the period of the journey. Distributions on the same basis now meet over 99 per cent of card expenses - with the gap now the equivalent of less than $50 per month.
[Chart]
The period since April of the achievement of a notional and contingent form of financial independence has continued.
The below chart illustrates this temporary state, setting out the the extent to which to which portfolio distributions (red) cover estimated total expenses (green), measured month to month.
[Chart]
An alternative way to view the same data is to examine the degree to which total expenses (i.e. fixed payments not made on credit card added to monthly credit card expenses) are met by distributions received.
An updated version of this is seen in the chart below.
[Chart]
Interestingly, on a trend basis, this currently identifies a 'crossing over' point of trend distributions fully meeting total expenditure from around November 2019. This is not conclusive, however, as the trend curve is sensitive to the unusual COVID-19 related observations of the first half of this year, and could easily shift further downward if normal expense patterns resume.
One issue this analysis raises is what to do with the 'credit card purchases' measure reported below. This measure is designed to provide a stylised benchmark of how close the current portfolio is to a target of generating the income required to meet an annual average credit card expenditure of $71 000.
The problem with this is that continued falling credit card spending means that average credit card spending is lower than that benchmark for all time horizons - measured as three and four year averages, or in fact taken as a whole since 2013. So the set benchmark may, if anything, be understating actual progress compared the graphs and data above by not reflecting changing spending levels.
In the past I have addressed this trend by reducing the benchmark. Over coming months, or perhaps at the end of the year, I will need to revisit both the meaning, and method, of setting this measure.
Progress
Progress against the objective, and the additional measures I have reached is set out below.
Measure Portfolio All Assets
Portfolio objective – $2 180 000 (or $87 000 pa) 82.6% 111.5%
Credit card purchases – $71 000 pa 100.7% 136.0%
Total expenses – $89 000 pa 80.7% 109.0%
Summary
One of the most challenging aspects of closing in on a fixed numerical target for financial independence with risk assets still in place is that the updrafts and downdrafts of market movements can push the goal further away, or surprisingly close.
There have been long period of the journey where the total value of portfolio has barely grown, despite regular investments being made. As an example, the portfolio ended 2018 lower than it started the year. The past six months have been another such period. This can create a sense of treading water.
Yet amidst the economic devastation affecting real lives and businesses, this is an extremely fortunate position to be in. Australia and the globe are set to experience an economic contraction far more severe than the Global Financial Crisis, with a lesser capacity than previously for interest rates to cushion the impact. Despite similar measures being adopted by governments to address the downturn, it is not clear whether these are fit for purpose.
Asset allocation in this environment - of being almost suspended between two realities - is a difficult problem. The history of markets can tell us that just when assets seem most 'broken', they can produce outsized returns. Yet the problem remains that far from being surrounded by broken markets, the proliferation appears to be in bubble-like conditions.
This recent podcast discussion with the founder of Grant's Interest Rate Observer provided a useful historical context to current financial conditions this month. One of the themes of the conversation was 'thinking the unthinkable', such as a return of inflation. Similar, this Hoover Institute video discussion, with a 'Back from the future' premise, provides some entertaining, informed and insightful views on the surprising and contingent nature of what we know to be true.
Some of our little systems may well have had their day, but what could replace them remains obscured to any observer.
The post, links and full charts can be seen here.
submitted by thefiexpl to fiaustralia [link] [comments]

LOEx Market Research Report on September 30: BTC rebound continued to maintain the original shock space trend

LOEx Market Research Report on September 30: BTC rebound continued to maintain the original shock space trend
1、 [Venezuela is studying the feasibility of increasing the use of cryptocurrency in trade]
According to the Russian satellite news agency on September 30, Venezuelan President Nicolas Maduro said the country is studying the feasibility of increasing the use of cryptocurrency in trade in addition to petrodollars, which may include both private and state tools.
2、 [Ethereum 2.0 test network zinken will be launched on October 5]
In the morning of September 30, bitfly (the parent company of ethermine mine pool) officially forwarded a tweet from Daniel Ryan, the project leader of Ethereum 2.0, and said that there would be another Ethereum 2.0 test network zinken. Zinken test network will be launched on October 5. According to the news in the morning today, Daniel Ryan, the project leader of Ethereum 2.0, tweeted that in order to deal with the problems related to the launch of the Ethereum 2.0 test network, before the founding of Ethereum 2.0, the official will have at least another zinken rehearsal.
3、 [bitcoin fund of 3iq is listed on the gibraltarian stock exchange]
According to finance magnates on September 30, bitcoin fund of 3iq, a Canadian investment fund management company, has been listed on the gibraltarian stock exchange in an attempt to expand its investor market. Prior to the news in April, the bitcoin fund applied by 3iq fund had been listed on the Toronto Stock Exchange.
[Today's market analysis]
Bitcoin (BTC)
BTC fell to 10636.9 usdt in the morning, and then continued to fluctuate upward. The short-term short-term rise of BTC has just broken through 10850 usdt. The main currency followed the trend of the market and rebounded after falling in the early morning, and just rose slightly. BTC was reported at LOEX international station at 17854.6 usdt, up 0.56% in 24h.
Bitcoin faces an upward continuation of $10800 as a short-term breakthrough; the 2-hour chart shows an obvious downward trend structure. Bitcoin has been at a low high since $12400. The lower highs continued this structure until recently rejecting $11000.
This was followed by a relatively good performance of bullish deviation, with the market rebounding from its recent low of $10200. The rebound can not exceed $11000 region, and formed a range of concussion structure.
However, for any upward continuation, the key breakthrough is $10800. If bitcoin breaks through this order range, it may continue to move towards a huge resistance level of $11200-11400.
The failed breakouts were in the $10800 and potential reversals as well as the $10200 area of testing.
Don't chase up the price, even if it's good or bad, buy it when it falls, sell it when it rises sharply, and no one can cut it. It is suggested that you should only do the big drop after 11100. The rise in the middle has nothing to do with you. Avoid cutting meat repeatedly
Operation suggestions:
Support position: 10800 points in the first support position and 10500 points in the second support position;
Resistance level: 11000 points in the first resistance level and 11500 points in the second resistance level.
LOEx is registered in Seychelles. It is a global one-stop digital asset service platform with business distribution nodes in 20 regions around the world. It has been exempted from Seychelles and Singapore Monetary Authority (MAS) digital currency trading services. Provide services and secure encrypted digital currency trading environment for 2 million community members in 24 hours.
https://preview.redd.it/w3561vcgd7q51.jpg?width=554&format=pjpg&auto=webp&s=6c532c221cd7550cbdce8bf452e7cd8297aed7d3
submitted by LOEXCHANGE to loex [link] [comments]

A Closer Look at Ripple's Distribution of XRP

I consider myself to be an informed member of the XRP community. I have a Twitter feed of all the prominent personalities/researchers to keep tabs on the news. I watch the metrics on utility-scan.com daily and even wrote a calculator to help understand what ODL is doing over time. I regularly check in on global metrics like volume, wallet openings, and the distribution of XRP within wallets.
Up until recently, if you asked me to explain how XRP is distributed out to the public, I would point you to two resources. The first is an article on XRPArcade explaining how Jed McCaleb's XRP sales are structured (not the topic of this post). The other place would be the XRP Markets Reports provided quarterly by Ripple. There you would understand that for the past year Ripple has increasingly slowed the sales of XRP and only is selling in small amounts to facilitate liquidity in markets. Based on this data, I've seen discussions on /cryptocurrency and elsewhere claiming that XRP's inflation rate is lower than Bitcoins and is near 0. Based on publicly provided data I've realized that this is not the case. XRP's distribution rate is very different than the impression painted by the XRP Markets Reports.
TLDR; Ripple is trying to paint a narrative that very little XRP is entering the market. In reality sales of XRP are very low, but XRP entering circulation remains much higher from an inflationary perspective and that rate has remained relatively unchanged from 2016 onward.
Before I dive into the data, I'd like to take a brief pause and state that in no way am I writing this to be FUD. Clear and accurate data is extremely important to me. Much of the recent community conversation has revolved around hopium and dot connecting that is unverified. It's a public ledger, but most people don't take the time to track the numbers. I'm hoping to shed more light on these important factors since there is no doubt that XRP's rate of distribution can effect the price. Ok, soapbox over.
I first was clued in that something was off while listening to a SamIAm video here. Basically Sam is calling out Ripple over their Q1 Markets Report because they didn't mention around $18 million of XRP paid to MoneyGram. Now technically this isn't a sale of XRP, but it's convenient to leave out and we would only know that this was happening because the SEC forced MoneyGram to report it on their Quarterly Investor Report.
Next I was scratching my head over a data discrepancy. Tether flipped XRP on LiveCoinWatch weeks before the other tracking sites like CoinGecko and CoinMarketCap. Upon closer inspection I realized that all these sites retrieve the XRP circulating supply from a single API call and LiveCoinWatch had coded their site incorrectly. They were pulling the XRP numbers from last year.
The API is here and anyone can checkout the data: https://data.ripple.com/v2/network/xrp_distribution. I believe that there is a companion private API Ripple uses to power their pie chart here: https://ripple.com/xrp/market-performance. Notice that the market performance (at the time of this posting) is for May 17th while the public API only goes to April. I don't know why Ripple hasn't updated the public API in a month. Since the public API has a history of postings you can go back and track the "distributed" tag all the way back to the middle of 2016. Here's what I found.
XRP Released into Circulation Yearly Inflationary Rate
2016 (starts mid year) 1,229,851,071 3.5%
2017 2,667,133,033 7.34%
2018 2,035,094,018 5.22%
2019 2,325,833,516 5.67%
2020 (May 1st) 773,689,933 1.78%
2020 End (at current rate) 2,321,069,799 5.35%
The 2016 data starts halfway through the year, so you can make an educated backfill guess for that year's number as well. Ripple has been distributing between 2 and 2.6 billion XRP a year with 2017 being a the high watermark. Interestingly the number distributed in 2019 is not that much different in spite of Ripple touting significantly reduced sales for almost the whole year.
So lets talk about the term "XRP Distributed" versus "XRP Sales" obviously Ripple is providing the data for both stats, but they only talk about sales in the markets reports. Distribution is a much wider term. It can include things like "Business Development" like MoneyGram discussed above. It could be compensation incentives given to Ripple employees. Xpring is known to fund investments using XRP. All of these items aren't reported because they are not sales. Even with some generous guesses to the above categories, I have no idea what Ripple is really doing with the XRP in 2020 if they're not selling it. Even factoring in about 90 million XRP given to MoneyGram, there's still a significant amount distributed and I would love some opinions on what they think Ripple is doing with this XRP.
Some takeaways for me:
submitted by RetirePerspired to Ripple [link] [comments]

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

Author: Christian Hsieh, CEO of Tokenomy
This paper examines some explanations for the continual global market demand for the U.S. dollar, the rise of stablecoins, and the utility and opportunities that crypto dollars can offer to both the cryptocurrency and traditional markets.
The U.S. dollar, dominant in world trade since the establishment of the 1944 Bretton Woods System, is unequivocally the world’s most demanded reserve currency. Today, more than 61% of foreign bank reserves and nearly 40% of the entire world’s debt is denominated in U.S. dollars1.
However, there is a massive supply and demand imbalance in the U.S. dollar market. On the supply side, central banks throughout the world have implemented more than a decade-long accommodative monetary policy since the 2008 global financial crisis. The COVID-19 pandemic further exacerbated the need for central banks to provide necessary liquidity and keep staggering economies moving. While the Federal Reserve leads the effort of “money printing” and stimulus programs, the current money supply still cannot meet the constant high demand for the U.S. dollar2. Let us review some of the reasons for this constant dollar demand from a few economic fundamentals.

Demand for U.S. Dollars

Firstly, most of the world’s trade is denominated in U.S. dollars. Chief Economist of the IMF, Gita Gopinath, has compiled data reflecting that the U.S. dollar’s share of invoicing was 4.7 times larger than America’s share of the value of imports, and 3.1 times its share of world exports3. The U.S. dollar is the dominant “invoicing currency” in most developing countries4.

https://preview.redd.it/d4xalwdyz8p51.png?width=535&format=png&auto=webp&s=9f0556c6aa6b29016c9b135f3279e8337dfee2a6

https://preview.redd.it/wucg40kzz8p51.png?width=653&format=png&auto=webp&s=71257fec29b43e0fc0df1bf04363717e3b52478f
This U.S. dollar preference also directly impacts the world’s debt. According to the Bank of International Settlements, there is over $67 trillion in U.S. dollar denominated debt globally, and borrowing outside of the U.S. accounted for $12.5 trillion in Q1 20205. There is an immense demand for U.S. dollars every year just to service these dollar debts. The annual U.S. dollar buying demand is easily over $1 trillion assuming the borrowing cost is at 1.5% (1 year LIBOR + 1%) per year, a conservative estimate.

https://preview.redd.it/6956j6f109p51.png?width=487&format=png&auto=webp&s=ccea257a4e9524c11df25737cac961308b542b69
Secondly, since the U.S. has a much stronger economy compared to its global peers, a higher return on investments draws U.S. dollar demand from everywhere in the world, to invest in companies both in the public and private markets. The U.S. hosts the largest stock markets in the world with more than $33 trillion in public market capitalization (combined both NYSE and NASDAQ)6. For the private market, North America’s total share is well over 60% of the $6.5 trillion global assets under management across private equity, real assets, and private debt investments7. The demand for higher quality investments extends to the fixed income market as well. As countries like Japan and Switzerland currently have negative-yielding interest rates8, fixed income investors’ quest for yield in the developed economies leads them back to the U.S. debt market. As of July 2020, there are $15 trillion worth of negative-yielding debt securities globally (see chart). In comparison, the positive, low-yielding U.S. debt remains a sound fixed income strategy for conservative investors in uncertain market conditions.

Source: Bloomberg
Last, but not least, there are many developing economies experiencing failing monetary policies, where hyperinflation has become a real national disaster. A classic example is Venezuela, where the currency Bolivar became practically worthless as the inflation rate skyrocketed to 10,000,000% in 20199. The recent Beirut port explosion in Lebanon caused a sudden economic meltdown and compounded its already troubled financial market, where inflation has soared to over 112% year on year10. For citizens living in unstable regions such as these, the only reliable store of value is the U.S. dollar. According to the Chainalysis 2020 Geography of Cryptocurrency Report, Venezuela has become one of the most active cryptocurrency trading countries11. The demand for cryptocurrency surges as a flight to safety mentality drives Venezuelans to acquire U.S. dollars to preserve savings that they might otherwise lose. The growth for cryptocurrency activities in those regions is fueled by these desperate citizens using cryptocurrencies as rails to access the U.S. dollar, on top of acquiring actual Bitcoin or other underlying crypto assets.

The Rise of Crypto Dollars

Due to the highly volatile nature of cryptocurrencies, USD stablecoin, a crypto-powered blockchain token that pegs its value to the U.S. dollar, was introduced to provide stable dollar exposure in the crypto trading sphere. Tether is the first of its kind. Issued in 2014 on the bitcoin blockchain (Omni layer protocol), under the token symbol USDT, it attempts to provide crypto traders with a stable settlement currency while they trade in and out of various crypto assets. The reason behind the stablecoin creation was to address the inefficient and burdensome aspects of having to move fiat U.S. dollars between the legacy banking system and crypto exchanges. Because one USDT is theoretically backed by one U.S. dollar, traders can use USDT to trade and settle to fiat dollars. It was not until 2017 that the majority of traders seemed to realize Tether’s intended utility and started using it widely. As of April 2019, USDT trading volume started exceeding the trading volume of bitcoina12, and it now dominates the crypto trading sphere with over $50 billion average daily trading volume13.

https://preview.redd.it/3vq7v1jg09p51.png?width=700&format=png&auto=webp&s=46f11b5f5245a8c335ccc60432873e9bad2eb1e1
An interesting aspect of USDT is that although the claimed 1:1 backing with U.S. dollar collateral is in question, and the Tether company is in reality running fractional reserves through a loose offshore corporate structure, Tether’s trading volume and adoption continues to grow rapidly14. Perhaps in comparison to fiat U.S. dollars, which is not really backed by anything, Tether still has cash equivalents in reserves and crypto traders favor its liquidity and convenience over its lack of legitimacy. For those who are concerned about Tether’s solvency, they can now purchase credit default swaps for downside protection15. On the other hand, USDC, the more compliant contender, takes a distant second spot with total coin circulation of $1.8 billion, versus USDT at $14.5 billion (at the time of publication). It is still too early to tell who is the ultimate leader in the stablecoin arena, as more and more stablecoins are launching to offer various functions and supporting mechanisms. There are three main categories of stablecoin: fiat-backed, crypto-collateralized, and non-collateralized algorithm based stablecoins. Most of these are still at an experimental phase, and readers can learn more about them here. With the continuous innovation of stablecoin development, the utility stablecoins provide in the overall crypto market will become more apparent.

Institutional Developments

In addition to trade settlement, stablecoins can be applied in many other areas. Cross-border payments and remittances is an inefficient market that desperately needs innovation. In 2020, the average cost of sending money across the world is around 7%16, and it takes days to settle. The World Bank aims to reduce remittance fees to 3% by 2030. With the implementation of blockchain technology, this cost could be further reduced close to zero.
J.P. Morgan, the largest bank in the U.S., has created an Interbank Information Network (IIN) with 416 global Institutions to transform the speed of payment flows through its own JPM Coin, another type of crypto dollar17. Although people argue that JPM Coin is not considered a cryptocurrency as it cannot trade openly on a public blockchain, it is by far the largest scale experiment with all the institutional participants trading within the “permissioned” blockchain. It might be more accurate to refer to it as the use of distributed ledger technology (DLT) instead of “blockchain” in this context. Nevertheless, we should keep in mind that as J.P. Morgan currently moves $6 trillion U.S. dollars per day18, the scale of this experiment would create a considerable impact in the international payment and remittance market if it were successful. Potentially the day will come when regulated crypto exchanges become participants of IIN, and the link between public and private crypto assets can be instantly connected, unlocking greater possibilities in blockchain applications.
Many central banks are also in talks about developing their own central bank digital currency (CBDC). Although this idea was not new, the discussion was brought to the forefront due to Facebook’s aggressive Libra project announcement in June 2019 and the public attention that followed. As of July 2020, at least 36 central banks have published some sort of CBDC framework. While each nation has a slightly different motivation behind its currency digitization initiative, ranging from payment safety, transaction efficiency, easy monetary implementation, or financial inclusion, these central banks are committed to deploying a new digital payment infrastructure. When it comes to the technical architectures, research from BIS indicates that most of the current proofs-of-concept tend to be based upon distributed ledger technology (permissioned blockchain)19.

https://preview.redd.it/lgb1f2rw19p51.png?width=700&format=png&auto=webp&s=040bb0deed0499df6bf08a072fd7c4a442a826a0
These institutional experiments are laying an essential foundation for an improved global payment infrastructure, where instant and frictionless cross-border settlements can take place with minimal costs. Of course, the interoperability of private DLT tokens and public blockchain stablecoins has yet to be explored, but the innovation with both public and private blockchain efforts could eventually merge. This was highlighted recently by the Governor of the Bank of England who stated that “stablecoins and CBDC could sit alongside each other20”. One thing for certain is that crypto dollars (or other fiat-linked digital currencies) are going to play a significant role in our future economy.

Future Opportunities

There is never a dull moment in the crypto sector. The industry narratives constantly shift as innovation continues to evolve. Twelve years since its inception, Bitcoin has evolved from an abstract subject to a familiar concept. Its role as a secured, scarce, decentralized digital store of value has continued to gain acceptance, and it is well on its way to becoming an investable asset class as a portfolio hedge against asset price inflation and fiat currency depreciation. Stablecoins have proven to be useful as proxy dollars in the crypto world, similar to how dollars are essential in the traditional world. It is only a matter of time before stablecoins or private digital tokens dominate the cross-border payments and global remittances industry.
There are no shortages of hypes and experiments that draw new participants into the crypto space, such as smart contracts, new blockchains, ICOs, tokenization of things, or the most recent trends on DeFi tokens. These projects highlight the possibilities for a much more robust digital future, but the market also needs time to test and adopt. A reliable digital payment infrastructure must be built first in order to allow these experiments to flourish.
In this paper we examined the historical background and economic reasons for the U.S. dollar’s dominance in the world, and the probable conclusion is that the demand for U.S. dollars will likely continue, especially in the middle of a global pandemic, accompanied by a worldwide economic slowdown. The current monetary system is far from perfect, but there are no better alternatives for replacement at least in the near term. Incremental improvements are being made in both the public and private sectors, and stablecoins have a definite role to play in both the traditional and the new crypto world.
Thank you.

Reference:
[1] How the US dollar became the world’s reserve currency, Investopedia
[2] The dollar is in high demand, prone to dangerous appreciation, The Economist
[3] Dollar dominance in trade and finance, Gita Gopinath
[4] Global trades dependence on dollars, The Economist & IMF working papers
[5] Total credit to non-bank borrowers by currency of denomination, BIS
[6] Biggest stock exchanges in the world, Business Insider
[7] McKinsey Global Private Market Review 2020, McKinsey & Company
[8] Central banks current interest rates, Global Rates
[9] Venezuela hyperinflation hits 10 million percent, CNBC
[10] Lebanon inflation crisis, Reuters
[11] Venezuela cryptocurrency market, Chainalysis
[12] The most used cryptocurrency isn’t Bitcoin, Bloomberg
[13] Trading volume of all crypto assets, coinmarketcap.com
[14] Tether US dollar peg is no longer credible, Forbes
[15] New crypto derivatives let you bet on (or against) Tether’s solvency, Coindesk
[16] Remittance Price Worldwide, The World Bank
[17] Interbank Information Network, J.P. Morgan
[18] Jamie Dimon interview, CBS News
[19] Rise of the central bank digital currency, BIS
[20] Speech by Andrew Bailey, 3 September 2020, Bank of England
submitted by Tokenomy to tokenomyofficial [link] [comments]

One Year Update: 38M FIREd

Well, February 22nd makes it one whole year. I think that's deserving of a top level post, right?
Here are screenshots of the Mint Trends, which has every single expense from the past year categorized. I've added comments on each page.
Expenses Overview
Auto Expenses
Food Expenses
Home Expenses
Utility Expenses
Tax Expenses
Healthcare Expenses
Entertainment Expenses
Main takeaways, my total expenses for the year was $37,700, but I'm going to dismiss about $15,000 of that as "one time" expenses from paying off my car and my furniture loan. A more reasonable number for my annual spend is $22,700.
With my car payment gone, my highest expense category is Food, averaging $500 per month. This has room for improvement.
Healthcare will look artificially low last year because of taking Tax Credits up front. This year I am not and will be paying $325 per month for health insurance. At ~$4000 per year, this puts healthcare at nearly 20% of my total expenses.
Nothing else is particularly interesting. That $22,700 figure is a reasonable real-world number for me, but for future planning I'd still inflate that to $25,000 just to have more wiggle room. I may look into traveling this year, which would add some expense.
Investments:
Vanguard Investments: (All in VTSAX)
Other LTCG holdings: $145,000 -> $291,000 (other investment accounts and bitcoin)
HSA Investment Account: $6000 -> $7400, with another $1700 in the "cash" holdings of the HSA.
$9000 cash in Money Market & Checking Account.
Finances Going Forward
I had earned income last year so I didn't start my Roth Conversion Ladder last year. This year I decided I will be converting the $12,400 standard deduction + $9600 of the first tax bracket for a nice round $22,000 converted. Yes I'll owe a little bit of taxes, but it sets up my Roth with $22k in 5 years which should cover the majority of my expenses. And with $350k currently in tIRA and converting $22,000 per year, I won't be able to chew through it all before actual retirement age.
I have about $20k from an old stock purchase plan that unlocks come April, which I will be selling and likely moving over to my money market account to shore up my "cash" holdings.
My plan is to not really tap any of my "normal" investment accounts for as long as possible. I've been deferring to selling Bitcoin if I need to move some cash over. Last year I sold 3 bitcoin, one for $9300 in June, and then two at the end of December (for tax year Capital Gains reasons) for $7300 each. These were all LTCG at 0% taxed. AGI for last year is around $35,000.
The Living Part:
There's all the boring expenses and financial stuff. Now for the ever painful question that my beloved Grandmother loves to ask, "But gosh, what do you do with all of your time! I can't imagine being retired at your age!"
Step 1, restful sleep. During my working career I lived off 6 hours of sleep every day. It made for exhausting weekends trying to "make it up." And luckily I'm not a generally stressful person or else it'd have been worse. But now I go to bed when I'm tired, and whenever I naturally wake up, I get up. This can lead to VERY weird hours since I'm often an extreme night owl. But I generally get 9-10 perfect restful uninterrupted dream-filled hours of sleep.
I'm betrayed by my "Food Expense" breakdown, but I really am cooking more and eating better. I drink a lot of coffee and water at home and generally try to eat only one meal per day, but sometimes lunch and dinner. I don't normally eat breakfast, just have coffee when I wake up. And did I mention how much less painful it is to go grocery shopping when it's in the middle of the day and everyone's at work. It's so nice.
I spend a lot of time on reddit browsing my front page, and I check out the YouTubers I follow that post daily, then check out any of the irregular posters. Depending on how much good stuff there is, this could go on for a few hours.
I have a lot of hours playing video games. I tend toward puzzle games or building games (Factorio, Satisfactory) because they scratch that itch in my engineering brain. There are times at night where I'll spend hours on this website: https://www.puzzle-sudoku.com/ and play Sudoku or Nonograms or any of the other puzzle types on the bottom of the page.
I'm doing my best to watch every single last show on Netflix. It's a daunting task, though it's surprising how often I drift back toward watching the same smattering of Star Trek: The Next Generation episodes rather than try something new. But I try and take recommendations and work my way through shows.
And Podcasts! The joy of joys is when I come across a new-to-me podcast that has a huge backlog. I found a great ST:TNG rewatch podcast that had 108 episodes already done. I spent like 2 months watching the episode of TNG then immediately listening to their podcast about that episode, repeat repeat repeat. I'm currently working my way through The Adventure Zone, I'm on episode 46 of 155 with them. And they keep advertising the other podcasts The McElroys do so I'm sure I'll roll into one of those next. For many people podcasts are background noise, but I'll often just sit on the couch and concentrate on just listening the podcast.
Outside of home, I can't wait for the weather to get nicer so I can go on more walks. Being a night owl I like going for walks at night. I live near our city center so I'm within blocks of city hall, the main library branch, and the fountain / park.
I jump at any opportunity to hang out with friends. It's just about every weekend that we are getting together to hang out and play board games. Like I mentioned in one of the breakdowns, I've started to play D&D with my buddy and his wife. I'd never played before but he's been DMing for years (but hasn't had a group for 10+ years now). He's glad to be playing again, his wife loves it, and it's super convenient for them to stay home with the 5 month old daughter. (And baby gets to hang out with Uncle Oracle.)
I get together with former co-workers every few months to keep in touch with them. One in particular I have a standing every-2-month bar date with. I remind them every so often that if they want to go out to lunch ever to just call me.
Personal History
Just a quick personal history in closing. I was an automotive engineer working for OEMs and Tier 1 suppliers in the Metro Detroit area. In the 2008 downturn I lost my job and was unemployed for 2 years and ended up getting my house foreclosed in 2010. By the time i got a job in March of 2010 I was basically at $0. I had a tiny amount in an 401k, had about $20,000 in credit card debt from being unemployed.
But then I got a very well paying engineering job ($108k annual and eligible for time-and-half overtime). I kept living like I was unemployed, spent as little as possible and saved as much as possible. Through my parents I secured a mortgage on a nice 1 Bed / 1 Bath 900 sq ft condo. I paid off my CC debt in less than a year and kept banking cash and maxing my 401k every year.
I heard about bitcoin in early 2013 (from a guildmate in World of Warcraft, believe it or not) and jumped on board. All time bitcoin price chart (log scale) for those unfamiliar with the history. I got in before the first spike to $1000 in December of 2013, and kept buying throughout the downswing in 2014 / 2015. In 2017 I sold 5.6 BTC for a total of $6000 and paid off the last of my student loans and my car, then a few months later I sold 4.25 BTC for $6700 and paid off the last of my condo mortgage. So in May of 2017 I was officially debt free and had a net worth of about $200,000.
Then in the fall of 2017 was when bitcoin exploded. I knew I had to take profits here. Every time the price went up 10% I sold another bitcoin. $7500, $9000, $10700, $13000, $15500, $18600. I sold all the way up. I ended up selling about $100,000 in bitcoin that year and I pushed most of it into my Roth IRA and Brokerage accounts.
Then I really started thinking about FIRE in early 2018. Started doing the math, tried to see what my expenses would be, and thought I'd give it ago. I've told myself from day 1 that I'd give this trial a solid 2 years. If I don't feel good about it, or the money doesn't seem right, then I'll still only be 40 years old and could (IMO) easily jump right back into an engineering gig. So I targeted early 2019 so I could frontload my 401k for two months, grab the annual bonus, then peace out.
TL:DR: 38, FIREd, Money's looking right, Life is feeling right, everything is fine
submitted by Oracle_of_FIRE to financialindependence [link] [comments]

Testing the Tide | Monthly FIRE Portfolio Update - June 2020

We would rather be ruined than changed.
-W H Auden, The Age of Anxiety
This is my forty-third portfolio update. I complete this update monthly to check my progress against my goal.
Portfolio goal
My objective is to reach a portfolio of $2 180 000 by 1 July 2021. This would produce a real annual income of about $87 000 (in 2020 dollars).
This portfolio objective is based on an expected average real return of 3.99 per cent, or a nominal return of 6.49 per cent.
Portfolio summary
Vanguard Lifestrategy High Growth Fund – $726 306
Vanguard Lifestrategy Growth Fund – $42 118
Vanguard Lifestrategy Balanced Fund – $78 730
Vanguard Diversified Bonds Fund – $111 691
Vanguard Australian Shares ETF (VAS) – $201 745
Vanguard International Shares ETF (VGS) – $39 357
Betashares Australia 200 ETF (A200) – $231 269
Telstra shares (TLS) – $1 668
Insurance Australia Group shares (IAG) – $7 310
NIB Holdings shares (NHF) – $5 532
Gold ETF (GOLD.ASX) – $117 757
Secured physical gold – $18 913
Ratesetter (P2P lending) – $10 479
Bitcoin – $148 990
Raiz app (Aggressive portfolio) – $16 841
Spaceship Voyager app (Index portfolio) – $2 553
BrickX (P2P rental real estate) – $4 484
Total portfolio value: $1 765 743 (+$8 485 or 0.5%)
Asset allocation
Australian shares – 42.2% (2.8% under)
Global shares – 22.0%
Emerging markets shares – 2.3%
International small companies – 3.0%
Total international shares – 27.3% (2.7% under)
Total shares – 69.5% (5.5% under)
Total property securities – 0.3% (0.3% over)
Australian bonds – 4.7%
International bonds – 9.4%
Total bonds – 14.0% (1.0% under)
Gold – 7.7%
Bitcoin – 8.4%
Gold and alternatives – 16.2% (6.2% over)
Presented visually, below is a high-level view of the current asset allocation of the portfolio.
[Chart]
Comments
The overall portfolio increased slightly over the month. This has continued to move the portfolio beyond the lows seen in late March.
The modest portfolio growth of $8 000, or 0.5 per cent, maintains its value at around that achieved at the beginning of the year.
[Chart]
The limited growth this month largely reflects an increase in the value of my current equity holdings, in VAS and A200 and the Vanguard retail funds. This has outweighed a small decline in the value of Bitcoin and global shares. The value of the bond holdings also increased modestly, pushing them to their highest value since around early 2017.
[Chart]
There still appears to be an air of unreality around recent asset price increases and the broader economic context. Britain's Bank of England has on some indicators shown that the aftermath of the pandemic and lockdown represent the most challenging financial crisis in around 300 years. What is clear is that investor perceptions and fear around the coronavirus pandemic are a substantial ongoing force driving volatility in equity markets (pdf).
A somewhat optimistic view is provided here that the recovery could look more like the recovery from a natural disaster, rather than a traditional recession. Yet there are few certainties on offer. Negative oil prices, and effective offers by US equity investors to bail out Hertz creditors at no cost appear to be signs of a financial system under significant strains.
As this Reserve Bank article highlights, while some Australian households are well-placed to weather the storm ahead, the timing and severity of what lays ahead is an important unknown that will itself feed into changes in household wealth from here.
Investments this month have been exclusively in the Australian shares exchange-traded fund (VAS) using Selfwealth.* This has been to bring my actual asset allocation more closely in line with the target split between Australian and global shares.
A moving azimuth: falling spending continues
Monthly expenses on the credit card have continued their downward trajectory across the past month.
[Chart]
The rolling average of monthly credit card spending is now at its lowest point over the period of the journey. This is despite the end of lockdown, and a slow resumption of some more normal aspects of spending.
This has continued the brief period since April of the achievement of a notional and contingent kind of financial independence.
The below chart illustrates this temporary state, setting out the degree to which portfolio distributions cover estimated total expenses, measured month to month.
[Chart]
There are two sources of volatility underlying its movement. The first is the level of expenses, which can vary, and the second is the fact that it is based on financial year distributions, which are themselves volatile.
Importantly, the distributions over the last twelve months of this chart is only an estimate - and hence the next few weeks will affect the precision of this analysis across its last 12 observations.
Estimating 2019-20 financial year portfolio distributions
Since the beginning of the journey, this time of year usually has sense of waiting for events to unfold - in particular, finding out the level of half-year distributions to June.
These represent the bulk of distributions, usually averaging 60-65 per cent of total distributions received. They are an important and tangible signpost of progress on the financial independence journey.
This is no simple task, as distributions have varied in size considerably.
A part of this variation has been the important role of sometimes large and lumpy capital distributions - which have made up between 30 to 48 per cent of total distributions in recent years, and an average of around 15 per cent across the last two decades.
I have experimented with many different approaches, most of which have relied on averaging over multi-year periods to even out the 'peaks and troughs' of how market movements may have affected distributions. The main approaches have been:
Each of these have their particular simplifications, advantages and drawbacks.
Developing new navigation tools
Over the past month I have also developed more fully an alternate 'model' for estimating returns.
This simply derives a median value across a set of historical 'cents per unit' distribution data for June and December payouts for the Vanguard funds and exchange traded funds. These make up over 96 per cent of income producing portfolio assets.
In other words, this model essentially assumes that each Vanguard fund and ETF owned pays out the 'average' level of distributions this half-year, with the average being based on distribution records that typically go back between 5 to 10 years.
Mapping the distribution estimates
The chart below sets out the estimate produced by each approach for the June distributions that are to come.
[Chart]
Some observations on these findings can be made.
The lowest estimate is the 'adjusted GFC income' observation, which essentially assumes that the income for this period is as low as experienced by the equity and bond portfolio during the Global Financial Crisis. Just due to timing differences of the period observed, this seems to be a 'worst case' lower bound estimate, which I do not currently place significant weight on.
Similarly, at the highest end, the 'average distribution rate' approach simply assumes June distributions deliver a distribution equal to the median that the entire portfolio has delivered since 1999. With higher interest rates, and larger fixed income holdings across much of that time, this seems an objectively unlikely outcome.
Similarly, the delivery of exactly the income suggested by long-term averages measured across decades and even centuries would be a matter of chance, rather than the basis for rational expectations.
Central estimates of the line of position
This leaves the estimates towards the centre of the chart - estimates of between around $28 000 to $43 000 as representing the more likely range.
I attach less weight to the historical three-year average due to the high contribution of distributed capital gains over that period of growth, where at least across equities some capital losses are likely to be in greater presence.
My preferred central estimate is the model estimate (green) , as it is based in historical data directly from the investment vehicles rather than my own evolving portfolio. The data it is based on in some cases goes back to the Global Financial Crisis. This estimate is also quite close to the raw average of all the alternative approaches (red). It sits a little above the 'adjusted income' measure.
None of these estimates, it should be noted, contain any explicit adjustment for the earnings and dividend reductions or delays arising from COVID-19. They may, therefore represent a modest over-estimate for likely June distributions, to the extent that these effects are more negative than those experienced on average across the period of the underlying data.
These are difficult to estimate, but dividend reductions could easily be in the order of 20-30 per cent, plausibly lowering distributions to the $23 000 to $27 000 range. The recently announced forecast dividend for the Vanguard Australian Shares ETF (VAS) is, for example, the lowest in four years.
As seen from chart above, there is a wide band of estimates, which grow wider still should capital gains be unexpectedly distributed from the Vanguard retail funds. These have represented a source of considerable volatility. Given this, it may seem fruitless to seek to estimate these forthcoming distributions, compared to just waiting for them to arrive.
Yet this exercise helps by setting out reasoning and positions, before hindsight bias urgently arrives to inform me that I knew the right answer all along. It also potentially helps clearly 'reject' some models over time, if the predictions they make prove to be systematically incorrect.
Progress
Progress against the objective, and the additional measures I have reached is set out below.
Measure Portfolio All Assets
Portfolio objective – $2 180 000 (or $87 000 pa) 81.0% 109.4%
Credit card purchases – $71 000 pa 98.8% 133.5%
Total expenses – $89 000 pa 79.2% 106.9%
Summary
The current coronavirus conditions are affecting all aspects of the journey to financial independence - changing spending habits, leading to volatility in equity markets and sequencing risks, and perhaps dramatically altering the expected pattern of portfolio distributions.
Although history can provide some guidance, there is simply no definitive way to know whether any or all of these changes will be fundamental and permanent alterations, or simply data points on a post-natural disaster path to a different post-pandemic set of conditions. There is the temptation to fit past crises imperfectly into the modern picture, as this Of Dollars and Data post illustrates well.
Taking a longer 100 year view, this piece 'The Allegory of the Hawk and Serpent' is a reminder that our entire set of received truths about constructing a portfolio to survive for the long-term can be a product of a sample size of one - actual past history - and subject to recency bias.
This month has felt like one of quiet routines, muted events compared to the past few months, and waiting to understand more fully the shape of the new. Nonetheless, with each new investment, or week of lower expenditure than implied in my FI target, the nature of the journey is incrementally changing - beneath the surface.
Small milestones are being passed - such as over 40 per cent of my equity holdings being outside of the the Vanguard retail funds. Or these these retail funds - which once formed over 95 per cent of the portfolio - now making up less than half.
With a significant part of the financial independence journey being about repeated small actions producing outsized results with time, the issue of maintaining good routines while exploring beneficial changes is real.
Adding to the complexity is that embarking on the financial journey itself is likely to change who one is. This idea, of the difficulty or impossibility of knowing the preferences of a future self, is explored in a fascinating way in this Econtalk podcast episode with a philosophical thought experiment about vampires. It poses the question: perhaps we can never know ourselves at the destination? And yet, who would rationally choose ruin over any change?
The post, links and full charts can be seen here.
submitted by thefiexpl to fiaustralia [link] [comments]

NKLA

For Trading September 15th
Nikola Under the Microscope
TIK TOK & ORCL
Today’s market started off with a rally and then just kept on going. There were several interesting stories, but no doubt that today was an up day with solid internals, including 5:1 up volume on the NYSE. The DJIA +327.69 (1.18%), NASDAQ +203.11 (1.87%), S&P 500 +42.57 (1.27%) and the biggest gainer, the Russell +39.70 (2.85%) and the DJ Transports +98.20(.87%). A/D on NYSE was 4:1 while NASDAQ was 3.6:1 and volume was moderate. DJIA was 5:1 up with no double-digit losers and the winners were UNH +47, BA +34, HD & V +28DPs. Nothing overwhelming, just a broad-based rally. Our “open forum” on Discord, which allows me to interact with subscribers and others to allow direct questions and chart opinions on just about any stock, continues to grow with more participants every day. It is informative and allows me to share insights as the market is open and moving. The link is: https://discord.gg/ATvC7YZ and I will be there and active from before the open and all day. It’s a great place to share ideas and gain some insights, and we’ve grown to almost 3000 members. I also returned to my radio show today with a great live interview with the Chief Medical Officer of JANONE (JAN) and it was a great show. This is the link to the audio recording including my discussion of the market and the very exciting story of JAN’s phenomenal NON-OPIOID Pain Med! This is the link: https://www.youtube.com/watch?v=oCFCxnijFO4 Enjoy!! TUESDAY’S RADIO SHOW: https://youtu.be/DK2hmC0GXFk With my guest: Dennis Marlow! Tonight’s closing comment video: https://youtu.be/rTuJflYygcI
SECTORS: We started off the day with the news that TIK TOK rejected the MSFT deal and was going to become “partners” with ORCL. It’s still somewhat up in the air as to what that actually means, but ORCL rallied on the news, closing $59.46 +2.46 (4.3%) after trading as high as $61.50. Stay tuned and I’m sure they will figure it out! Also in the news was the purchase of IMMU by GILD. While the deal gives GILD more of a portfolio of cancer therapies, the question of price paid and when they would actually make a meaningful contribution took a little off the celebration. IMMU was an $8.00 stock as recently as April and had already moved up to $42, and it closed today $83.65 +41.41 (98%). GILD is paying $88.00 or just 11 times the April price. DKNG and CZR were part of a new alliance with ESPN (DIS) as their official “Daily Fantasy Gaming” partners. DKNG finished $48.62 +7.16 (17%), and CZR was $55.39 +5.28 (10.5%). Lennar (LEN) had blow-out earnings but the stock, up from the March low of $25 to close $79 managed a small rally to $80.50 before reversing and closing $75.85 -1.63. NKLA has had some awfully bad press lately but it rallied today. After falling from $54.56 last Tuesday to close out the week $32.13 -3.42 it was trading$35.79 +3.66 before the headline that the SEC was looking into the allegations made by both Hindenburg Capital and Citron, that they had misled investors in their promotional offerings. The stock fell to $31.50 and finished $32.88 + .75. More news to come. And last, NVDA is buying ARM Holdings from Softbank and both stocks rallied. NVDA finished the day $514.89 +28.31 (5.8%) and SFTBY closed $29.69 +2.19 (8%).
FOOD SUPPLY CHAIN was HIGHER with TSN +1.53, BGS +.83, FLO -.14, CPB +.32, CAG +.12, MDLZ +.36, KHC +.16, CALM +.26, JJSF +1.25, SAFM +4.08, HRL +.39, SJM +.15, PPC +.53, KR -1.52, and PBJ $33.31 +.09 (.25%).
BIOPHARMA was HIGHER with BIIB +8.38, ABBV +1.04, REGN +19.45, ISRG +13.80, GILD +1.70, MYL +.44, TEVA +.37, VRTX +6.84, BHC +.60, INCY +5.15, ICPT +2.44, LABU +9.43. and IBB $135.55 +7.76 (6.07%). CANNABIS: was HIGHER with TLRY +.05, CGC +.26, CRON +.19, GWPH +9.99, ACB +.26, NBEV +.04, CURLF -.26, KERN -.08, and MJ $11.48 +.23 (2.04%).
DEFENSE: was HIGHER with LMT +5.35, GD +2.63, TXT +.91, NOC -.45, BWXT +.94, TDY +8.53, RTX +1.50, and ITA $165.85 +2.85 (1.75%).
RETAIL: was HIGHER with M +.17, JWN +.61, KSS +1.92, DDS +1.26, WMT +.45, TGT +1.35, TJX +1.35, RL +4.43, UAA +.65, LULU +.71, TPR +1.37, CPRI +1.23, and XRT $50.94 +1.17 (2.35%).
FAANG & MEGA-CAP were HIGHER with GOOGL -3.38, AMZN -7.22, AAPL +3.94, FB +.73, NFLX -.03, NVDA +31.72, TSLA +50.73, BABA +2.85, BIDU +1.26, CRM +3.20, BA +4.98, CMG -23.83, CAT -.58, DIS -1.80, and XLK $115.33 +2.37 (2.1%). PLEASE BE AWARE THAT THESE PRICES ARE LATE MARKET QUOTES AND DO NOT REPRESENT THE 4:00 CLOSES.
FINANCIALS were HIGHER with GS +.98, JPM +1.73, BAC +.31, MS +.90, C -2.62, PNC +2.38, AOG +.90, TRV +1.06, AXP +3.93, V +4.32, and XLF $25.05 +.34 (1.38%).
OIL, $37.26 -.07, Oil was quiet and drifted all day. I am looking for about another $1.00 or so before I would consider buying it for a bounce. The stocks were mixed with XLE $32.87 +.25 (.77%).
GOLD $1,963.70 + 15.80sold off early but didn’t break below the $1910 area I am using as support. It turned back and rallied and closed right near the highs. I did a short update video Wed: https://youtu.be/KJgk-wmVJ4U I am still a bull on the metal, and we have a September bull call spread on using NEM 65/70 calls with a cost of $1.45, which closed today @ $2.42.
BITCOIN: closed $10,705 +365. After breaking out over $10,000 we have had a “running correction” pushing prices toward $12,000, reaching a recovery high of $12220 Thursday, and after a day of rest in between, we resumed the rally touching $12,635, but have sold off back to support. We had 750 shares of GBTC and sold off 250 last week at $13.93 and still have 500 with a cost of $8.45. GBTC closed $11.85 +.62 today.
Tomorrow is another day.
CAM
submitted by Dashover to OptionsOnly [link] [comments]

Price Discovery in Bitcoin exchange

About thirty days ago I shared a chart on Price Discovery in this sub. There was a lot of interest in it and I promised to explain in detail a Bitcoin price discovery algorithm.. I do so in this post.
*this text post is a slightly shorter version of what I wrote in my blog.

TL;DR

I applied price discovery algorithms to 5 Min OHLCV data from Bitmex and CME contracts and Bitstamp, Coinbase, HitBTC, Kraken, Poloniex, Binance, and OkEx BTCUSD/BTCUSDT markets from March 2016 to May 2020. Some exciting results I got was:

Introduction

Price discovery is the overall process of setting the price of an asset. Price discovery algorithms identify the leader exchanges whose traders define the price. Two approaches are most famous for use in Price Discovery. Gonzalo and Granger (1995) and Hasbrouck (1995). But they assume random walk, and a common efficient price. I do not feel comfortable assuming random walk and common efficient price in Bitcoin Markets. So I used this little know method by De Blasis (2019) for this analysis. This work assumes that "the fastest price to reflect new information releases a price signal to the other slower price series." I thought this was valid in our market. It uses Markov Chains to measure Price Discovery. Without going into the mathematical details the summary steps used was:
De Blasis (2019) names this number Price Leadership Share (PLS). High PLS indicates a large role in price discovery. As the sum of the numbers is 1, they can be looked at as a percentage contribution. I recommend reading the original paper if you are interested to know more about the mathematical detail.

Data

Andersen (2000) argues that 5 Minute window provides the best trade-off between getting enough data and avoiding noise. In one of the first work on Bitcoin's Price Discovery, Brandvold et al. 2015 had used 5M window. So I obtained 5M OHLCV data using the following sources:
Futures data are different from other data because multiple futures contract trades at the same time. I formed a single data from the multiple time series by selecting the nearest contract until it was three days from expiration. I used the next contract when the contract was three days from expiration. This approach was advocated by Booth et al ( 1999 )

Analysis

I can't embed the chart on reddit so open this https://warproxxx.github.io/static/price_discovery.html
In the figure above, each colored line shows the total influence the exchange had towards the discovery of Bitcoin Price on that day. Its axis is on the left. The black line shows a moving average of the bitcoin price at the close in Bitfinex for comparison. The chart was created by plotting the EMA of price and dominance with a smoothing factor of 0.1. This was done to eliminate the noise. Let's start looking from the beginning. We start with a slight Bitfinex dominance at the start. When the price starts going up, Bitfinex's influence does too. This was the time large Tether printing was attributed to the rise of price by many individuals. But Bitfinex's influence wanes down as the price starts rising (remember that the chart is an exponential moving average. Its a lagging indicator). Afterward, exchanges like Binance and Bitstamp increase their role, and there isn't any single leader in the run. So although Bitfinex may have been responsible for the initial pump trades on other exchanges were responsible for the later rally.
CME contracts were added to our analysis in February 2018. Initially, they don't have much influence. On a similar work Alexandar and Heck (2019) noted that initially CBOE contracts had more influence. CBOE later delisted Bitcoin futures so I couldn't get that data. Overall, Bitmex and CME contracts have been averaging around 50% of the role in price discovery. To make the dominance clear, look at this chart where I add Bitmex Futures and Perp contract's dominance figure to create a single dominance index. There bitmex leads 936 of the total 1334 days (Bitfinex leads 298 days and coinbase and binance get 64 and 6 days). That is a lot. One possible reason for this might be Bitmex's low trading fee. Bitmex has a very generous -0.025% maker fee and price discovery tend to occur primarily in the market with smaller trading costs (Booth et al, 1999). It may also be because our market is mature. In mature markets, futures lead the price discovery.
Exchange bitmex_futures bitfinex coinbase bitmex okex binance cme bitstamp okcoin kraken poloniex
Days Lead 571 501 102 88 34 12 8 7 6 4 1
 Table 1: Days Lead 
Out of 1334 days in the analysis, Bitmex futures leads the discovery in 571 days or nearly 43% of the duration. Bitfinex leads for 501 days. Bitfinex's high number is due to its extreme dominance in the early days.
Exchange binance huobi cme okcoin bitmex_futures okex hitbtc kraken poloniex bitstamp bitfinex coinbase bitmex
Correlation 0.809190 0.715667 0.648058 0.644432 0.577147 0.444821 0.032649 -0.187348 -0.365175 -0.564073 -0.665008 -0.695115 -0.752103
 Table 2: Correlation between the close price and Exchange's dominance index 
Binance, Huobi, CME, and OkCoin had the most significant correlation with the close price. Bitmex, Coinbase, Bitfinex, and Bitstamp's dominance were negatively correlated. This was very interesting. To know more, I captured a yearwise correlation.
index 2016 2017 2018 2019 2020
0 bitfinex 0.028264 -0.519791 0.829700 -0.242631 0.626386
1 bitmex 0.090758 -0.752297 -0.654742 0.052242 -0.584956
2 bitmex_futures -0.011323 -0.149281 -0.458857 0.660135 0.095305
3 bitstamp 0.316291 -0.373688 0.600240 -0.255408 -0.407608
4 coinbase -0.505492 -0.128336 -0.351794 -0.410874 -0.262036
5 hitbtc 0.024425 0.486229 0.104912 -0.200203 0.308862
6 kraken 0.275797 0.422656 0.294762 -0.064594 -0.192290
7 poloniex 0.177616 -0.087090 0.230987 -0.135046 -0.154726
8 binance NaN 0.865295 0.706725 -0.484130 0.265086
9 okcoin NaN 0.797682 0.463455 -0.010186 -0.160217
10 huobi NaN 0.748489 0.351514 -0.298418 0.434164
11 cme NaN NaN -0.616407 0.694494 -0.012962
12 okex NaN NaN -0.618888 -0.399567 0.432474
Table 3: Yearwise Correlation between the close price and Exchange's dominance index
Price movement is pretty complicated. If one factor, like a dominant exchange, could explain it, everyone would be making money trading. With this disclaimer out of the way, let us try to make some conclusions. This year Bitfinex, Huobi, and OkEx, Tether based exchanges, discovery power have shown a high correlation with the close price. This means that when the traders there become successful, price rises. When the traders there are failing, Bitmex traders dominate and then the price is falling. I found this interesting as I have been seeing the OkEx whale who has been preceding price rises in this sub. I leave the interpretation of other past years to the reader.

Limitations

My analysis does not include market data for other derivative exchanges like Huobi, OkEx, Binance, and Deribit. So, all future market's influence may be going to Bitmex. I did not add their data because they started having an impact recently. A more fair assessment may be to conclude this as the new power of derivative markets instead of attributing it as the power of Bitmex. But Bitmex has dominated futures volume most of the time (until recently). And they brought the concept of perpetual swaps.

Conclusion

There is a lot in this data. If you are making a trading algo think there is some edge here. Someday I will backtest some trading logic based on this data. Then I will have more info and might write more. But, this analysis was enough for to shift my focus from a Bitfinex based trading algorithm to a Bitmex based one. It has been giving me good results.
If you have any good ideas that you want me to write about or discuss further please comment. If there is enough interest in this measurement, I can setup a live interface that provides the live value.
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[Daily Discussion] Sunday, April 07, 2019

Thread topics include, but are not limited to:
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Bitcoin Chart Analysis April 3 BTC USD Bitcoin Chart Analysis / Talk April 15 - BTC USD Bitcoin Chart Analysis / Talk April 22 - BTC USD Bitcoin Chart Analysis April 5 BTC USD Bitcoin Chart Analysis / Talk April 12 - BTC USD

Bitcoin charts on April 15, 2020. Posted on April 14, 2020 by JJ April 14, 2020. Bitcoin Support and Resistance . Please Read Our Explanation and Disclaimer first. 5-Day Outlook: Cautiously Bullish . Maximum of 7177.0 will likely be exceeded. Minimum of 6575.0 may or may not be reached. 10-Day Outlook: Cautiously Bullish . Maximum of 7459.69 will likely be exceeded. Minimum of 6575.0 may or ... Price charts Bitcoin price. Bitcoin price (BTC) Add to Watchlist $ 13,070.01 +0.56% . 1h. 24h. 1w. 1m. 1y. all. $0.0000 January 1 12:00 AM. 10:56 AM 3:06 PM 7:17 PM 11:27 PM 3:38 AM 7:48 AM. Market cap $ 242.4B. Volume (24 hours) $ 23.6B. Circulating supply 18.5 M BTC. About Bitcoin. The world’s first cryptocurrency, Bitcoin is stored and exchanged securely on the internet through a digital ... Bitcoin Charts. Blocks: 481823: Total BTC: 16.523M: Difficulty: 923233068449: Estimated: 887736944047 in 1 blks: Network total: 7983858.406 Thash/s: Blocks/hour: 7.25 / 497 s: Home; Bitcoin; Markets; Charts; About. Oct 23, 2020 09:28:30 (UTC) Advertise on Bitcoincharts. Welcome! Bitcoincharts provides financial and technical data related to the Bitcoin network. Bitcoin News 20 Jun 2018 Freedom ... Der Bitcoin - Euro Chart zeigt die Entwicklung des Bitcoin - Euro in grafischer Form und erlaubt somit einen schnellen Überblick über Kursverlauf, Höchst- und Tiefststände. Bitcoin has had a turbulent history, with huge price surges and devastating price corrections being a recurring theme over the years. Despite this, Bitcoin continues to see ongoing growth and adoption, along with increased mainstream media coverage of the broader cryptocurrency market. 2020. January--February--March--April--May--June--July--August--September--October--November--December ...

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Bitcoin Chart Analysis April 3 BTC USD

NOT INVESTMENT ADVICE Like, Subscribe, Comment & Share, if You Enjoy the Content. Thank you for your time and support. Videos will now be Monday, Wednesday, Friday Evening EST unless ... Bitcoin Chart Analysis April 3 BTC USD - Duration: 10:37. JD Marshall 1,083 views. 10:37. Bitcoin Chart Analysis / Talk March 18 - BTC USD - Duration: 11:04. JD Marshall 855 views. 11:04 . Bitcoin ... Find out how to set up the software Meta Trader 4 to trade cryptocurrencies like Bitcoin and Litecoin on the btc-e exchange. Bitcoin Chart Analysis April 5 BTC USD - Duration: 11:43. JD Marshall 1,133 views. 11:43. What is Blockchain - Duration: 13:59. zlotolow Recommended for you. 13:59. Bitcoin HUGE MOVE NEXT Might ... NOT INVESTMENT ADVICE Like, Subscribe, Comment & Share, if You Enjoy the Content. Thank you for your time and support. Videos will now be Monday, Wednesday, Friday Evening EST unless ...

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