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Pacer Nasdaq International Patent Leaders ETF Stock Price Chart

  • The current trend is moderately bearish and PATN is experiencing slight buying pressure.

Pacer Nasdaq International Patent Leaders ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 27.14 Sell
20-day SMA: 26.71 Buy
50-day SMA: 26.92 Buy
200-day SMA: 23.83 Buy
8-day EMA: 27.04 Sell
20-day EMA: 26.92 Buy
50-day EMA: 26.18 Buy
200-day EMA: 16.34 Buy

Pacer Nasdaq International Patent Leaders ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.12 Buy
Relative Strength Index (14 RSI): 51.51 Buy
Chaikin Money Flow: 11694 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (26.32 - 27.24) Buy
Bollinger Bands (100): (24.48 - 27.14) Buy

Pacer Nasdaq International Patent Leaders 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 Nasdaq International Patent Leaders ETF Stock

Is Pacer Nasdaq International Patent Leaders ETF Stock a Buy?

PATN Technical Analysis vs Fundamental Analysis

Sell
22
Pacer Nasdaq International Patent Leaders ETF (PATN) is a Sell

Is Pacer Nasdaq International Patent Leaders ETF a Buy or a Sell?

Pacer Nasdaq International Patent Leaders ETF Stock Info

Market Cap:
0
Price in USD:
26.96
Share Volume:
28.6K

Pacer Nasdaq International Patent Leaders ETF 52-Week Range

52-Week High:
27.78
52-Week Low:
18.32
Sell
22
Pacer Nasdaq International Patent Leaders ETF (PATN) is a Sell

Pacer Nasdaq International Patent Leaders ETF Share Price Forecast

Is Pacer Nasdaq International Patent Leaders ETF Stock a Buy?

Technical Analysis of Pacer Nasdaq International Patent Leaders ETF

Should I short Pacer Nasdaq International Patent Leaders ETF stock?

* Pacer Nasdaq International Patent Leaders 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.