Trade options on stocks AND ETFs with real-market data, then get every closed trade graded on process — thesis, exit timing, and your personal patterns. Built for the way retail options traders actually decide.
Six surfaces, each solving a problem retail options traders hit every week — backed by real market data and explained in plain English.
Every recommendation carries a 0–100 score with tier labels — and every point is auditable. Open "Why this trade" and see exactly which signals moved it.
"Model says 68% — trades like this here actually won 61%." We stamp every prediction and grade it against real outcomes, continuously.
Before you click: expected return, best case, odds of doubling, odds of losing half, and concrete exit + stop prices — one consistent model.
Every close gets an AI post-mortem, a "what if you'd held" replay from real prices, and a breakdown of WHY the money moved — price, decay, or volatility.
Position sizes come from a conservative statistical read of your actual win odds — small while the evidence is thin, growing as it accumulates.
Publish calls before they resolve; the platform grades them publicly. Pseudonymous profiles, verified records, percent returns only — no screenshot bragging.
Where Opus Options Trading stacks up against the desktop incumbents.
Good education, but no learning loop on your own trades
Professional tools, no process grading or calibration
Advanced desktop, black-box scores you can't audit
Auditable scores + outcome-calibrated probabilities + verified community