1 2013-11-30 1132.29
2 2013-12-04 1111.56
3 2017-01-04 1088.45
4 2013-11-29 1065.36
5 2013-12-03 1050.57
6 2017-01-03 1020.56
7 2017-01-02 1013.00
8 2017-01-05 1005.35
9 2013-12-02 1000.49
10 2013-11-28 998.56
11 2017-01-01 987.47
12 2013-12-05 975.06
13 2016-12-29 967.02
14 2016-12-28 955.98
15 2016-12-31 955.73
16 2016-12-30 951.07
17 2013-12-01 945.67
18 2013-12-10 941.56
19 2013-11-27 937.09
20 2014-01-06 936.62
21 2016-12-27 922.42
22 2017-01-23 920.25
23 2017-01-22 916.63
24 2017-01-21 916.08
25 2017-01-06 914.26
Topic: Top 20 days for Bitcoin - page 134. (Read 110382 times)
Update:
There seems to be a flexible interpretation of the term "20" at play here.
Update:
1 2013-11-30 1132.29
2 2013-12-04 1111.56
3 2017-01-04 1088.45
4 2013-11-29 1065.36
5 2013-12-03 1050.57
6 2017-01-03 1020.56
7 2017-01-02 1013.00
8 2017-01-05 1005.35
9 2013-12-02 1000.49
10 2013-11-28 998.56
11 2017-01-01 987.47
12 2013-12-05 975.06
13 2016-12-29 967.02
14 2016-12-28 955.98
15 2016-12-31 955.73
16 2016-12-30 951.07
17 2013-12-01 945.67
18 2013-12-10 941.56
19 2013-11-27 937.09
20 2014-01-06 936.62
21 2016-12-27 922.42
22 2017-01-22 916.63
23 2017-01-21 916.08
24 2017-01-06 914.26
25 2017-01-08 913.92
There seems to be a flexible interpretation of the term "20" at play here.
Today, the value was expressed in log 12.5.
There seems to be a flexible interpretation of the term "20" at play here.
Update:
1 2013-11-30 1132.29
2 2013-12-04 1111.56
3 2017-01-04 1088.45
4 2013-11-29 1065.36
5 2013-12-03 1050.57
6 2017-01-03 1020.56
7 2017-01-02 1013.00
8 2017-01-05 1005.35
9 2013-12-02 1000.49
10 2013-11-28 998.56
11 2017-01-01 987.47
12 2013-12-05 975.06
13 2016-12-29 967.02
14 2016-12-28 955.98
15 2016-12-31 955.73
16 2016-12-30 951.07
17 2013-12-01 945.67
18 2013-12-10 941.56
19 2013-11-27 937.09
20 2014-01-06 936.62
21 2016-12-27 922.42
22 2017-01-21 916.08
23 2017-01-06 914.26
24 2017-01-08 913.92
25 2017-01-10 902.61
Update:
1 2013-11-30 1132.29
2 2013-12-04 1111.56
3 2017-01-04 1088.45
4 2013-11-29 1065.36
5 2013-12-03 1050.57
6 2017-01-03 1020.56
7 2017-01-02 1013.00
8 2017-01-05 1005.35
9 2013-12-02 1000.49
10 2013-11-28 998.56
11 2017-01-01 987.47
12 2013-12-05 975.06
13 2016-12-29 967.02
14 2016-12-28 955.98
15 2016-12-31 955.73
16 2016-12-30 951.07
17 2013-12-01 945.67
18 2013-12-10 941.56
19 2013-11-27 937.09
20 2014-01-06 936.62
21 2016-12-27 922.42
22 2017-01-06 914.26
23 2017-01-08 913.92
24 2017-01-10 902.61
25 2016-12-24 900.20
26 2016-12-26 898.97
27 2016-12-23 897.77
28 2017-01-19 895.00
29 2013-12-06 894.36
30 2017-01-20 893.82
Update:
1 2013-11-30 1132.29
2 2013-12-04 1111.56
3 2017-01-04 1088.45
4 2013-11-29 1065.36
5 2013-12-03 1050.57
6 2017-01-03 1020.56
7 2017-01-02 1013.00
8 2017-01-05 1005.35
9 2013-12-02 1000.49
10 2013-11-28 998.56
11 2017-01-01 987.47
12 2013-12-05 975.06
13 2016-12-29 967.02
14 2016-12-28 955.98
15 2016-12-31 955.73
16 2016-12-30 951.07
17 2013-12-01 945.67
18 2013-12-10 941.56
19 2013-11-27 937.09
20 2014-01-06 936.62
21 2016-12-27 922.42
22 2017-01-06 914.26
23 2017-01-08 913.92
24 2017-01-10 902.61
25 2016-12-24 900.20
26 2016-12-26 898.97
27 2016-12-23 897.77
28 2017-01-19 895.00
29 2013-12-06 894.36
30 2017-01-09 892.60
Update:
1 2013-11-30 1132.29
2 2013-12-04 1111.56
3 2017-01-04 1088.45
4 2013-11-29 1065.36
5 2013-12-03 1050.57
6 2017-01-03 1020.56
7 2017-01-02 1013.00
8 2017-01-05 1005.35
9 2013-12-02 1000.49
10 2013-11-28 998.56
11 2017-01-01 987.47
12 2013-12-05 975.06
13 2016-12-29 967.02
14 2016-12-28 955.98
15 2016-12-31 955.73
16 2016-12-30 951.07
17 2013-12-01 945.67
18 2013-12-10 941.56
19 2013-11-27 937.09
20 2014-01-06 936.62
21 2016-12-27 922.42
22 2017-01-06 914.26
23 2017-01-08 913.92
24 2017-01-10 902.61
25 2016-12-24 900.20
26 2016-12-26 898.97
27 2016-12-23 897.77
28 2013-12-06 894.36
29 2017-01-09 892.60
30 2013-12-11 890.42
31 2014-01-11 883.00
32 2013-12-13 882.99
33 2014-01-05 881.82
34 2017-01-18 879.11
35 2017-01-17 878.62
Update:
1 2013-11-30 1132.29
2 2013-12-04 1111.56
3 2017-01-04 1088.45
4 2013-11-29 1065.36
5 2013-12-03 1050.57
6 2017-01-03 1020.56
7 2017-01-02 1013.00
8 2017-01-05 1005.35
9 2013-12-02 1000.49
10 2013-11-28 998.56
11 2017-01-01 987.47
12 2013-12-05 975.06
13 2016-12-29 967.02
14 2016-12-28 955.98
15 2016-12-31 955.73
16 2016-12-30 951.07
17 2013-12-01 945.67
18 2013-12-10 941.56
19 2013-11-27 937.09
20 2014-01-06 936.62
21 2016-12-27 922.42
22 2017-01-06 914.26
23 2017-01-08 913.92
24 2017-01-10 902.61
25 2016-12-24 900.20
26 2016-12-26 898.97
27 2016-12-23 897.77
28 2013-12-06 894.36
29 2017-01-09 892.60
30 2013-12-11 890.42
31 2014-01-11 883.00
32 2013-12-13 882.99
33 2014-01-05 881.82
34 2017-01-17 878.62
35 2016-12-25 874.03
Update (I had to go down to 48th place to get yesterday's price on the list):
Check out 48th and 49th places - the price moved 7 cents in 3 years, and people say Bitcoin is volatile!
1 2013-11-30 1132.29
2 2013-12-04 1111.56
3 2017-01-04 1088.45
4 2013-11-29 1065.36
5 2013-12-03 1050.57
6 2017-01-03 1020.56
7 2017-01-02 1013.00
8 2017-01-05 1005.35
9 2013-12-02 1000.49
10 2013-11-28 998.56
11 2017-01-01 987.47
12 2013-12-05 975.06
13 2016-12-29 967.02
14 2016-12-28 955.98
15 2016-12-31 955.73
16 2016-12-30 951.07
17 2013-12-01 945.67
18 2013-12-10 941.56
19 2013-11-27 937.09
20 2014-01-06 936.62
21 2016-12-27 922.42
22 2017-01-06 914.26
23 2017-01-08 913.92
24 2017-01-10 902.61
25 2016-12-24 900.20
26 2016-12-26 898.97
27 2016-12-23 897.77
28 2013-12-06 894.36
29 2017-01-09 892.60
30 2013-12-11 890.42
31 2014-01-11 883.00
32 2013-12-13 882.99
33 2014-01-05 881.82
34 2016-12-25 874.03
35 2013-12-09 867.49
36 2017-01-07 863.89
37 2013-12-12 862.85
38 2013-12-14 860.41
39 2014-01-12 858.24
40 2014-01-07 857.96
41 2016-12-22 855.94
42 2013-11-26 849.32
43 2013-12-15 838.37
44 2014-01-15 837.66
45 2013-11-23 832.85
46 2014-01-20 831.00
47 2014-01-10 829.44
48 2017-01-16 828.25
49 2014-01-16 828.18
50 2017-01-14 826.98
Check out 48th and 49th places - the price moved 7 cents in 3 years, and people say Bitcoin is volatile!
It looks to me like he was just showing positions 11 through 20 in a faded out color
Oh yes, I think you're right.
So it was last month gets put in bold, black for pos 1-10 or grey for pos 11-20?
The "classic" one had days older than 7 (or 10) fade from black to light grey, but still be thick type. After another 7 (or 10) days the text for that date was presented in ordinary type. So 4 categories in total: today, last week (or 10 days), last 2 weeks (or 20 days), and older.
Could you quote an example of this please?
It looks to me like he was just showing positions 11 through 20 in a faded out color, like this:
9. 2013-02-16 W. Avg: 27.16
10. 2013-02-15 W. Avg: 26.99
11. 2013-02-18 W. Avg: 26.76
12. 2013-02-17 W. Avg: 26.40
10. 2013-02-15 W. Avg: 26.99
11. 2013-02-18 W. Avg: 26.76
12. 2013-02-17 W. Avg: 26.40
Note how #11 is newer than #10, but is faded out because it's not in the top 10.
Update - despite the sub $900 drop today the volume weighted average price stayed just over $1000:
1 2013-11-30 1132.29
2 2013-12-04 1111.56
3 2017-01-04 1088.45
4 2013-11-29 1065.36
5 2013-12-03 1050.57
6 2017-01-03 1020.56
7 2017-01-02 1013.00
8 2017-01-05 1005.35
9 2013-12-02 1000.49
10 2013-11-28 998.56
11 2017-01-01 987.47
12 2013-12-05 975.06
13 2016-12-29 967.02
14 2016-12-28 955.98
15 2016-12-31 955.73
16 2016-12-30 951.07
17 2013-12-01 945.67
18 2013-12-10 941.56
19 2013-11-27 937.09
20 2014-01-06 936.62
Very cool. Was thinking it might be nice to have different years have diff color font to help visualisation a little bit.. But anyway interesting way to look at the price. Thanks
The "classic" one had days older than 7 (or 10) fade from black to light grey, but still be thick type. After another 7 (or 10) days the text for that date was presented in ordinary type. So 4 categories in total: today, last week (or 10 days), last 2 weeks (or 20 days), and older.
Very cool. Was thinking it might be nice to have different years have diff color font to help visualisation a little bit.. But anyway interesting way to look at the price. Thanks
Well, we really only have two "years": late 2013, early 2014, and late 2016, early 2017...
Update:
1 2013-11-30 1132.29
2 2013-12-04 1111.56
3 2017-01-04 1088.45
4 2013-11-29 1065.36
5 2013-12-03 1050.57
6 2017-01-03 1020.56
7 2017-01-02 1013.00
8 2013-12-02 1000.49
9 2013-11-28 998.56
10 2017-01-01 987.47
11 2013-12-05 975.06
12 2016-12-29 967.02
13 2016-12-28 955.98
14 2016-12-31 955.73
15 2016-12-30 951.07
16 2013-12-01 945.67
17 2013-12-10 941.56
18 2013-11-27 937.09
19 2014-01-06 936.62
20 2016-12-27 922.42
Very cool. Was thinking it might be nice to have different years have diff color font to help visualisation a little bit.. But anyway interesting way to look at the price. Thanks
Today may become top 4 or 3
We'll see...
I scripted the report generation. Until now I was doing it by hand each day.
Here's the top 100 volume weighted daily prices:
1 2013-11-30 1132.29
2 2013-12-04 1111.56
3 2013-11-29 1065.36
4 2013-12-03 1050.57
5 2017-01-03 1020.56
6 2017-01-02 1013.00
7 2013-12-02 1000.49
8 2013-11-28 998.56
9 2017-01-01 987.47
10 2013-12-05 975.06
11 2016-12-29 967.02
12 2016-12-28 955.98
13 2016-12-31 955.73
14 2016-12-30 951.07
15 2013-12-01 945.67
16 2013-12-10 941.56
17 2013-11-27 937.09
18 2014-01-06 936.62
19 2016-12-27 922.42
20 2016-12-24 900.20
21 2016-12-26 898.97
22 2016-12-23 897.77
23 2013-12-06 894.36
24 2013-12-11 890.42
25 2014-01-11 883.00
26 2013-12-13 882.99
27 2014-01-05 881.82
28 2016-12-25 874.03
29 2013-12-09 867.49
30 2013-12-12 862.85
31 2013-12-14 860.41
32 2014-01-12 858.24
33 2014-01-07 857.96
34 2016-12-22 855.94
35 2013-11-26 849.32
36 2013-12-15 838.37
37 2014-01-15 837.66
38 2013-11-23 832.85
39 2014-01-20 831.00
40 2014-01-10 829.44
41 2014-01-16 828.18
42 2014-01-21 821.57
43 2014-01-19 821.41
44 2014-01-14 821.00
45 2014-01-26 819.29
46 2014-02-02 818.22
47 2016-12-21 816.48
48 2014-02-01 815.29
49 2014-01-09 815.29
50 2014-01-13 814.71
51 2014-01-22 814.24
52 2014-01-04 814.07
53 2014-01-23 811.40
54 2014-01-08 809.64
55 2014-02-03 808.55
56 2014-01-18 808.12
57 2013-11-25 807.80
58 2014-02-04 803.25
59 2014-01-31 801.74
60 2014-01-03 798.57
61 2014-01-25 796.79
62 2014-02-05 796.18
63 2014-01-17 795.31
64 2013-11-24 795.08
65 2014-01-30 794.78
66 2014-01-29 794.65
67 2016-12-20 793.38
68 2016-12-19 791.41
69 2016-12-18 787.21
70 2014-01-24 786.70
71 2016-12-17 786.01
72 2014-01-28 781.56
73 2016-12-16 778.66
74 2016-12-13 778.31
75 2016-12-14 776.73
76 2016-12-15 776.63
77 2014-01-27 776.44
78 2016-12-12 775.18
79 2014-02-06 774.92
80 2016-12-10 772.55
81 2016-12-09 770.33
82 2014-01-02 768.67
83 2016-12-08 768.16
84 2016-12-11 767.68
85 2016-12-02 766.70
86 2016-12-03 762.58
87 2016-12-07 762.03
88 2016-12-04 758.91
89 2016-12-06 755.27
90 2016-06-19 754.72
91 2016-06-18 753.96
92 2016-12-05 749.99
93 2016-12-01 749.47
94 2016-11-19 748.08
95 2014-01-01 745.45
96 2016-11-18 744.66
97 2016-11-17 744.08
98 2013-11-22 743.65
99 2016-06-20 741.90
100 2016-11-22 741.88
bitcoincharts.com seems to be working again. It has $1013.00 for the #6 price on 2017-01-02, whereas the other site says $1013.01. I'll be switching back to the bitcoincharts.com prices from today.
Edit: here's the (bash) script I wrote that generates these reports:
Code:
vwap() {
days=1200
top=20
rows=$(wget -o/dev/null -O- "http://bitcoincharts.com/charts/chart.json?m=bitstampUSD&r=$days&i=Daily" |
sed 's/], \[/\n/g' |
head -n $((days-1)) |
tr -d '[],' |
awk '{print $1, $8}' |
sort -k2nr |
head -$top
)
newest=$(echo "$rows" | sort -n | tail -1 | awk '{print $1}')
printf "Update:\n[pre]\n"
n=1
echo "$rows" |
while read t p
do
if ((t > 1400000000)); then b1="[b]" ; b2="[/b]" ; else b1=""; b2=""; fi
if ((t == newest)) ; then c1="[color=#7F0000]"; c2="[/color]"; else c1=""; c2=""; fi
printf "%s%s%2d %s %7.2f%s%s\n" "$b1" "$c1" $n "$(TZ= date -d @$t +%Y-%m-%d)" $p "$c2" "$b2"
((n++))
done
printf "[/pre]\n"
}
Today may become top 4 or 3
Update:
1 2013-11-30 1132.29
2 2013-12-04 1111.56
3 2013-11-29 1065.36
4 2013-12-03 1050.57
5 2017-01-03 1020.56
6 2017-01-02 1013.01
7 2013-12-02 1000.49
8 2013-11-28 998.56
9 2017-01-01 987.47
10 2013-12-05 975.06
11 2016-12-29 967.02
12 2016-12-28 955.98
13 2016-12-31 955.73
14 2016-12-30 951.07
15 2013-12-01 945.67
16 2013-12-10 941.56
17 2013-11-27 937.09
18 2014-01-06 936.62
19 2016-12-27 922.42
20 2016-12-24 900.20
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