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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: 76.21 Buy
20-day SMA: 77.61 Sell
50-day SMA: 76.64 Sell
200-day SMA: 74.04 Buy
8-day EMA: 16.99 Buy
20-day EMA: 7.28 Buy
50-day EMA: 3 Buy
200-day EMA: 0.76 Buy

Fidelity MSCI Financials Index ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 6.1 Buy
Relative Strength Index (14 RSI): 45.67 Sell
Chaikin Money Flow: 91447 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (76.48 - 79.18) Sell
Bollinger Bands (100): (74.36 - 77.76) 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
55
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:
76.47
Share Volume:
115.7K

Fidelity MSCI Financials Index ETF 52-Week Range

52-Week High:
80.31
52-Week Low:
58.68
Buy
55
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.