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SPDR Bloomberg High Yield Bond ETF Stock Price Chart

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

SPDR Bloomberg High Yield Bond ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 96.09 Sell
20-day SMA: 96.62 Sell
50-day SMA: 96.6 Sell
200-day SMA: 95.46 Sell
8-day EMA: 95.89 Sell
20-day EMA: 96.35 Sell
50-day EMA: 96.53 Sell
200-day EMA: 95.58 Sell

SPDR Bloomberg High Yield Bond ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.31 Sell
Relative Strength Index (14 RSI): 35.99 Sell
Chaikin Money Flow: 3202418 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (96.02 - 97.2) Sell
Bollinger Bands (100): (95.83 - 97.27) Sell

SPDR Bloomberg High Yield Bond ETF 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 SPDR Bloomberg High Yield Bond ETF Stock

Is SPDR Bloomberg High Yield Bond ETF Stock a Buy?

JNK Technical Analysis vs Fundamental Analysis

Buy
63
SPDR Bloomberg High Yield Bond ETF (JNK) is a Buy

Is SPDR Bloomberg High Yield Bond ETF a Buy or a Sell?

SPDR Bloomberg High Yield Bond ETF Stock Info

Market Cap:
0
Price in USD:
95.38
Share Volume:
4.4M

SPDR Bloomberg High Yield Bond ETF 52-Week Range

52-Week High:
97.90
52-Week Low:
92.47
Buy
63
SPDR Bloomberg High Yield Bond ETF (JNK) is a Buy

SPDR Bloomberg High Yield Bond ETF Share Price Forecast

Is SPDR Bloomberg High Yield Bond ETF Stock a Buy?

Technical Analysis of SPDR Bloomberg High Yield Bond ETF

Should I short SPDR Bloomberg High Yield Bond ETF stock?

* SPDR Bloomberg High Yield Bond ETF stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.