This is how HOUND smells a market.
Market data enters as raw signal.
HOUND normalizes it into a feature vector, projects it across 32 synthetic odor channels, activates 971 receptor slots, generates a scent fingerprint, compares it against memory, then decides what deserves attention.
Market data → Feature encoding → Synthetic odor → 971 receptors → Scent fingerprint → Memory → HOUND response.
The point is not to predict the next candle.
It is to give market behavior another sensory representation, so changes, similarities and unfamiliar patterns become easier to notice.
Try here :
BREAKING: Chinese illicit actors laundering funds from the $387M Bitget exploit on behalf of the alleged DPRK attackers are openly asking for support with orders in public Discord servers and Telegram channels of services they use.
Notably, Alias 4 (below) was also seen laundering funds from the Kelp DAO $292M exploit earlier this year.
I've observed the same pattern after multiple TraderTraitor attributed exploits, and I've closely tracked these groups. I plan to share more of my data on them in coming weeks.
Currently, funds are being chain-hopped via bridges and being deposited into mixing services such as Wasabi.
Alias 1 - Cc
Discord: cc02006
Discord ID: 1351486674386948148
Txn: F08657EFAEAE7B58217CD17A22BF4779582E5D080C2E92E173BC239A5D828363
Alias 2 - jack
Discord: jack_34808
Discord ID: 1553705721768714377
Txn: 68583D313A0CCC99F2702D61D05A242A69C86CAE09ED252B65F34B677C377F69
Alias 3 - Melon
Discord: under0346
Discord ID: 1394240539108573215
Txn 1: ABE2AEF8B10057E60F8259CA2CA2CD5D71D38D254960FEEE89CB3C95A964873F
Txn 2: 7BE290865901DEB1680A6D692A11392D1FDDACA0D31C48F26DCB249F2444BD6B
Alias 4 - lolo / Marin
TG: pvpcz
TGID: 6223514198
Discord: losern
Discord ID: 1024415186527985704
Txn: 8E935C19D00F40639B78BF1FD094FE48C92118F3E586AB52DF93851080CCCE15
Alias 5 - HELP ME
Discord: helpme031897
Discord ID: 1554035533817188384
Txn: 7C58CAD760EBBED54F2CA4D2146D056910B7B6688B4F524396DC8807353C2379