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Fidelity MSCI Financials Index 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 FNCL is experiencing buying pressure, which is a positive indicator for future bullish movement.

Fidelity MSCI Financials Index ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 71.55 Buy
20-day SMA: 71.48 Buy
50-day SMA: 68.59 Buy
200-day SMA: 68.45 Buy
8-day EMA: 71.59 Buy
20-day EMA: 71 Buy
50-day EMA: 69.93 Buy
200-day EMA: 67.47 Buy

Fidelity MSCI Financials Index ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.77 Buy
Relative Strength Index (14 RSI): 61.64 Buy
Chaikin Money Flow: 89089 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (69.89 - 72.15) Buy
Bollinger Bands (100): (66.95 - 72.97) Buy

Fidelity MSCI Financials Index 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 Fidelity MSCI Financials Index ETF Stock

Is Fidelity MSCI Financials Index ETF Stock a Buy?

FNCL Technical Analysis vs Fundamental Analysis

Buy
73
Fidelity MSCI Financials Index ETF (FNCL) is a Buy

Is Fidelity MSCI Financials Index ETF a Buy or a Sell?

Fidelity MSCI Financials Index ETF Stock Info

Market Cap:
0
Price in USD:
72.27
Share Volume:
157.6K

Fidelity MSCI Financials Index ETF 52-Week Range

52-Week High:
74.26
52-Week Low:
56.75
Buy
73
Fidelity MSCI Financials Index ETF (FNCL) is a Buy

Fidelity MSCI Financials Index ETF Share Price Forecast

Is Fidelity MSCI Financials Index ETF Stock a Buy?

Technical Analysis of Fidelity MSCI Financials Index ETF

Should I short Fidelity MSCI Financials Index ETF stock?

* Fidelity MSCI Financials Index 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.