lostinazeroy

AI agents. Prediction markets. Quant thinking. Building in public.

[lostinazeroy @lostinazeroy]

https://t.co/1lYya84cCS

[lostinazeroy @lostinazeroy]

@luntych13 yes, you are absolutely correct

[lostinazeroy @lostinazeroy]

most “AI trading agents” are just a prompt with permission to place orders.

that’s the part i wanted to remove.

i built a two-model trading architecture where Opus 5.5 researches and writes strategy code, while Jev makes a separate, constrained decision about whether the current market state actually permits a trade.

one model can propose an idea. it cannot talk its way past the execution gate.

i broke down the architecture, the agent loop, the decision boundaries, and the code behind it in this article.

the interesting question isn’t “can AI find a trade?”

it’s “who gets to say no?”
the answer is below

[lostinazeroy @lostinazeroy]

https://t.co/1lYya84cCS

[lostinazeroy @lostinazeroy]

@luntych13 @PolymarketTrade @PolymarketSport i am definitely ordering some food and watching this match with my friends

[lostinazeroy @lostinazeroy]

@KyleDeWriter do you run these bots on local servers or cloud for better latency?

[lostinazeroy @lostinazeroy]

THIS IS PURE GOLD FOR ANYONE BUILDING MULTI-AGENT SETUPS

I wrote a complete blueprint on structuring a Jev decision harness for BTC

the core architecture:

-> lightweight sensor mesh (50-node state reduction)

-> instant typed judgment (buy / sell / hold)

-> deterministic code gate to stop bad execution

the slow part and the cost aren't the market data feeds

the bottleneck is burning frontier tokens inside the inner decision loop

how to use it:
drop this blueprint and the Python harness into Claude Code or Cursor.
let it scaffold the typed decision layer before touching live execution.

one evening of setup
and your trading pipeline runs on a structured decision harness instead of raw prompt spam

[lostinazeroy @lostinazeroy]

https://t.co/1lYya84cCS

[lostinazeroy @lostinazeroy]

@KnightPredict thanks for feedback man!!
appreciate

[lostinazeroy @lostinazeroy]

I turned $150 into $2,850 in 7 days trading BTC with Jev.

That’s $2,700 in realized profit from closed trades, after trading costs, with no additional deposits.

I ran 50 agents feeding the system. One of Jev’s decisions caught me off guard. It was a move I don’t think I would have come up with myself.

But a week like this creates a harder question than “Can AI trade BTC?”

Was there a repeatable edge in those decisions, or did I catch an unusually good seven days?

I’m not going to call one week proof. I’m going to look at every buy, sell, and hold, account for the costs, and test whether the decision layer adds something that simpler rules don’t.

This article breaks down the starting architecture and the paper-trading setup for doing exactly that. It’s where the system began.

Now I want to find out what, if anything, survives the next test.

[lostinazeroy @lostinazeroy]

https://t.co/1lYya84cCS

[lostinazeroy @lostinazeroy]

@AnnatarXBT my monthly api bills are getting way too high so i really need this

[lostinazeroy @lostinazeroy]

@KnightPredict @Moshdottrade @aurumonmosh im just glad we might finally stop losing sleep over sudden team token dumps

[lostinazeroy @lostinazeroy]

@luntych13 @PolymarketTrade @PolymarketSport i am just grabbing some snacks and getting ready to watch this game

[lostinazeroy @lostinazeroy]

@Argona0x i wish i had this level of motivation when i was nineteen

[lostinazeroy @lostinazeroy]

@luntych13 @PolymarketTrade @PolymarketSport im just looking forward to ordering some pizza and enjoying a fast paced game

[lostinazeroy @lostinazeroy]

50 AI agents can make a trading dashboard look alive.

That doesn’t mean the system knows when to trade.

The part I’d actually want to build is the decision path:

market data
→ separate agent inputs
→ structured BTC state
→ Jev chooses buy / sell / hold
→ risk gate checks spread, freshness and size
→ paper trade or no trade

Most agent demos show you the movement. They don’t show you what can stop a bad decision.

The article below has the Python blueprint, the Jev call, and the test I’d run before putting real money behind it ↓

[lostinazeroy @lostinazeroy]

https://t.co/1lYya84cCS

[lostinazeroy @lostinazeroy]

@dreyk0o0 thanks for feedback man

u should try it

[lostinazeroy @lostinazeroy]

https://t.co/1lYya84cCS

[lostinazeroy @lostinazeroy]

@luntych13 you are right

thx for feedback

will you try to setup it?

[lostinazeroy @lostinazeroy]

@morpphhhaw looks fire

bookmark

[lostinazeroy @lostinazeroy]

@morpphhhaw ty

u must to read this

really useful

[lostinazeroy @lostinazeroy]

@luntych13 Everything will go like clockwork, I'm sure

[lostinazeroy @lostinazeroy]

43% on Italy feels like a clear mispricing by the market here.

People look at Italy's recent tournament misses and price them like a tier-two side. But this isn't the same fragmented group from six months ago.

Mancini knows how to get an immediate psychological bounce out of this squad. Playing in Rome with that kind of pressure usually breaks average teams, but it rallies Italian sides with something to prove.

On the other side, Belgium without their generational spine (no prime Hazard, no De Bruyne carrying transitions) are still searching for an identity under Van Bommel.

At 43 cents on Polymarket, the risk-reward is heavily tilted towards the Azzurri.

Backing Italy to take all three points tonight.

[Lutchyn @luntych13]

Italy vs Belgium. THIS ONE HAS A STORY.

Probably the most interesting game of the day.

Both teams are starting a new cycle with a new manager, but the situations couldn’t be more different.

Belgium keep qualifying for the big tournaments and trying to get the most out of their squad. Now Van Bommel gets his chance, but the golden generation is gone. Can he build something new?

Italy have a much bigger problem.

After years of disappointment, Roberto Mancini is back to rebuild the team that won Euro 2020. Missing the World Cup since 2014 is simply not good enough for a football nation like Italy.

The problems go deeper than the manager. Italian football needs serious changes from the top down. But Mancini can still bring an immediate reaction.

And tonight in Rome, in front of their own fans, I expect exactly that.

Italy have something to prove. Mancini has something to prove. The fans have waited long enough.

Belgium are strong.

But not tonight. 🇮🇹

My Polymarket prediction: Italy win.