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Pacer Data and Digital Revolution ETF Stock Price Chart

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and TRFK is experiencing slight selling pressure.

Pacer Data and Digital Revolution ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 50.42 Buy
20-day SMA: 49.53 Buy
50-day SMA: 48.22 Buy
200-day SMA: 44.25 Buy
8-day EMA: 50.42 Buy
20-day EMA: 49.75 Buy
50-day EMA: 48.28 Buy
200-day EMA: 43.81 Buy

Pacer Data and Digital Revolution ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.76 Buy
Relative Strength Index (14 RSI): 64.24 Buy
Chaikin Money Flow: -4162 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (48.09 - 50.69) Buy
Bollinger Bands (100): (43.05 - 48.97) Buy

Pacer Data and Digital Revolution 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 Data and Digital Revolution ETF Stock

Is Pacer Data and Digital Revolution ETF Stock a Buy?

TRFK Technical Analysis vs Fundamental Analysis

Buy
77
Pacer Data and Digital Revolution ETF (TRFK) is a Buy

Is Pacer Data and Digital Revolution ETF a Buy or a Sell?

Pacer Data and Digital Revolution ETF Stock Info

Market Cap:
0
Price in USD:
51.39
Share Volume:
19.72K

Pacer Data and Digital Revolution ETF 52-Week Range

52-Week High:
51.88
52-Week Low:
33.20
Buy
77
Pacer Data and Digital Revolution ETF (TRFK) is a Buy

Pacer Data and Digital Revolution ETF Share Price Forecast

Is Pacer Data and Digital Revolution ETF Stock a Buy?

Technical Analysis of Pacer Data and Digital Revolution ETF

Should I short Pacer Data and Digital Revolution ETF stock?

* Pacer Data and Digital Revolution 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.