BMY
40
2
CPB
49
2
NWSA
71
2
ALLE
53
-2
BLK
61
3
MAC
70
-2
EL
55
3
CCL
41
-3
HSY
67
3
DVN
36
-3
V
74
2
NSC
51
3
CI
66
-3
GWW
60
2
WM
85
11
AME
65
2
AXP
80
3
NRG
80
3
GIS
63
2
PAYX
57
3
BMY
40
2
CPB
49
2
NWSA
71
2
ALLE
53
-2
BLK
61
3
MAC
70
-2
EL
55
3
CCL
41
-3
HSY
67
3
DVN
36
-3
V
74
2
NSC
51
3
CI
66
-3
GWW
60
2
WM
85
11
AME
65
2
AXP
80
3
NRG
80
3
GIS
63
2
PAYX
57
3
Financhill
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Meta Platforms Stock Price Chart

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Discover this DeFi diamond before the next surge
Buy
75

META
Meta Platforms

Last Price:
468.07
Seasonality Move:
14.46%

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$ 7

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All the details are on the next page.
  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and META is experiencing buying pressure, which is a positive indicator for future bullish movement.

Meta Platforms Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 461.41 Buy
20-day SMA: 469.35 Buy
50-day SMA: 489.32 Sell
200-day SMA: 380.57 Buy
8-day EMA: 466.76 Buy
20-day EMA: 470.63 Buy
50-day EMA: 472.76 Buy
200-day EMA: 394.25 Buy

Meta Platforms Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -6.82 Sell
Relative Strength Index (14 RSI): 51.26 Buy
Chaikin Money Flow: 7183054 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (450.01 - 508.21) Sell
Bollinger Bands (100): (391.12 - 506.86) Buy

Meta Platforms Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Meta Platforms Stock

Is Meta Platforms Stock a Buy?

  • Meta Platforms share price is 476.20 while META 8-day simple moving average is 461.41, which is a Buy signal.
  • The stock price of META is 476.20 while Meta Platforms 20-day SMA is 469.35, which makes it a Buy.
  • Meta Platforms 50-day simple moving average is 489.32 while META share price is 476.20, making it a Sell technically.
  • META stock price is 476.20 and Meta Platforms 200-day simple moving average is 380.57, creating a Buy signal.

META Technical Analysis vs Fundamental Analysis

Buy
75
Meta Platforms (META) is a Buy

Is Meta Platforms a Buy or a Sell?

  • Meta Platforms stock is rated a Buy
    The current Meta Platforms [META] share price is $476.20. The Score for META is 75, which is 50% above its historic median score of 50, and infers lower risk than normal.

Meta Platforms Stock Info

Market Cap:
1.21T
Price in USD:
476.20
Share Volume:
10.71M

Meta Platforms 52-Week Range

52-Week High:
531.49
52-Week Low:
231.45
Buy
75
Meta Platforms (META) is a Buy

Meta Platforms Share Price Forecast

  • What is the Meta Platforms stock price today?
    The Meta Platforms stock price is 476.20 USD today.
  • Will META stock go up or go down?
    Meta Platforms> share price is forecast to RISE/FALL based on technical indicators
  • Is Meta Platforms overvalued?
    According to simple moving average, exponential moving average, oscillators, and other technical indicators, Meta Platforms is not overvalued.

Is Meta Platforms Stock a Buy?

  • Meta Platforms share price is 476.20 while META 8-day exponential moving average is 466.76, which is a Buy signal.
  • The stock price of META is 476.20 while Meta Platforms 20-day EMA is 470.63, which makes it a Buy.
  • Meta Platforms 50-day exponential moving average is 472.76 while META share price is 476.20, making it a Buy technically.
  • META stock price is 476.20 and Meta Platforms 200-day simple moving average is 394.25, creating a Buy signal.

Fundamental Analysis of Meta Platforms

Is Meta Platforms a good investment?

  • Analysts estimate an earnings increase this quarter of $1.19 per share, an increase next quarter of $0.50 per share, an increase this year of $5.61 per share, and an increase next year of $2.90 per share.

Technical Analysis of Meta Platforms

Should I short Meta Platforms stock?

* Meta Platforms stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.