MetaCap

Airbnb (ABNB) Stock Chart

NASDAQ: ABNBConsumer DiscretionaryDiversified Commercial ServicesUSD

162.62+1.99 (+1.24%)

Market open · Delayed 15 min · as of Oct 8, 12:21 PM ET

ABNB technical summary

ABNB is trading 4.7% below its 50-day simple moving average of $170.56 and 13.0% above its 200-day average of $143.92. The 50-day average is above the 200-day average, a configuration technical analysts associate with a longer-term uptrend. The 14-day Relative Strength Index (RSI) is 44.3, within the neutral 30 to 70 band.

Over the past year, the stock ranged from $110.81 (Nov 20, 2025) to $193.45 (Aug 24, 2026); the current price sits 63% of the way from the low to the high. Annualized 30-day volatility is 36.5%. Based on the last session's high, low and close, the classic pivot point is $160.29, with first resistance at $161.91 and first support at $159.00.

These indicators describe past price behavior for Airbnb; they are not predictions.

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

Technical indicators

Beta
—
1Y high
193.45 (Aug 24)
1Y low
110.81 (Nov 20)
Last close
162.62

ABNB price performance

1 week

-0.01%

1 month

-7.97%

3 months

+12.37%

6 months

+22.25%

Year to date

+18.35%

1 year

+34.03%

3 years

+29.46%

5 years

-5.05%

ABNB price return, excluding dividends.

Moving averages

Simple and exponential moving averages
PeriodSimple (SMA)Exponential (EMA)
5-day161.60Price above160.93Price above
10-day159.05Price above160.98Price above
20-day162.26Price above163.37Price below
50-day170.56Price below164.29Price below
100-day155.29Price above157.86Price above
200-day143.92Price above147.04Price above

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)164.83
Resistance 2 (R2)163.20
Resistance 1 (R1)161.91
Pivot point160.29
Support 1 (S1)159.00
Support 2 (S2)157.37
Support 3 (S3)156.09

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

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