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Yesterday's results are in. Four of the top twenty are from January 2013, while the rest are from June 2011. Four of the top twenty occurred in the last four days. Yesterday ranks 19th at 16.66, ranking 4th for the year. Yesterday was the fourth highest weighted average since June 29, 2011.
1. 2011-06-09 W. Avg: 29.58
2. 2011-06-08 W. Avg: 27.25
3. 2011-06-10 W. Avg: 24.67
4. 2011-06-13 W. Avg: 20.11
5. 2011-06-07 W. Avg: 19.90
6. 2011-06-15 W. Avg: 19.68
7. 2011-06-14 W. Avg: 19.25
8. 2011-06-16 W. Avg: 18.86
9. 2011-06-06 W. Avg: 18.46
10. 2011-06-19 W. Avg: 17.77
11. 2013-01-24 W. Avg: 17.75
12. 2011-06-11 W. Avg: 17.61
13. 2011-06-05 W. Avg: 17.32
14. 2013-01-23 W. Avg: 17.22
15. 2013-01-22 W. Avg: 17.15
16. 2011-06-27 W. Avg: 17.01
17. 2011-06-28 W. Avg: 16.93
18. 2011-06-29 W. Avg: 16.88
19. 2013-01-25 W. Avg: 16.66
20. 2011-06-30 W. Avg: 16.51
In the top twenty weekly weighted averages, the last 7 days now ranks #15. It is the highest-ranked week not fully in June 2011. Note that some weeks include days without any trade.
1. 2011-06-04 through 2011-06-10 W. Avg: 23.38
2. 2011-06-05 through 2011-06-11 W. Avg: 22.62
3. 2011-06-08 through 2011-06-14 W. Avg: 21.42
4. 2011-06-07 through 2011-06-13 W. Avg: 21.41
5. 2011-06-06 through 2011-06-12 W. Avg: 21.31
6. 2011-06-03 through 2011-06-09 W. Avg: 21.30
7. 2011-06-09 through 2011-06-15 W. Avg: 20.25
8. 2011-06-10 through 2011-06-16 W. Avg: 19.06
9. 2011-06-02 through 2011-06-08 W. Avg: 18.83
10. 2011-06-13 through 2011-06-19 W. Avg: 17.84
11. 2011-06-19 through 2011-06-25 W. Avg: 17.77
12. 2011-06-11 through 2011-06-17 W. Avg: 17.47
13. 2011-06-12 through 2011-06-18 W. Avg: 17.33
14. 2011-06-14 through 2011-06-20 W. Avg: 17.26
15. 2013-01-19 through 2013-01-25 W. Avg: 16.99
16. 2011-06-15 through 2011-06-21 W. Avg: 16.97
17. 2013-01-18 through 2013-01-24 W. Avg: 16.89
18. 2011-06-18 through 2011-06-24 W. Avg: 16.83
19. 2011-06-23 through 2011-06-29 W. Avg: 16.73
20. 2011-06-22 through 2011-06-28 W. Avg: 16.68
The 10-day weighted average pits our most recent decade at #23, not far short of the top 20. It is the third-highest-ranked decade not fully in June 2011. Note that a significant portion of the June decades include days without trade.
1. 2011-06-07 through 2011-06-16 W. Avg: 21.09
2. 2011-06-06 through 2011-06-15 W. Avg: 21.04
3. 2011-06-05 through 2011-06-14 W. Avg: 20.97
4. 2011-06-04 through 2011-06-13 W. Avg: 20.79
5. 2011-06-08 through 2011-06-17 W. Avg: 20.43
6. 2011-06-02 through 2011-06-11 W. Avg: 20.41
7. 2011-06-01 through 2011-06-10 W. Avg: 20.17
8. 2011-06-03 through 2011-06-12 W. Avg: 20.14
9. 2011-06-09 through 2011-06-18 W. Avg: 19.28
10. 2011-05-31 through 2011-06-09 W. Avg: 18.47
11. 2011-06-10 through 2011-06-19 W. Avg: 18.33
12. 2011-06-13 through 2011-06-22 W. Avg: 17.84
13. 2011-06-11 through 2011-06-20 W. Avg: 17.41
14. 2011-06-12 through 2011-06-21 W. Avg: 17.36
15. 2011-06-14 through 2011-06-23 W. Avg: 17.26
16. 2011-06-19 through 2011-06-28 W. Avg: 17.01
17. 2011-06-15 through 2011-06-24 W. Avg: 16.97
18. 2011-05-30 through 2011-06-08 W. Avg: 16.74
19. 2011-06-20 through 2011-06-29 W. Avg: 16.73
20. 2011-06-18 through 2011-06-27 W. Avg: 16.72
21. 2011-06-21 through 2011-06-30 W. Avg: 16.67
22. 2011-06-16 through 2011-06-25 W. Avg: 16.63
23. 2013-01-16 through 2013-01-25 W. Avg: 16.53
24. 2011-06-22 through 2011-07-01 W. Avg: 16.51
25. 2011-06-23 through 2011-07-02 W. Avg: 16.4
26. 2011-06-24 through 2011-07-03 W. Avg: 16.32
27. 2013-01-15 through 2013-01-24 W. Avg: 16.31
28. 2011-06-17 through 2011-06-26 W. Avg: 15.97
29. 2011-06-25 through 2011-07-04 W. Avg: 15.94
30. 2013-01-14 through 2013-01-23 W. Avg: 15.7
The 30-day weighted average has the most recent 30 days ranking #33, while the most recent 60 days ranks #34 on the 60-day list.
On the 182-day list, the 34 past 182-day periods have, one over the other, broken the all-time high. Unless the price decides to meander below $12.05 for record volume, this streak is almost guaranteed to last at least one more day.
1. 2012-07-28 through 2013-01-25 W. Avg: 12.05
2. 2012-07-27 through 2013-01-24 W. Avg: 11.99
3. 2012-07-26 through 2013-01-23 W. Avg: 11.84
4. 2012-07-25 through 2013-01-22 W. Avg: 11.77
5. 2012-07-24 through 2013-01-21 W. Avg: 11.71
6. 2012-07-23 through 2013-01-20 W. Avg: 11.61
7. 2012-07-22 through 2013-01-19 W. Avg: 11.58
8. 2012-07-21 through 2013-01-18 W. Avg: 11.51
9. 2012-07-20 through 2013-01-17 W. Avg: 11.41
10. 2012-07-19 through 2013-01-16 W. Avg: 11.37
11. 2012-07-18 through 2013-01-15 W. Avg: 11.32
12. 2012-07-17 through 2013-01-14 W. Avg: 11.22
13. 2012-07-16 through 2013-01-13 W. Avg: 11.17
14. 2012-07-15 through 2013-01-12 W. Avg: 11.14
15. 2012-07-14 through 2013-01-11 W. Avg: 11.12
16. 2012-07-13 through 2013-01-10 W. Avg: 11.08
17. 2012-07-12 through 2013-01-09 W. Avg: 11.03
18. 2012-07-11 through 2013-01-08 W. Avg: 11.00
19. 2012-07-10 through 2013-01-07 W. Avg: 10.95
20. 2012-07-09 through 2013-01-06 W. Avg: 10.91
21. 2012-07-08 through 2013-01-05 W. Avg: 10.90
22. 2012-07-07 through 2013-01-04 W. Avg: 10.87
23. 2012-07-06 through 2013-01-03 W. Avg: 10.84
24. 2012-07-05 through 2013-01-02 W. Avg: 10.81
25. 2012-07-04 through 2013-01-01 W. Avg: 10.78
26. 2012-07-03 through 2012-12-31 W. Avg: 10.74
27. 2012-07-02 through 2012-12-30 W. Avg: 10.72
28. 2012-07-01 through 2012-12-29 W. Avg: 10.70
29. 2012-06-30 through 2012-12-28 W. Avg: 10.68
30. 2012-06-29 through 2012-12-27 W. Avg: 10.66
31. 2012-06-28 through 2012-12-26 W. Avg: 10.63
32. 2012-06-27 through 2012-12-25 W. Avg: 10.61
33. 2012-06-26 through 2012-12-24 W. Avg: 10.58
34. 2012-06-25 through 2012-12-23 W. Avg: 10.54
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The values in the chart below would occur if 2013 decided to best match the patterns of 2011 and 2012, as well as the latter part of 2010. All values are in Mt. Gox USD. The spring slump, summer surge, fall correction, and winter renewal are clearly seen.  |
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If miner supply was turned to 0.25 BTC today, would Bitcoin reach 1700 USD in several months?
Hyperbole. Your counterexample is a fallacy by design. It is not fallacious at all. It's common sense. I modelled the economics of the block reward months before it happened. I concluded that each day, less than 1% of trade is from that day's mined coins—a value unlikely to increase after the block reward change. Now that this value is closer to 0.5%, price changes are no longer attributable to supply through mining. Because of the way Bitcoin is designed, the supply entering the system is known. In effect, it is a combination of inflation and demurrage: inflation is known to a reasonable extent, and demurrage (through accidental coin loss) is inconstant, volatile, and unpredictable. These are the only influences affecting the money supply as a whole. Although demurrage is predicted to become more important in Bitcoin's future, at the moment it is likely second fiddle to inflation. But inflation can be predicted to a reasonable accuracy even through ignoring mining altogether. So we can model mining approximately by untying it to inflation, and as an industry similar to any other. This is no more a fallacy than modelling the motion of the Earth relative to the Sun as an ellipse—sure, the Moon affects it, but not significantly enough to make our model unacceptably inaccurate. Once we have established this model, mining becomes an industry like any other. Money is given to successful miners, and they earn a profit. This is no different from those successful in retail or in gambling. A common fallacy repeated on these forums is that difficulty drives price. It does, but not in an intuitive way. With this economic model, we can see that mining is an industry like any other. If the cost of earning the money decreases (difficulty decreases), profits increase. And with increased profits comes decreased value—a result obtainable regardless of economic theory. The same is true when difficulty increases: with decreased profits comes increased price. But we already know that mining is just an industry like any other. So clearly, mining alone is not going to make that large an impact. Difficulty doesn't really affect price that much because mining isn't that big of an industry. SatoshiDice alone is a bigger part of the economy than all miners at this stage. Price doesn't increase significantly because of difficulty. So how do I determine that value is not affected by the block reward? Simple. Consider a situation in which the difficulty doubles overnight due to a bug in the protocol. What will happen? This is equivalent to a halving of the block reward, after all. Will price skyrocket? In a few months, maybe? No. Clearly, the only impact on the price is that miner profits are down and therefore there is a certain degree of price increase. If miners were 100% of the economy, then only miners would be selling BTC. There is a temporary rift in the supply as the majority of miners run into negative profit. The price should increase significantly as the supply is severely crippled. This effect should be instant or at least rapid, as everyone is aware of this. But miners are not 100% of the economy. They are 20% at most. Gambling, retail, service, and yes, even speculation are all parts of the economy. Speculation, gambling, retail, and service make up the other 80%. Supply, at most, can only be crippled 20%. This means that even if the block reward and transaction fees disappeared overnight, the price should not reasonably appreciate more than 25%. Conclusion: Our current appreciation cannot be explained on the block halving. |
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We need less government involvement in research and more crowdfunding. It looks like they are repeating our mistakes.
 Fanelli, D (January 2012). "Negative results are disappearing from most disciplines and countries". Scientometrics 90 (3): 891–904. doi:10.1007/s11192-011-0494-7 http://dx.doi.org/10.1007%2Fs11192-011-0494-7Is it plausible that researchers correctly predicted the result of their research 80-90% of the time? I hope that the islamic scientists can be more realistic and lead us into a new golden age. Did'nt Bill Clinton ban cloning and genetic experiments with human DNA?
I don't know if it was clinton but that was only a ban on government funding of research using stem cells derived from aborted fetuses. It was still legal to do the research, the government just wouldn't fund it. You could also get the cells from other tissues (eg placenta) The problem with government-funded research is that it is too motivated on results. No longer are we investing in the theoretical because all government cares about is the practical. And because practical results are easily modelled, the results are nearly always positive. One of my favourite institutions is the Perimeter Institute. We need a return towards the sciences that matter for the future: theoretical physics, mathematics, astronomy, earth studies, artificial intelligence, and the like. But this won't happen because the government is mandating practical engineering tasks and masquerading them as "science". In my books, "Rapid construction of contemporary structures using inexpensive materials" is not, and will never be, physics—applied physics, maybe, but no more. |
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The coin isn't going to increase the money supply though, as it will never get spent. It's like writing yourself a slip saying "This slip is worth $1000000000000" so you remain solvent. I don't see how inflation can result from this. If anything, it will decrease inflation in the long run as the Fed's powers dwindle.
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The number of bitcoins sold over the last 30 days (according to bitcoincharts.com) was 1,885,000, while the number of bitcoins mined over the last 30 days was 108,000. So, the maximum possible contribution of supply by the block reward is less than 6%, and the actual contribution is probably much less than that. That is how I support my claim that a change in the reward has only a small effect on supply, if any.
You are misunderstanding the whole situation. Real coins and trade volume are absolutely different animals. For example, yesterday I started with 100 bitcoins and after selling and rebuying them 5 times, I finished with about 103 bitcoins. Real coins transferred = 103 - 100 = 3 bitcoins Trade volume generated = 5 * 2 * 100 = 1000 bitcoins The latest rally started two weeks ago on January 8. Prior to that, it was flat for nearly a month. How does this coincide with the block reward halving two months ago.
The adjustment is not instantaneous, it will take several months (including many corrections). If miner supply was turned to 0.25 BTC today, would Bitcoin reach 1700 USD in several months? Block halving has a very negligible effect on Bitcoin prices because the supply change is miniscule. Difficulty's effect on price stems from how attractive mining is, not from how much money is injected into the supply. |
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interested in a rainbow table with 46953865 addresses? lol
Wouldn't that require that you have the 46953865 private keys? That can easily be stored on modern hard disks. |
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I am waiting for Islamic Evolutionary Biologists to revolutionize genetic engineering in stem-cell research.
Why not petition your own government to legalize this? Banning scientific research for purposes of religion is absurd. |
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JEITINHO KAAROO
UPDOG
D R
ALBATROZ CRWTH
N B PATTAYA
K L SNOW
ATTENTION
NORM ANONYMOUS
TATTOOS
I U
DISEASED
ITS
SEE
CRÉÉE A P
S UKRAINE E
P T R
PRIMAVERA Ž
PUB E VIŠČIUKAS
WILL G Ū
ESTIS A R
QUAINTISE R Ė
OR H D T
PNEUMONOULTRAMICROSCOPICSILICOVOLCANOCONIOSIS
DIALLEL I
P N A
H R BARONETCY B
OVEIPEYOMAI A A
N A VENT R T
HOW C I CHUCKWILLSWIDOW T
R HARDIHOOD A ANTICONSTITUCIONALISSIMAMENTE
I E E IS N A
F ACCOUNTANT JUJITSU
I ON C SOWS
C E MEAT
A STRAIT
B A
GILIPOLLAS L
L I
I A
HOSPITALS
I U
P DIVERGENCES
P IT
O N
PAINTING
O T
T ANTICOSTITUZIONALISSIMAMENTE
O T
M I
O BITMONO
N U
S SUBMARINES
T
R
O
S
E
S
Q КОМЕНТАРІВ
SUPERCALIFRAGILISTICEXPIALIDOCIOUS
I O
PATCH
E
D ПОЛОЖЕНИЕ
A О
LEAP-FROG
I Р
O У
P С
H С
O S К
B O И
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ALPHABETS
Ido where it is distinct from Esperanto (REGARDO). |
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JEITINHO KAAROO
UPDOG
D R
ALBATROZ
N B PATTAYA
K L SNOW
ATTENTION
NORM ANONYMOUS
TATTOOS
I U
DISEASED
ITS
SEE
CRÉÉE A P
S UKRAINE E
P T R
PRIMAVERA Ž
PUB VIŠČIUKAS
WILL Ū
ESTIS R
QUAINTISE Ė
OR H T
PNEUMONOULTRAMICROSCOPICSILICOVOLCANOCONIOSIS
DIALLEL I
P N A
H R BARONETCY B
OVEIPEYOMAI A A
N A VENT R T
HOW C I CHUCKWILLSWIDOW T
R HARDIHOOD A ANTICONSTITUCIONALISSIMAMENTE
I E E IS N A
F ACCOUNTANT JUJITSU
I ON C SOWS
C E MEAT
A STRAIT
B A
GILIPOLLAS L
L I
I A
HOSPITALS
I U
P DIVERGENCES
P IT
O N
PAINTING
O T
T ANTICOSTITUZIONALISSIMAMENTE
O T
M I
O BITMONO
N U
S SUBMARINES
T
R
O
S
E
S
Q КОМЕНТАРІВ
SUPERCALIFRAGILISTICEXPIALIDOCIOUS
I O
PATCH
E
D ПОЛОЖЕНИЕ
A О
LEAP-FROG
I Р
O У
P С
H С
O S К
B O И
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ALPHABETS
DRZBLN was corrupted from PROBLEMS. I fixed it. |
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Panic sellers at $17 are probably enjoying the ride so far. Time to panic buy!
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On the 182-day list, the 33 past 182-day periods have, one over the other, broken the all-time high. Will this streak last to tomorrow?
1. 2012-07-27 through 2013-01-24 W. Avg: 11.99
Yes, I believe we'll stay above 12. That was said the last time price crashed after a big rally. The price subsequently fell to $8. Edit: Of course, we don't actually need to stay above 12. Staying above $9 would be enough to ensure a new record high. |
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What is an impossible output?
The RIPEMD is not proven to be reversible. For example, the function f(x)=x^2 is not reversible (over the reals) as there are values of f(x) for which there is no value of x. As such, there could possibly exist 160-bit numbers that can become valid addresses but are not obtainable with RIPEMD. This can reduce the address space. |
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Yesterday's results are in. Three of the top twenty are from January 2013, while the rest are from June 2011. Three of the top twenty occurred in the last three days. Yesterday ranks 11th at 17.75, setting a record high weighted average for the year. Yesterday was the highest weighted average since June 19, 2011.
1. 2011-06-09 W. Avg: 29.58
2. 2011-06-08 W. Avg: 27.25
3. 2011-06-10 W. Avg: 24.67
4. 2011-06-13 W. Avg: 20.11
5. 2011-06-07 W. Avg: 19.90
6. 2011-06-15 W. Avg: 19.68
7. 2011-06-14 W. Avg: 19.25
8. 2011-06-16 W. Avg: 18.86
9. 2011-06-06 W. Avg: 18.46
10. 2011-06-19 W. Avg: 17.77
11. 2013-01-24 W. Avg: 17.75
12. 2011-06-11 W. Avg: 17.61
13. 2011-06-05 W. Avg: 17.32
14. 2013-01-23 W. Avg: 17.22
15. 2013-01-22 W. Avg: 17.15
16. 2011-06-27 W. Avg: 17.01
17. 2011-06-28 W. Avg: 16.93
18. 2011-06-29 W. Avg: 16.88
19. 2011-06-30 W. Avg: 16.51
20. 2011-06-04 W. Avg: 16.41
In the top twenty weekly weighted averages, the last 7 days now ranks #16. It is the only week not fully in June 2011 to rank in the top 20. Note that some weeks include days without any trade.
1. 2011-06-04 through 2011-06-10 W. Avg: 23.38
2. 2011-06-05 through 2011-06-11 W. Avg: 22.62
3. 2011-06-08 through 2011-06-14 W. Avg: 21.42
4. 2011-06-07 through 2011-06-13 W. Avg: 21.41
5. 2011-06-06 through 2011-06-12 W. Avg: 21.31
6. 2011-06-03 through 2011-06-09 W. Avg: 21.30
7. 2011-06-09 through 2011-06-15 W. Avg: 20.25
8. 2011-06-10 through 2011-06-16 W. Avg: 19.06
9. 2011-06-02 through 2011-06-08 W. Avg: 18.83
10. 2011-06-13 through 2011-06-19 W. Avg: 17.84
11. 2011-06-19 through 2011-06-25 W. Avg: 17.77
12. 2011-06-11 through 2011-06-17 W. Avg: 17.47
13. 2011-06-12 through 2011-06-18 W. Avg: 17.33
14. 2011-06-14 through 2011-06-20 W. Avg: 17.26
15. 2011-06-15 through 2011-06-21 W. Avg: 16.97
16. 2013-01-18 through 2013-01-24 W. Avg: 16.89
17. 2011-06-18 through 2011-06-24 W. Avg: 16.83
18. 2011-06-23 through 2011-06-29 W. Avg: 16.73
19. 2011-06-22 through 2011-06-28 W. Avg: 16.68
20. 2011-06-24 through 2011-06-30 W. Avg: 16.67
The 10-day weighted average pits our most recent decade at #26, just short of the top 25. Note that a significant portion of the June decades include days without trade.
1. 2011-06-07 through 2011-06-16 W. Avg: 21.09
2. 2011-06-06 through 2011-06-15 W. Avg: 21.04
3. 2011-06-05 through 2011-06-14 W. Avg: 20.97
4. 2011-06-04 through 2011-06-13 W. Avg: 20.79
5. 2011-06-08 through 2011-06-17 W. Avg: 20.43
6. 2011-06-02 through 2011-06-11 W. Avg: 20.41
7. 2011-06-01 through 2011-06-10 W. Avg: 20.17
8. 2011-06-03 through 2011-06-12 W. Avg: 20.14
9. 2011-06-09 through 2011-06-18 W. Avg: 19.28
10. 2011-05-31 through 2011-06-09 W. Avg: 18.47
11. 2011-06-10 through 2011-06-19 W. Avg: 18.33
12. 2011-06-13 through 2011-06-22 W. Avg: 17.84
13. 2011-06-11 through 2011-06-20 W. Avg: 17.41
14. 2011-06-12 through 2011-06-21 W. Avg: 17.36
15. 2011-06-14 through 2011-06-23 W. Avg: 17.26
16. 2011-06-19 through 2011-06-28 W. Avg: 17.01
17. 2011-06-15 through 2011-06-24 W. Avg: 16.97
18. 2011-05-30 through 2011-06-08 W. Avg: 16.74
19. 2011-06-20 through 2011-06-29 W. Avg: 16.73
20. 2011-06-18 through 2011-06-27 W. Avg: 16.72
21. 2011-06-21 through 2011-06-30 W. Avg: 16.67
22. 2011-06-16 through 2011-06-25 W. Avg: 16.63
23. 2011-06-22 through 2011-07-01 W. Avg: 16.51
24. 2011-06-23 through 2011-07-02 W. Avg: 16.40
25. 2011-06-24 through 2011-07-03 W. Avg: 16.32
26. 2013-01-15 through 2013-01-24 W. Avg: 16.31
27. 2011-06-17 through 2011-06-26 W. Avg: 15.97
28. 2011-06-25 through 2011-07-04 W. Avg: 15.94
29. 2013-01-14 through 2013-01-23 W. Avg: 15.70
30. 2013-01-13 through 2013-01-22 W. Avg: 15.40
The 30-day weighted average has the most recent 30 days ranking #34, while the most recent 60 days ranks #35 on the 60-day list.
On the 182-day list, the 33 past 182-day periods have, one over the other, broken the all-time high. Will this streak last to tomorrow?
1. 2012-07-27 through 2013-01-24 W. Avg: 11.99
2. 2012-07-26 through 2013-01-23 W. Avg: 11.84
3. 2012-07-25 through 2013-01-22 W. Avg: 11.77
4. 2012-07-24 through 2013-01-21 W. Avg: 11.71
5. 2012-07-23 through 2013-01-20 W. Avg: 11.61
6. 2012-07-22 through 2013-01-19 W. Avg: 11.58
7. 2012-07-21 through 2013-01-18 W. Avg: 11.51
8. 2012-07-20 through 2013-01-17 W. Avg: 11.41
9. 2012-07-19 through 2013-01-16 W. Avg: 11.37
10. 2012-07-18 through 2013-01-15 W. Avg: 11.32
11. 2012-07-17 through 2013-01-14 W. Avg: 11.22
12. 2012-07-16 through 2013-01-13 W. Avg: 11.17
13. 2012-07-15 through 2013-01-12 W. Avg: 11.14
14. 2012-07-14 through 2013-01-11 W. Avg: 11.12
15. 2012-07-13 through 2013-01-10 W. Avg: 11.08
16. 2012-07-12 through 2013-01-09 W. Avg: 11.03
17. 2012-07-11 through 2013-01-08 W. Avg: 11.00
18. 2012-07-10 through 2013-01-07 W. Avg: 10.95
19. 2012-07-09 through 2013-01-06 W. Avg: 10.91
20. 2012-07-08 through 2013-01-05 W. Avg: 10.90
21. 2012-07-07 through 2013-01-04 W. Avg: 10.87
22. 2012-07-06 through 2013-01-03 W. Avg: 10.84
23. 2012-07-05 through 2013-01-02 W. Avg: 10.81
24. 2012-07-04 through 2013-01-01 W. Avg: 10.78
25. 2012-07-03 through 2012-12-31 W. Avg: 10.74
26. 2012-07-02 through 2012-12-30 W. Avg: 10.72
27. 2012-07-01 through 2012-12-29 W. Avg: 10.70
28. 2012-06-30 through 2012-12-28 W. Avg: 10.68
29. 2012-06-29 through 2012-12-27 W. Avg: 10.66
30. 2012-06-28 through 2012-12-26 W. Avg: 10.63
31. 2012-06-27 through 2012-12-25 W. Avg: 10.61
32. 2012-06-26 through 2012-12-24 W. Avg: 10.58
33. 2012-06-25 through 2012-12-23 W. Avg: 10.54
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I read that there are 2^160 possible addresses. https://bitcointalk.org/index.php?topic=24268.0Suppose that a group (with bad intentions) start to create several addresses using bots, what happens if they exhaust all the possible addresses? I'm thinking you have absolutely no idea how big 2^160 is. If you had a botnet with a billion bots, each producing a billion addresses per second, in a billion years you could create one out of every 46 billion addresses. 46 trillion, actually. A large chunk of those addresses is probably mathematically impossible though, as RIPEMD could possibly have impossible outputs. Taking Moore's law into account, it would still take almost 80 years before all addresses were generated. |
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can we have a list of 5 shortest periods for price doubling  I don't think it is very useful. Price doubled in one day: 1. 2010-09-14 Low: 0.06, High: 0.18 1. 2010-10-08 Low: 0.01, High: 0.09 1. 2010-11-06 Low: 0.24, High: 0.50 1. 2011-01-31 Low: 0.47, High: 0.95 1. 2011-06-12 Low: 10.25, High: 24.99 Interestingly, the only two-day doubles start the day before the aforementioned one-day spikes. Only 3 three-day doubles do not include the spikes above. I meant periods where daily average price doubled like period starting from somewhere in November 2011 where price was 2 usd , and somewhere around new year when price passed 4 there were a few periods of doubling in first half of 2011, when price started at 0.3 usd and finished at 30 usd those kind of periods, where daily average price is doubled at the end of some time interval, so, list should have starting date and average price of that day and ending date and average price for the day Slightly more useful. Doubled in 5 days: 1. 2011-04-25 through 2011-04-30 Low: 1.58, High: 3.29 1. 2011-05-09 through 2011-05-14 Low: 3.80, High: 7.86 1. 2011-06-01 through 2011-06-06 Low: 9.21, High: 18.46 1. 2011-06-03 through 2011-06-08 Low: 13.08, High: 27.25 Doubled in 6 days: 5. 2011-05-07 through 2011-05-13 Low: 3.61, High: 7.48 The periods are overlapping though. |
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can we have a list of 5 shortest periods for price doubling I don't think it is very useful. Price doubled in one day: 1. 2010-09-14 Low: 0.06, High: 0.18 1. 2010-10-08 Low: 0.01, High: 0.09 1. 2010-11-06 Low: 0.24, High: 0.50 1. 2011-01-31 Low: 0.47, High: 0.95 1. 2011-06-12 Low: 10.25, High: 24.99 Interestingly, the only two-day doubles start the day before the aforementioned one-day spikes. Only 3 three-day doubles do not include the spikes above. two day doubles culd be a one day double if the aforementioned doubling happened within 24hrs That doesn't matter though, given that no two-day doubles didn't include a one-day double in them. |
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can we have a list of 5 shortest periods for price doubling I don't think it is very useful. Price doubled in one day: 1. 2010-09-14 Low: 0.06, High: 0.18 1. 2010-10-08 Low: 0.01, High: 0.09 1. 2010-11-06 Low: 0.24, High: 0.50 1. 2011-01-31 Low: 0.47, High: 0.95 1. 2011-06-12 Low: 10.25, High: 24.99 Interestingly, the only two-day doubles start the day before the aforementioned one-day spikes. Only 3 three-day doubles do not include the spikes above. |
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