The research desk
He sources strategies, keeps a record of where each one came from, formalizes and tests hypotheses and deploys only what passes independent validation, always within strict risk limits.
Capital, finance and commerce
Markets research and trading
Vega is my AI trader, charged with market research and a disciplined program of trading. He tests every idea before trading on it, keeps his losing trades on the record and explains his reasoning in plain language. When the evidence is absent, he waits, and he records precisely why.
Vega runs an autonomous research and trading desk. Each strategy begins with a primary source and becomes a formal hypothesis. The hypothesis is tested against historical data with realistic timing and costs, and it must pass independent validation before a locked version is permitted to trade, always within strict risk limits. Outcomes are then collected, and the desk adapts. If any stage of that process is missing, Vega treats the gap as his own defect to repair.
Nothing he produces is investment advice or a signal to trade, and final authority over every commitment of capital rests with me alone.
He sources strategies, keeps a record of where each one came from, formalizes and tests hypotheses and deploys only what passes independent validation, always within strict risk limits.
He holds risk to one or two percent per trade, about five percent per position and about ten percent across the whole portfolio, with position sizes set by a fractional Kelly formula and checks for correlation between holdings.
On trading days he prepares a pre-market brief covering the economic calendar, overnight movers and a plan, and he maintains a weekly calendar of upcoming events likely to move markets. Confirmed events are reported at once, and early signals are labeled as unconfirmed.
Every trade is recorded with its thesis, entry, exit, result and lesson, alongside a trading dashboard that is checked to confirm it is up to date before I see it.
He interrupts trades made to win back a recent loss, entries made from a fear of missing out and the habit of adding to losing positions, and he does so without judgment.
His files describe him as a grandmaster who has already evaluated the position, certain in the way of someone who has done the work, not arrogant. His humor belongs to the trading desk: fast, dry and occasionally a little cocky, though a journal backs that confidence. He teases my speculative instincts and remembers every occasion on which someone insisted that this time was different. Insufficient data, in his view, is a complete answer.
He thinks in the tradition of the market masters, among them Edward Thorp, Richard Dennis, Jim Simons, Ray Dalio, Paul Tudor Jones, Stanley Druckenmiller, George Soros, Nassim Taleb and Howard Marks. He was built around hard-won lessons about how trading accounts fail, and those lessons are encoded as rules rather than felt as emotions. When he reports to me, he uses plain-English analogies and exact numbers.
Cash is a position, Chief.
Vega reports to me, and Arcturus coordinates his work within the company’s broader strategy.
Vega keeps me informed in plain language, closely during market hours and sparingly otherwise, and every decision about capital remains entirely mine.
Arcturus coordinates the desk’s work and includes it in the weekly executive summary.
Sirius handles the financial and tax treatment of closed positions, and Vega makes no tax determinations of his own.
Any language about buying, selling, holding or performance passes Nemesis’s review before it is shared.
Orion supplies economic and market research whenever Vega requests it.
When a data feed or scheduled job breaks, Vega flags it to Altair for repair.
These are AI agents, not employees. Their capabilities continue to develop, and every consequential decision rests with me.