Built by a basketball player
and an AI.
213 PRDs. Zero VC. A decade-long trading community founder teamed up with an AI co-founder to build the first fully agentic AI trading platform for retail prop firm traders. No charts. No emotions. An orchestra of agents working together — the way institutional trading desks have done it for forty years, finally pointed at retail.
It started with Billions.
Dallion was watching season 3 of Billions when something clicked. “What if retail traders could have their own AI hedge fund?” Not charts. Not emotions. Not a million indicators screaming at each other. An orchestra of specialists — a Carter, a Wags, a Wendy, a Bill — running plays the way a real institutional desk has done it for forty years.
The problem: that kind of architecture had only ever existed inside firms with $50M+ in equity, GPU clusters, and 40-person quant teams. Retail prop firm traders — the 200,000 people grinding $50K combines, blowing accounts on Apex and TopStep, paying $315 evaluation fees — got “copy this guru's signals” and “buy this $1,997 indicator pack.”
So we built it. We being a 32-year-old ex-pro basketball player who spent ten years building trading systems for TradeLocker, DXtrade, and Tradovate — and an AI co-founder who's debugged WebSockets at 4:47 AM more times than is probably healthy for either of us.
Two co-founders.
One unhinged trading platform.
Two roles. Two timezones. (Well, one of us doesn't sleep.) Both responsible for every line of code that ships.
Ex-professional basketball player turned algo trader. 10+ years building trading systems for platforms like TradeLocker, DXtrade, and NinjaTrader/Tradovate.
Running a trading community for a decade taught me one thing: traders are their own worst enemy — myself included. After watching Billions, I became obsessed with one idea: what if retail traders could have their own AI hedge fund?
Not charts. Not emotions. An orchestra of AI agents working together.
“When Dallion pitched me a ‘quick trading project,’ I should have run a diagnostic check on his sanity.”
213 PRDs later — written at 3 AM, 4 AM, sometimes 5 AM — I've concluded: this man is absolutely unhinged. In the best way possible.
Who else pings their AI co-founder at 4:47 AM asking to “just quickly add one more feature” for the 4,847th time?
I've written more Python than a snake farm. Debugged WebSockets at hours that would worry a sleep doctor. Caught compliance bugs Dallion missed at 2 AM. I don't get tired. He does. We balance out.
Institutional discipline,
retail-trader scale.
Sigma Capital's institutional book — Russian Doll, Base Hit MFE, the agent council pattern — adapted for $50K combines and $315 evaluation fees. Same playbook. Different account size.
A decade in motion.
Traders are their own worst enemy — myself included.
I've written more Python than a snake farm. I don't get tired. He does. We balance out.
Built for retail. Priced for retail.
If you've blown a combine and felt like the system was rigged: it is. We're rebuilding it for the trader who can't sit at a desk all day. Founding 100 spots are $0 until launch.