@CastilloTrading Agreed. Anyone with a pair of functioning eyeballs can take one look at OTHERS and realize something is brewing with alts. They've been down-only for 2+ years.
@Anon10768141740 you've probably got $37 in your robinhood account and are tweeting this from the bathroom of hooters after getting stood up for the 4th time this month.
Do people not realize this is the same kind of goofball take as getting giga-bullish after a massive move?
Waiting until everything is in the gutter to get bearish means you're emotional and late.
Castillo takes more care to post setups and explain WHY he's posting them than anyone else on here save for one or two others.
Comments like this are so breathtakingly braindead.
Study the coins showing strength while bitcoin:native and ethereum:native are sputtering.
$SERV up 18% on the day and holding support well. Another big volume surge and this will blow past $100M market cap.
One of the most solid teams in the space.
$OTHERS - I've posted about this non-stop for weeks, if not longer.
It's striking to see such relative strength here while bitcoin:native and ethereum:native are collectively crapping themselves.
Break and hold above this blue trend line, and things may get interesting.
This chart hasn't seen a double-green supertrend since Nov '24.
This is the first step.
Together with NEOL, we’ve begun deploying SERV Reasoning into real government-grade AI workloads, already live with the UAE government.
NEOL uses AI agents to surface the right people, relationships, and institutional knowledge for governments and large institutions making high-stakes decisions.
For that to work, “usually right” isn’t enough.
The agent needs to be reliable, reproducible, and auditable.
SERV Reasoning enabled NEOL to move from brittle prompt-based agents to structured reasoning graphs their team can inspect, test, and improve systematically, reaching 100% accuracy on key production agents.
That matters because when a government client asks why a certain person was recommended, NEOL can now point to the reasoning structure behind the decision.
Not a black box.
Not a guess.
A traceable decision process.
This is the beginning of something much larger.
Every enterprise, government, and public institution trying to deploy AI into serious workflows will run into the same wall: agents that are too unreliable, too opaque, and too difficult to audit.
That is exactly the wall SERV Reasoning was built to break through.
Our aim is to keep expanding what we unlock with NEOL, deepen the relationship across more institutional use cases, and bring this same reasoning infrastructure to the enterprises and governments that need AI they can actually trust in production.
The future of institutional AI cannot run on todays infra, it needs specialized AI reasoning that can be tested, audited, reproduced, and trusted.
That is the institutional gap SERV is plugging.