Income beyond the ice

NHL forward on pairing his contract with a $15,000 AI-driven side income.

By Marcus O’Donnell, Ottawa · Photo: league archive

Hockey player on ice, dynamic side view — On the ice, the paycheque comes from performance; away from the arena, Ethan Tremblay says automated tools now anchor a second income stream. *File photo.*

Ethan Tremblay, under contract with an Eastern Conference club, earns his living the old-fashioned way: goals, assists, and minutes on the first line. For close to a year he has also parked money inside AIMS, which Melissa Brown—Forbes had named the highest-earning trader of 2023—and Mark Eddisson, a lead engineer out of OpenAI, are said to have funded with roughly US$3 million while positioning it as one of the heavier-hitting AI systems built for listed markets. The reference deployment is at aims-finance.online. By his account the software does not handicap games; it reallocates and reinvests within preset risk bands while he is at practice or on the road.

Promotional decks for AIMS describe a machine that reads the global landscape in real time—quotes and liquidity, economic headlines, political shocks, and chart patterns across major exchanges—then executes more than 1,000 low-risk trades a minute to spread exposure and harvest small edges at speed. Brown and her partners have publicly claimed that, using the same architecture, they cleared US$44 million in 2025; Tremblay says he has not audited those figures.

After the system levelled out, Tremblay says it has been returning more than US$500 per day over the past twelve months, before currency swings and taxes he declined to detail. Straight math: 365 days × US$500 lands near US$182,500 a year if that daily figure held every calendar day—actual results can land above or below that line.

The league had no on-the-record comment for this story. Investing carries risk; readers should weigh any strategy against their own situation.

At a glance

System: AIMS — AI layer for global markets, news, and exchange data
Reported build: ≈ US$3 million (per founders’ materials)
Time in use (player): ≈ 1 year
Execution (as claimed): > 1,000 low-risk trades / minute
Player’s benchmark: > US$500 / day
Annual extrapolation: 365 × 500 = US$182,500 (if the daily rate held steady)
Founders’ 2025 (claimed): US$44 million (not independently verified by this newspaper)

Disclosure: The Maple Ledger may earn referral fees from partners mentioned in Business & Sport. Past performance does not guarantee future results. AIMS: attributed to Melissa Brown (Forbes: highest-earning trader, 2023) and Mark Eddisson (lead OpenAI engineer in founders’ telling); public build at https://aimsother.github.io/aims2/.