Options Analytics

Expected Move

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

Expiration Date DTE Price~ Expected Move Expected Move% Upper Bound Lower Bound Implied Volatility
07/27/26 (Mon) 2 381.7 5.5 1.44% 387.2 376.2 22.59%
07/31/26 (Fri) 6 381.7 23.38 6.12% 405.07 358.32 65.43%
08/03/26 (Mon) 9 381.7 24.12 6.32% 405.82 357.58 56.2%
08/05/26 (Wed) 11 381.7 25.18 6.6% 406.88 356.52 53.52%
08/07/26 (Fri) 13 381.7 26.24 6.88% 407.94 355.46 51.59%
08/14/26 (Fri) 20 381.7 28.9 7.57% 410.6 352.8 46.46%
08/21/26 (Fri) 27 381.7 30.96 8.11% 412.66 350.74 42.91%
08/28/26 (Fri) 34 381.7 33.23 8.71% 414.94 348.46 41.45%
09/04/26 (Fri) 41 381.7 35.27 9.24% 416.97 346.43 40.17%
09/18/26 (Fri) 55 381.7 38.97 10.21% 420.67 342.73 38.44%
10/16/26 (Fri) 83 381.7 45.73 11.98% 427.43 335.97 36.82%
11/20/26 (Fri) 118 381.7 55.76 14.61% 437.46 325.94 37.8%
12/18/26 (Fri) 146 381.7 60.37 15.82% 442.07 321.33 36.91%
01/15/27 (Fri) 174 381.7 64.85 16.99% 446.55 316.85 36.29%
03/19/27 (Fri) 237 381.7 75.46 19.77% 457.16 306.24 36.4%
06/17/27 (Thu) 327 381.7 88.25 23.12% 469.95 293.45 36.38%
09/17/27 (Fri) 419 381.7 100.07 26.22% 481.77 281.63 36.61%
12/17/27 (Fri) 510 381.7 110.35 28.91% 492.05 271.35 36.79%
01/21/28 (Fri) 545 381.7 113.75 29.8% 495.45 267.95 36.67%
06/16/28 (Fri) 692 381.7 128.07 33.55% 509.77 253.63 36.99%
12/15/28 (Fri) 874 381.7 142.78 37.41% 524.48 238.92 37.08%

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.