MO
56
3
CSX
36
3
BK
66
-3
ED
48
3
CLX
42
4
FITB
63
4
CFG
74
2
AVY
39
5
CVS
66
8
ADP
64
5
FAST
53
11
APA
39
-7
SRE
54
7
SEE
45
3
BBY
36
-4
NDAQ
75
4
CB
47
3
NEM
67
3
DD
40
2
YUM
43
4
MO
56
3
CSX
36
3
BK
66
-3
ED
48
3
CLX
42
4
FITB
63
4
CFG
74
2
AVY
39
5
CVS
66
8
ADP
64
5
FAST
53
11
APA
39
-7
SRE
54
7
SEE
45
3
BBY
36
-4
NDAQ
75
4
CB
47
3
NEM
67
3
DD
40
2
YUM
43
4
Financhill
Back

Swiss Re AG Stock Price Chart

Former Zillow exec targets $1.3T marke

This is a paid advertisement for Pacaso's Regulation A offering. Please read the offering circular and related risks at invest.pacaso.com. Reserving the ticker symbol is not a guarantee that the compa
Sell
33

SSREF
Swiss Re AG

Last Price:
$167.00
Seasonality Move:
1.79%

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How to hack a $1.3T market

This is a paid advertisement for Pacaso's Regulation A offering. Please read the offering circular and related risks at invest.pacaso.com. Reserving the ticker symbol is not a guarantee that the compa
  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and SSREF is experiencing slight buying pressure.

Swiss Re AG Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 172.51 Sell
20-day SMA: 174.91 Sell
50-day SMA: 174.45 Sell
200-day SMA: 153.11 Buy
8-day EMA: 172.17 Sell
20-day EMA: 173.85 Sell
50-day EMA: 172.77 Sell
200-day EMA: 155.76 Buy

Swiss Re AG Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -1.1 Sell
Relative Strength Index (14 RSI): 12.76 Sell
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (172.62 - 178.52) Sell
Bollinger Bands (100): (158.93 - 176.03) Sell

Swiss Re AG 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 Swiss Re AG Stock

Is Swiss Re AG Stock a Buy?

  • Swiss Re AG share price is 167.33 while SSREF 8-day simple moving average is 172.51, which is a Sell signal.
  • The stock price of SSREF is 167.33 while Swiss Re AG 20-day SMA is 174.91, which makes it a Sell.
  • Swiss Re AG 50-day simple moving average is 174.45 while SSREF share price is 167.33, making it a Sell technically.
  • SSREF stock price is 167.33 and Swiss Re AG 200-day simple moving average is 153.11, creating a Buy signal.

SSREF Technical Analysis vs Fundamental Analysis

Sell
33
Swiss Re AG (SSREF) is a Sell

Is Swiss Re AG a Buy or a Sell?

  • Swiss Re AG stock is rated a Sell
    The current Swiss Re AG [SSREF] share price is $167.33. The Score for SSREF is 33, which is 34% below its historic median score of 50, and infers higher risk than normal.

Swiss Re AG Stock Info

Market Cap:
49.2B
Price in USD:
167.33
Share Volume:
225

Swiss Re AG 52-Week Range

52-Week High:
180.00
52-Week Low:
117.27
Sell
33
Swiss Re AG (SSREF) is a Sell

Swiss Re AG Share Price Forecast

  • What is the Swiss Re AG stock price today?
    The Swiss Re AG stock price is 167.33 USD today.
  • Will SSREF stock go up or go down?
    Swiss Re AG> share price is forecast to RISE/FALL based on technical indicators
  • Is Swiss Re AG overvalued?
    According to simple moving average, exponential moving average, oscillators, and other technical indicators, Swiss Re AG is overvalued.

Is Swiss Re AG Stock a Buy?

  • Swiss Re AG share price is 167.33 while SSREF 8-day exponential moving average is 172.17, which is a Sell signal.
  • The stock price of SSREF is 167.33 while Swiss Re AG 20-day EMA is 173.85, which makes it a Sell.
  • Swiss Re AG 50-day exponential moving average is 172.77 while SSREF share price is 167.33, making it a Sell technically.
  • SSREF stock price is 167.33 and Swiss Re AG 200-day simple moving average is 155.76, creating a Buy signal.

Technical Analysis of Swiss Re AG

Should I short Swiss Re AG stock?

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