Regression lines suggest the BTC top is around 17k for 2020Moore's law has tought us that historic evolutionary patterns are happening 10 times faster after each new technological or scientific breakthrough when it hits the mainstream public worldwide. This breakthrough is then followed by a parabolic and very bubbly event, only to face a dozens month old bloody correction, while finally allowing the new market to mature as it becomes adopted and globally regulated. The end result causes yesterday's all time highs to become tomorrow's new bottoms. But what history has shown is that only a few select will rank above everything else and this will only take place when the potential promise of a strong vision is fulfilled on a global scale changing humanity's habits in a way we never thought possible.
The last time a transition like the one I'm describing above happened was between 1984 and 2020. This has been a time of great change that started when Nasdaq introduced the internet to the world as early as the 1980s. When the Soviet Union was falling and the Berlin wall fell a new world was being reshaped thanks to the start of the internet era. These highlights preceded another historic event 2 decades later. Of course, we've all heard about 9/11 and how it paralized the entire world in 2001. After the dust settled, it took the internet market almost 6 years to hit the peak of a sucker's relief rally and mark the end of the dotcom bubble burst. The parabolic unexpected rise that the internet bubble displayed the first time, was something that is still unbelievable to this day. Even though denial and disbelief are a thing of the past, we can still wonder what those so called experts have to say today when asked if our computer pundits lacked all common sense back in the day? Well look at how unimaginably far "electronic wonderland" has come. The internet did indeed replace traditional systems used by banks and governments in the 1990s. Now another global event is about to close a chapter that started as early as 2008 when the global recession took place. We're seeing one after another industrial revolution, each time happening exponentially faster and in a more impactful way than the previous one. The world is being taken by storm yet again, as cryptocurrencies more than outperformed in the last quarter of 2017 and in the early days of 2018. In contrast and just like the dotcom bubble peak back in 2001, both astonishing events preceded a very bloody correction in the 2 years that followed. Both events witnessed by today's freelancer and entrepreneurial millenials, saw Nasdaq find the true bottom around the fourth quarter of 2002 followed by a crystal clear relief sucker's rally that lasted 6 years up until 2007 soon ensued by a higher bottom to spike a much much bigger rally that continues today.
Now that the cryptocurrency market is maturing, we can see history in the making as bitcoin did indeed reach a massive technological breakthrough at the end of 2017 followed by a 2 year bloody correction. This time though, moore's law didn't disappoint as the bitcoin market printed a 6 month sucker's relief rally ensued by a higher bottom just a few short months later, signaling an extended bear market and a slower future rally, a more progressive but healthier bullrun between next 2022 and 2023, if not earlier.
When comparing 2017 to the doctom bubble, it seems a massive new technology explosion took place 15 times faster than the euphoria experienced in 2001.
When looking at bitcoin's algorithmic hashrate, it seems Q2 of 2019 was a sucker's rally, similar to the one experienced in 2015.
Contrasting today's massive performance on the stocks that survived 2001's doctom bubble after reaching 98% losses from ATHs followed by a slow rise amidst regulation and adoption,
the crypto market is a trillionaire market in the making and the trend should continue as follows:
2013 has been very similar to 2017 in the crypto market.
2014 was very similar to 2018 where a gigantic bloody correction burst the bubble yet again.
2015 saw a sucker's rally signaling a bottom and a future rally potential, just like it happened early January of 2019
2016 Bitcoin had it's second halving, taking it from $185 early January 2015 bottom to $780 June 2016.
As miner difficulty increases and bitcoin becomes more scarce, covid-19 impacts every small business including those in the crypto industry causing a massive miner capitulation. Moreover, the block reward will be reduced from 12.5 BTC to 6.25 BTC .
With a pool of 15,700 miners left from hundreds of thousands will put the price of bitcoin anywhere from 16k to 53k around the date of the next bitcoin halving till mid 2023.
( BTC Price: $7000 x 6.25 = $43.750).
Institutional Trading is Heating Up
There is currently only a bit more than $2B in crypto. There was a large study done by JPMorgan, which found out that every $1B that goes into crypto increases the market cap by $50B.
So, this means that the actual FIAT money that went into crypto over the last few years is only 2% of what the total amount of cryptos are worth and that there is only $2.2B in crypto total right now, because $2.2B * 50 =$110B, that’s what all crypto is currently worth.
At the height of the last bull run, there were around $20B in crypto.
Say Bitcoin reaches a $30,000 price and a $240B market cap, we would probably be at a total $1T market cap.
There is only $20B entering crypto needed this year, since every $1B that enters crypto, increases the market cap by $50B.
BAKKT, Fidelity and ETFs could easily add $10B to this, which would make the crypto market increase by 5x alone.
Add small investors, Bitcoin whales and we are at $20B and a $1T total market cap again like in 2017, where we topped out at $800B total crypto market cap.
As 2020 arrived with a big bang, we see a strong indicator of what's to come in this exciting brave new orwellian and huxle'y's world, there's a big green light that the cryptocurrency and blockchain market is going to shock the world 10 times faster than the internet 2.0 market has to date! Nevertheless and regardless of the current Pandemic, bitcoin is still following a perfect trace of regressive models run by bots on the biggest crypto exchanges. 16k to 17k is the top for now I'm afraid.
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RISK TO REWARD 📚 An Educational Write-up on How to Find ThisIntroduction:
This illustration explains the minimum Risk-To-Reward ratio needed based on your average win-rate while using a fixed % risk amount.
"Risk-To-Reward ratio": The ratio of what you stand to lose compared to win.
"Fixed % Risk": A static % amount of your total account balance at risk per trade.
"Fixed Dollar Risk": A static $ amount at risk per trade. Regardless of account size fluctuations.
"Win-rate": The % out of all trades that are winners.
Steps:
1. Before being able to determine what Risk-To-Reward is acceptable to use, you will need to create a baseline measurement of your strategy's performance.
2. To create this baseline, you will need to backtest your strategy and obtain its current average win-rate.
3. This can be done using your pre-determined entry logic with a fixed stop-loss/take-profit offset amount.
(Adjusting your entry logic prior to finishing a round of backtesting may produce skewed results. Do not "cherry-pick" trades as that will lead to false results.)
4. Based on the resulting average win-rate you can then find the minimum Risk-To-Reward ratio you should be using.
5. Backtest again using the more optimal Risk-To-Reward ratio and repeat this step until the most optimal backtest results are obtained.
Here is the formula for determining your Average win-rate after you have tallied the wins/losses of your backtest:
#W = Number of winning trades
#L = Number of losing trades
(#W / (#W + #L)) * 100 = your average win rate %
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Introduction to Fixed Dollar Risk:
We have found it common for people to use the logic of fixed dollar risk amounts when calculating win-rates needed to break even, but then to use a fixed % risk in practice.
This simple-to-make mistake can lead to account erosion over time due to the way compounding works.
The fixed dollar approach uses relatively simple math for breaking even as shown below.
Example:
3 losing trades followed by 1 winning trade using 1:3 risk-to-reward achieves breakeven (ignoring trading fees and slippage)
This risk-to-reward ratio itself implies the win-rate needed (lose $100 three times, win $300 once, you break even).
The fixed dollar amount risk doesn't deal with compounding. As such, its logic cannot be used for fixed %.
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Using Fixed Percentage Risk:
Fixed % uses a more complicated and less apparent method for calculating how to break even. As shown in our illustration, if you take three losses in a row you won’t break even after your next win.
Fixed % is always dealing with the same % of your current balance. So as your balance decreases, the total dollar amount risked is less, and the total dollar amount gained with each win is reduced.
Thus, strings of losses require additional wins compared to the fixed dollar approach.
The fixed % method ensures against account erosion by showing the minimum win-rate needed to use each risk-to-reward ratio.
MATH NOTE: We used a simplified method for finding the minimum win-rate to make this useful and generally applicable. Our method is based on a given risk-to-reward ratio and assumes the max number of losses in a row to produce a minimum win-rate, it does not factor in all different possible loss strings and their probability.
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WHY USE FIXED % !?:
The question one will have at this point is, "Why to use fixed % if it is so F'ing complicated!?"
The answer to that is simple. Despite being more complicated, fixed % is actually objectively better by almost every other measure.
With fixed % you generally perform better than fixed dollar during strings of losses and wins. As with fixed %, you lose less as you go down (because you only ever lose 1% of your balance), and you gain more as you go up (because of your winnings compounding).
Not only that, but you also perform better even when losses and wins are more scattered, as you can see on the chart below.
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Conclusion:
Fixed % is more complicated than fixed dollar... to say the least.
However , it is none-the-less superior in most instances.
Use the logic above while using fixed % risk, since if you use fixed dollar logic but use fixed % in practice you will underperform your theoretical results.
If there are any major flaws in our logic/approach please let us know in the comments as of course, we are looking to provide as accurate instructional writeups as possible!
Why Bitcoin may never fall below $8,000 again If Bitcoin respects this curved resistance trendline, we may never see Bitcoin below $8,000 again. Of course, this is only a theory and not to be taken as trading advice. I am also using the Pitchfork fib to give us an idea of future prices. I have plotted a few prices at the $93,000 for the Stock to Flow projection and also the Pantera Capital $533,431 projection but respecting the upper curved trendline at end of 2022 instead of their 2021 projection.
Climbing abilities of Bulls EUR/JPY We are expecting price to come back at one of the strong Supports (Daily Fibo Retr. 38,2 and 50) most likely to bounce back. I wouldn't bet on a bulls ability to climb, but I would like to see a bull climbing with its hooves on a ladder. Quite literally. Anyway, buyers have a good chance of winning after price reached the Fibo 38,2.
Long Ucad pending buy limit placed (new york session 5/20/20) at (1.38900)
stop loss: 1.38392 (-50 pips)
TP1: (1.40100) (+120 pips)
Final Target: 1.40900) (+200 pips)
Demand Zone: (1.3900-3855)
Resistance zone:1.411
R:R:R= 4/1
Confirmations:
1. current price is in demand zone and has withheld as level of support since the beginning of april. level has been tested three prior times and has had strong bullish momentum pushes as result.
2.price has formed a 1h (hourly time frame) support within the demand zone with several clear rejections to the downside where bears have tried to push down but are being immediately rejected by the bulls.
3. Current market conditions is a ranging market with a strong bullish moves from price levels when withheld as support and with rejection levels being show entry around current price allows entry for structural stop loss below Aprils lows.