About

What Moonlight is

Upload a screenshot of your brokerage account. Five minutes later you have a 13-page report. Factor regression, risk panel, attribution, drawdown, correlation. The kind of analytics a sell-side desk would write up for a client.

The pipeline is deterministic. The same algorithm runs for every user. No editorial layer, no recommendations, no investing advice. The report describes what’s in front of it. You decide what to do with that.

Why this exists

Institutional desks have analytics that compute portfolio beta, factor tilt, risk decomposition, and Brinson attribution in seconds. The terminals that run them carry five-figure annual fees per seat.

Retail brokerage apps don’t ship this kind of analysis at all. You can compute it yourself if you know the formulas and have the time, but no consumer product does it for you.

Moonlight is the gap-filler. The same formulas the institutional desks use. The same factor library every pension fund regresses against. Applied to the screenshot of an account you already have. One HTML report, several sections, every number traceable to the source data.

What Moonlight is not

Not a brokerage. Your account stays where it is. Not a registered investment adviser; nothing here tells you to buy or sell. Not a recommender; the report describes what’s in your portfolio and stops. Not a backtest of a strategy; every analytic is computed on the holdings you uploaded, not on a hypothetical book.

If you want someone to actually manage your money, talk to a fiduciary. This isn’t that.

Where to start

If you read the methodology before you trust a number, start there. The formulas, the percentile bands, and the trade-offs are written down.

If you’d rather see what a report looks like, open the sample. It’s a real run on a 9-position retail portfolio (Mag-7 plus VOO and QQQ), rendered at the Pro tier.

If you’re already convinced, run one on your own account.