Biggest Skew Change
As of June 8, 2026 (end-of-day snapshot). Pages update daily after the market close.
Where the 25-delta put-call skew has shifted most sharply from the prior session. Steepening typically signals fresh crash-protection demand: institutional hedging loading or retail put buying on news. Flattening often signals complacency or forced short-vol sellers covering.
Top 50 by Δ Skew
The live skew-change leaderboard loads after the page hydrates. Rows are ranked by absolute day-over-day change in 25-delta put-call skew.
Methodology
Computed as today's 25Δ skew − prior session's 25Δ skew. Ranked by |Δ| descending. Same eligibility filters as the level screener. Requires two consecutive sessions.
Frequently Asked Questions
How big is a meaningful change?
For single stocks, 0.5 vol-point day-over-day in the 25-delta put-call skew is roughly noise level: within the typical session-to-session jitter from minor positioning rotations. 1.0–1.5 vol-points is a meaningful shift that warrants attention, often coinciding with sector-level news or fresh hedging flow. Above 2.0 is extreme and almost always traces to a specific catalyst (downgrade, sector rotation, macro event). For broad-market index ETFs (SPY, QQQ, IWM), thresholds are tighter; index skew is typically more stable, so 0.5 vol-points on SPY is more meaningful than 0.5 on a single stock.
Is steepening always bearish?
Not necessarily. Steepening can occur from several mechanisms: (1) fresh put demand (institutions buying downside protection as a bearish hedge or speculative bet); (2) retail call demand collapsing (calls cheapen without puts richening, mechanically widening the gap); (3) dealer-hedging shifts where market makers reposition the inventory they carry on each side; (4) volatility-of-volatility repricing during macro events. Directional interpretation comes from spot price action, not skew motion alone. A name with steepening skew but stable spot price is in a different regime from one with steepening skew and a sharp downward move.
Does this duplicate biggest-iv-change?
No. The two metrics measure different dimensions of vol-curve motion. IV change tracks the overall level (where ATM IV moved day-over-day). Skew change tracks the ASYMMETRY across strikes (how much wider the put-IV-minus-call-IV gap got, regardless of whether the absolute level moved). Unchanged ATM IV with a massive skew shift is the classic puts-loading regime: vol pricing didn't broadly move, but the wings repriced asymmetrically. Cross-referencing both screeners surfaces what is actually changing on a name; they are complementary rather than overlapping.
Why the liquidity gate?
Thin chains produce noisy skew estimates from small open-interest imbalances rather than real positioning change. A single trade on a low-OI 25-delta put strike can swing the computed skew by several vol-points without representing meaningful positioning flow. The 50,000-contract total OI floor and $5 spot floor filter out names where the skew metric is statistically unstable, keeping the leaderboard focused on tickers where the day-over-day change reflects genuine institutional or retail flow rather than measurement noise.
How fresh is the data on this screener?
All public screener data refreshes once per trading day after the 4:00 PM ET market close, typically available by 5:30 PM ET. The platform uses end-of-day OPRA aggregates which are licensed for free public display. Authenticated API-tier users with their own Tradier or tastytrade BYOK credentials can pull intraday data through the streaming endpoints.
Where does the underlying data come from?
End-of-day OPRA aggregates for the options data, exchange-published stock prices for the spot reference, and a calibrated implied-volatility surface computed from the listed chain. Ranking metrics like IV rank, GEX, and unusual-activity counts are computed nightly from these primary inputs. Methodology details are in each screener's "How it's computed" section above.
Are these stocks recommended trades?
No. The screener is a ranked list of names that meet a quantitative filter at the close of the prior trading session, a research starting point, not a buy or sell signal. Whether any name on the list represents a tradeable opportunity depends on the underlying catalyst, your strategy, current market context, and risk tolerance. The platform does not give trade advice; the lists are descriptive, not prescriptive.
How often does the ranking change?
The ranking refreshes every trading day after the close. Names move on and off the list as their underlying metric (IV rank, gamma exposure, volume, etc.) crosses thresholds. Most screeners show meaningful day-over-day churn at the top of the list during active markets and lower turnover during low-volatility regimes. The "biggest change" screeners specifically target fast-moving names.
Is the screener tradeable in real-time during market hours?
The screener itself ranks on end-of-day data. To trade names on the list during market hours, use your own broker's real-time chain data; the platform's per-ticker pages link directly to real-time chains for authenticated users. The screener's job is to surface the universe of candidates that met yesterday's filter; the trade decision uses live data.
Can I export the ranked list?
Pro and API tier users can export rankings via the API (REST endpoint per screener slug returns a JSON list with all metric columns) or pull them programmatically through the Python SDK. Free users have the full ranking visible on the page; programmatic access requires authentication. Daily snapshots are also available for backtesting research through the API tier.