Pages:
Author

Topic: : - page 25. (Read 70881 times)

legendary
Activity: 2198
Merit: 1311
July 13, 2011, 08:12:53 AM
#34
This is what I am looking at now.



Targets:

To 2011-07-18
$11.833   $14.339   $16.863   $18.028

From 2011-07-19 to 2011-08-01
$12.738   $15.244   $17.228   $19.142

From 2011-08-02 to 2011-08-12
$16.775   $17.402   $20.325   $20.952

from 2011-08-13 to 2011-08-25
$20.117   $20.830   $22.692   $31.324


On this analysis it looks like, give or take the typical fluctuations, we've consolidated and are prepared to go up again.
legendary
Activity: 2198
Merit: 1311
July 11, 2011, 10:53:25 PM
#33
I am becoming convinced that this looks more like December, 2010 than it does March, 2011.

Correct me if I'm reading the charts wrong, but if you're right, then we're looking at possibly more downside and then a gradual increases in price, possibly over a period of a month or more, to reach the previous high.  That's as opposed to the March, 2011 scenario which would be a gradual decrease over a longish period with a very sharp increase to previous highs and beyond in a very short period of time.  Is that right?
legendary
Activity: 1974
Merit: 1029
July 10, 2011, 03:19:07 AM
#32
Sorry for the dumb question but, what are the two coming from the left? Is green line actual price and red line some sort of moving average?
newbie
Activity: 28
Merit: 0
July 06, 2011, 12:44:43 PM
#31
I have made some slight revisions to the forecast.
[...]

How do I know I am right?

I do not and can not know that. I only know that it is similar to what has happened before, and the current phase in the cycle represented by the forecast seems to correlate to where we are now. I am just putting it out there so the method can either fail or succeed publicly... It helps to keep me focused.

If we zoom out to the big picture, we are undoubtedly looking at a "phase transition" type of graph -- a sigmoidal S-curve (https://secure.wikimedia.org/wikipedia/en/wiki/Sigmoid_function).

This is common and normal for the uptake of popular new technology -- the same basic graph is found if you plot the adoption rate of many things (e.g. cell phones, Twitter, whatever).  Once it hits the exponential growth phase, it rises very quickly (sometimes the graph can be nearly vertical), until it finally tapers off when it reaches the point of saturation.  For example, there are now around five billion cell phones in use, so you can understand why it no longer has explosive growth (the world's population is seven billion).

Even if the new thing is much less popular (say 0.001% of the population cares about it, so it peaks at a few million users), the graph looks much the same, and it tends to find its saturation point fairly quickly.  It is a power law, and fractal (i.e. similar across scales).  Even if two such processes are substantially different from each other, they tend to look pretty similar when plotted with our usual linear bias (we weren't built to see those differences clearly).

The short story is that it will probably grow fast, then level off (and stay there unless something else replaces it).

So the real question is whether bitcoin has reached its saturation point yet.

I don't think so.  I believe there are many big stories and broader markets yet to come.  There is even a chance that it becomes ubiquitous (i.e. the most common currency exchanged in the world).  The chance of that doesn't need to be very high to have windfall potential.  For example, a 1000-to-1 chance of increasing 100000-fold in value is still a fantastic wager, and a 10% chance of increasing 100-fold is still a good bet.  [Unlike other commodities, the price will go up because there is only a finite amount.  21 million is a small number, so we're really talking about 21 billion mBC, or 21 trillion uBC.  Imagining a market cap 1000 times bigger than now is very easy -- and that still wouldn't be as big as World of Warcraft, nevermind a Samsung, or a Norway.]

The whole bitcoin idea could also flop and go to zero, as we've seen with many new technologies that never caught on.  I don't think that's very likely though, given the passionate following of people who crave freedom.  (Not to mention the support of the black markets -- it can't go to zero if arms dealers start using it!).

I would look for the basic patterns that chodpaba has identified to repeat for at least a few more cycles before they taper off (not repeat exactly, mind you, that's not how fractals work).  And it will be good news for everyone once the adoption phase is complete, as the hoarding will stop, and the currency will start acting like a currency should.

sr. member
Activity: 254
Merit: 250
July 06, 2011, 10:12:26 AM
#30
It is not good fourier transform to extract the dominant cycle, for stock market or currency data, you should use MESA (maximum entropy spectral analisys) for instantaneous dominant cycle estimation. For a while was present a 12 day cycle, now disappeared.
legendary
Activity: 2408
Merit: 1121
July 06, 2011, 09:00:05 AM
#29
chodpaba, appreciate the work you've put in, and your willingness to share! Some of what you have posted reminds me of another forecasting technique using Fast-Fourier Transform to extract dominant cycles and apply that as a forecast from current price. I do realize you are doing a probability-based projection, just wanted to share.

Also, I'd like to ask if anyone has daily data from 06/20 to present, that would be very helpful. I haven't kept up on my end with it, and would love to update my charts. (Which I'll share, of course.)
sr. member
Activity: 254
Merit: 250
July 06, 2011, 03:26:25 AM
#28
The support at 10$ make sense to me, considering price/difficulty ratio. Also 9$ was a previous resistance now support.
If the network size won't implode, 9-10$ zone should hold.
sr. member
Activity: 352
Merit: 250
Founder, BTCJAM
July 05, 2011, 01:06:04 PM
#27

Nice work, chodpaba!

Do you mind to share the source code of that simulation ? 

I work with signal processing in video, we use non linear prediction like this http://www.youtube.com/watch?v=yEdEA0V0uGg a lot, i've been trying to use self organising state space models to predict variance in two dimensional data, maybe i can extend your simulation to include self adjusting auto generated patters.

legendary
Activity: 1148
Merit: 1001
Radix-The Decentralized Finance Protocol
July 05, 2011, 12:39:51 PM
#26
However, I will have a reason to revise it if the price rises significantly (2x) before August. That would indicate a correlation with a double time series that has a not-pretty outcome...

Will you explain that for me?

The exact same thing that picked my interest.
legendary
Activity: 2198
Merit: 1311
July 05, 2011, 12:28:46 PM
#25
However, I will have a reason to revise it if the price rises significantly (2x) before August. That would indicate a correlation with a double time series that has a not-pretty outcome...

Will you explain that for me?
sr. member
Activity: 490
Merit: 250
July 05, 2011, 11:54:04 AM
#24
I could just keep it to myself, but it's not like I am really a speculator anyway. More of a buy and hold guy myself when it comes to BTC.

How's this holding up the past 24-hours? Do you have revised forcasts? $11.97's looking a bit more likely?
legendary
Activity: 1974
Merit: 1029
July 04, 2011, 04:45:10 PM
#23
Awesome work chodpaba Cool.
hero member
Activity: 616
Merit: 500
Firstbits.com/1fg4i :)
July 04, 2011, 04:42:48 PM
#22
I'll rephrase: how good is your system at predicting the past? Pretend we're 6 months ago, if you had the system set the way it is now, how off would the prediction be from what really happen in these last 6 months?
hero member
Activity: 616
Merit: 500
Firstbits.com/1fg4i :)
July 04, 2011, 04:21:00 PM
#21
How does your current formula match previous periods? (go back in time, ignore things after that and make a prediction then match with what actually happened)
legendary
Activity: 3920
Merit: 2349
Eadem mutata resurgo
July 04, 2011, 02:23:52 AM
#20

Self-similarity in USD/BTC price based on difficulty-period time scale ... ok, you've piqued my interest.
hero member
Activity: 809
Merit: 501
Always verify deals with me through my public key!
July 03, 2011, 01:13:10 PM
#19
That's real cool chodpaba.


Fuck tho, now that you've shared it, doesn't this lead to a danger of retrenching this as a pattern just by our awareness of it   Smiley Cheesy Grin
legendary
Activity: 2408
Merit: 1121
July 03, 2011, 01:08:55 PM
#18
chodpaba,
             Excellent work. I concur with your analysis of the refractory 'resting' period. Takes time for the market to build up an imbalance again, which will be expressed in the usual manner.
newbie
Activity: 56
Merit: 0
July 01, 2011, 04:47:30 AM
#17
i think you would be better correlating #users with price
newbie
Activity: 56
Merit: 0
July 01, 2011, 01:13:17 AM
#16
I don't put too much weight in graph extrapolations. They are 100% technical, whereas the true economy is nearly 100% behavioral.
member
Activity: 85
Merit: 10
June 30, 2011, 09:37:03 PM
#15
I probably did not phrase that quite correctly either. It is easier to spot true outliers from a large data population than a small one. If you only have ten, then does a 10% event really count as an outlier? It is hard to tell. But if you have 1000, then it is pretty easy to tell when a handful of events are true outliers...

My conclusion was that I think it depends, if you are Harrison Ford in bodyguard then it is easier to keep track of the ten than of 10 thousand. If you're an urban planner, probably the opposite is true.

(viciously) Translated into finance: If you're selling options you're worried about Whitney, if you writing buy/sell recommendations then you're the urban planner.

On the outliers: I understand what you mean now and the skepticism is now reduced to something based mostly on personal beliefs Wink

Pages:
Jump to: