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GraniteShares 2x Long NVDA Daily 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 NVDL is experiencing buying pressure, which is a positive indicator for future bullish movement.

GraniteShares 2x Long NVDA Daily ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 58.67 Buy
20-day SMA: 59.6 Buy
50-day SMA: 65.82 Sell
200-day SMA: 63.61 Buy
8-day EMA: 59.42 Buy
20-day EMA: 59.89 Buy
50-day EMA: 63.98 Buy
200-day EMA: 59.75 Buy

GraniteShares 2x Long NVDA Daily ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -1.94 Sell
Relative Strength Index (14 RSI): 53.86 Buy
Chaikin Money Flow: 19821141 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (51.84 - 69.64) Buy
Bollinger Bands (100): (59.66 - 77.88) Sell

GraniteShares 2x Long NVDA Daily 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 GraniteShares 2x Long NVDA Daily ETF Stock

Is GraniteShares 2x Long NVDA Daily ETF Stock a Buy?

NVDL Technical Analysis vs Fundamental Analysis

Buy
62
GraniteShares 2x Long NVDA Daily ETF (NVDL) is a Buy

Is GraniteShares 2x Long NVDA Daily ETF a Buy or a Sell?

GraniteShares 2x Long NVDA Daily ETF Stock Info

Market Cap:
0
Price in USD:
64.66
Share Volume:
26.1M

GraniteShares 2x Long NVDA Daily ETF 52-Week Range

52-Week High:
91.70
52-Week Low:
23.66
Buy
62
GraniteShares 2x Long NVDA Daily ETF (NVDL) is a Buy

GraniteShares 2x Long NVDA Daily ETF Share Price Forecast

Is GraniteShares 2x Long NVDA Daily ETF Stock a Buy?

Technical Analysis of GraniteShares 2x Long NVDA Daily ETF

Should I short GraniteShares 2x Long NVDA Daily ETF stock?

* GraniteShares 2x Long NVDA Daily 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.