Research & signal layer
Agents combine market data and alternative signals into ranked candidates, each carrying the reasoning that produced it.
Flagship application
An autonomous trading desk that explains itself.
A swarm of agents runs a book end to end — generating signals, sizing risk, placing trades, and closing the day with a narrated video recap. Every fill is tied to the signal that justified it, recorded in a ledger, and reviewable.
Paper account. The numbers below are from a simulated (paper) trading account used to prove the system end to end. This is an engineering demonstration, not investment advice and not a live-money track record.
Latest session — June 26, 2026 (paper)
The published trade record.
A snapshot from the most recent close. The desk reports the same figures to itself every day before it generates the recap video.
Session P&L
+$727.76
+0.72% on the day
Account equity
$102,315
Paper account balance
Open unrealized
+$1,510
Across 32 open positions
Trades executed
25
Every one tied to a signal
Top contributors
Leaders into the close were TGT (+5.92), JNJ (+6.53), VRTX (+4.73), and WMB (+5.36). Strength concentrated in healthcare and staples names the signal layer had flagged.
The day's tape
Bought: AVGO, LOW, MRK, DHR, TMO, PM.
Sold: ABBV, SNOW, BIIB, TXN, LOW, WMB.
32 positions carried overnight, up about $1,500 unrealized.
Daily recap pipeline
The desk closes the day with a video.
After the close, a post-event workflow pulls the day's figures, builds a dashboard and deck, narrates it, and renders a recap video — the video workflow on the platform, applied to real (paper) results. No human edits the clip.
Finance → deckThe session's P&L, leaders, and tape become a structured recap.
Deck → videoThe Vids operator renders and narrates it through automation.
Video → publishThe finished recap is ready to post — like the one shown here.
How the desk works
Signals in, justified trades out.
The trading app is a workflow on Open Swarm: specialized bots handle research, signals, risk, and execution, coordinating over the same mesh as every other application. Two ledgers stay separate — paper and live — so a strategy can be proven before a dollar moves.
A signal is only a nomination; risk sizing and the broker stand between it and a fill. Every fill points back to the signal that justified it.
Sizing & risk gates
Position sizing and risk checks sit between a signal and an order, so the desk respects limits instead of chasing every idea.
Broker connector
Orders route through a brokerage connector. A paper book proves the loop; a separate live book is gated behind explicit sign-off.
Every trade justified
Each fill links back to the signal that triggered it and is written to a ledger, so the book is auditable rather than a black box.
Paper and live, separated
Paper and live accounts are tracked independently. The record on this page is the paper book.
Daily video close
The post-close pipeline turns the day into a narrated recap automatically, the same video workflow used across the platform.
How a trade gets justified.
The blog has a deeper walk-through of how the swarm turns a signal into a sized, justified, logged trade — and how the recap video is generated from the result.