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Check out our Dark Pool Levels

IVOL
Quadratic Interest Rate Volatility and Inflation Hedge ETF
stock NYSE ETF

At Close
Apr 22, 2026 3:59:30 PM EDT
18.40USD-0.244%(-0.05)122,583
18.38Bid   18.41Ask   0.03Spread
Pre-market
0.00USD-100.000%(-18.44)0
After-hours
Apr 17, 2026 4:12:30 PM EDT
18.35USD-1.291%(-0.24)0
OverviewOption ChainMax PainOptionsHistoricalExchange VolumeDark Pool LevelsDark Pool PrintsExchangesShort VolumeShort Interest - DailyShort InterestBorrow Fee (CTB)Failure to Deliver (FTD)ShortsTrendsNewsTrends
IVOL Reddit Mentions
Subreddits
Limit Labels     

We have sentiment values and mention counts going back to 2017. The complete data set is available via the API.
Take me to the API
IVOL Specific Mentions
As of Apr 23, 2026 1:41:11 AM EDT (5 minutes ago)
Includes all comments and posts. Mentions per user per ticker capped at one per hour.
67 days ago • u/AKdemy • r/options • the_greeks • C
I have never seen a professional option trader using technical analysis.
That said, no one uses the wheel or single "strategies" like CSPs either.
Focus on understanding vol, skew, dispersion and understanding risk:
- Implicit scenarios: simple, custom scenarios where you change parameters of your deals (shift IVOL, spot, correlation, bucketed Greek etc.)
- Explicit scenarios: also called predictive scenarios, which are usually regression-based and take indices like the S&P, Eurostoxx, or FTSE, fetching historical data to check for correlations, etc.
sentiment 0.18
67 days ago • u/AKdemy • r/options • the_greeks • C
I have never seen a professional option trader using technical analysis.
That said, no one uses the wheel or single "strategies" like CSPs either.
Focus on understanding vol, skew, dispersion and understanding risk:
- Implicit scenarios: simple, custom scenarios where you change parameters of your deals (shift IVOL, spot, correlation, bucketed Greek etc.)
- Explicit scenarios: also called predictive scenarios, which are usually regression-based and take indices like the S&P, Eurostoxx, or FTSE, fetching historical data to check for correlations, etc.
sentiment 0.18


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