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ALPS Global Travel Beneficiaries 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 JRNY is experiencing buying pressure, which is a positive indicator for future bullish movement.

ALPS Global Travel Beneficiaries ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 25.28 Buy
20-day SMA: 24.4 Buy
50-day SMA: 23.45 Buy
200-day SMA: 24.25 Buy
8-day EMA: 25.13 Buy
20-day EMA: 24.58 Buy
50-day EMA: 24 Buy
200-day EMA: 23.82 Buy

ALPS Global Travel Beneficiaries ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.56 Buy
Relative Strength Index (14 RSI): 65.18 Buy
Chaikin Money Flow: 336 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (23.13 - 25.11) Buy
Bollinger Bands (100): (22.96 - 24.8) Buy

ALPS Global Travel Beneficiaries 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 ALPS Global Travel Beneficiaries ETF Stock

Is ALPS Global Travel Beneficiaries ETF Stock a Buy?

JRNY Technical Analysis vs Fundamental Analysis

Buy
67
ALPS Global Travel Beneficiaries ETF (JRNY) is a Buy

Is ALPS Global Travel Beneficiaries ETF a Buy or a Sell?

ALPS Global Travel Beneficiaries ETF Stock Info

Market Cap:
0
Price in USD:
25.49
Share Volume:
336

ALPS Global Travel Beneficiaries ETF 52-Week Range

52-Week High:
25.81
52-Week Low:
19.59
Buy
67
ALPS Global Travel Beneficiaries ETF (JRNY) is a Buy

ALPS Global Travel Beneficiaries ETF Share Price Forecast

Is ALPS Global Travel Beneficiaries ETF Stock a Buy?

Technical Analysis of ALPS Global Travel Beneficiaries ETF

Should I short ALPS Global Travel Beneficiaries ETF stock?

* ALPS Global Travel Beneficiaries 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.