| Total | Percent | Max Gain | Max Loss | |
| Sunday | 24.54784 | 15.3948517706949 | 5.44999000000001 | -4.90000000000001 |
| Monday | 24.05218 | 12.8296068751752 | 7 | -10.81 |
| Tuesday | 42.04 | 19.3084547448499 | 10.881 | -3.87100000000001 |
| Wednesday | -67.18999 | -48.4400099159623 | 54.89 | -38.89 |
| Thursday | -56.70002 | -49.0732739222904 | 13.109 | -35.25 |
| Friday | 6.00001 | -1.53202344963444 | 13.4 | -17.59999 |
| Saturday | 1.24999 | 0.863068416275368 | 1.23999000000001 | -0.500010000000003 |
Topic: Analyzing Mt. Gox (Read 996 times)
This is only for 7 days so it isn't that interesting. I'll post the one for 30 days later.
Creative - yes, that is what I was referring to.
In my view, these are just the natural growing pains of moving out of bleeding edge territory on the adoption curve. We grew too fast, people got hurt. But traders will naturally migrate to other exchanges (and more exchanges will spring up) as a result of the pain. So in the long run, the community will be more robust, and we'll further reduce the perceived single-point-of-failure issue.
In my view, these are just the natural growing pains of moving out of bleeding edge territory on the adoption curve. We grew too fast, people got hurt. But traders will naturally migrate to other exchanges (and more exchanges will spring up) as a result of the pain. So in the long run, the community will be more robust, and we'll further reduce the perceived single-point-of-failure issue.
I hope people actually do learn from this. It does seem like those trading on the other exchanges are reacting less and less to Mt. Joke collapses, which is a very healthy sign.
Go analyze their lag time its more complex: CURRENTLY 17 minutes and forever increasing..
AFAIK I would have to gather this data myself. I don't think they provide historical lag data.
Creative - yes, that is what I was referring to.
In my view, these are just the natural growing pains of moving out of bleeding edge territory on the adoption curve. We grew too fast, people got hurt. But traders will naturally migrate to other exchanges (and more exchanges will spring up) as a result of the pain. So in the long run, the community will be more robust, and we'll further reduce the perceived single-point-of-failure issue.
In my view, these are just the natural growing pains of moving out of bleeding edge territory on the adoption curve. We grew too fast, people got hurt. But traders will naturally migrate to other exchanges (and more exchanges will spring up) as a result of the pain. So in the long run, the community will be more robust, and we'll further reduce the perceived single-point-of-failure issue.
Honestly, I had been on the fence about whether the next leg was up or down, as we seemed to be terminating the symmetric wedge.
When I saw this image comparing the last big crash to the chart picture right now...
https://i.imgur.com/fZwy3xd.png
This, paired with the uncertainty, and I moved to a 50/50 position.
Then the lag spike hit. We'll see in a few minutes...but I think we're far more likely than not to have another downturn, from here ($109).
When I saw this image comparing the last big crash to the chart picture right now...
https://i.imgur.com/fZwy3xd.png
This, paired with the uncertainty, and I moved to a 50/50 position.
Then the lag spike hit. We'll see in a few minutes...but I think we're far more likely than not to have another downturn, from here ($109).
You mean based on Mt. Joke exchange rates and their currently 28m lag and low trading volume?
Honestly, I had been on the fence about whether the next leg was up or down, as we seemed to be terminating the symmetric wedge.
When I saw this image comparing the last big crash to the chart picture right now...
https://i.imgur.com/fZwy3xd.png
This, paired with the uncertainty, and I moved to a 50/50 position.
Then the lag spike hit. We'll see in a few minutes...but I think we're far more likely than not to have another downturn, from here ($109).
When I saw this image comparing the last big crash to the chart picture right now...
https://i.imgur.com/fZwy3xd.png
This, paired with the uncertainty, and I moved to a 50/50 position.
Then the lag spike hit. We'll see in a few minutes...but I think we're far more likely than not to have another downturn, from here ($109).
Go analyze their lag time its more complex: CURRENTLY 17 minutes and forever increasing..
If I were analyzing this data, the next step I'd probably make is to perform the same analysis, but after having first separated your input data into two camps, based on the larger, encompassing trend.
For example
Bucket 1 - 24h Avg is Bullish
Hour Total Max Gain Max Loss
0
1
2
Bucket 2 - 24h Avg is Bearish
Hour Total Max Gain Max Loss
0
1
2
Then, if you saw any significant variance for certain hours from one camp to the hour, you may have discovered a signal. (i.e. it is more notable to see an average gain in the short term, amidst a general downtrend, than it is to see a gain within a general uptrend.)
Another way I'd probably want to split the data - the exact same analyses as below, but additionally displaying the averages amongst gains only, and the average amongst losses only. (i.e. downturns in hour 1 tend to have 6x the magnitude of upturns in hour 1)
I'll be interested to see how this turns out!
For example
Bucket 1 - 24h Avg is Bullish
Hour Total Max Gain Max Loss
0
1
2
Bucket 2 - 24h Avg is Bearish
Hour Total Max Gain Max Loss
0
1
2
Then, if you saw any significant variance for certain hours from one camp to the hour, you may have discovered a signal. (i.e. it is more notable to see an average gain in the short term, amidst a general downtrend, than it is to see a gain within a general uptrend.)
Another way I'd probably want to split the data - the exact same analyses as below, but additionally displaying the averages amongst gains only, and the average amongst losses only. (i.e. downturns in hour 1 tend to have 6x the magnitude of upturns in hour 1)
I'll be interested to see how this turns out!
Since I like playing with numbers, here is some data I put together using the Mt. Gox API.
I looked at the first trade of every hour and compared it to the previous hour. Then for each hour of the day I added that to the hours total.
So if everyday at 1AM CST you bought coin and sold it back at 2AM CST, over the week you would have made $10.10.
I wouldn't recommend using this to try to make money, but I'm interested in feedback. I already realized it is a little confusing because at first glance you might think over the 2:00 hour it went up 10, but that actually happened from 1AM-2AM.
Hours in CST. 0 is midnight. Enjoy.
I looked at the first trade of every hour and compared it to the previous hour. Then for each hour of the day I added that to the hours total.
So if everyday at 1AM CST you bought coin and sold it back at 2AM CST, over the week you would have made $10.10.
I wouldn't recommend using this to try to make money, but I'm interested in feedback. I already realized it is a little confusing because at first glance you might think over the 2:00 hour it went up 10, but that actually happened from 1AM-2AM.
Hours in CST. 0 is midnight. Enjoy.
| Hour | Total | Max Gain | Max Loss |
| 0 | 0.652200000000022 | 2.63217 | -3.38998999999998 |
| 1 | -9.59388999999996 | 3.70000999999999 | -17.59999 |
| 2 | 10.1076099999999 | 5.79998000000001 | -0.195970000000017 |
| 3 | -0.420729999999963 | 6.56999000000002 | -4.1131 |
| 4 | -8.59320000000001 | 4.19980000000001 | -13.7 |
| 5 | -3.84286999999999 | 13.87991 | -19.2 |
| 6 | 0.65012000000003 | 7.60003 | -9.51000000000001 |
| 7 | 17.84346 | 13.109 | -9.38951999999999 |
| 8 | 11.75949 | 8.39952 | -16.759 |
| 9 | -49.03894 | 1.90001000000001 | -35.25 |
| 10 | 17.81302 | 8.68505000000002 | -3.51900999999999 |
| 11 | -10.94309 | 12.40098 | -16.1 |
| 12 | -12.26199 | 2.99000000000001 | -16 |
| 13 | -22.03871 | 10.881 | -35.53171 |
| 14 | -33.15812 | 3.8 | -34.46829 |
| 15 | 2.65399000000001 | 10.99 | -15 |
| 16 | 56.65748 | 54.89 | -1.78644 |
| 17 | -23.01694 | 13.4 | -38.89 |
| 18 | 0.365310000000008 | 8.8 | -3.41469999999998 |
| 19 | 22.31429 | 16.48159 | -1.95741000000001 |
| 20 | 26.25344 | 12.41841 | 0 |
| 21 | -12.70428 | 1.90000000000001 | -9.83636000000001 |
| 22 | 1.23339999999997 | 5.2 | -9.09711999999999 |
| 23 | -8.19104000000002 | 7.73348999999999 | -13.00001 |
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