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Pacer Industrials and Logistics 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 SHPP is experiencing buying pressure, which is a positive indicator for future bullish movement.

Pacer Industrials and Logistics ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 27.27 Sell
20-day SMA: 27.61 Sell
50-day SMA: 27.64 Sell
200-day SMA: 27.2 Sell
8-day EMA: 27.1 Sell
20-day EMA: 27.45 Sell
50-day EMA: 27.55 Sell
200-day EMA: 27.14 Sell

Pacer Industrials and Logistics ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.23 Sell
Relative Strength Index (14 RSI): 21.43 Sell
Chaikin Money Flow: 135 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (27.2 - 28.02) Sell
Bollinger Bands (100): (26.8 - 27.94) Sell

Pacer Industrials and Logistics 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 Pacer Industrials and Logistics ETF Stock

Is Pacer Industrials and Logistics ETF Stock a Buy?

SHPP Technical Analysis vs Fundamental Analysis

Sell
48
Pacer Industrials and Logistics ETF (SHPP) is a Sell

Is Pacer Industrials and Logistics ETF a Buy or a Sell?

Pacer Industrials and Logistics ETF Stock Info

Market Cap:
0
Price in USD:
26.51
Share Volume:
135

Pacer Industrials and Logistics ETF 52-Week Range

52-Week High:
28.28
52-Week Low:
25.60
Sell
48
Pacer Industrials and Logistics ETF (SHPP) is a Sell

Pacer Industrials and Logistics ETF Share Price Forecast

Is Pacer Industrials and Logistics ETF Stock a Buy?

Technical Analysis of Pacer Industrials and Logistics ETF

Should I short Pacer Industrials and Logistics ETF stock?

* Pacer Industrials and Logistics 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.