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First Trust New York HighMncpl 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 FMNY is experiencing buying pressure, which is a positive indicator for future bullish movement.

First Trust New York HighMncpl ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 26.79 Buy
20-day SMA: 26.8 Buy
50-day SMA: 26.73 Buy
200-day SMA: 26.55 Buy
8-day EMA: 26.79 Buy
20-day EMA: 26.78 Buy
50-day EMA: 26.77 Buy
200-day EMA: 26.68 Buy

First Trust New York HighMncpl ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.02 Buy
Relative Strength Index (14 RSI): 54.99 Buy
Chaikin Money Flow: 331 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (26.6 - 26.9) Buy
Bollinger Bands (100): (26.66 - 27.02) Buy

First Trust New York HighMncpl 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 First Trust New York HighMncpl ETF Stock

Is First Trust New York HighMncpl ETF Stock a Buy?

FMNY Technical Analysis vs Fundamental Analysis

Buy
66
First Trust New York HighMncpl ETF (FMNY) is a Buy

Is First Trust New York HighMncpl ETF a Buy or a Sell?

First Trust New York HighMncpl ETF Stock Info

Market Cap:
0
Price in USD:
26.86
Share Volume:
331

First Trust New York HighMncpl ETF 52-Week Range

52-Week High:
27.24
52-Week Low:
25.00
Buy
66
First Trust New York HighMncpl ETF (FMNY) is a Buy

First Trust New York HighMncpl ETF Share Price Forecast

Is First Trust New York HighMncpl ETF Stock a Buy?

Technical Analysis of First Trust New York HighMncpl ETF

Should I short First Trust New York HighMncpl ETF stock?

* First Trust New York HighMncpl 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.