MetaCap

Mid-America Apartment Communities (MAA) Stock Chart

NYSE: MAAReal EstateReal Estate Investment TrustsUSD

114.21-2.78 (-2.38%)

At close: Oct 7, 4:00 PM ET · Delayed 15 min

MAA technical summary

MAA is trading 9.8% below its 50-day simple moving average of $126.68 and 12.7% below its 200-day average of $130.76. The 50-day average is below the 200-day average, a crossover (often called a "death cross") that occurred within the last month. The 14-day Relative Strength Index (RSI) is 25.3, below 30, the level many traders consider oversold.

Over the past year, the stock ranged from $114.19 (Oct 7, 2026) to $144.41 (Jul 7, 2026); the current price is at the bottom of that range. Annualized 30-day volatility is 15.1%. Based on the last session's high, low and close, the classic pivot point is $115.10, with first resistance at $116.02 and first support at $113.30.

These indicators describe past price behavior for Mid-America Apartment Communities; they are not predictions.

Summary generated from market data by MetaCap's automated system. Methodology

Technical indicators

Beta
—
1Y high
144.41 (Jul 7)
1Y low
114.19 (Oct 7)
Last close
114.21

MAA price performance

1 week

-3.00%

1 month

-10.70%

3 months

-17.16%

6 months

-9.42%

Year to date

-17.78%

1 year

-16.16%

3 years

-13.10%

5 years

-42.19%

MAA price return, excluding dividends.

Moving averages

Simple and exponential moving averages
PeriodSimple (SMA)Exponential (EMA)
5-day115.86Price below115.94Price below
10-day116.94Price below117.05Price below
20-day119.33Price below119.48Price below
50-day126.68Price below124.58Price below
100-day130.60Price below127.79Price below
200-day130.76Price below129.66Price below

Moving averages are computed from daily closing prices over the past year. What is a moving average?

Pivot points

Classic pivot points
LevelPrice
Resistance 3 (R3)118.74
Resistance 2 (R2)117.82
Resistance 1 (R1)116.02
Pivot point115.10
Support 1 (S1)113.30
Support 2 (S2)112.38
Support 3 (S3)110.58

Classic floor-trader pivots from the last session's high, low and close. How pivot points work

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