How amazing would it be if we had this kind of data for publicly traded stocks?
The MtGox 500
11–20 of 43 posts
Re: The MtGox 500
#12The biggest take away from this is that bots were driving the price up, and preventing its fall.
"Bots" offer a lot of stability to the market because they don't react to bad news. Though an error can cause "flash crashes" As happened in May of 2010 on the stock market.
Re: The MtGox 500
#13Fun stuff. Bryan if this is your site can you add to the plot in the corner a dot with net value change? Assume that all bitcoin "held" are currently worthless, so a holding of 10 btc at the end would be -10*last sale price recorded on the exchange. That would give an interesting idea of which traders "won" the game and which "lost."
Re: The MtGox 500
#14I’m not sure I understand the difference between the green Selling BitCoins (to get Dollars, presumably) and Buying Dollars (by selling BitCoins, also presumably). I’m even more puzzled by the rates out of trade: did MtGox allowed traders to agree one-on-one on their own rates? That would allow a lot more laundering than any theft. Missing too are relative size of the traders.
Yes, you used to be able to trade via dark pool in large amounts (at the time, that would be 5+ kbtc) to avoid upsetting the market price. Not sure if they still supported it at time of closure. This is actually rather scary. Enough people have logged data that these can be dereferenced despite the feeble attempt at depersonalization, but I guess the names will come out in the legal proceedings anyway, depending on j…
I don't think the (publicly) leaked database contained any usernames/emails.
Re: The MtGox 500
#15Any theories on user 15? The amount of money lost is a little easier to get your head around when you see so many traders buying at relatively high prices towards the end.
[deleted]
Re: The MtGox 500
#16Users 1 and 15's charts make no sense - they have to be special system accounts of some sort. My guess is that #15 is the account that receives trading fees, and #1 represents MtGox itself (or some specific aspect of MtGox, such as its cold-storage).
There're still a lot of points on these plots that don't make sense, though; generally they look like vertical stripes labelled as sets of small sell orders, both far below and far above the market price. User 30 has what looks like a large sell (in Mar 2013) far above the highest-ever price. So either MtGox's order-matching is way more broken than anyone ever knew (unlikely), or these actually represent fees, withdraws, or something similar, and the y-axis position is meaningless.
Also worthy of note is that massive sell order by user 1 in Nov 2013. That's hard to interpret without knowing what the dots on that graph really mean (I doubt they're trades), but it's likely significant.
Re: The MtGox 500
#17Fun stuff. Bryan if this is your site can you add to the plot in the corner a dot with net value change? Assume that all bitcoin "held" are currently worthless, so a holding of 10 btc at the end would be -10*last sale price recorded on the exchange. That would give an interesting idea of which traders "won" the game and which "lost."
This project was built by https://twitter.com/syntagmatic and https://twitter.com/mbecica.
Re: The MtGox 500
#18Any theories on user 15? The amount of money lost is a little easier to get your head around when you see so many traders buying at relatively high prices towards the end.
Sounds like a bug in the author's graph generation code or some incorrect data in MtGox's database. The price didn't vary that much.
Re: The MtGox 500
#19How amazing would it be if we had this kind of data for publicly traded stocks?
For some classes of investors, we do
Re: The MtGox 500
#20The biggest take away from this is that bots were driving the price up, and preventing its fall. "Bots" offer a lot of stability to the market because they don't react to bad news. Though an error can cause "flash crashes" As happened in May of 2010 on the stock market. http://en.wikipedia.org/wiki/2010_Flash_Crash
How exactly did these charts lead you to that conclusion?