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Topic: The next crash - page 2. (Read 2554 times)

legendary
Activity: 1176
Merit: 1010
Borsche
May 15, 2014, 01:05:42 PM
#5
Yours is very good at putting numbers behind what we all feel is true. Here are some other topics, not necessarily as detailed:

Some long-running threads like wall observer and these two: https://bitcointalk.org/index.php?topic=274613.1560;topicseen https://bitcointalk.org/index.php?topic=322058.0;topicseen

This to see what (other) whales are doing at SecondMarket: https://bitcointalk.org/index.php?topic=337486.0;topicseen

Some predictive threads which are fun to read down the line:
Multi-year exponential trend analysis: https://bitcointalk.org/index.php?topic=470453.0;topicseen
2014 prediction: https://bitcointalk.org/index.php?topic=572378.0;topicseen
And eerily accurate predictions of this last crash: https://bitcointalk.org/index.php?topic=336421.0;topicseen
sr. member
Activity: 317
Merit: 252
May 15, 2014, 11:49:13 AM
#4
bookmarked. seems legit.

I'd love to see a curated list of good analyses. What's in your bookmarks?
legendary
Activity: 1176
Merit: 1010
Borsche
May 15, 2014, 11:36:45 AM
#3
bookmarked. seems legit.
sr. member
Activity: 448
Merit: 250
May 15, 2014, 11:33:44 AM
#2
Excellent analysis.

I can't help but feel that what we are going through is similar to summer'2013, between the bubbles of April'2013 and Nov/Dec'2013.

So, yes, the coming bubble will peak above $4000 for sure, and I agree that it will crash down to a bit above $2000 and settle around $2500.
sr. member
Activity: 317
Merit: 252
May 15, 2014, 10:51:45 AM
#1
EDIT: Latest version.

td;dr. I describe previous crashes and attempt to make a prediction for the next crash. Here are the basic predictions -- some of these are pretty legit, others are more speculative.

* The next peak will probably be around 7,500, but can be anywhere from 4,400 to 13,000. This should happen by October 2014. Could be a hot summer... :-)
* Afte that, price will crash down to 2,300. This will likely occur in mid December 2014 - or as late as May 2015.
* This price (2,300) will be reached less than a month before the crash. IOW, in less than a month, it will go from 2,300 to whereever the moon is.

EDIT: Reconsidering after receiving feedback, the next peak should be closer to mid-January 2015.

The crashes so far.

Code:
     pk.date pk.price    tr.date tr.price drop    ft.date ft.price n.dest n.be
1 2010-07-19     0.09 2010-07-24     0.05 44.4 2010-07-27     0.06     NA   83
2 2010-11-07     0.36 2010-12-10     0.19 47.2 2010-12-11     0.22     11   68
3 2011-02-14     1.06 2011-04-05     0.67 36.8 2011-04-07     0.75     14   62
4 2011-06-09     29.6 2011-11-18     2.14 92.8 2011-11-24     2.42     42  617
5 2013-04-09      215 2013-04-16     65.3 69.6 2013-07-08       77     17  209
6 2013-11-30    1,130 2014-04-11      392 65.4 2014-05-07      441     17   NA

* pk = peak, tr = trough
* ft = "foot". According to my simplistic algorithm, this is when the next move up begins.
** Trough and foot for the current crash are provisional.
* n.dest = number of days of gains (prior to the peak) that were destroyed in the crash
* n.be = number of days to break even if you boughts at the peak

* Six crashes in almost 4 years. That's an average of 1 or 2 crashes per year.
* Current drop is similar to the one for the 2013-04-09 crash.
* n.dest is exactly the same as for the 2013-04-09 crash.
* n.be: If the last crash is any guide, we have about 40 days for the price to increase 2.5 times. Will the price finally start rising?

Predictive ratios and durations. Based on the above table, you can calculate lots of different ratios and durations. To me, these are interesting only if they have or might have some predictive value. I figured if a ratio or a duration is about the same for the past six crashes, it might hold up in the future. Here is what I've come up with, in order of possible predictive value.

Code:
     pk.date pk.price r.tr.pk1 r.pk.pk n.pk.pk n.dest n.tr.ft n.ft.ft
1 2010-07-19     0.09       NA      NA      NA     NA      NA      NA
2 2010-11-07     0.36     2.11       4     111     11     136     137
3 2011-02-14     1.06     1.86    2.94      99     14     115     117
4 2011-06-09     29.6     2.02    27.9     115     42     219     225
5 2013-04-09      215     2.21    7.26     664     17     509     592
6 2013-11-30    1,130     1.83    5.27     235     17     277     303

* r.tr.pk1 = the trough price of the current crash divided by the peak price of the previous crash. This is the most consistent measure that I've found so far. Thank you nastybit.
* r.xx.yy = ratio of xx to yy. n.xx.yy = number of days from yy to xx.

Based on this, here are predictions for what these could be in the next crash. Again, I think items closer to the top of the list are more reliable. Those closer to the bottom are more speculative. r.tr.pk1 stands out as looking very reliable.

Code:
      name  p_25   p_50  p_75
1 r.tr.pk1   1.9      2   2.1
2  n.pk.pk   112    182   294
3  r.pk.pk   3.9   6.61  11.2
4   n.dest    13     17  25.3
5  n.tr.ft   129    219   354

* Based on r.tr.pk1, the trough after the next crash should be somewhere between 2,200 and 2,400.
* Based on r.pk.pk, the next peak will probably be 7,500, but can be anywhere from 4,400 to 13,000.
* Based on n.pk.pk, the next peak should have happened already, but can happen as late as the latter part of September 2014. Could be a hot summer... :-)
* n.dest: Just like the current and the previous crash, the next crash is likely to destroy about 17 days of gains.
* n.tr.ft: The next trough will likely occur in mid December 2014 - or as late as May 2015.

Previous version. here

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