When i was new to
#Bitcoin
i was fooled into shitcoinary by scammers like John McAfee, Roger Ver, Richard Heart, Justin Sun, Vitalik Buterin and various other lowlife scum. If you are new to this, don't be fooled. There is only $BTC
#Bitcoin
. Everything else is some kind of scam.
You are waiting for a 15% discount on
#bitcoin
to try and make more fiat. I am buying
#bitcoin
every week regardless of the fiat exchange rate. We are not the same.
The cycles are finished. The impact of the halvenings is litterally half each time. This time, we also have a nation, many large organisations and financial institutions. This time we have Segwit, lightning and taproot. This time, it IS different.
#Bitcoin
Writing a new article that goes further than ever before trying to prove
#S2F
wrong. Only problem - ends up improving statistical methodology and confirming
#S2F
has an important non-spurious affect on
#bitcoin
price.
I was the first to discover the cointegration between s2f and market cap. I incorrectly applied the test. I now believe conclusively the
#s2f
model for
#Bitcoin
is competely wrong.
Is
#bitcoin
bullish or bearish? According to the
#s2f
model, its about bang on where its meant to be. Look at the likelihood. The low likelihood points are becoming less frequent. bullish imo. Remember blue + low=undervalued. Red/orange + low=overvalued.
I compared basic regressions of log price ~ log time v log price ~ log sf using data prior to 2014 and full data. Stock to flow continues to be a *consistent* predictor. Times ability to predict, funnily enough changes with time. Stock to flow doesn't.
Think i should expand this. /The model is wrong/ (but so are all models). It's predictions should not be relied upon as an exact estimate. What the model *does do* is give us *some* evidence to show s2f is an important variable in understanding
#Bitcoin
value.
@100trillionUSD
I was the first to discover the cointegration between s2f and market cap. I incorrectly applied the test. I now believe conclusively the
#s2f
model for
#Bitcoin
is competely wrong.
Just discovered altcoin better than
#Bitcoin
: $sats
Sats are permanently fixed to 1:100m ratio to BTC. At the moment 1 sat = $0.00043. It can easily kill 3 zeros. If dog coin can do it, so can sats! BTC can be swapped for sats in any wallet!
#Bitcoin
S2F model is fun, but basically wrong. After accounting for the autocorrelation in the residuals the coefficient for log s2f becomes almost zero (meaning: almost irrelevant). NB this is about the S2F model, not the S2FX model (....soon ;)....)
S2F analysis of
@100trillionUSD
gives us an estimated mean price for the next halving. It does NOT give us THE price at any point in that cycle. Do not be surprised if there is no immediate jump in price with the halving. Probably, there are bears counting on this.
For this, i calculated the vecm for each month and took the confidence intervals from the models. for the forecast part, i used the confidence interval from the last model. this last part is the interval given by exp(-2.443379)*sf^3.189581, exp(-2.443379)*sf^3.713882.
the lower band is sitting at around 3k, and the upper at around 30k. I would hazard a guess that neither of these are particularly likely, but i can say with at least 90% certainty that the price will be between 3k and 30k until after the next halving. Not particularly useful ATM
Just ticked over 4k followers. I don't know what to say - i hope i am providing you all with the content you expect. I will soon be launcing a website with all of my content as well.
Thank you all (and special thanks to
@BurgerCryptoAM
&
@100trillionUSD
)
most important variable in predicting eth price is not eth
#s2f
. nor is it
#bitcoin
price. it is
#bitcoin
#s2f
that drives eth price. IMO this is proof that eth is a ponzi built on nothing but speculation from the value of
#bitcoin
So this is basically the way i've been thinking: Buy
#Bitcoin
. Dollar cost average in as much as I can afford to. Don't plan on selling it for at least 3 halvings (~12 years).
...we can be 90% confident that the
#Bitcoin
price will fall between $42,600 and $608,000, with a median expectation of around $161,000 one year from now, should volatility and drift remain as they have been for the past 4 years.
ive found that if we have the same *real* volatility and drift we encountered in the bull run for 2017, according to the GBM, we would see a 5th quantile of $85,773.5 and a 95th quantile of $514,659.7 with a median expectation of $210,774.6
@karimhelpme
nope. Overfitting is a problem of complex models (i.e. models with more than 1 explanatory variable). Here is the same graph where I created a VECM for data up to July 2016. The CIs are wider because there is less data available at that point in time, but the gist is the same.
@100trillionUSD
Ive tested many other variables: time, hashrate, tx, addresses, fees, and interactions. nothing has been as out of sample stable as s2f so far. I thought there would be some non linear combination of these that would but out of sample, s2f still wins (not to mention parsimony)
couldn't have said it any simpler. NO ONE can predict the price action I DONT CARE HOW NICE YOUR MODEL IS - its rerturns variance is undefined. What people can predict is that
#Bitcoin
will continue to rise in value. Thus the best course of action is, and always has been, to DCA.
The fact that apparently otherwise intelligent people do not understand that the sum of the parts cannot be greater than the whole is frankly disturbing. 21 million
#Bitcoin
. Divide it however you want. There is only 21m of them when all is said and done.
@ecb
Cantillon Effect: The first recipient of the new supply of money is in the convenient position of being able to spend extra dollars before prices have increased.
The
#s2fx
single variate simple linear model isn't wrong per se, but it's basically useless. I don't need to bet anything. I know this because i can calculate prediction intervals (the model says we can have 95% confident that the price will be between 83k to 1.48m for phase 5)
Someone tried to manipulate
#Bitcoin
. Anyone not holding spot with their own keys will be at risk of a future attempt imo. Dont trade, dont leverage. Buy spot, hold your keys. Its really that simple.
Chinese miners went offline 3hrs into the difficulty adjustment.
The difficulty adjusts every 2 weeks to match the natural increase in hash rate from miners. This keeps block times to a steady 10 mins. If you're going to slow the network down, this is the best window to do so.
#bitcoin
#s2f
residuals seem to be converging to
#s2f
estimate. Halving will be a good test. If it converges, we might be able to tighten up the prediction ranges (i.e. by including the residuals convergence in the model)
Fundamentally s2f is about perception leading to human action.
In this sense, it's actually not really an econometric model at all. It's a sociological model. s2f is a long term view. The more we complicate that the less likely to see the forest from the trees.
I've been working on a a monte carlo method for
#Bitcoin
price estimation using geometric brownian motion. The estimate for 1 years time is between $7,763 and $38,534. I will write up an article on it at some point because there is some fun math involved.
@remindmetweets
1 year.
PSA: S2F gave an estimate for
#Bitcoin
of 55k, 100k and 288k. 55k was wrong, 100k will be wrong and 288k will be wrong. THERE IS NO ROAD, ONLY ROCKET FUEL.
Every1: be careful. All models are wrong (inc
#s2f
), some r useful. S2f model is useful because it tells us that scarcity has an important quantifiable impact on
#Bitcoin
value. Why that is (and exactly how it happens), we can only speculate at for now. Probably its very complex.
@GeoffLewisOrg
The person that DCAs into
#Bitcoin
and hodls for 10 years is not a person that sits around doing nothing and eating cheetos. It takes extraordinary power of will to not buy fiat at every btc ath.
i calculate the OLS for each day (updating the model coefficients each day) since 26 Aug 2010, for both s2f and logtime. The residuals for the daily estimations of the s2f are stationary. The residuals for the time model are not.
@MikeG_AUS
@100trillionUSD
From "Bitcoin price is currently $340 under the stock to flow estimation. The likelihood of this occuring is about 0.44. Therefore according to the stock to flow model, the Bitcoin price is fair."
didnt think i could get more bullish but then a banker comes out and falsifies my belief ๐คฃ
Ill take scarce secure decentralised
#Bitcoin
over any fiat shitcoin any day.
BREAKING: The Bank of England governor-designate, Andrew Bailey, says those holding bitcoin should "be prepared to lose all of your money" and "bitcoin has not caught on much"
ok banker
New episode is live with
@100trillionUSD
!
He reveals that he is part of an investment team that manages approximately $100 billion, while also explaining how the stock-to-flow price model that he invented is getting more accurate over time.
Enjoy!
More evidence: after controlling for any influence (either to or from) s&p500, difficulty adjustment, hashrate or address count and autocorrelation in the residuals (via prais), we can see s2f has a significant influence on price
I feel like if any of the ultra bullish models of
#s2f
are proven accurate, there may not be a bear market retrace after the estimated top at all and
#Bitcoin
will end up going straight to the millions range. *IF* they are proven accurate (and TBF i think its a long shot).
I am working on a new article, in the process of writing it i have convinced myself that the top for this halving cycle will be around 144k. Article contains an indicator that might be usefull. I will post it probably on Friday night.
here is the price estimates using stock to flow residuals (5th to 95th quantiles of the residuals). 10k ~ 305k range for next halving. Code is here for anyone thats interested: