
Resolves to percentage of users who identify as women, if such information becomes available. If platform is not launched by EOY, resolves N/A.
See also:
🏅 Top traders
# | Name | Total profit |
---|---|---|
1 | Ṁ7 | |
2 | Ṁ1 | |
3 | Ṁ0 | |
4 | Ṁ0 | |
5 | Ṁ0 |
People are also trading
Made a multiple choice version to capture the full distribution.
Also see @chrisjbillington's shorter term market:
Lemme know if you want a Python script to do the counting for this one and I'll share
@jskf Here you go: https://gist.github.com/chrisjbillington/35f673f594fd635b868b4cb716a34bfb
And in case you don't get a chance on Feb 20th, you can filter by lover['created_time']
to only include accounts that were created before Feb 21st or whatnot.
as @MartinRandall pointed out on the main market, there could be a spike of (new) users on the 14th. Would anyone object to me moving the end date for this market back a few days in order to include these potential users?