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Parametric Equity Premium Income 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 PAPI is experiencing buying pressure, which is a positive indicator for future bullish movement.

Parametric Equity Premium Income ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 25.69 Buy
20-day SMA: 25.6 Buy
50-day SMA: 25.47 Buy
200-day SMA: 26.42 Sell
8-day EMA: 10.21 Buy
20-day EMA: 4.69 Buy
50-day EMA: 1.99 Buy
200-day EMA: 0.51 Buy

Parametric Equity Premium Income ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 3.65 Buy
Relative Strength Index (14 RSI): 56.82 Buy
Chaikin Money Flow: 21217 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): ( - ) Buy
Bollinger Bands (100): ( - ) Buy

Parametric Equity Premium Income 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 Parametric Equity Premium Income ETF Stock

Is Parametric Equity Premium Income ETF Stock a Buy?

PAPI Technical Analysis vs Fundamental Analysis

Buy
77
Parametric Equity Premium Income ETF (PAPI) is a Buy

Is Parametric Equity Premium Income ETF a Buy or a Sell?

Parametric Equity Premium Income ETF Stock Info

Market Cap:
0
Price in USD:
25.84
Share Volume:
36.7K

Parametric Equity Premium Income ETF 52-Week Range

52-Week High:
28.46
52-Week Low:
23.32
Buy
77
Parametric Equity Premium Income ETF (PAPI) is a Buy

Parametric Equity Premium Income ETF Share Price Forecast

Is Parametric Equity Premium Income ETF Stock a Buy?

Technical Analysis of Parametric Equity Premium Income ETF

Should I short Parametric Equity Premium Income ETF stock?

* Parametric Equity Premium Income 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.