Options Analytics

Expected Move

Market-implied ±1σ and ±2σ ranges for NVDA

Expiration Date DTE Price~ Expected Move Expected Move% Upper Bound Lower Bound Implied Volatility
01/23/26 (Fri) 7 187.05 5.99 3.2% 193.04 181.06 31.68%
01/30/26 (Fri) 14 187.05 9.14 4.89% 196.19 177.91 35.34%
02/06/26 (Fri) 21 187.05 11.54 6.17% 198.59 175.51 36.63%
02/13/26 (Fri) 28 187.05 13.2 7.05% 200.25 173.85 36.56%
02/20/26 (Fri) 35 187.05 14.47 7.74% 201.52 172.58 36.06%
02/27/26 (Fri) 42 187.05 18.32 9.79% 205.37 168.73 41.92%
03/20/26 (Fri) 63 187.05 22.74 12.16% 209.79 164.31 42.77%
04/17/26 (Fri) 91 187.05 26.71 14.28% 213.76 160.34 41.95%
05/15/26 (Fri) 119 187.05 30.79 16.46% 217.84 156.26 42.4%
06/18/26 (Thu) 153 187.05 36.04 19.27% 223.09 151.01 43.76%
07/17/26 (Fri) 182 187.05 38.95 20.82% 226.0 148.1 43.57%
08/21/26 (Fri) 217 187.05 42.61 22.78% 229.66 144.44 43.69%
09/18/26 (Fri) 245 187.05 45.94 24.56% 232.99 141.11 44.41%
12/18/26 (Fri) 336 187.05 54.38 29.07% 241.43 132.67 44.95%
01/15/27 (Fri) 364 187.05 56.52 30.22% 243.58 130.53 45.08%
06/17/27 (Thu) 517 187.05 67.7 36.19% 254.75 119.35 45.62%
12/17/27 (Fri) 700 187.05 78.99 42.23% 266.04 108.06 46.12%
01/21/28 (Fri) 735 187.05 80.62 43.1% 267.67 106.43 45.99%
12/15/28 (Fri) 1064 187.05 94.65 50.6% 281.7 92.4 45.48%

Understanding Expected Move

What is the Expected Move?

The expected move is the price range that options traders believe an asset will stay within by a specific expiration date. It is calculated using the prices of at-the-money options (straddles) and represents a one-standard-deviation (±1σ) probability, which is approximately 68%.

How to interpret the outputs

The chart visualizes the potential price range (the “cone”) for the asset over time, with both one-standard-deviation (±1σ) and two-standard-deviation (±2σ, ~95% probability) boundaries. The table below quantifies this, showing the expected move in both points and as a percentage for each upcoming expiration. This lets you see exactly how much volatility the market is pricing in for different time horizons.

Practical applications

  • Set realistic price targets for trades based on market-implied probabilities.
  • Determine optimal strike prices for spreads, condors, or straddles.
  • Compare your thesis with the market’s implied consensus to judge risk/reward.
  • Spot when expectations for volatility are unusually high or low versus history.