Quantiv
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About·Quantiv

What options
are saying.

Quantiv reads the options chain like a tape. For every print we measure what the market is paying for movement, what the stock has actually delivered across the last twelve quarters, and where today's premium sits inside its own 52-week history.

Names
0
tracked across our universe
Chains
0.0K
snapped per week
History
0 yrs
of realized data
Refresh
1440 min
chain to UI latency
What we measure

Three lenses on every print.

Pricing

Implied move

The print-expiry ATM straddle prices a ±1σ move. We surface both straddle-implied EM and the IV-implied EM (S₀·σ_ATM·√T) side-by-side. When they diverge, the gap is the skew premium dealers are charging.
History

Realized track record

Close-to-close moves over the last twelve quarters, bracketed by BMO/AMC timing. Hist edge = (straddle EM − 4Q realized avg) / 4Q realized avg. Positive when options are pricing it richer than the stock has delivered.
Model

ML forecast

A LightGBM ensemble trained walk-forward on chain features (term IV, skew, vega, DTE) and realized history. Outputs P10–P90 quantiles of |move|. Tight 80% bands = the model is confident; wide bands = priced uncertainty.
Models & math

The pricing engine, in seven lines.

Every chart on the ticker page traces back to one of these formulas. We show the math because the assumptions behind it (log-normal returns, constant volatility over the horizon) matter for how you read the output.

Straddle EM

What dealers are pricing

ATM straddle mid divided by spot. The print-expiry straddle prices a ±1σ move at expiry. Collect it if you think the stock will move less than implied; pay it if you think more.

IV-based EM

Scale IV to the horizon

ATM IV is annualized. To compare it with the straddle move, we scale it down to the print expiry. Front-month IV bakes in earnings risk; the next expiry is your ‘quieter’ reference.

Greeks

Black–Scholes with dividends

IV is solved with Brent's method to 1e-6 tolerance from mid quotes. Greeks are surfaced per expiry so you can see how delta-flat your position is, how much it'll move on a 1-vol jump, and how fast theta accelerates into print.

Density

Two-sided log-normal probability

The hover probability on the density bar uses the correct asymmetric form. Naïve 2·(1 − Φ(z₊)) slightly overstates the tail because the downside in simple-return space is fatter than the upside.

Hist edge

Rich versus what actually printed

Compares today's implied move to the average |close-to-close| over the last four prints. ≥ +20% = options are pricing the print at least a fifth richer than recent history. Sample size is small; treat as a quick prior, not a signal.

Forecast

LightGBM quantile ensemble

Five gradient-boosted models, one per quantile of |move|, trained walk-forward across every observed earnings event in the universe with no look-ahead. The 80% band P10–P90 is the model's confidence interval, not a guarantee.

How it works

From chains to decisions, hourly.

01

Chain

Hourly OPRA chain snapshots covering every listed expiry and every strike. Landed into a DuckDB-backed parquet warehouse.

02

Math

Black–Scholes with dividend yield. Brent solver for IV to 1e-6. Term IV, ATM skew, vega, straddle EM and 80% bands on the print expiry.

03

History

Realized close-to-close moves bracketed by Finnhub-grade earnings timing (BMO/AMC). Twelve quarters per name; EPS / revenue overlay where available.

04

Score

Rich-vs-hist edge, IV rank vs trailing 52w, and the LightGBM ensemble’s edge over options. Names ranked so the interesting ones rise to the top of the screener.

Quantiv is a research tool, not a recommendation. The same option chain can support opposite trades depending on conviction, position, and risk tolerance. We surface signal; you bring judgement, and read the small print on every formula above.
Disclaimer. Quantiv is for educational and informational use only. Options trading carries substantial risk including loss of principal. Implied volatility, model quantiles, and historical realized moves are descriptive statistics, not predictions. Past performance does not guarantee future results. Nothing on this site is investment advice.