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AAPL Historical Volatility: What the Numbers Say

Chart Library · · 5 min read

Dated article. This writing is retained with its original publication date. Product details, third-party prices, and technical guidance may have changed. Chart Library is now free; consult the current API documentation and methodology. This article is not a study verdict.

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).

For Apple specifically, Chart Library's pattern matching is especially reliable because the underlying volatility is moderate and the distribution is well-behaved. Forward-return estimates on Apple are among the highest-confidence in the system.

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.

Search AAPL on chartlibrary.io to see the current volatility regime and historical analogs.

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