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Virtus LifeSci Biotech Products 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 BBP is experiencing buying pressure, which is a positive indicator for future bullish movement.

Virtus LifeSci Biotech Products ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 52.8 Buy
20-day SMA: 56.61 Sell
50-day SMA: 59.56 Sell
200-day SMA: 61.8 Sell
8-day EMA: 53.86 Sell
20-day EMA: 55.77 Sell
50-day EMA: 58.41 Sell
200-day EMA: 60.21 Sell

Virtus LifeSci Biotech Products ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -2.04 Sell
Relative Strength Index (14 RSI): 41.11 Sell
Chaikin Money Flow: 964 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (53.67 - 61.11) Sell
Bollinger Bands (100): (57.74 - 64.02) Sell

Virtus LifeSci Biotech Products 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 Virtus LifeSci Biotech Products ETF Stock

Is Virtus LifeSci Biotech Products ETF Stock a Buy?

BBP Technical Analysis vs Fundamental Analysis

Sell
36
Virtus LifeSci Biotech Products ETF (BBP) is a Sell

Is Virtus LifeSci Biotech Products ETF a Buy or a Sell?

Virtus LifeSci Biotech Products ETF Stock Info

Market Cap:
0
Price in USD:
53.52
Share Volume:
1K

Virtus LifeSci Biotech Products ETF 52-Week Range

52-Week High:
69.12
52-Week Low:
48.65
Sell
36
Virtus LifeSci Biotech Products ETF (BBP) is a Sell

Virtus LifeSci Biotech Products ETF Share Price Forecast

Is Virtus LifeSci Biotech Products ETF Stock a Buy?

Technical Analysis of Virtus LifeSci Biotech Products ETF

Should I short Virtus LifeSci Biotech Products ETF stock?

* Virtus LifeSci Biotech Products 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.