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PIMCO New York Municipal Income Fund II 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 PNI is experiencing slight buying pressure.

PIMCO New York Municipal Income Fund II Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 7.46 Sell
20-day SMA: 7.59 Sell
50-day SMA: 7.68 Sell
200-day SMA: 7.48 Sell
8-day EMA: 7.47 Sell
20-day EMA: 7.56 Sell
50-day EMA: 7.62 Sell
200-day EMA: 7.5 Sell

PIMCO New York Municipal Income Fund II Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.09 Sell
Relative Strength Index (14 RSI): 27.32 Sell
Chaikin Money Flow: -23495 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (7.5 - 7.8) Sell
Bollinger Bands (100): (7.42 - 7.72) Sell

PIMCO New York Municipal Income Fund II 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 PIMCO New York Municipal Income Fund II Stock

Is PIMCO New York Municipal Income Fund II Stock a Buy?

PNI Technical Analysis vs Fundamental Analysis

Sell
36
PIMCO New York Municipal Income Fund II (PNI) is a Sell

Is PIMCO New York Municipal Income Fund II a Buy or a Sell?

PIMCO New York Municipal Income Fund II Stock Info

Market Cap:
0
Price in USD:
7.42
Share Volume:
46.76K

PIMCO New York Municipal Income Fund II 52-Week Range

52-Week High:
7.96
52-Week Low:
6.08
Sell
36
PIMCO New York Municipal Income Fund II (PNI) is a Sell

PIMCO New York Municipal Income Fund II Share Price Forecast

Is PIMCO New York Municipal Income Fund II Stock a Buy?

Technical Analysis of PIMCO New York Municipal Income Fund II

Should I short PIMCO New York Municipal Income Fund II stock?

* PIMCO New York Municipal Income Fund II stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.