Bitcoin NVT Ratio : Woobull Charts

Crypto Analyst Finds Bull Signal On Bitcoin Chart Indicating Potential Rebound The value of Bitcoin has severely depreciated, hovering at around $8,000 from its previous high of $10,000. With an uncertain market trend, some analysts

Crypto Analyst Finds Bull Signal On Bitcoin Chart Indicating Potential Rebound The value of Bitcoin has severely depreciated, hovering at around $8,000 from its previous high of $10,000. With an uncertain market trend, some analysts submitted by Crypterium_app to crypterium_com [link] [comments]

Crypto Analyst Finds Bull Signal On Bitcoin Chart Indicating Potential Rebound The value of Bitcoin has severely depreciated, hovering at around $8,000 from its previous high of $10,000. With an uncertain market trend, some analysts

Crypto Analyst Finds Bull Signal On Bitcoin Chart Indicating Potential Rebound The value of Bitcoin has severely depreciated, hovering at around $8,000 from its previous high of $10,000. With an uncertain market trend, some analysts submitted by Crypterium_app to Crypterium [link] [comments]

Conflicted On Twitter Heading Into Earnings

Conflicted On Twitter Heading Into Earnings
TL;DR: Twitter has a horrible execution history and negative surprises on the most recent earnings call, but company has real long term value that has yet to be unlocked. The bet here is that TWTR has run up based on pin action from SNAP, but fundamentals and peer comparison cloud the picture.
I read this post calling for a short on Twitter and it became a bit of a WSB ear worm. I generally agreed with OP's assessment, but he was a bit short on DD and most of my thoughts are based on biases against the company's horrible execution/monetization history and a general disdain for Jack Dorsey wanting to move to Africa for a year rather than focusing on the TWO companies that have made him a billionaire.
I thought about it, researched some short term puts (high premium as expected given recent run up into all time high today, earnings Thursday) and basically ATM puts are running $2.76 for $51's expiring Friday or $3.36 if I want to give myself the extra week (ELECTION MADNESS!) for an extra swing at the payoff.
My initial thought is that Twitter has run up with SNAP and PINS after SNAP crushed earnings. I had started to look at PINS for an earnings play but didn't get to it before SNAP sent them all (and FB) off to the races. With that said, Twitter has a history of disappointing and I'm not aware of anything they've done recently to better monetize the site. I also haven't done any DD on them in forever after getting stuck long a few times and having to wait a quarter or so twice for what should have been a short term trade.
So, thanks to OP Justaryns, here's some follow on DD. Now I'm more conflicted.
Financials.
Strong balance sheet. Company had $7.8 Billion cash on hand end of June, adding $1 Billion of that during the first six (crash/shutdown) months of the year. Only $831 Million of current liabilities and total debt is $4.1 Billion. Market Cap is less than 4x book value. No issues here.
Income statement is a bit more hokey. They took a major charge last quarter for a "non-cash tax deferred asset". That messed up a slow but steady growing trendline. How much so? Check the CNBC graphic:

2Q: Whoops
Also during the last quarter, Twitter had a massive hack where some moron tried to use the accounts of famous people to try and sell (Edit; The currency that we doth not speak its name). No word on which autist here did that. The problems continued into the last few weeks, when Twitter had a massive outage that the President blamed cited the Babylon Bee as Biden protection. That's more of a reminder that headline and political risk remains in all communication services stocks, and tomorrow we'll get a better reminder as the CEO's of Twitter, Facebook, and Microsoft testify before a Congress that hates them more than their own voters.
So Twitter has execution problems, political risk, and a CEO that is still trying to decide what he wants to be when he grows up. Yet it's had a massive run up as pin action from SNAP. Does it have further room to run? Chart comparisons suggest it could.

Relative Performance of SNAP, PINS, TWTR, and FB
This is where I get heartburn on the short. Over the past year, PINS and SNAP have had over a 150% return. FB, much more established and with a market cap 20 times that of Twitter, has still given a respectable 46% return. Twitter is up 73%, which is a lot...until you compare it to peers like SNAP and PINS.
Further, analysts are sour on Twitter, with 32 of 41 giving hold or underperform ratings, and a stock price 20% below current prices. I tend to consider them a contra-indicator, in that they move after sentiment does, usually not before.

CNBC analyst summary
So, I'm torn. If Dorsey can demonstrate he has finally decided to execute a business plan and fix the recurring technical/security issues, there's real value to unlock here. Short term....I'm probably willing to take a gamble that he hasn't, and buy a few puts. What say y'all?
Related Positions: 6 FB 275 Nov 20 calls. No positions yet on TWTR.
submitted by One_Eyed_Man_King to wallstreetbets [link] [comments]

Some Bitcoin Analysts and Prediction Today and Yesterday & Why "It's not the Price, Dummy"

This is just for fun, I generally have no strong feelings toward bitcoin price (I'm just fundamentally against zero-sum get rich schemes). But today I decided to do a little bitcoin search in news.google.com and see what today's bulls were predicting in 2018. Side note, almost all of the news articles came from crypto sites. I tried my best to stay away from them. Farming magazine telling you agriculture is the future isn't exactly shocking.
To people who invest, please don't consider this as a prediction that price will fall. I'm not astute or smart enough to predict either way. The only possible use is to make sure you are more skeptic regarding predictions. Keep in mind, a rich CEO or consultant can lose 100 million and not really affect his life that much, but a 10k or 100k lose for some people can be devastating. And remember, some of these rich hedge managers don't believe their own bullshit, and hopefully, some of these quotes will emulate that.
(Note, I won't waste time linking them all, but by quoting them directly, it should be easy to google)
(another side note, I didn't purposely search out specific names. I went by the first names I came across, and only ignoring those that I couldn't find anything regarding crypto in past years)

Mike Novogratz

Present: Business Inside: Bitcoin is like 'digital gold' and won't be used the same as a traditional currency in at least 5 years, billionaire investor Mike Novogratz says
Past: On Nov, 2017, he said: "Bitcoin could ‘easily’ reach $40,000 by the end of 2018, hedge fund legend Novogratz says"
2018: "Michael Novogratz calls a bottom in cryptocurrencies" (it wasn't)
Novogratz started a crypto funding in 2018. First 9 months "Mike Novogratz’s Crypto Trading Desk Lost $136 Million in Nine Months" (Bloomberg). Quarter 4: "Galaxy Digital Posts $32.9 Million in Net Loss for Q4 2019". Feb 2020 "Mike Novogratz’s Galaxy Digital Slashes 15% Staff"

Raoul Pal

Present: "For Raoul Pal, CEO of Real Vision, the bullish atmosphere had been reinforced, and further gains were more likely than ever.
“There are literally only two resistances left on the #bitcoin chart - 14,000 and then the old all-time high at 20,000,” he tweeted."
In a tweet today, he said, "Bitcoin is eating the world...
It has become a supermassive black hole that is sucking in everything around it and destroying it. This narrative is only going to grow over the next 18 months.
You see, gold is breaking down versus bitcoin...and gold investors will flip to BTC"
Past: 2014: "Put them in the same kind of equation we get a value of bitcoin and that value is a million dollars. Now, you'll never hear an analyst say this—but I don't mind this—I could be wrong by 90%, and it's still worth $100,000." (to be honest, that's a bit of an impressive prediction in 2014)
On the other hand, he probably didn't really believe his own prediction because in June, 2017 (when it was 2000 USD or so), he said: " “This is the most exponential move we have seen. I don’t know how far it goes, but I sold out last week… and I’ve [owned Bitcoin] since it was $200. Anything that moves exponentially, always [blows up].”"
In 2016, "This view brings Pal to the asset he favors most over the next year out of bonds, equities, currencies and commodities: the dollar."

---

Eh, that was just two. I was hoping to mention several people, but it appears not many people are actually making predictions anymore, and anyone mentioned are basically not big people so I couldn't find much on them regarding bitcoin before 2019.
So, the main thing I like to highlight are the analysts and such are going to make money whatever happens. Fund managers are playing with people's money and, as long as they are not involved in frauds, there is no real harm to them against wrong predictions. Generally, successful business people are successful because they were loud, confident, and were able to convince others that they had the right idea. Even when wrong, they bounce back. Most of us aren't like that.
Some bitcoiners come here to boast when price goes up, as if the increase in price is an indication that argument against bitcoin has been proven wrong. While some people here are fanatically anti-bitcoin, I am not one of those. I have nothing against people making money (why would I be upset that people I don't know around the world became wealthier??). But since bitcoin investing is by design a zero sum game, certain people will eventually lose, and it is most likely it is the people who were listening to predictions by experts that would ultimately be financially hurt, and not the experts making the predictions.
Crypto investing has been a platform where the average person works hard in his day to day life, and then brings the fruits of his labor into this field. The actual productive part of that person's life is the one outside crypto, where they had been productive for the community, and in exchange, they receive wages. Crypto investing's promise is for this wage to increase without the actual productivity. The concern is mainly that the result of all that labor will be misused by crypto "experts" who's own income (their labor) is directly linked to predictions on crypto.
The above paragraph is badly explained, but the main point is that the average person brings in outside money they worked hard for, while "experts" there is generally no outside money, crypto fund management or consulting itself is their job.
---
Money can be made, of course, but money being made isn't necessarily an argument for something. Bitcoin, and crypto, has for the past 1.5 decades still largely just about numbers going up. Google trend on "bitcoin" show top related queries being "bitcoin price", "bitcoin usd", "bitcoin usd price". When people come here when it hits a particular arbitrary price point thinking it's their gotcha moment, it actually just reinforces my argument that it is only about the price. Nothing in the history of human economy has ever lasted based only on the economic model of who you could resell it for at a higher price.
Even DeFi's smart contracts (as much as I could understand it) is about prices going up. It's like for these people the concept of contracts are based purely on money exchanging hands, and no actual task being done. Almost all contracts globally are based on specific productive tasks being done, such as employee contract, supplier contract, property contract, and so on. Only a tiny amount of it is based on "if this currency goes up, then give me that currency" contracts.
---
submitted by madali0 to Buttcoin [link] [comments]

How I plan to identify and sell the top of the next market cycle.

In this post I will share with you some of the strategies I will use to identify the next market cycle top so I can sell for maximum profits (and of course buy back in later in the subsequent bear market!) In the first part of this post I will discuss the resources I will use and in the second part I will discuss tactics in selling and risk management.

Indicators

As the bull run begins to drag on and the price of ETH starts getting closer and closer to $10k I will begin to start watching many of the data science charts over at Look into Bitcoin. This will not be the only source I will use since there are great custom tools on TradingView too as well as more subjective indicators such as friends and family talking crypto and hearing about crypto again in the mainstream media. I’d also like to note that many of the indicators I will be looking at will be Bitcoin focused despite my ETH centred portfolio. Like it or not, this market is still Bitcoin dominated and despite the many proponents of an ETH flippening (myself included), it is quite likely that we will not see it this cycle due to the macro investing environment favouring assets which are good stores of value to weather the uncertainty. Ultimately, Bitcoin has the best store of value meme in crypto and that will be very powerful in the coming years.
I think it is likely that the time for Ethereum or a network like Ethereum with a yielding asset (ETH under ETH 2.0) and a native economy of DeFi, DApps, NFTs and much more will be once all of the stock market uncertainty is over and investors are ready to take on more risk again. I am of course still expecting Ethereum and altcoins to outperform Bitcoin this cycle. However, I think that Bitcoin losing the number 1 spot will be more likely to happen between 2023 and 2030 rather than in the next 2-3 years. I hope I am wrong though.
While most of the indicators on Looking into Bitcoin are useful, I will list the ones I’ll be focusing on the most here:
And finally my favourite, the Golden Ratio Multiplier. This indicator has been remarkably accurate at predicting tops using the golden ratio (1.6) and the fibonacci sequence (0, 1, 1, 2, 3, 5, 8, 13, 21) multiplied by the 350 day moving average. With each market cycle, the 350 day moving average is multiplied by the next number down in the fibonacci sequence. For example, the 2013 peak only just passed above the 350 day moving average multiplied by 8 and the 2017 bull market just touched the 350 day moving average multiplied by 5. So if this indicator is to work in the next cycle, we can expect the price to slightly exceed 3 times the value of the 350 day moving average. This indicator also worked for Ethereum in the 2017 bull run. While there is no graph for it, on the 13th of January, when ETH hit a peak of $1,419, the 350 day moving average was at $270. $270 multiplied by 5 is $1,350. If you sold at $1,350 you sold incredibly close to the top and I don’t think that any macro traders/long term traders would complain about that timing.
I’d like to note that while indicators like the Golden Ratio Multiplier factors in for less explosive growth each cycle, not all of the above indicators do. So be cautious of this when you think the peak is near as it may be closer than you think. In saying that, there is a lot of luck involved so I should also point out that it also might not be closer than you think. However, it would be better to sell before the peak at say $10,000/BTC as of 2017 than to be left holding all of your crypto when the bear market begins since Bitcoin didn’t spend much time above $10,000/BTC after the $20K peak. Ultimately it is up to you to decide your risk appetite and how well you want to try and time the market. For me, I will definitely be on the conservative side so that I don’t miss the boat completely and hopefully I will be able to sell most of my crypto just before we peak rather than afterwards.

Risk Management

Since timing the top requires a lot of luck, a good method of mitigating the risk is to spread out when you sell. I’m going to share with you my personal strategy but I recommend that you create your own strategy or use this as a basis from which you can use to adjust and tweak it to optimally suit your situation. If you have a large stack, you will probably want to sell early since you might not need such spectacular gains to lock in some life changing money. On the other hand, if you have a smaller stack or if you are younger, you can afford to take more risk and might want to try and time the absolute peak a bit better to get that much closer to making some life changing money. Personally, while my stack isn’t very big in dollar terms, it is a significant % of my net worth and so I don’t have a high risk tolerance with it (at least relative to other people in crypto!) For this reason I will be selling a little bit on the early side.
My plan has three pots of crypto. 20% of my crypto I will hold indefinitely since I very strongly believe in the long term prospect of ETH and BTC as investments. This way if I time the markets terribly, I will always have some skin in the crypto game. The second pot of crypto is 40% which I will sell on the way up to take some profits and I don’t intend on putting this money back into crypto. Initially I will be selling very small amounts of this 40% and as the indicators listed above get closer and closer to calling a top, I will sell larger proportions of this crypto. I haven’t set specific target numbers since things change fast in this space and I feel like the best decisions in this case are made in the moment. For example, estimating a market top is hard when it is 2-3 years away, but it is much easier when it is just months or weeks away. Once again, this is just personal preference. Many of you will find that setting targets now makes it easier for you to pull the trigger and take some profits when everyone else is calling $1M BTC while it is at $100K or calling for $100K ETH when the current price might be $10K.
Finally, the last 40% I will sell all at once when I feel like we are at the top and I am confident that the price will be lower a year on from that point in time. With this 40% I will try and buy back during the bear market with the help of many of the same indicators I listed above from Look into Bitcoin. I will also use some indicators which I didn’t mention above since some are better designed at identifying market bottoms. My goal is to be able to buy back the number of BTC and ETH I held before I sold anything with this 40% (plus the 20% I didn’t sell). This is a big ask but it is better in life to set hard goals that seem unattainable or unrealistic than it is to set easy goals.
To summarise my portfolio strategy, 20% of my portfolio is an indefinite hold, 40% I will sell on the way up and I do not intend on buying back into crypto with this money so I can avoid being over-exposed to crypto. The last 40% I will use to try and sell the top and buy the bottom.

Closing Notes

As a closing note I would like to say that it will be important to be aware of the power of greed and FOMO. Do not under-estimate these emotions and try to remain a grounded and rational investor. Don’t be scared to take profits. I know from experience trading altcoins that it is better to exit a position early and miss out on another 100% price increase than it is to hold through a bear market and take >90% losses. If you go into this bullrun telling yourself you will take profits on the way up, you will have no reason to regret any early sales since you will know that you made a rational trade and not an emotional trade.
submitted by Tricky_Troll to ethfinance [link] [comments]

How I plan to identify and sell the top of the next market cycle.

In this post I will share with you some of the strategies I will use to identify the next market cycle top so I can sell for maximum profits (and of course buy back in later in the subsequent bear market!) In the first part of this post I will discuss the resources I will use and in the second part I will discuss tactics in selling and risk management.

Indicators

As the bull run begins to drag on and the price of ETH starts getting closer and closer to $10k I will begin to start watching many of the data science charts over at Look into Bitcoin. This will not be the only source I will use since there are great custom tools on TradingView too as well as more subjective indicators such as friends and family talking crypto and hearing about crypto again in the mainstream media. I’d also like to note that many of the indicators I will be looking at will be Bitcoin focused despite my ETH centred portfolio. Like it or not, this market is still Bitcoin dominated and despite the many proponents of an ETH flippening (myself included), it is quite likely that we will not see it this cycle due to the macro investing environment favouring assets which are good stores of value to weather the uncertainty. Ultimately, Bitcoin has the best store of value meme in crypto and that will be very powerful in the coming years.
I think it is likely that the time for Ethereum or a network like Ethereum with a yielding asset (ETH under ETH 2.0) and a native economy of DeFi, DApps, NFTs and much more will be once all of the stock market uncertainty is over and investors are ready to take on more risk again. I am of course still expecting Ethereum and altcoins to outperform Bitcoin this cycle. However, I think that Bitcoin losing the number 1 spot will be more likely to happen between 2023 and 2030 rather than in the next 2-3 years. I hope I am wrong though.
While most of the indicators on Looking into Bitcoin are useful, I will list the ones I’ll be focusing on the most here:
And finally my favourite, the Golden Ratio Multiplier. This indicator has been remarkably accurate at predicting tops using the golden ratio (1.6) and the fibonacci sequence (0, 1, 1, 2, 3, 5, 8, 13, 21) multiplied by the 350 day moving average. With each market cycle, the 350 day moving average is multiplied by the next number down in the fibonacci sequence. For example, the 2013 peak only just passed above the 350 day moving average multiplied by 8 and the 2017 bull market just touched the 350 day moving average multiplied by 5. So if this indicator is to work in the next cycle, we can expect the price to slightly exceed 3 times the value of the 350 day moving average. This indicator also worked for Ethereum in the 2017 bull run. While there is no graph for it, on the 13th of January, when ETH hit a peak of $1,419, the 350 day moving average was at $270. $270 multiplied by 5 is $1,350. If you sold at $1,350 you sold incredibly close to the top and I don’t think that any macro traders/long term traders would complain about that timing.
I’d like to note that while indicators like the Golden Ratio Multiplier factors in for less explosive growth each cycle, not all of the above indicators do. So be cautious of this when you think the peak is near as it may be closer than you think. In saying that, there is a lot of luck involved so I should also point out that it also might not be closer than you think. However, it would be better to sell before the peak at say $10,000/BTC as of 2017 than to be left holding all of your crypto when the bear market begins since Bitcoin didn’t spend much time above $10,000/BTC after the $20K peak. Ultimately it is up to you to decide your risk appetite and how well you want to try and time the market. For me, I will definitely be on the conservative side so that I don’t miss the boat completely and hopefully I will be able to sell most of my crypto just before we peak rather than afterwards.

Risk Management

Since timing the top requires a lot of luck, a good method of mitigating the risk is to spread out when you sell. I’m going to share with you my personal strategy but I recommend that you create your own strategy or use this as a basis from which you can use to adjust and tweak it to optimally suit your situation. If you have a large stack, you will probably want to sell early since you might not need such spectacular gains to lock in some life changing money. On the other hand, if you have a smaller stack or if you are younger, you can afford to take more risk and might want to try and time the absolute peak a bit better to get that much closer to making some life changing money. Personally, while my stack isn’t very big in dollar terms, it is a significant % of my net worth and so I don’t have a high risk tolerance with it (at least relative to other people in crypto!) For this reason I will be selling a little bit on the early side.
My plan has three pots of crypto. 20% of my crypto I will hold indefinitely since I very strongly believe in the long term prospect of ETH and BTC as investments. This way if I time the markets terribly, I will always have some skin in the crypto game. The second pot of crypto is 40% which I will sell on the way up to take some profits and I don’t intend on putting this money back into crypto. Initially I will be selling very small amounts of this 40% and as the indicators listed above get closer and closer to calling a top, I will sell larger proportions of this crypto. I haven’t set specific target numbers since things change fast in this space and I feel like the best decisions in this case are made in the moment. For example, estimating a market top is hard when it is 2-3 years away, but it is much easier when it is just months or weeks away. Once again, this is just personal preference. Many of you will find that setting targets now makes it easier for you to pull the trigger and take some profits when everyone else is calling $1M BTC while it is at $100K or calling for $100K ETH when the current price might be $10K.
Finally, the last 40% I will sell all at once when I feel like we are at the top and I am confident that the price will be lower a year on from that point in time. With this 40% I will try and buy back during the bear market with the help of many of the same indicators I listed above from Look into Bitcoin. I will also use some indicators which I didn’t mention above since some are better designed at identifying market bottoms. My goal is to be able to buy back the number of BTC and ETH I held before I sold anything with this 40% (plus the 20% I didn’t sell). This is a big ask but it is better in life to set hard goals that seem unattainable or unrealistic than it is to set easy goals.
To summarise my portfolio strategy, 20% of my portfolio is an indefinite hold, 40% I will sell on the way up and I do not intend on buying back into crypto with this money so I can avoid being over-exposed to crypto. The last 40% I will use to try and sell the top and buy the bottom.

Closing Notes

As a closing note I would like to say that it will be important to be aware of the power of greed and FOMO. Do not under-estimate these emotions and try to remain a grounded and rational investor. Don’t be scared to take profits. I know from experience trading altcoins that it is better to exit a position early and miss out on another 100% price increase than it is to hold through a bear market and take >90% losses. If you go into this bullrun telling yourself you will take profits on the way up, you will have no reason to regret any early sales since you will know that you made a rational trade and not an emotional trade.
submitted by Tricky_Troll to CryptoCurrency [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]

A trading system based on indicator CCI

A trading system based on indicator CCI
Wikipedia Commodity channel index
Commodity Index indicator is very simple in fact, though it has such a fancy name. Indicators in TSLab are based on C#. For those who have programming skills we provide API and indicator code samples at our Forum. CCI is available in TSLab as other indicators as well, but I would like to demonstrate a self-made one built according to wiki formulas. It is very easy to build new indicators by means of TSLab. CCI consists of Typical Price and Simple Moving Average. TSLab already has all to create CCI, but I showed in the indicator how to create Typical Price and Simple Moving Average. I urge you to study indicators. Making changes to indicators you get a chance to create a better one. Here is a customized CCI indicator. I applied adaptive moving average instead of simple moving average. And I applied exponential average instead of typical price. The chart in the middle shows the original CCI and the self-made one. As you may see their values are identical, as CCI in TSLab is done as it is described in wiki.

https://preview.redd.it/qyo63qnda5q51.png?width=1128&format=png&auto=webp&s=01c60fb93ad72dc72d024fb83aec4ec0d99b40ab
The lowest chart shows the customized indicator. It has clearly seen divergences.

https://preview.redd.it/f3c8vruha5q51.png?width=1913&format=png&auto=webp&s=e8a7aac86d88575907d8792e45e108e1bacb0cfb
Though it is not so unstable as the original one, it seems to be more flat. Wiki offers 2 types of strategies, saying that there are different points of view on this indicator. To build these strategies I am going to use my customized indicator instead of the original one. Some people think that in case with long positions we should buy, when CCI is higher than 100 and sell, when it is lower than 100. And for short positions – Sell when CCI is lower than -100 and close a short position, when CCI is higher than -100. For example this strategy doesn’t seem to be profitable with bitcoin at all.

https://preview.redd.it/xpgqp5xla5q51.png?width=1919&format=png&auto=webp&s=49fa5366938ef780d95c227ec1d549f6a8047077
Other people recommend using zero value as a signal calling this strategy Zero CCI. It means - buy (open a long position or close a short position), when Commodity Index is higher than zero or sell (close a long position, open a short position), when CCI is below zero.

https://preview.redd.it/gyisxbiqa5q51.png?width=1917&format=png&auto=webp&s=1885c903401b9eae93e58772ea46145a2605e47f
Let’s build a script which comprises both variants and resolve the dispute by means of optimization. If we think a bit we can see that there is one more strategy besides these two, this is to use average of CCI instead of signal lines. And we can at least combine all three strategies together. For example, we can enter a position at about zero point. And close long positions when CCI crosses its average, when the indicator is higher than 100 and lower than -100 for short positions. My customized indicator won’t do for this strategy because of divergences. The original one won’t do either as it is not stable and there can be many false signals. Try to create an indicator as flat as mine or even better but with fewer divergences.
Good luck to everyone!
submitted by AlGo- to TSLab [link] [comments]

Everything you need to know about technical analysis in crypto trading

Everything you need to know about technical analysis in crypto trading
Hello, community! 👋🏻 In this post, we will tell you about technical analysis.
📊 There are three main schools for analyzing cryptocurrencies or any other asset. These are fundamental analysis, technical analysis and sentiment analysis. Technical analysis is the main method in crypto trading.
📈 Technical analysis (or TA for short) is the art of predicting price movement through the study of charts that show how an asset has traded in the past. You need to find and compare patterns that have been encountered earlier. It is assumed that past models are highly likely to work in the future.
The number of methods used by technical analysis is very large. But they are broken down into several fairly specific classes:
🔹 Levels and lines of resistance and support
🔹 Technical Indicators
🔹 Figures (patterns) on large areas of the chart
🔹 "Candlestick analysis" - patterns on Japanese candlesticks or bars in short areas
🔹 Trade statistics - volumes, order books, etc.
TA was originally developed for markets where trading has a long history and a large amount of data. TA outperforms analysis based on business fundamentals, according to an extensive 2015 study by three Israeli researchers.
Many traders say that TA is even more important in cryptocurrencies, as no one can yet confidently determine the fundamental value of Bitcoin, which was launched just 11 years ago. Is it a hedge against inflation, a digital form of gold? The future of money? It can be all of the above.
⚙️ Technical analysis is a key part of an asset management strategy, and it works well when combined with news analysis to identify likely move patterns and up / down limits. Since cryptocurrencies are highly volatile and speculative, technical analysis provides key indicators of price movement, especially support and resistance.
✅ With the help of technical analysis, it is good to predict where the price will move next. Take advantage of the BITLEVEX platform to build your crypto capital.
✅ BITLEVEX is a secure and reliable trading platform that gives you the opportunity to earn big. You can make up to 500% profit within 24 hours! And there are no deposit and withdrawal fees!
🔥 Hurry up and register now: https://bitlevex.com
https://preview.redd.it/fnivq596mpo51.png?width=1920&format=png&auto=webp&s=350b387236f5e9d033f4f5518bd4936d80cfd5ed
submitted by VS_community to BITLEVEX [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]

Help with scraping interactive chart error: unable to locate element (Selenium)

Hey guys, I'm currently trying to scrape the values (date and the index value) off the chart located here: https://www.mvis-indices.com/indices/digital-assets/mvis-cryptocompare-bitcoin-select-spot
The issue i end up running into is when i try and locate the date and value, i get the error: unable to locate element. I would appreciate any help. My code is as follows:
import selenium from selenium import webdriver from selenium.webdriver.chrome.options import Options from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.by import By from selenium.webdriver.common.action_chains import ActionChains from selenium.webdriver.common.keys import Keys from time import sleep import datetime as dt import pandas as pd import datetime from datetime import date date_today=date.today()-datetime.timedelta(5) dt_string = date_today.strftime("%d%m%y") #setting up webdrive PATH = "C:\Program Files (x86)\chromedriver.exe" driver = webdriver.Chrome(PATH) #opening the connection and grabbing the page my_url="https://www.mvis-indices.com/indices/digital-assets/mvis-cryptocompare-bitcoin-select-spot" driver.get(my_url) driver.maximize_window() #initializing the action object action = webdriver.ActionChains(driver) #deselect normalize check_box=WebDriverWait(driver,20).until(EC.presence_of_element_located((By.XPATH,'/html/body/section [3]/div/div[2]/div/div/div[3]/div/div/div/div[1]/ul[2]/li/label/input'))) check_box.click() #grabbing the element and its size and location element=WebDriverWait(driver,20).until(EC.presence_of_element_located((By.XPATH,'/html/body/section[3] /div/div[2]/div/div/div[3]/div/div/div/div[2]'))) loc=element.location size=element.size print(loc) print(size) #move the cursor to extreme right of the object sleep(5) action.move_to_element(element).perform() sleep(2) action.move_by_offset(323,0).perform() #getting the first date and value pair date_2=driver.find_element_by_xpath('/html/body/section[3]/div/div[2]/div/div/div[3]/div/div/div/div[2] /div/svg/g[15]').text value=driver.find_element_by_xpath('/html/body/section[3]/div/div[2]/div/div/div[3]/div/div/div/div[2] /div/svg/g[17]').text #setting up the dictionary time_serie={} time_serie[date_2]=value print(date_2,value) 
submitted by Messist11 to learnpython [link] [comments]

The Mysterious Entity that Caused the Bitcoin Network fees to Jump 146% in May

The Mysterious Entity that Caused the Bitcoin Network fees to Jump 146% in May
May 25, 2020
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Bitcoin price has yet again taken a dive to $8,800, recording a drop of 4%.
Meanwhile, Network Demand Score which is a metric incorporating network velocity, transaction value, fees, and miner’s rolling inventory, climbed to 6/6 following the bitcoin halving meaning the network is growing stronger which could also be a sign that “we’re in a longer-term bull market.”
Since March 12th, just before the massive sell-off, this score has remained above a 3/6 reflecting growing strength in network activity and instilling confidence in the ongoing uptrend for the bitcoin price.
3 Reasons why fees skyrocketed
One component of this indicator, bitcoin on-chain fees has been surging like crazy.
Last week, Bitcoin average transaction fee climbed to $7, last seen in February 2018. This has the miner revenues from fees rising to the levels not seen for more than 2 years. But this week, it also dropped 55% to $3.13.
The increase in transaction fees, which is increasingly becoming more important for Bitcoin network security, has been because of the unconfirmed transactions piling on in mempool.
A decline in hash rate following halving caused fewer blocks to be found and will continue until the next difficulty adjustment has been one of the reasons behind this jump in fees.
The other reason is the large fluctuations in bitcoin price which has traders sending coins between exchanges.
Ather reason is a “mysterious entity which has been consolidating outputs at the highest fee rates, driving up fees for everyone,” pointed out Serrrgej Kotliar, CEO Bitrefill.
Who is this “Crazy1o1”?
Over the weekend Kotliar shared how, for the past 14 days, this mysterious entity has consolidated a lower-bound of 720 thousand outputs, 5 MB per day, more than BitMEX.
Since May 1st, this entity named “Crazy1o1” has spent around 804k UTXOs and has paid more than 104BTC in mining fees during this time, noted Laurent.
“On some days, these fees are equivalent to 10-12% of all the fees received by miners,” he said.
Laurent along with others suspect this entity to be the cryptocurrency exchange Coinbase.
Earlier this month, it was also found that crypto derivatives exchange BitMEX is making the bitcoin network expensive for everyone and its own users are paying 6.8% of total daily transaction fees.
Prepare for the next bull market
All of this a “decent fire drill for what might happen if we see another bull market,” said Kotliar. Grubles from Blockstream said,
“ON-CHAIN FEES AND BTC PRICE MOVEMENTS CHART. YOU CAN SEE THAT BIG MOVEMENTS RESULT IN PEOPLE RUSHING TO TRANSACT (ALMOST CERTAINLY TO/FROM EXCHANGES), PUSHING FEES UP FOR OTHER NON-TRADER USERS WHO NEED UNCENSORABLE / IRREVERSIBLE TRANSACTIONS.”
The fees reached its all-time high at over $55 during the peak of the bull market in December 2017. As such in the next bull market, a 5x growth in on-chain transactions should be expected.
But given that batching, one of the many ways the network has been scaled is here, it will prevent the pressure on the network from getting worse than 2017. But exchanges will need to be prepared for this.
submitted by kealenz to BitcoinMarkets [link] [comments]

Help with scraping interactive chart error: unable to locate element (Python)

Hey guys, I'm currently trying to scrape the values (date and the index value) off the chart located here: https://www.mvis-indices.com/indices/digital-assets/mvis-cryptocompare-bitcoin-select-spot
The issue i end up running into is when i try and locate the date and value, i get the error: unable to locate element. I would appreciate any help. My code is as follows:
import selenium from selenium import webdriver from selenium.webdriver.chrome.options import Options from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.by import By from selenium.webdriver.common.action_chains import ActionChains from selenium.webdriver.common.keys import Keys from time import sleep import datetime as dt import pandas as pd import datetime from datetime import date date_today=date.today()-datetime.timedelta(5) dt_string = date_today.strftime("%d%m%y") #setting up webdrive PATH = "C:\Program Files (x86)\chromedriver.exe" driver = webdriver.Chrome(PATH) #opening the connection and grabbing the page my_url="https://www.mvis-indices.com/indices/digital-assets/mvis-cryptocompare-bitcoin-select-spot" driver.get(my_url) driver.maximize_window() #initializing the action object action = webdriver.ActionChains(driver) #deselect normalize check_box=WebDriverWait(driver,20).until(EC.presence_of_element_located((By.XPATH,'/html/body/section [3]/div/div[2]/div/div/div[3]/div/div/div/div[1]/ul[2]/li/label/input'))) check_box.click() #grabbing the element and its size and location element=WebDriverWait(driver,20).until(EC.presence_of_element_located((By.XPATH,'/html/body/section[3] /div/div[2]/div/div/div[3]/div/div/div/div[2]'))) loc=element.location size=element.size print(loc) print(size) #move the cursor to extreme right of the object sleep(5) action.move_to_element(element).perform() sleep(2) action.move_by_offset(323,0).perform() #getting the first date and value pair date_2=driver.find_element_by_xpath('/html/body/section[3]/div/div[2]/div/div/div[3]/div/div/div/div[2] /div/svg/g[15]').text value=driver.find_element_by_xpath('/html/body/section[3]/div/div[2]/div/div/div[3]/div/div/div/div[2] /div/svg/g[17]').text #setting up the dictionary time_serie={} time_serie[date_2]=value print(date_2,value) 
submitted by Messist11 to selenium [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.
submitted by warproxxx to BitcoinMarkets [link] [comments]

Understanding the RSI (Relative Strength Index)

Understanding the RSI (Relative Strength Index)
The Relative Strength Index (RSI), is one of the most popular indicators used in Technical Analysis. Firstly Introduced in J. Welles Wilder’s book, “New Concepts in Technical Trading Systems”, the RSI is a momentum oscillator that measures the velocity of directional price movement and scaled between 0-100. In the classic view, security is thought to be overbought when its RSI reading is above 70 and oversold when its RSI reading falls below 30.

# How is it Calculated?

The equation for the Relative Strength Index, RSI, is:
RSI Formula
For the first calculation of the Relative Strength Index, RSI, we need the previous 14 day’s close prices. The initial RSI is calculated as follows:
  1. Obtain the sum of the UP closes for the previous 14 days and divide this sum by 14. This is the average UP close.
  2. Obtain the sum of the DOWN closes for the previous 14 days and divide this sum by 14. This is the average DOWN close.
  3. Divide the average UP close by the average DOWN close. This is the Relative Strength (RS).
  4. Add 1.00 to the RS.
  5. Divide the result obtained in Step (4) Into 100 (100 is the nominator).
  6. Subtract the result obtained in Step 5 from 100. This is the first RSI.
From this point on, it is only necessary to use the previous average UP close and the previous average DOWN close in the calculation of the next RSI.

# How to Use it Correctly

If used properly, the RSI can be a very valuable tool in interpreting chart movement.
Tops and Bottoms: These are indicated when the Index goes above 70 or below 30. The Index will usually top out or bottom out before the actual market top or bottom, giving an indication that a reversal or at least a significant reaction is imminent.
Failure Swings: When the RSI crosses down the 70 level and rebounds back up yet fails to reach the previous high. The low point made when the RSI rebounded is considered as a potential short entry point when the RSI moves below this level. Conversely, when the RSI crosses up over the 30 level and rebounds back down but fails to move as low as the previous low reading, it is a failure swing. The peak made when the RSI rebounded is considered a potential long entry point when the RSI moves above this level.
Support and Resistance: Areas of support and resistance often show up clearly on the RSI before becoming apparent on the bar chart. In fact, support and resistance lines drawn using the RSI points are often analogous to trend lines drawn using bar chart points.
Divergence: Divergence between price action and the RSI is a very strong indicator of a market turning point. Divergence occurs when the RSI is increasing while the price movement is either flat or decreasing. Conversely, divergence occurs when the RSI is decreasing price movement is either flat or increasing.
Here is an example of a bullish divergence on BTC/USD (Bitcoin) which signaled the bullish trend occurred after that:

RSI Example
As you can see, a bullish divergence formed in November-December of 19. The bullish divergence formed with Bitcoin moving to new lows in December and RSI holding above its prior low. The mid-December breakout confirmed improving momentum. Divergences tend to be more robust when they form after an overbought or oversold reading.

# Summary

The Relative Strength Index (RSI), used in conjunction with a bar chart, can provide a new dimension of interpretation for the chart trader. No single tool, method or system is going to produce the right answers 100% of the time. A successful trader utilizes several different kinds of input into his decisions. The Relative Strength Index can be a valuable input to your toolbox and into your decision-making process.
  • The RSI is a momentum oscillator (oscillator is a line graph that moves between two extremes).
  • It is scaled between 0 – 100.
  • When the RSI reading is above 70 it usually considered overbought and when it falls below 30 it usually considered oversold.
  • The standard is to use 14 periods to calculate the initial RSI value, but you can choose the time frame you think fit the most.
Originally written at:
https://www.iam-unchained.com/trading/investing-learn/relative-strength-index-understanding-rsi/
submitted by Onah92 to technicalanalysis [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]

Bittrex Review: One of the First Crypto Exchanges| Final Part

Bittrex Review: One of the First Crypto Exchanges| Final Part

4. Transaction Fees

Transferring funds across the blockchain and withdrawing them from Bittrex costs a fee for customers, with the rate unique for every coin.
Bittrex Global charges no commission for deposits. Please keep in mind that some tokens or cash may be required to perform a transaction by a crypto coin or token’s community. Bittrex crypto exchange can’t keep away from it.
Every token or coin has a blockchain transaction fee that is built in it, and the Bittrex fee is a small amount to cover this charge. You can view the fee percentage for every coin or token by clicking Withdrawal near to the coin. There you will see a transaction fee you will be charged for withdrawing a specific coin or token.
In the example below, the withdrawal fee amounts to 1 USDT
https://preview.redd.it/209uz2p64zh51.jpg?width=974&format=pjpg&auto=webp&s=9ee9355c4d75d41931a3073b8a230bd1ffddaf08
The transaction fee for Bitcoin came to 0.00050000 BTC
https://preview.redd.it/vh7zbe884zh51.jpg?width=974&format=pjpg&auto=webp&s=e6293650b46a7e0ba661478bd2467471b8b213f9

5. Trading Fees

The fee schedule below provides the applicable rate based on the account's 30-Day Volume and if the order is a maker or taker.
Bittrex Global Fee30 Day Volume (USD)MakerTaker$0k - $50k0.2%0.2%$50k - $1M0.12%0.18%$1M - $10M0.05%0.15%$10M - $60M0.02%0.1%$60M+0%0.08%>$100MContact TAM representative
Trading expenses are incurred when an order is prepared by means of the Bittrex worldwide matching engine. While an order is being executed, the purchaser and the vendor are charged a rate primarily based on the order’s amount. The fee charged by Bittrex exchange is calculated by the formula amount * buy rate * fee. There aren't any charges for placing an order which is not being executed so far. Any portion of an unfinished order will be refunded completely upon order cancelation.
Prices vary depending on the currency pair, monthly trade volume, and whether the order is a maker or taker. Bittrex reserves the right to alternate fee quotes at any time, including offering various discounts and incentive packages.

Monthly Volume

Your buying and selling volume affects the fee you pay for every order. Our expenses are built to encourage customers who ensure liquidity in the Bittrex crypto exchange markets. Your buying and selling charges are reduced according to your trade volume for the last 30 years in dollars.
Bittrex calculates the 30-day value every day, updating every account's volume calculation and buying and selling charge between of 12:30 AM UTC and 01:30 AM UTC every day.
You can check your monthly trade volume by logging in and opening Account > My Activity.
https://preview.redd.it/n1djh2ob4zh51.jpg?width=974&format=pjpg&auto=webp&s=2eebb9c9ac63de207c4dd2e49bc45aeb53a8dec8

6. Withdrawing Funds

Withdrawing any type of funds is likewise simple. You can profit by buying and selling Bitcoin, Ether, or any other cryptocurrency.
You determine the crypto address—to which the amount will be credited—and the transaction amount. The withdrawal fee will be automatically calculated and shown right away.
After confirming the transaction, the finances will be sent to the specified addresses and all that you need to do is to wait for the community to confirm the transaction.
If the 2FA is enabled, then the user receives a special code (via SMS or application) to confirm the withdrawal.

7. How to Trade on Bittrex Global

Currency selling and buying transactions are performed using the Sell and Buy buttons, accordingly.
To begin with, the dealer selects a currency pair and sees a graph of the rate dynamics and different values for the pair.
Below the chart, there is a section with orders where the user can buy or sell a virtual asset.
To create an order, you just need to specify the order type, price, and quantity. And do not forget about the 0.25% trade fee whatever the quantity.
For optimum profit, stay with liquid assets as they can be quickly sold at a near-market rate effective at the time of the transaction. Bittrex offers no referral program; so buying and selling crypto is the easiest way to earn.
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Order Types

Bittrex helps you alternate Limit and Stop-Limit orders.
A limit order or a simple limit order is performed when the asset fee reaches—or even exceeds—the price the trader seeks. To execute such an order, it is required that there's a counter market order on the platform that has the identical fee as the limit order.

Differences between Limit Order and Stop Limit Order

A stop limit order is a mixture of a stop limit order and a limit order. In such an application, charges are indicated—a stop charge and the limit.

Stop Limit Order Purpose

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Trade Terminal

Let’s discuss how you could trade conveniently with our service.
The key features include a user-friendly interface and precise currency pair statistics (timeframe graphs, network data, trade volumes, and so forth).
The platform’s top-notch advantage is handy, easy-to-analyze, customizable charts. There is also a column for quick switching between currency pairs and an order panel beneath the fee chart. Such an all-encompassing visual solution helps compare orders efficiently and in one place.
You can use the terminal in a day or night mode; when in the night mode, the icon in the upper-right corner changes and notice the Bittrex trading terminal in night mode is displayed. The main menu consists of 4 sections: Markets, Orders, Wallets, Settings.
Markets are the trade section. Bittrex allows handling over 270 currency pairs.
Orders. To see all open orders, go to OrdersOpen.
To see completed orders, go to OrdersCompleted.
Wallets. The Wallets tab displays many wallets for all cryptocurrencies supported by the exchange and the current balance of each of them.
After refilling the balance or creating a buy or sale order, you will see all actions in the section. Bittrex allows creating a separate wallet for every coin. Additionally, you can see how the coin price has changed, in terms of percentage, throughout the day.
Here’s what you can also do with your wallets:
  • Hide zero balances: hide currencies with zero balance
  • Green and red arrows: replenish balance/withdraw funds
  • Find: search for a cryptocurrency
The Settings section helps manage your account, verification, 2FA, password modification, API connection, and many more.

How to Sell

The process of selling crypto assets follows the same algorithm. The only difference is that after choosing the exchange direction, you need to initiate a Sell order. All the rest is similar: you select the order type, specify the quantity and price, and click Sell *Currency Name* (Sell Bitcoin in our case).
If you scroll the screen, the entire history of trades and orders will be displayed below.

LONG and SHORT

You can make a long deal or a short deal. Your choice depends on whether you expect an asset to fall or rise in price.
Long positions are a classic trading method. It concerns purchasing an asset to profit when its value increases. Long positions are carried out through any brokers and do not require a margin account. In this case, the trader’s account must have enough funds to cover the transaction.
Losses in a long position are considered to be limited; no matter when the trade starts, the price will not fall below zero with all possible errors. Short positions, in contrast, are used to profit from a falling market. A trader buys a financial instrument from a broker and sells it. After the price reaches the target level, the trader buys back the assets or buys them to pay off the initial debt to the broker.
A short position yields profit if the price falls, and it is considered unprofitable the price matches the asset value. Performing a short order requires a margin account as a trader borrows valuable assets from a broker to complete a transaction. Long transactions help gain from market growth; short from a market decline.

Trade via API

Bittrex also supports algorithmic trading through extensive APIs (application programming interface), which allows you to automate the trading process using third-party services.
To create an API key, the user must enable the two-factor authentication 2FA, verify their account, and log in to the site within 3 minutes.
If all the requirements of the system are fulfilled, you can proceed to generate the API key. Log in to your Bittrex account, click Settings. Find API Keys. Click Add new key (Create a new key).
Toggle on / off settings for READ INFO, TRADE, or WITHDRAW, depending on what functionality you want to use for our API key.
Click Save and enter the 2FA code from the authenticator → Confirm.
The secret key will be displayed only once and will disappear after the page is refreshed. Make sure you saved it!
To delete an API key, click X in the right corner for the key that you want to delete, then click Save, enter the 2FA code from the authenticator and click Confirm.

Bittrex Bot, a Trader’s Assistant

Robotized programs that appeared sometimes after the appearance of cryptocurrency exchanges save users from monotonous work and allow automating the trading process.
Bots for trading digital money work like all the other bots: they perform mechanical trading according to the preset parameters.
Currently, one of Bittrex’s most popular trading bots is Bittrex Flash Crash Buyer Bot that helps traders profit from altcoin volatility without missing the right moment.
The program monitors all the market changes in the market every second; also, it even can place an order in advance. The Bittrex bot can handle a stop loss—to sell a certain amount of currency when the rate changes in a favorable direction and reaches a certain level.

8. Secure Platform

Bittrex Global employs the most reliable and effective security technologies available. There are many cases of theft, fraud. It is no coincidence that the currency is compared to the Wild West, especially if we compare the 1800s when cowboys rushed to the West Coast of America to earn and start something new in a place that had no rules.
Cryptocurrency is still wild. One can earn and lose money fast. But Bittrex has a substantial security policy thanks to the team’s huge experience in security and development for companies such as Microsoft, Amazon, Qualys, and Blackberry.
The system employs an elastic, multi-stage holding strategy to ensure that the majority of funds are kept in cold storage for extra safety.
Bittrex Global also enables the two-factor authentication for all users and provides a host of additional security features to provide multiple layers of protection.
Bittrex cold wallet: https://bitinfocharts.com/en/bitcoin/address/385cR5DM96n1HvBDMzLHPYcw89fZAXULJP

How to Pass IP Verification

To ensure higher security of your Bittrex Global account, the system requires all users to approve each new IP address through an email confirmation. This IP verification procedure is required every time you attempt to log in from a new IP Address.
Confirming your IP address.
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The new IP address must be confirmed from the device that you are using to access Bittrex Global. This means that you must follow the CLICK HERE TO LOGIN link in an email on the device that you want to use to access your account.
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To ensure even more security, Bittrex Global supports whitelisting of IP addresses and Crypto addresses. These two features can help protect the account in the event of credentials or API key loss.

How to Add IP Address to Whitelist

By setting one or more whitelisted addresses, you are telling Bittrex Global to only authorize trades or withdrawals from those IPs. This concerns both the global.bittrex.com web interface and API-based trades or withdrawals. To do this, click IP Whitelist in Site Settings.
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How to Add Crypto Address to Whitelist

By setting a withdrawal address, you are telling Bittrex Global to authorize withdrawals only to that address.
This concerns both the global.bittrex.com web interface and API based withdrawals.
Note that when opting into this feature, you need to specify a withdrawal address would like to withdraw funds from for every currency. To do this, click Withdrawal Whitelist in the Site Settings section. The example below shows a BTC address.
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Afterword

Bittrex Global is a reliable and advanced platform for trading digital assets with a respected reputation, long history, and active market presence and development nowadays. The exchange is eligible to be used globally, including the US and its territories.
The legal component of Bittrex Global is one of the most legitimate among numerous crypto-asset exchanges.
The Bittrex team has had great ambitions and managed to deliver promises and more. The exchange staff comprises forward-thinking and exceptional individuals whose success is recognized in the traditional business and blockchain sector.
Bittrex's purpose is to be the driving force in the blockchain revolution, expanding the application, importance, and accessibility of this game-changing technology worldwide.
The exchange fosters new and innovative blockchain and related projects that could potentially change the way money and assets are managed globally.
Alongside innovation, safety will always be the main priority of the company. The platform utilizes the most reliable and effective practices and available technologies to protect user accounts. Bittrex customers have always primarily been those who appreciate the highest degree of security.
Because of the way the Bittrex trading platform is designed, it can easily scale to always provide instant order execution for any number of new customers.
Bittrex supports algorithmic trading and empowers its customers with extensive APIs for more automated and profitable trading.
One of the common features which is not available on the exchange is margin trading. No leverage used however adds up to the exchange's stability and prevents fast money seekers and risky traders from entering the exchange.
Bittrex is a force of the blockchain revolution and an important entity of the emerging sector.
The full version
First part
Second part
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The Mysterious Entity that Caused the Bitcoin Network fees to Jump 146% in May

Bitcoin price has yet again taken a dive to $8,800, recording a drop of 4%.
Meanwhile, Network Demand Score which is a metric incorporating network velocity, transaction value, fees, and miner’s rolling inventory, climbed to 6/6 following the bitcoin halving meaning the network is growing stronger which could also be a sign that “we’re in a longer-term bull market.”
Since March 12th, just before the massive sell-off, this score has remained above a 3/6 reflecting growing strength in network activity and instilling confidence in the ongoing uptrend for the bitcoin price.
3 Reasons why fees skyrocketed
One component of this indicator, bitcoin on-chain fees has been surging like crazy.
Last week, Bitcoin average transaction fee climbed to $7, last seen in February 2018. This has the miner revenues from fees rising to the levels not seen for more than 2 years. But this week, it also dropped 55% to $3.13.
The increase in transaction fees, which is increasingly becoming more important for Bitcoin network security, has been because of the unconfirmed transactions piling on in mempool.
A decline in hash rate following halving caused fewer blocks to be found and will continue until the next difficulty adjustment has been one of the reasons behind this jump in fees.
The other reason is the large fluctuations in bitcoin price which has traders sending coins between exchanges.
Ather reason is a “mysterious entity which has been consolidating outputs at the highest fee rates, driving up fees for everyone,” pointed out Serrrgej Kotliar, CEO Bitrefill.
Who is this “Crazy1o1”?
Over the weekend Kotliar shared how, for the past 14 days, this mysterious entity has consolidated a lower-bound of 720 thousand outputs, 5 MB per day, more than BitMEX.
Since May 1st, this entity named “Crazy1o1” has spent around 804k UTXOs and has paid more than 104BTC in mining fees during this time, noted Laurent.
“On some days, these fees are equivalent to 10-12% of all the fees received by miners,” he said.
Laurent along with others suspect this entity to be the cryptocurrency exchange Coinbase.
Earlier this month, it was also found that crypto derivatives exchange BitMEX is making the bitcoin network expensive for everyone and its own users are paying 6.8% of total daily transaction fees.
Prepare for the next bull market
All of this a “decent fire drill for what might happen if we see another bull market,” said Kotliar. Grubles from Blockstream said,
“ON-CHAIN FEES AND BTC PRICE MOVEMENTS CHART. YOU CAN SEE THAT BIG MOVEMENTS RESULT IN PEOPLE RUSHING TO TRANSACT (ALMOST CERTAINLY TO/FROM EXCHANGES), PUSHING FEES UP FOR OTHER NON-TRADER USERS WHO NEED UNCENSORABLE / IRREVERSIBLE TRANSACTIONS.”
The fees reached its all-time high at over $55 during the peak of the bull market in December 2017. As such in the next bull market, a 5x growth in on-chain transactions should be expected.
But given that batching, one of the many ways the network has been scaled is here, it will prevent the pressure on the network from getting worse than 2017. But exchanges will need to be prepared for this.
submitted by kealenz to btc [link] [comments]

08-15 09:34 - 'What is Bitcoin and what is the bitcoin chart?' (self.Bitcoin) by /u/Jonescrystal122 removed from /r/Bitcoin within 29-39min

'''
Bitcoin is one of the most famous cryptocurrencies created in 2009.
Bitcoin is a digital asset, not a physical property.
It is protected by mathematical encryption algorithms.
It is the world's first digital currency that allows instant payment.
Currently, one bitcoin is priced at $3,573.36 (at the time of writing).
Bitcoin is known to be the digital currency most favored by crypto supporters.
Bitcoin can also be used as an alternative to national fiat currencies and traditional commodities such as gold.
Bitcoins can be bought on bitcoin exchanges, mined or otherwise earned.

If you pursue the security of investment, you can choose bitcoin, Ethereum and other mainstream currencies with high maturity.
If you can bear high risks and want to pursue high returns, you can consider some new currencies with low maturity and huge space for future growth.
You can start from the market value of the mainstream currency to start their own investment practice.
This kind of mainstream currency, has been widely recognized by the market, consistent application space is large, the currency price is relatively more stable.

Buy the time must grasp well, pay attention to the trend of the market, buy at the right time, investment digital currency also has a certain risk, luck also occupied a large part, pay attention to the overall volatility cycle, in order to choose the right price entry.
Especially for those who focus on long-term value investment, it is very important to choose a reasonable price to buy the time.

What about the Bitcoin chart?
How to analyze the Bitcoin chart?
Bitcoin chart analysis tutorial

  1. Dayang line

Dayang line for a red solid column, the highest price is the closing price, the lowest price is the opening price, the general appearance of dayang line indicates that there will be a wave of prices.

  1. Positive line

The middle line has an upper and lower shadow, which represents pressure and the lower shadow represents support.
The longer the line, the higher the price pressure, on the other hand, the longer line represents the lower support, the price is not easy to go down.

  1. Bald head line

Baldheaded Yang line has no shadow line only, indicating that the lower support is strong, generally indicates a good market in the later period.

  1. Bare feet

Bare feet above the line shadow line, the stock price rise in the process of being short side pressure, a breakthrough pressure.

  1. Small positive line

Small Yang line indicates that both sides of the game to kill a fierce, each other devour, do not give in.

  1. Cross star

The cross star finally closed the opening and closing prices are flat, the future market is not clear, to continue to wait and see.

  1. T-shaped line

There are two types of T-lines, the first indicating a strong air force and the second indicating a positive multilateral uplift.

Through the above introduction, believe everybody for the currency chart analysis tutorial, reminding investors here, whether they believe in technical analysis, it is necessary to understand charts are, exclude technical graphics, indicators, long-short game this issues aside, the currency of the information on the level of prices, volume, etc, can fully reflected in the graph, therefore understand the currency chart can reduce the probability of investors lose everything.
'''
What is Bitcoin and what is the bitcoin chart?
Go1dfish undelete link
unreddit undelete link
Author: Jonescrystal122
submitted by removalbot to removalbot [link] [comments]

Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

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