Guide · July 25, 2026

Turning a market view into an options structure

Written and reviewed by ConvexValue · Updated July 25, 2026

Most options tools work forwards: pick a structure, then see what it pays. The more useful direction is backwards — state the view and the constraints, and let the chain propose the structures that express it.

That inversion is only possible if the view is specified properly, which is what this guide is about.

Specify the view, not the structure

A vague view produces a vague answer. Compare:

“I think NVDA goes up.”

with

“I think it reaches 500 within six months. It could crash, and I am willing to risk a fall to 200 but not more. Above 500 the extra upside does not interest me.”

The second states four things: a target, a horizon, a loss tolerance and an upside cap. Each one removes structures from consideration. A target and horizon pick strikes and expirations; a loss tolerance rules out anything with open-ended downside; an upside cap says you are willing to sell that upside to fund the rest, which is where capital efficiency comes from.

Naming the levels — even approximately — is the difference between “find me a trade” and something you could place.

The rankings disagree, and that is the output

Ask for candidates ranked by probability of profit, expected return, risk and capital efficiency and you get four different orderings. There is rarely a structure that wins all four:

  • The highest-probability structure is narrow and pays little.
  • The highest expected return sits further out and usually loses.
  • The most capital-efficient measure flatters wide spreads that seldom reach maximum profit.

Sorting by each in turn traces the trade-off surface, which is a far better basis for choosing than any single “best” answer. A tool that returns one recommendation has hidden the decision rather than made it.

Note what probability of profit means here: it is derived from the supplied implied volatility, not an independent forecast. A high figure does not establish what premium could actually be collected or paid.

Liquidity is outside the snapshot

cvforge does not provide option bids, asks, midpoint, quote sizes, NBBO, or last trades. It therefore cannot measure a quoted spread, model an executable fill, or rank structures by executable liquidity. Massive fair market value (FMV) is a proprietary estimate, not a price at which a leg can be traded.

Minimum open interest and minimum session volume can remove low-activity legs, but they are activity filters, not proof of liquidity. Any ranked structure must be checked against an executable market elsewhere before it is treated as tradeable.

Delta-neutral, briefly

“Delta-neutral” makes a list of volatility structures comparable by stripping out directional bias — otherwise you are ranking bullish and bearish trades against each other as though they answered the same question.

It describes entry only. Delta drifts as soon as the underlying moves, and a strangle that starts balanced becomes directional quickly.

Long-dated structures

Horizons beyond a year change the trade-offs. Long-dated calls tie up far less capital than shares and decay slowly, while their theoretical value embeds a volatility assumption for the whole period. The snapshot cannot tell you the price at which the position could be entered or exited.

Fields you need

fair_market_value, strike_price, expiration_date, contract_type, delta, implied_volatility, open_interest and day_volume — all on the free data tier. Any FMV-based ranking is theoretical and must be labeled accordingly.

Watch it built

More in the trade structuring section, and see payoff and P&L charts for reading the shortlist once you have it.

Nothing here is advice. Rankings based on FMV estimates are theoretical and account for no executable market, transaction costs, position, margin, assignment risk, or taxes.