AAPL Historical Volatility: What the Numbers Say

Apple Is the Tamest of the Mega-Cap Growth Names

Despite its size and visibility, Apple's realized volatility sits near the lower end of the mega-cap tech range. Over 2016-2026, Apple's average daily range has been roughly 1.5% of the prior close, and its average 30-day realized volatility has been around 26% annualized. That's about two-thirds of NVDA's volatility and less than half of Tesla's.

For context, 26% annualized volatility means a typical daily move of roughly 1.6% and a typical monthly move of roughly 7.5%. Apple is volatile by index standards (SPY averages closer to 18%) but calm by single-stock standards.

• Average daily range 2016-2026: ~1.5% of prior close
• Median daily range: ~1.3% of prior close
• Average 30-day realized volatility: ~26% annualized
• Highest 30-day realized volatility: ~62% (March 2020)
• Lowest 30-day realized volatility: ~14% (mid-2017)

Tails Are Relatively Thin

Apple's single-day move distribution is closer to lognormal than many other large caps. Moves exceeding 5% are rare — Apple has averaged roughly 3-4 such days per year over the past decade, compared to 8-10 for Tesla. The largest single-day moves include the roughly +10% post-earnings rally in late 2019 and the -12% move during the March 2020 selloff.

This relative tameness makes Apple a good 'core' holding for portfolio construction: it provides exposure to mega-cap tech growth without the tail risk of Tesla or the earnings volatility of NVDA.

Volatility Regimes and Forward Returns

Splitting Apple's history by volatility quartile shows a familiar pattern: low-volatility regimes are better for long-only holdings. When 30-day realized volatility is below ~18%, Apple's forward 20-day return has averaged roughly +2.9% with a 63% win rate. When volatility is above ~38%, forward returns have averaged roughly +0.4% with a 52% win rate.

The magnitude of this effect is similar to what we see on NVDA and Tesla — low-volatility periods are positive-drift periods for mega-cap tech generally. The 'buy calm' effect isn't specific to any one stock; it's a structural feature of modern equity markets.

Apple Volatility Is Mean-Reverting

Apple's volatility shows strong mean reversion on a 2-3 month horizon. When 30-day realized volatility spikes above ~40%, it has historically fallen back toward the long-run average (~26%) within 6-8 weeks. When it drops below ~18%, it has typically risen back toward the average within a similar window.

This has implications for option strategies. Short-premium strategies on Apple tend to perform better when implied volatility is elevated (because the underlying vol typically reverts down). Long-premium strategies tend to perform better when implied volatility is depressed (because the underlying vol typically reverts up).

Putting It Together

If you're using Apple as a core position, the volatility data suggests you can size it more aggressively than a name like Tesla or even NVDA. A dollar-risk budget that might allow a $10K position in AAPL at 26% volatility would translate to roughly $4,700 in TSLA at 55% volatility — same dollar-risk, different position size.

Here's the Chart Library API call to pull the current volatility regime alongside pattern intelligence for AAPL:

curl -H "X-API-Key: cl_..." \ "https://chartlibrary.io/api/v1/intelligence?symbol=AAPL&include_volatility=true"

Related reading: our posts on NVDA historical volatility and TSLA historical volatility offer direct comparisons across the mega-cap tech complex.