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Fidelity Nasdaq Composite ETF Stock Price Chart

Buy
68

ONEQ
Fidelity Nasdaq Composite ETF

Last Price:
65.96
Seasonality Move:
4.11%

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  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and ONEQ is experiencing buying pressure, which is a positive indicator for future bullish movement.

Fidelity Nasdaq Composite ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 64.65 Buy
20-day SMA: 63 Buy
50-day SMA: 63.47 Buy
200-day SMA: 58.13 Buy
8-day EMA: 64.59 Buy
20-day EMA: 63.75 Buy
50-day EMA: 63.12 Buy
200-day EMA: 58.84 Buy

Fidelity Nasdaq Composite ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.6 Buy
Relative Strength Index (14 RSI): 67.48 Buy
Chaikin Money Flow: 360762 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (61.52 - 64.48) Buy
Bollinger Bands (100): (60.1 - 64.2) Buy

Fidelity Nasdaq Composite 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 Nasdaq Composite ETF Stock

Is Fidelity Nasdaq Composite ETF Stock a Buy?

ONEQ Technical Analysis vs Fundamental Analysis

Buy
68
Fidelity Nasdaq Composite ETF (ONEQ) is a Buy

Is Fidelity Nasdaq Composite ETF a Buy or a Sell?

Fidelity Nasdaq Composite ETF Stock Info

Market Cap:
0
Price in USD:
66.00
Share Volume:
378.58K

Fidelity Nasdaq Composite ETF 52-Week Range

52-Week High:
66.02
52-Week Low:
48.47
Buy
68
Fidelity Nasdaq Composite ETF (ONEQ) is a Buy

Fidelity Nasdaq Composite ETF Share Price Forecast

Is Fidelity Nasdaq Composite ETF Stock a Buy?

Technical Analysis of Fidelity Nasdaq Composite ETF

Should I short Fidelity Nasdaq Composite ETF stock?

* Fidelity Nasdaq Composite 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.