Most trading tools sell every metric as an edge. That's the business model — more signals, more subscriptions. We do the opposite: we read the research, grade each metric by how much the evidence actually supports it, and tell you when a popular one doesn't hold up. Honesty isn't a disclaimer here. It's the product.
Every metric in GradientView — options desk, portfolio, or value — carries one of these badges. Tap it in the app and you get the paper, the finding, and the replication status in plain language.
A number without meaning is just noise you pay for. Every metric in the product renders the same three ways — the standard we hold ourselves to.
One plain-language sentence about the current state — no jargon defining jargon.
The number's place in its own history, and the base rate of what has typically followed — as frequencies, never predictions.
The badge — and behind it, the citation and replication status, in language you don't need a PhD to read.
Published market anomalies weaken about a quarter out-of-sample and more than half after publication, as the world trades against them. We assume any single-name "options predict stocks" edge is roughly half as strong now as its paper claimed — and grade accordingly. McLean & Pontiff (2016).
Common look-ahead filters in options research inflate reported Sharpe ratios by an order of magnitude — from around 0.5 to above 5. A spectacular backtest is a reason for suspicion, not excitement. Nothing we surface leans on ex-post information a trader wouldn't have had. Duarte, Jones, Khorram, Mo & Wang (2025).
A signal with a clear economic reason to exist — a risk premium, a hedging flow, a funding cost — survives better than one that's merely a historical pattern. The durable grades all have mechanisms; we're skeptical of the ones that don't.
Dealer positioning, the sign of options flow, "who's on the other side" — much of what popular tools present as fact is actually estimated. Where we infer, we say so, badge it Conditional, and give you the assumption to adjust.
GradientView computes; you decide. It issues no buy/sell signals, places no trades, and makes no recommendations. It shows you your risk and the market's structure honestly — the judgment stays yours.
That's the whole idea. Everything else — the desks, the risk lab, the screeners — is built on it.