D
38
-2
AMP
50
-11
CNP
52
-2
ECL
67
-2
IFF
57
-2
C
60
-5
ACN
9
-8
DGX
50
2
CHRW
59
-5
APD
64
-5
EFX
21
3
CI
58
6
AIZ
71
-2
CFG
71
-2
EL
42
-29
AON
52
-11
BEN
73
-7
AIG
51
-3
DIS
47
-5
CLX
51
-11
D
38
-2
AMP
50
-11
CNP
52
-2
ECL
67
-2
IFF
57
-2
C
60
-5
ACN
9
-8
DGX
50
2
CHRW
59
-5
APD
64
-5
EFX
21
3
CI
58
6
AIZ
71
-2
CFG
71
-2
EL
42
-29
AON
52
-11
BEN
73
-7
AIG
51
-3
DIS
47
-5
CLX
51
-11
Financhill
Back

SCOR SE Stock Price Chart

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Buy
53

SCRYY
SCOR SE

Last Price:
$3.37
Seasonality Move:
0.92%

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  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and SCRYY is experiencing selling pressure, which indicates risk of future bearish movement.

SCOR SE Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 3.29 Buy
20-day SMA: 3.29 Buy
50-day SMA: 3.25 Buy
200-day SMA: 3.28 Buy
8-day EMA: 2.39 Buy
20-day EMA: 1.31 Buy
50-day EMA: 0.6 Buy
200-day EMA: 0.16 Buy

SCOR SE Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.82 Buy
Relative Strength Index (14 RSI): 55.55 Buy
Chaikin Money Flow: -2486 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (3.22 - 3.38) Buy
Bollinger Bands (100): (3.14 - 3.48) Buy

SCOR SE 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 SCOR SE Stock

Is SCOR SE Stock a Buy?

  • SCOR SE share price is 3.37 while SCRYY 8-day simple moving average is 3.29, which is a Buy signal.
  • The stock price of SCRYY is 3.37 while SCOR SE 20-day SMA is 3.29, which makes it a Buy.
  • SCOR SE 50-day simple moving average is 3.25 while SCRYY share price is 3.37, making it a Buy technically.
  • SCRYY stock price is 3.37 and SCOR SE 200-day simple moving average is 3.28, creating a Buy signal.

SCRYY Technical Analysis vs Fundamental Analysis

Buy
53
SCOR SE (SCRYY) is a Buy

Is SCOR SE a Buy or a Sell?

  • SCOR SE stock is rated a Buy
    The current SCOR SE [SCRYY] share price is $3.37. The Score for SCRYY is 53, which is 6% above its historic median score of 50, and infers lower risk than normal.

SCOR SE Stock Info

Market Cap:
6B
Price in USD:
3.37
Share Volume:
2.5K

SCOR SE 52-Week Range

52-Week High:
3.73
52-Week Low:
2.31
Buy
53
SCOR SE (SCRYY) is a Buy

SCOR SE Share Price Forecast

  • What is the SCOR SE stock price today?
    The SCOR SE stock price is 3.37 USD today.
  • Will SCRYY stock go up or go down?
    SCOR SE> share price is forecast to RISE/FALL based on technical indicators
  • Is SCOR SE overvalued?
    According to simple moving average, exponential moving average, oscillators, and other technical indicators, SCOR SE is not overvalued.

Is SCOR SE Stock a Buy?

  • SCOR SE share price is 3.37 while SCRYY 8-day exponential moving average is 2.39, which is a Buy signal.
  • The stock price of SCRYY is 3.37 while SCOR SE 20-day EMA is 1.31, which makes it a Buy.
  • SCOR SE 50-day exponential moving average is 0.60 while SCRYY share price is 3.37, making it a Buy technically.
  • SCRYY stock price is 3.37 and SCOR SE 200-day simple moving average is 0.16, creating a Buy signal.

Fundamental Analysis of SCOR SE

Is SCOR SE a good investment?

  • Analysts estimate an earnings increase this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.17 per share, and a decrease next year of $0.00 per share.

Technical Analysis of SCOR SE

Should I short SCOR SE stock?

  • SCRYY Moving Average Covergence Divergence (MACD) indicator is 0.82, suggesting SCOR SE is a Buy
  • SCOR SE Relative Strength Index (RSI) is 55.55, which suggest SCOR SE is overbought
  • The Bollinger Bands (25) for SCOR SE is (3.22 - 3.38), which suggest SCOR SE is a Buy
  • The Bollinger Bands (100) for SCOR SE is (3.14 - 3.48), which suggest SCOR SE is a Buy

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