Financhill
Back

PIMCO New York Municipal Income Fund 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 PNF is experiencing selling pressure, which indicates risk of future bearish movement.

PIMCO New York Municipal Income Fund Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 8.03 Sell
20-day SMA: 8.05 Sell
50-day SMA: 8.16 Sell
200-day SMA: 7.92 Buy
8-day EMA: 8.02 Sell
20-day EMA: 8.06 Sell
50-day EMA: 8.09 Sell
200-day EMA: 7.98 Buy

PIMCO New York Municipal Income Fund Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.04 Sell
Relative Strength Index (14 RSI): 42.19 Sell
Chaikin Money Flow: -25448 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (7.99 - 8.17) Sell
Bollinger Bands (100): (7.86 - 8.2) Sell

PIMCO New York Municipal Income Fund 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 Stock

Is PIMCO New York Municipal Income Fund Stock a Buy?

PNF Technical Analysis vs Fundamental Analysis

Sell
32
PIMCO New York Municipal Income Fund (PNF) is a Sell

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

PIMCO New York Municipal Income Fund Stock Info

Market Cap:
0
Price in USD:
8.00
Share Volume:
34.7K

PIMCO New York Municipal Income Fund 52-Week Range

52-Week High:
8.40
52-Week Low:
7.17
Sell
32
PIMCO New York Municipal Income Fund (PNF) is a Sell

PIMCO New York Municipal Income Fund Share Price Forecast

Is PIMCO New York Municipal Income Fund Stock a Buy?

Technical Analysis of PIMCO New York Municipal Income Fund

Should I short PIMCO New York Municipal Income Fund stock?

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