Highest Volatility Risk Premium (IV − HV)
As of June 8, 2026 (end-of-day snapshot). Pages update daily after the market close.
Names where 30-day implied volatility is richest relative to recent realized 20-day volatility. A large positive IV − HV spread is a common premium-selling screening signal, useful for finding candidates, but still dependent on sizing, liquidity, and tail-risk discipline.
Top 50 by IV − HV
The live volatility-risk-premium leaderboard loads after the page hydrates. Rows are ranked by the largest IV − HV spread (30-day ATM implied vol minus 20-day historical vol), a common premium-selling screening signal.
Methodology
Primary sort metric: 30-day ATM implied vol minus 20-day historical vol. The IV/HV ratio is shown as a display column but not used for ranking; ratios blow up when realized vol is near zero. Eligibility: total open interest ≥ 50,000, spot ≥ $5. Sourced from daily end-of-day snapshots.
Frequently Asked Questions
What is the volatility risk premium?
VRP is the empirical tendency for implied volatility to exceed subsequent realized volatility on average. Across the equity universe, IV typically prints 2–5 percentage points above realized HV measured over the same horizon. The persistent gap is the structural reason systematic premium-selling strategies have historically produced positive expected returns: buyers pay for left-tail insurance, sellers collect that premium for bearing the risk. Realized edge varies widely by regime, transaction costs, and tail-event sizing; chronic high-VRP names sometimes pay for a real tail risk that periodically materializes.
Why rank by spread instead of ratio?
Spreads (IV minus HV) are additive and stable across the universe; they have a meaningful zero point and behave predictably even on low-vol names. Ratios (IV / HV) blow up when realized vol is near zero, producing absurd values that dominate any ranking purely from the denominator. As a ranking metric the spread is more robust and produces a more interpretable leaderboard. We show both spread and ratio in the table so traders can see both views, but the ranking sort is by spread to avoid the divide-by-near-zero pathologies.
Is selling premium on these names automatically profitable?
No. High VRP is a necessary condition for premium-selling edge, not a sufficient one. Profitable premium selling requires sizing discipline (so a single tail event does not erase a year of gains), tail management (long wings or stop-loss rules), and transaction-cost control (bid-ask spreads on the underlying contracts can erode edge on tight VRP). A chronically high VRP name may be paying you for a real tail risk that periodically materializes; that is why the premium exists, not a free lunch.
Which HV tenor do you use?
20-day historical vol: 20 trading days, approximately one calendar month, which aligns with the 30-day implied vol tenor on the implied side. That is the industry-standard comparison used in academic literature on the volatility risk premium and is the same tenor pair used by tastytrade, the original popularizer of VRP-based retail premium-selling strategies. Other HV tenors (10d, 60d, 90d) are tracked on each ticker's IV/HV History page if you need term-structure-specific comparisons.
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.