MetaCap

Meta Platforms (META) Stock Chart

NASDAQ: METATechnologyComputer Software: Programming Data ProcessingUSD

721.31-17.57 (-2.38%)

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

META technical summary

META is trading 13.9% above its 50-day simple moving average of $633.43 and 14.6% above its 200-day average of $629.54. The 50-day average is above the 200-day average, a crossover (often called a "golden cross") that occurred within the last month. The 14-day Relative Strength Index (RSI) is 57.6, within the neutral 30 to 70 band.

Over the past year, the stock ranged from $520.26 (Mar 27, 2026) to $779.82 (Sep 24, 2026); the current price sits 77% of the way from the low to the high. Annualized 30-day volatility is 47.2%. Based on the last session's high, low and close, the classic pivot point is $726.49, with first resistance at $732.82 and first support at $714.97.

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

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

Technical indicators

Beta
—
1Y high
779.82 (Sep 24)
1Y low
520.26 (Mar 27)
Last close
721.31

META price performance

1 week

-0.53%

1 month

+17.58%

3 months

+19.60%

6 months

+17.78%

Year to date

+9.27%

1 year

+1.15%

3 years

+129.21%

5 years

+122.11%

META price return, excluding dividends.

Moving averages

Simple and exponential moving averages
PeriodSimple (SMA)Exponential (EMA)
5-day731.22Price below730.65Price below
10-day736.49Price below727.32Price below
20-day711.83Price above706.47Price above
50-day633.43Price above661.72Price above
100-day619.28Price above639.49Price above
200-day629.54Price above639.27Price 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)750.67
Resistance 2 (R2)744.34
Resistance 1 (R1)732.82
Pivot point726.49
Support 1 (S1)714.97
Support 2 (S2)708.64
Support 3 (S3)697.12

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

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