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Daily Robosats Update 4/27/25
243 sats \ 3 comments \ @siggy47 27 Apr bitcoin

News & Views

  • It is a quiet weekend on robosats. Sell orders are outpacing buy orders by more than two to one. I think it’s fair to say that there is some spending, if not profit taking, going on. Over time I’m interested to see if these trends will mirror that of the big centralized exchanges. Book liquidity is down, while the number of robots is up. The non-KYC premium has shrunk to near 2 %.
  • @optimism has a tor site where he is compiling much more comprehensive data than I have here. I hope to use this resource to give you more detailed data in the future. Here’s the link .
  • I added one or two more links below. If anyone knows of any I am missing, please let me know.

4/27//25 data

Online RoboSats coordinators

4

Enabled Robosats Coordinators

4

Public buy orders

26

Public sell orders

53

Book liquidity (funds available to facilitate trades)

123,048,970 Sats

Number of active robots

1046

24h non-KYC bitcoin premium

2.03%

24h contracted volume (total value of agreed upon contracts)

0.37623783 bitcoin

Lifetime contracted volume (total value of all trades)

161.71163267 bitcoin

Github

Robosats Github
Optimism’s Data Site (Tor Only)

Education

Learn Robosats
Temple Of Sats FAQ

Coordinator Web Sites

Temple Of Sats
The Big Lake
Bitcoin Veneto
Over The Moon nostr link

Support And General Contact Info

Simplex Group
nostr
reddit
Matrix
Robosats Federation Status and Onion Links Site
write
preview
related posts
36 sats \ 1 reply \ @LibertasBR 27 Apr
It will be interesting to see during which periods of the week the volume is higher.
Siggy, in the date you put two "/". It would be good to include the link to the last post. #960121
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19 sats \ 0 replies \ @siggy47 OP 28 Apr
Good suggestion, and yes, I did make a typo with a double /
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0 sats \ 0 replies \ @kurszusz 28 Apr
Not just the volume, but also almost all indicators are relevant there...cause it is a small exchange, the whales and institutions are not activating there (because of the small amount of liquidity)...and in this case we can figure out the real trading habbit of retail...
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