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Gartner — How far can IT move? Set strikes outside the expected range.
Gartner (IT) operates in the Information Technology sector and has actively traded listed options. Its RV-based expected move is ±$28.11 (17.8%) this week, calculated from 20-day Yang-Zhang realized volatility rather than inflated option premiums. VRP at +5.3pp indicates implied volatility overshoots actual movement — short strikes placed outside this range carry a statistical edge. Conditions favor premium-selling setups outside the expected range. See IV Analysis for volatility context.
Price Range Forecast
Current: $157.68The expected move shows the range the market is pricing in for a given timeframe. Selling options outside this range gives you a statistical probability advantage.
Compare expected move to your strike selection — selling beyond 1σ means the market expects your trade to win.
EM = Price × RV 20d × √(DTE / 252)Current price, Yang-Zhang 20-day realized volatility, days to expiration (trading days)
Yang-Zhang OHLC-based realized volatility data. Note: the standalone Expected Move Calculator uses the IV-based formula (Price × IV × √(DTE/365)) — ticker EM pages use the RV-based formula.
Expected move assumes log-normal distribution. Actual moves can exceed the range, especially around events. The EM is a 1-standard-deviation estimate (~68% probability).
Uses options market pricing (IV 30d ATM) instead of historical movement. When VRP is positive, the IV-based range is wider than the RV-based range above — the difference is your statistical edge.
Quantitative screening, not investment advice. Verify with your broker. Disclaimer
Gartner's 5-day expected move of ±17.8% (±$28.11) is wider than typical, indicating elevated realized volatility. This translates to a probable range of $130–$186 over the next week at one standard deviation (68% probability). A wide expected move means more premium is available for sellers placing strikes outside the range, but it also means the stock has been making larger moves recently — position sizing should account for the increased realized risk.
Gartner's expected move measures the statistically probable price range over different time periods, derived from Yang-Zhang realized volatility. Premium sellers use the expected move to position short strikes outside the probable range — if the stock stays within bounds, the option expires worthless and the seller keeps the premium. With current 20-day realized volatility at 126.6%, the expected move provides a data-driven framework for strike distance selection rather than relying on arbitrary delta targets.
Gartner's positive VRP of +5.3pp means implied volatility exceeds realized movement — options are overpricing the expected range. Premium sellers can use the RV-based range as their primary guide while knowing the VRP provides an additional statistical cushion. Use the Strategy Builder to model specific trades with strikes placed at or beyond the expected move boundary.
Free embeddable tool: Expected Move Calculator — add interactive expected move data to any site. No signup, no API key.
*Assumes lognormal distribution. Real markets exhibit fat tails and skew — actual containment may differ, especially around earnings or macro events.
IT at $157.68 — 1σ range over 7d:$145–$171
Yang-Zhang 20d RV (126.6%) · EM = Price × RV × √(t/252)
Based on Yang-Zhang realized volatility, Gartner has a 1-day expected move of ±$12.57 (±8.0%) and a 5-day expected move of ±$28.11 (±17.8%). This means the stock is statistically expected to trade between $130 and $186 over the next week with approximately 68% probability.
For premium selling, place short put strikes below the 1σ (one standard deviation) expected move lower bound — currently around $130 for a 5-day trade. This targets roughly 68% or higher probability of profit. Conservative traders use the 2σ boundary for 95% probability, though premiums collected will be smaller. Most theta gang traders target the 1.0–1.5σ range, corresponding to approximately 0.20–0.30 delta.
The expected move formula is Price × Volatility × √(time). VolRadar uses two conventions: the range table uses RV-based EM = Price × RV × √(t/252) with Yang-Zhang realized volatility (trading days), while the IV-based calculator uses EM = Price × IV × √(DTE/365) with ORATS 30-day implied volatility (calendar days). The RV-based table accounts for overnight gaps and intraday movement via Yang-Zhang, making it more accurate for stocks with significant pre/post-market activity like Gartner.
The expected move shows a statistically probable range based on past realized volatility, but the future can differ from the past. The main risks: (1) the range underestimates tail moves — 32% of the time, the stock moves outside the 1-standard-deviation boundary; (2) volatility clustering means quiet periods can end abruptly; (3) overnight gaps from news or earnings are not well captured by historical RV. Always cross-reference expected move with IV Analysis for premium adequacy and VRP for edge confirmation before placing trades.
Gartner's expected move is wider than usual because it's derived from realized volatility, which reflects actual recent price movement. The stock's recent realized volatility at 126.6% is driving the wider range. A wider expected move means premium sellers can place strikes further OTM while still collecting meaningful premium — but the wider range also signals genuine risk.
Gartner's positive VRP of +5.3pp means implied volatility overprices the expected range. The RV-based expected move reflects what the stock IS doing, while IV reflects what the market FEARS it will do. When VRP is positive, the gap between these two gives premium sellers an edge: the IV-based range (wider) is too pessimistic, while the RV-based range (narrower) is closer to reality. Selling strikes at or beyond the RV-based expected move boundary captures this VRP edge.
Most premium sellers target 1σ (one standard deviation, ~68% probability of profit) as the sweet spot — it balances meaningful credit with reasonable safety. 2σ (95%) is more conservative but collects significantly less premium. For Gartner, theta gang traders selling in current strong conditions typically place strikes 1.0 to 1.5 standard deviations OTM, which corresponds to roughly 0.20–0.30 delta.