How OptionsKing works

OptionsKing pulls the option chain for the tickers you follow and gives every candidate strike a confidence score from 0 to 100. The list runs highest score first. You choose how many to see, and you can narrow it by ROI. There is no minimum score, so the list is the best of what was there that day rather than a set of trades that passed a test.

One number, and the order follows it

Most screeners answer the question "what are the highest-yielding options right now". That question has an answer every single day, and on most days the answer is a list of trades you should not take. Yield sorts best where the risk is worst.

OptionsKing sorts by something else: how sound the setup is. Every candidate gets a confidence score from 0 to 100, printed on its card, and the list runs from the top score down. Return doesn't touch that order. It sits on the card as its own number, and if you only want trades paying, say, 1% or more over their life, the ROI filter keeps those and leaves them in score order. You pick how many to show, from one to twenty.

Be clear about what that does not do. There is no minimum score, so nothing is withheld for being weak. On a quiet week the first idea on your list can still be a bad trade, and it will still be first. Its card will say something like 52, in red. That number is on the card for exactly this reason. Read it.

Deterministic, and why that matters

The same inputs produce the same score every time. No sampling, no model that drifts between releases, no number that changes because a service was retrained overnight. If a setup scored 78 on Tuesday and 78 again on Friday, the inputs did not move.

The scoring itself is proprietary and stays that way. What is worth publishing is what it weighs in general terms, unranked and without weights: liquidity, volatility, and event risk in the expiry window. Every options educator names those three. The composition is the part that took the work.

What the score is not

It is not a prediction. A 90 does not mean the trade will work, and it does not mean the trade is more profitable than an 80. It means more of the checks the engine runs came back clean. A high-scoring trade can still be assigned, still lose money, and still be the right decision in hindsight.

It also doesn't know what the trade pays. A 90 on a strike that collects $12 is still a 90. That is deliberate. The score answers one question and the ROI on the card answers the other, and mixing them into one number would hide which of the two you were looking at. Put them together yourself, or let the ROI filter do it.

It is also not personalized advice. The engine does not know your tax situation, your other positions, your income, or whether you can afford to own 100 shares of the thing it just suggested selling a put on. Those are yours.

Where the numbers come from

• Quotes come from a market-data provider through the OptionsKing backend, and they are delayed. The app labels them "Delayed (~15 min)" everywhere they appear. It never presents a delayed price as live, and it will not show you a cached price when a fresh one cannot be fetched. It shows an error instead.
• Greeks and probabilities are computed with a Black-Scholes implementation matched to the reference library to full double precision. The same math runs the free calculators on this site, so the two cannot disagree.
• Outcomes come from you. The app tracks the trades you tell it you took and reports what they actually earned, including the ones that went badly.

What it will never do

It does not place trades. It does not connect to, read, or link a brokerage account. It does not have a mode where it trades for you, and there is no plan for one. The app is an opinion you evaluate, and the decision and the outcome are yours. That is not a legal hedge, it is the design.

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