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Topic: rpietila Wall Observer - the Quality TA Thread ;) - page 112. (Read 907229 times)

legendary
Activity: 1904
Merit: 1007
while I agree that number of users is increasing exponentially (so far), the number of transactions is NOT, which was posted earlier.
Possible explanation-the absence of accurate statistics, but then the whole argument is mute.

What would you prefer on a personal level as a miner in the short and long term? An increase in transactions or an increase in exchange rate? What about for bitcoin overall?
hero member
Activity: 518
Merit: 521
There appears to be little correlation this year between bitcoin price and the mining difficulty.

Mathematically there shouldn't be unless at least Moore's Law died. You want to correlate mHash/$ and mHash/Watt, i.e. those are both increasing faster than Moore's Law I think?


http://www.marketoracle.co.uk/Article47164.html

Quote
There was a move down on BTC-e, visible even from the long-term perspective. Bitcoin went below $500 in a first decisive move in days. The magnitude of the slide itself is, however, only secondary as far as the importance of the move was concerned. Why is that?

A look at the spike in volume is pretty much self-explanatory here. While 1,164 bitcoins were traded on Saturday, Sunday saw 41,590 (!!!) bitcoins change hands. A 3,473% increase, if you will. This activity has been blamed on a trading bot gone wild. This might be the case, but the most important short-term clue for investors here is that the price hasn’t actually completely recovered following the spike in volume, whatever the reason. Because of that, it seems that we’ve actually witnessed an important change in the short-term outlook.

The move below $500 on BitStamp and BTC-e, the volume and the fact that we haven’t seen a recovery suggests that the short-term outlook has just deteriorated. Consequently, we don’t support any short-term speculative positions in the Bitcoin market at this time.

The appreciation we’ve seen today doesn’t alleviate the concerns that Bitcoin might be on the brink of a new decline following a move below $500 which is now more than visible. The volume levels we’ve seen today don’t inspire too much confidence and project and image of a weak corrective move to the upside.

At present, it seems that unless we see a move above $500, the expected direction for the next move is down. We’re close to a situation when opening short speculative positions might be the way to go but we’d prefer to see where Bitcoin closes today before opting for that.

Summing up, in our opinion no speculative positions should be kept in the Bitcoin market now.

Trading position (short-term, our opinion): no positions.
hero member
Activity: 686
Merit: 501
Stephen Reed
Here is a graph of Bitcoin Hash Rate growth for the last couple of months as presented by Bitcoin Wisdom. I believe from news announcements that mining is not only now industrialized, but becoming more vertically integrated as manufactures operate their own miners during that crucial period where return on capital investment is possible.

There appears to be little correlation this year between bitcoin price and the mining difficulty.

hero member
Activity: 518
Merit: 521
COIN will be a liquidity event at a magnitude far larger, relative to current market cap, than was the advent of exchanges - which precipitated the superbubble.

I reiterate my thesis that the larger this COIN event, the more coins that get locked up in a vault and never transact. All the buying and selling churn for COIN will occur off-chain. Thus it removes transactions from Peter R's Metcalf Law model of the market cap. Whether you believe that model is predictive is another issue. In short, COIN could make a lot of investors happy and boastful, but it has a cost to upside growth. It is expedient but destructive. It is top-down not decentralized.

My thesis is fairly simple. The network effects value of Bitcoin is the decentralized potential for every user to transact with any other user. For example, imagine two off-chain entities that refuse to interopt (we are then going backwards, i.e. analogous to paywalls on internet urls, e.g. subscription magazines). As that is taken away with too much investment focus and top-down off-chain activity, the headroom of Bitcoin's market cap is declining, i.e. log-logistic. The fascist bastardization of the internet is well underway too. We hackers have a lot of work to.

For me it is common sense. Bitcoin is being sought primarily as an investment, not as a tool. The internet was sought primarily as tool.

I think we need a crypto-currency that is sought by the majority of the population not as an investment, but rather as a tool. The investors will certainly follow, just they did for the internet or how Warren Buffet admires rapper Jay-Z. We shouldn't totally dismiss what was learned from Dogecoin.

I hope readers appreciate I have shared my secrets to a large extent. We will never know who copied and ran with them. Was it me? You will never know but I will.  Tongue lol. Peace. (it also helps to preserve my life I suppose, don't cha think 'Satoshi' is reading this)

P.S. In short, fuck the SEC! (and every other alphabet soup top-down molasses)
hero member
Activity: 518
Merit: 521
That is far out of my depth (and available time to dig) too. I defer to animorex perhaps. Or perhaps SlipperySlope.
legendary
Activity: 1162
Merit: 1007
IMO, the growth rate for bitcoin would need to decline strongly (or retreat over a long period) to truly invalidate the exponential growth model.
Your subjective bias is fooling you here. Mathematically false because there was never a mathematical confirmation that the model was correct in the first place. We are simply picking straws blindfolded unless we have historically complete examples and or some other well supported logic from which to argue which model should be correct.
...
In other words there is a category error here.

Yes, I see your point and you might be right.  There's probably some more advanced ways to analyze the question of "what is the most accurate growth model?" objectively, as well as the question of "what would it take to invalidate the exponential growth model?"  But I don't have the skillset.  

For example, perhaps we could assume the adoption process is exponential Brownian motion [like the plot I showed earlier], estimate the hidden values for mean drift and volatility from the number-of-TXs-per-day time series, and calculate some sort of p-value for the fit.  But I'm way out of my depth now.  I wonder if there's anyone here who has a deep understanding of SDEs and things like the Black Scholes equation, etc.  
hero member
Activity: 518
Merit: 521
while I agree that number of users is increasing exponentially (so far), the number of transactions is NOT, which was posted earlier.
Possible explanation-the absence of accurate statistics, but then the whole argument is mute.

If it is true the "number of users is increasing exponentially (so far), the number of transactions is NOT" this would be congruent with my thesis that Bitcoin is abnormally skewed towards investors and not sufficiently balanced to (transaction) adopters.

Today it appears that a "concave down" [log-logistic] function would fit better than a straight line, but late last November people were arguing for a concave up (super exponential) model.

We have more history now so what we see now is more supported (by data) than what they saw historically. That doesn't necessarily make it more predictive, as it depends on our characterization of possible noise and other supporting logic for which model should be predictive.

IMO, the growth rate for bitcoin would need to decline strongly (or retreat over a long period) to truly invalidate the exponential growth model.

Your subjective bias is fooling you here. Mathematically false because there was never a mathematical confirmation that the predictive model was correct in the first place. We are simply picking straws blindfolded unless we have historically complete examples and or some other well supported logic from which to argue which predictive model should be correct.

Here's a model that fixes bitcoin's market cap at inception at $500,000.  The "rationale" is that Satoshi spent approximately 2 years building it, and the market-value for Satoshi-level talent is $250,000 / year.  



I argue this proposed model is invalidated because it is internally inconsistent. It is based on the notional of investment value of market cap as a starting point, yet you are modeling the Metcalf Law adoption value which is based not on investment adoption but rather on transaction adoption. In other words there is a category error here.

P.S. thanks so much for applying the effort for the examples and sharing. It really helps to discuss from your effort as I think it helps raise understanding.
legendary
Activity: 1596
Merit: 1030
Sine secretum non libertas
My mathematical point to Risto is that the relatively lesser fit of 0.73 for the log-logistic exponential model is entirely meaningless because precisely the choice of model is what matters. So aminorex and Peter R have supported my argument.

Not only implicitly but explicitly as well, yes:  A bad fit of a structurally representative model is far more predictive than a good fit of an unrepresentative model, because it is a compressive attractor.  There are some statistical tests you can use to discriminate, but knowing structure beforehand gives you a lot more leverage than structural estimation after the fact, because noise.

There are certainly some intuitions to support log-logistic, but they aren't compelling to me. Still have not taken time to think this one through properly, after all this time.  Summer has been crazytown.  And I've been indulging myself with distractions.

Yet, events in the world will never be entirely modeled by anything so simple.  COIN will be a liquidity event at a magnitude far larger, relative to current market cap, than was the advent of exchanges - which precipitated the superbubble.


hero member
Activity: 518
Merit: 521
How can you assert that a fit with one model is lesser fit than a fit with another model? Define 'lesser'?

The best fit is when you have a better R-squared value than any other fits. Excel calculates the best fits for every model automatically, so you can just conclude that a log-linear model has a better fit (0.94) than log-logistic (0.73).

If I am not mistaken, the best R-squared (least error from the data points) would be an N-degree polynomial for N data points such that the curve passes through every point.

Thus 'best fit' may have no correlation to predictive power.

Surely you of all people understand the concept of overfit...

Exponential growth is not some "arbitrary function."  It is the solution to a very simple--and very meaningful--differential equation.  It occurs whenever the growth rate of something is proportional to the size of the thing that's growing: e.g., the population of bunny rabbits in a park, bacteria in a petri dish, or users of a social networks.

My mathematical point to Risto is that the relatively lesser fit of 0.73 for the log-logistic exponential model is entirely meaningless because precisely the choice of model is what matters. So aminorex and Peter R have supported my argument.

P.S. kudos to Peter R's generative essence abstraction.
legendary
Activity: 1596
Merit: 1030
Sine secretum non libertas
It's so easy to be fooled by randomness.  Here's several simulations of the same underlying exponential growth model.  But instead of solving a regular differential equation to get a smooth exponential curve, I'm solving a stochastic differential equation that adds process noise.  The people in Alternate Universe #1 who get to ride the upper purple curve will think bitcoin is the most fantastic thing!  The people riding the bottom blue curve are going to make up story after story about how it's failing.  But in all cases, the only difference was randomness.  



loved your example. will steal it. thanks
legendary
Activity: 1162
Merit: 1007

I agree re waiting, but by December it should be clear (at least short term), don't you agree?


Not at all.  There is a great deal of psychological research that shows how our human minds try to find patterns that aren't really there.  A fantastic book on this topic is "Thinking Fast and Slow" by Daniel Kahneman.

IMO, the growth rate for bitcoin would need to decline strongly (or retreat over a long period) to truly invalidate the exponential growth model.  Here's a model that fixes bitcoin's market cap at inception at $500,000.  The "rationale" is that Satoshi spent approximately 2 years building it, and the market-value for Satoshi-level talent is $250,000 / year.  



I'm not arguing for this model, just pointing out that if growth slows to a more modest (but still exponential level), arguments could still be made that we are on trend.  IMO it would take a failure to reach a new ATH by 2017, or a sustained (1 year+) fall below $250, for me to say that "bitcoin growth has halted."  

...

It's so easy to be fooled by randomness.  Here's several simulations of the same underlying exponential growth model.  But instead of solving a regular differential equation to get a smooth exponential curve, I'm solving a stochastic differential equation that adds process noise.  The people in Alternate Universe #1 who get to ride the upper purple curve will think bitcoin is the most fantastic thing!  The people riding the bottom blue curve are going to make up story after story about how it's failing.  But in all cases, the only difference was randomness.  



legendary
Activity: 3892
Merit: 4331
while I agree that number of users is increasing exponentially (so far), the number of transactions is NOT, which was posted earlier.
Possible explanation-the absence of accurate statistics, but then the whole argument is mute.

We don't actually have a reliable way to measure adoption.  The Metcalfe Value plots I prepare assume that it's correlated with the number of TXs per day and the number of unique addresses used per day.  The plot below shows that both of these two proxies for the number of users has indeed been increasing exponentially (along with bitcoin's market cap).  Today it appears that a "concave down" function would fit better than a straight line, but late last November people were arguing for a concave up (super exponential) model.   So we must wait and see.  The ups-and-downs away from exponential growth look like noise to me and are not yet significant enough to invalidate the model.  

https://i.imgur.com/SHtly3v.png

I agree re waiting, but by December it should be clear (at least short term), don't you agree?
In addition, Steve Reed's graph shows -0.7 deviation from expectation (lowest yet).
I was basing my assertion on prior OP post:


legendary
Activity: 2324
Merit: 1125
We don't actually have a reliable way to measure the number of users.  The Metcalfe Value plots I prepare assume that it's correlated with the number of TXs per day and the number of unique addresses used per day.  

Do we guesstimate the number of users from client/wallet downloads, key site (BTCT/blockchain) traffic, and Google search trends? Or what?

No we just use the number of transactions per day and the number of unique addresses used per day as proxies for the number of users. It is highly likely they are strongly correlated.
legendary
Activity: 2156
Merit: 1072
Crypto is the separation of Power and State.
We don't actually have a reliable way to measure the number of users.  The Metcalfe Value plots I prepare assume that it's correlated with the number of TXs per day and the number of unique addresses used per day.  

Do we guesstimate the number of users from client/wallet downloads, key site (BTCT/blockchain) traffic, and Google search trends? Or what?
legendary
Activity: 1162
Merit: 1007
while I agree that number of users is increasing exponentially (so far), the number of transactions is NOT, which was posted earlier.
Possible explanation-the absence of accurate statistics, but then the whole argument is mute.

We don't actually have a reliable way to measure the number of bitcoin users.  The Metcalfe Value plots I prepare assume that it's correlated with the number of TXs per day and the number of unique addresses used per day.  The plot below shows that both of these two proxies for the number of users has indeed been increasing exponentially (along with bitcoin's market cap).  Today it appears that a "concave down" function would fit better than a straight line, but late last November people were arguing for a concave up (super exponential) model.   So we must wait and see.  The ups-and-downs away from exponential growth look like noise to me and are not yet significant enough to invalidate the model.  

full member
Activity: 238
Merit: 100
Hmm - do you say that the line you are watching is not 'USD/BTC = exp(-2.869800 + 0.003012 * D), D being the number of days' anymore? Have you changed the coefficients or have you changed it altogether so some other function?

It is always, every day, the line (or other construct) that gives the highest R^2 fit with the USD/BTC price data between 2009-1-3 and present_day. For all the time it has been an exponential function, which is linear when plotted in logarithmic space as I do.


Quote
Your comment about only one best fitting trendline only makes sense if you constrain your search space - for example by choosing only exponential functions.

A side note - if you for example allow for trendlines to be polynomials of unrestricted degree - then you'd be able to fit the trendline to the price chart exactly (with no divergencies at all).

1. Not really. Others just don't come close. 2. That's quite theoretical, since I cannot convince myself that a model with more than 2nd degree term is anything but noise with no predictive power, and Excel allows construction to 6th degree, with no improvement in R^2.

What IS important is if the growth trend is slowing or not. I currently hold the opinion that the trend is pretty much intact and price is about to increase 10x in a year. AnonyMint thinks it has slowed.


If we ever hit $5000/BTC... I give you legal ownership of my left kidney.

I like my kidneys... so what I am saying is that will never happen. Not next year. Not ever. Merry Christmas.

I could see $1500-$2000 in a bullish scenario.

Too many new players, too much regulatory bulls---, no Willy Bot, reduced black market presence, newbies getting Wall Street raped, etc., etc. Just because new adoption has, historically, been at a certain rate does not mean that this new adoption will continue out into the future. The baseline for the forecast is off.

It's, logically speaking, not terribly far off the rationale that banksters and credit agencies used in assigning inflated ratings to what were truly junk bonds -- the price of housing had not historically gone down and there had not been such a batch of foreclosures in prior history (and that sample size was much larger). However, the situation had changed... you had different people buying homes, different underwriting standards and down payment requirements, the perverse incentives created through securitization and derivatives, and balloon payments that functioned as a ticking time bomb.

Here, the dynamic that has changed is different, but the result is similar... adoption rates increased more dramatically when the price was still psychologically affordable. Now, simply having seen so many people profit, a lot of new users know that they are late to the game and that the odds are higher, now, that they'll be left holding a bag rather than profit. Tack on the fact that we went pop (moved away from black markets and towards regulation, taxation, and Wall Street) and have, resultantly, lost our hipness and appeal. Yea, this s--- is going down man. I'm not saying your math is wrong, but the application is off base.

Wait until more people start asking for wages in bitcoin... you are looking at sky high prices.  Unlike the merchants who currently accept BTC and convert instantly to $ employers would need a stock of BTC for pay day #1.  #2 Once employee is paid he rarely will spend all BTC instantly. 

This doesn't make sense, either, though. If any statistically significant amount of employees decided to be paid in Bitcoins and then they refused to spend their Bitcoins because their coins keep appreciating in value then they'd save themselves out of a job. If nobody is buying, how can you sell your wares?

In short, the proposition is at least a tad dubious.
legendary
Activity: 3892
Merit: 4331
Hmm - do you say that the line you are watching is not 'USD/BTC = exp(-2.869800 + 0.003012 * D), D being the number of days' anymore? Have you changed the coefficients or have you changed it altogether so some other function?

It is always, every day, the line (or other construct) that gives the highest R^2 fit with the USD/BTC price data between 2009-1-3 and present_day. For all the time it has been an exponential function, which is linear when plotted in logarithmic space as I do.


Quote
Your comment about only one best fitting trendline only makes sense if you constrain your search space - for example by choosing only exponential functions.

A side note - if you for example allow for trendlines to be polynomials of unrestricted degree - then you'd be able to fit the trendline to the price chart exactly (with no divergencies at all).

1. Not really. Others just don't come close. 2. That's quite theoretical, since I cannot convince myself that a model with more than 2nd degree term is anything but noise with no predictive power, and Excel allows construction to 6th degree, with no improvement in R^2.

What IS important is if the growth trend is slowing or not. I currently hold the opinion that the trend is pretty much intact and price is about to increase 10x in a year. AnonyMint thinks it has slowed.


How about trigonometric functions? Have you tried them? Or polynomials with trigonometric functions? I am sure Excel have many many functions and you can combine them in many many ways - I am sure you have not tried them all. So my question is how do you chose your functions - why are you sure that exp is good and cos is not?


Exponential growth is not some "arbitrary function."  It is the solution to a very simple--and very meaningful--differential equation.  It occurs whenever the growth rate of something is proportional to the size of the thing that's growing: e.g., the population of bunny rabbits in a park, bacteria in a petri dish, or users of a social networks.      

Here's a simple model for bitcoin adoption:

============
Let N by the number of bitcoin users.  Assume that on average each user converts k non-users every year.  Each year (Δt) the change in the number of users (ΔN) is then clearly k N.  This allows use to write the differential equation1:

  ΔNt = k N

The solution to this equation is:
  
   N(t) = N0 ek t

Where N0 is the initial number of users and N(t) is the number of users at a later time t (which clearly grows exponentially with time).  
============

Note that this is exactly the same rationale that we'd use to explain the growth of an intially-small population of bunny rabbits introduced into a park with abundant food:

Quote
Let N by the number of bitcoin users bunnies.  Assume that on average each user converts bunny creates k non-users new bunnies every year.  Each year (Δt) the change in the number of users bunniesN) is then clearly k N.  This allows use to write the differential equation:

  ΔNt = k N

The solution to this equation is:
  
   N(t) = N0 ek t

Where N0 is the initial number of users bunnies and N(t) is the number of users bunnies at a later time t (which clearly grows exponentially with time).  

The exponential function comes from a very simple and very reasonable underlying dynamical model.  You can't just say "maybe bitcoin growth is a trig function" or "maybe it's a Bessel function"--you need to refine the original differential equation with new reasonable dynamics, and then solve it to determine what the "function might be."  For example, the "logistic function" arises by noting that things do not grow exponentially forever.  Instead, the growth rate often slows down and then approaches zero when N reaches some saturation value Nsat.  The simplest way to model this is by adding the following term to original differential equation:

  ΔNt = k N (1 - N / Nsat)

The solution to this is the logisitic function that SlipperySlope is using.  

For bunny rabbits, the saturation level is the equilibrium population of bunnies that the park in question can support.  For bitcoin…well time will tell.
 

TL/DR: The exponential growth model is the best/simplest model that explains bitcoin adoption to date.    

1I should use an appropriate limiting procedure here.

while I agree that number of users is increasing exponentially (so far), the number of transactions is NOT, which was posted earlier.
Possible explanation-the absence of accurate statistics, but then the whole argument is mute.
legendary
Activity: 1162
Merit: 1007
Hmm - do you say that the line you are watching is not 'USD/BTC = exp(-2.869800 + 0.003012 * D), D being the number of days' anymore? Have you changed the coefficients or have you changed it altogether so some other function?

It is always, every day, the line (or other construct) that gives the highest R^2 fit with the USD/BTC price data between 2009-1-3 and present_day. For all the time it has been an exponential function, which is linear when plotted in logarithmic space as I do.


Quote
Your comment about only one best fitting trendline only makes sense if you constrain your search space - for example by choosing only exponential functions.

A side note - if you for example allow for trendlines to be polynomials of unrestricted degree - then you'd be able to fit the trendline to the price chart exactly (with no divergencies at all).

1. Not really. Others just don't come close. 2. That's quite theoretical, since I cannot convince myself that a model with more than 2nd degree term is anything but noise with no predictive power, and Excel allows construction to 6th degree, with no improvement in R^2.

What IS important is if the growth trend is slowing or not. I currently hold the opinion that the trend is pretty much intact and price is about to increase 10x in a year. AnonyMint thinks it has slowed.


How about trigonometric functions? Have you tried them? Or polynomials with trigonometric functions? I am sure Excel have many many functions and you can combine them in many many ways - I am sure you have not tried them all. So my question is how do you chose your functions - why are you sure that exp is good and cos is not?


Exponential growth is not some "arbitrary function."  It is the solution to a very simple--and very meaningful--differential equation.  It occurs whenever the growth rate of something is proportional to the size of the thing that's growing: e.g., the population of bunny rabbits in a park, bacteria in a petri dish, or users of a social networks.      

Here's a simple model for bitcoin adoption:

============
Let N by the number of bitcoin users.  Assume that on average each user converts k non-users every year.  Each year (Δt) the change in the number of users (ΔN) is then clearly k N.  This allows us to write the differential equation1:

  ΔNt = k N

The solution to this equation is:
  
   N(t) = N0 ek t

Where N0 is the initial number of users and N(t) is the number of users at a later time t (which clearly grows exponentially with time).  
============

Note that this is exactly the same rationale that we'd use to explain the growth of an intially-small population of bunny rabbits introduced into a park with abundant food:

Quote
Let N by the number of bitcoin users bunnies.  Assume that on average each user converts bunny creates k non-users new bunnies every year.  Each year (Δt) the change in the number of users bunniesN) is then clearly k N.  This allows us to write the differential equation:

  ΔNt = k N

The solution to this equation is:
  
   N(t) = N0 ek t

Where N0 is the initial number of users bunnies and N(t) is the number of users bunnies at a later time t (which clearly grows exponentially with time).  

The exponential function comes from a very simple and very reasonable underlying dynamical model.  You can't just say "maybe bitcoin growth is a trig function" or "maybe it's a Bessel function"--you need to refine the original differential equation with new reasonable dynamics, and then solve it to determine what the "function might be."  For example, the "logistic function" arises by noting that things do not grow exponentially forever.  Instead, the growth rate often slows down and then approaches zero when N reaches some saturation value Nsat.  The simplest way to model this is by adding the following term to original differential equation:

  ΔNt = k N (1 - N / Nsat)

The solution to this is the logisitic function that SlipperySlope is using.  

For bunny rabbits, the saturation level is the equilibrium population of bunnies that the park in question can support.  For bitcoin…well time will tell.
 

TL/DR: The exponential growth model is the best/simplest model that explains bitcoin adoption to date.    

1I should use an appropriate limiting procedure here.
hero member
Activity: 900
Merit: 1014
advocate of a cryptographic attack on the globe
My best estimate of a desirable target date for the issuers (assuming SEC does not seek to delay it unreasonably) is November 8th, 2014, which is the 10th anniversary of the issuance of GLD.   I do not have expert data required to form a mechanism-based timing estimate.
Just for fun...

EQUITY GOLD TRUST filed their S-1 on 13 May 2003. 1 year, 5 months, 3 weeks, 5 days later GLD was issued.

The S-1 for COIN was 1 July 2013. So that would put us on the 27th of December 2014.
legendary
Activity: 3892
Merit: 4331
Did you ever calculate the market cap of bitcoin with a 2000 dollar value?
That would be a current market cap of 24 billion dollars.
Such a small market cap cannot sustain any real economic transaction value, where banks, businesses and consumers use bitcoin for all kinds of offline and online financial transactions.

The $2000 is probably too low. I think $3000 is nearly assured, and $5000 - $10,000 is somewhat likely.

$10,000 x 15 million coins in 2015 = $150 billion.

Here is some justification, but apparently the Bitcoin velocity of money abnormally low for a currency and thus won't reach Paypal's scale at least not on-chain (i.e. off chain fractional reserves and debt won't be limited to Bitcoin's money supply):

https://www.paypal-media.com/about

Quote
PayPal’s net Total Payment Volume for 2013, the total value of transactions, was $180 billion, up 24% year over year on an FX neutral basis.

bitcoin value is an enigma; the values you quoted are arbitrary. Why? The transactional value (including exchange) is 2.9% for credit cards & paypal vs 2% (coinbase round trip). A lot of businesses can exist in this slice (2-2.9), but it is not a gigantic value proposition (if you ONLY consider transactions).
In fact, I would think that since the lower bound (2%) will have a natural trend to go down (to less than 1%), there is even less monetary reward in transactions.
I think that the store of value is much more interesting proposition for the increase of price of bitcoin (eventually-as it is failing right now, contrary to my expectations).
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