Options Analytics

Expected Move

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

Expiration Date DTE Price~ Expected Move Expected Move% Upper Bound Lower Bound Implied Volatility
07/27/26 (Mon) 2 521.95 17.98 3.44% 539.93 503.97 55.88%
07/29/26 (Wed) 4 521.95 31.02 5.94% 552.98 490.93 74.5%
07/31/26 (Fri) 6 521.95 40.1 7.68% 562.05 481.85 81.69%
08/03/26 (Mon) 9 521.95 44.35 8.5% 566.3 477.6 75.78%
08/05/26 (Wed) 11 521.95 58.61 11.23% 580.56 463.34 91.23%
08/07/26 (Fri) 13 521.95 62.18 11.91% 584.13 459.77 89.69%
08/14/26 (Fri) 20 521.95 72.65 13.92% 594.6 449.3 85.72%
08/21/26 (Fri) 27 521.95 80.3 15.39% 602.25 441.65 82.13%
08/28/26 (Fri) 34 521.95 88.27 16.91% 610.22 433.68 80.7%
09/04/26 (Fri) 41 521.95 95.31 18.26% 617.26 426.64 79.8%
09/18/26 (Fri) 55 521.95 106.93 20.49% 628.88 415.02 77.53%
10/16/26 (Fri) 83 521.95 128.46 24.61% 650.41 393.49 76.25%
11/20/26 (Fri) 118 521.95 152.38 29.2% 674.33 369.57 76.26%
12/18/26 (Fri) 146 521.95 165.94 31.79% 687.89 356.01 74.89%
01/15/27 (Fri) 174 521.95 178.52 34.2% 700.47 343.43 74.05%
02/19/27 (Fri) 209 521.95 194.63 37.29% 716.58 327.32 73.91%
03/19/27 (Fri) 237 521.95 205.72 39.41% 727.67 316.23 73.59%
06/17/27 (Thu) 327 521.95 237.85 45.57% 759.8 284.1 73.02%
09/17/27 (Fri) 419 521.95 265.48 50.86% 787.43 256.47 72.67%
12/17/27 (Fri) 510 521.95 289.34 55.43% 811.29 232.61 72.39%
01/21/28 (Fri) 545 521.95 297.31 56.96% 819.26 224.64 72.11%
06/16/28 (Fri) 692 521.95 330.74 63.37% 852.69 191.22 72.14%
12/15/28 (Fri) 874 521.95 362.29 69.41% 884.24 159.66 71.54%

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.