# STEEM-flow weekly report #6

Average STEEM flow intensity for last 16 weeks:

My previous report -> STEEM flow report #5

Price chart: coinmarketcap.com

Most interesting part was started on May 8 (week 19) and then was subsequently spike on June 5 (week 23). The March spike was only first small hill on the way to peak climbing. So, STEEM maximal flow to exchanges was at the same weeks 11, 19 and 23 as a price spikes. Is it a fortuity?

It is interesting that SBD flow shows something new: we see constantly growing of SBD flow out to exchanges. SBD sell price sometimes jumped over 2 USD on exchanges and it is very profitable to sell it outside.

Even more interesting thing - the STEEM flow was prevailed in direction from exchange on week 25! I did not remember such behavior early.

Internal SBD conversion become more popular from week to week as well. Steemians more actively start using post promotion to "null".

Power up/down ratio is not threaten and I hope we will see more vesting in future.

So, I see positive movements for STEEM economy.

Also I would like to present a new script steem_out.py capable to send daily Steem-flow statistics to xmpp-client:

$ ./steem_out.py
steem:13315889:13344683

--------------------------------------
time_stamp          | block
--------------------+-----------------
2017-07-02T23:59:18 | 13344683
2017-07-01T23:59:12 | 13315889
--------------------+-----------------
(1 day, 0:00:06, 1440.1 minutes passed #28794 blocks)

total transfers: 6291 including:

------------------------------------------------------
           | spm   | STEEM    | $pm  | SBD     | tx
-----------+-------+----------+------+---------+------
->exchange | 126.6 | 182356.5 | 28.1 | 40447.1 | 857
<-exchange | 47.4  | 68317.8  | 5.4  | 7789.1  | 441
-----------+-------+----------+------+---------+------
to/from exchange ratio: 2.67:1 STEEM, 5.19:1 SBD
between_users: 4682
between_exchanges: 16

vesting:  76.2 spm  | 109793.5 STEEM | 1088 tx
withdraw: 0.71 MVpm | 1024.6 MV      | 280 tx

--------------------------------
         | $pm | SBD    | tx
---------+-----+--------+-------
to null  | 0.4 | 632.6  | 295
convert  | 1.0 | 1474.6 | 321
---------+-----+--------+-------

feed base: 897 (1.631 SBD), each 0:01:36.210702

All source code on Python is available on github.