Financhill
Back

Goldman Sachs Dynamic New York MunicipalETF Stock Price Chart

  • The current trend is moderately bullish and GMNY is experiencing slight buying pressure.

Goldman Sachs Dynamic New York MunicipalETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 50.42 Sell
20-day SMA: 50.41 Buy
50-day SMA: 50.28 Buy
200-day SMA: 0 Buy
8-day EMA: 50.43 Sell
20-day EMA: 50.4 Buy
50-day EMA: 50.37 Buy
200-day EMA: 9.55 Buy

Goldman Sachs Dynamic New York MunicipalETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.04 Buy
Relative Strength Index (14 RSI): 53.17 Buy
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (50.26 - 50.52) Buy
Bollinger Bands (100): (50.21 - 50.73) Sell

Goldman Sachs Dynamic New York MunicipalETF 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 Goldman Sachs Dynamic New York MunicipalETF Stock

Is Goldman Sachs Dynamic New York MunicipalETF Stock a Buy?

GMNY Technical Analysis vs Fundamental Analysis

Buy
57
Goldman Sachs Dynamic New York MunicipalETF (GMNY) is a Buy

Is Goldman Sachs Dynamic New York MunicipalETF a Buy or a Sell?

Goldman Sachs Dynamic New York MunicipalETF Stock Info

Market Cap:
0
Price in USD:
50.42
Share Volume:
0

Goldman Sachs Dynamic New York MunicipalETF 52-Week Range

52-Week High:
51.74
52-Week Low:
45.48
Buy
57
Goldman Sachs Dynamic New York MunicipalETF (GMNY) is a Buy

Goldman Sachs Dynamic New York MunicipalETF Share Price Forecast

Is Goldman Sachs Dynamic New York MunicipalETF Stock a Buy?

Technical Analysis of Goldman Sachs Dynamic New York MunicipalETF

Should I short Goldman Sachs Dynamic New York MunicipalETF stock?

* Goldman Sachs Dynamic New York MunicipalETF stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.