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QRAFT AI-Enhanced US Large Cap Momentum ETF Stock Price Chart

  • The current trend is moderately bearish and AMOM is experiencing slight selling pressure.

QRAFT AI-Enhanced US Large Cap Momentum ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 46.81 Sell
20-day SMA: 46.74 Sell
50-day SMA: 45.34 Buy
200-day SMA: 41.2 Buy
8-day EMA: 46.7 Sell
20-day EMA: 46.52 Sell
50-day EMA: 45.43 Buy
200-day EMA: 41.4 Buy

QRAFT AI-Enhanced US Large Cap Momentum ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.37 Buy
Relative Strength Index (14 RSI): 50.32 Buy
Chaikin Money Flow: -1942 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (45.68 - 47.4) Sell
Bollinger Bands (100): (40.42 - 45.96) Buy

QRAFT AI-Enhanced US Large Cap Momentum 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 QRAFT AI-Enhanced US Large Cap Momentum ETF Stock

Is QRAFT AI-Enhanced US Large Cap Momentum ETF Stock a Buy?

AMOM Technical Analysis vs Fundamental Analysis

Buy
60
QRAFT AI-Enhanced US Large Cap Momentum ETF (AMOM) is a Buy

Is QRAFT AI-Enhanced US Large Cap Momentum ETF a Buy or a Sell?

QRAFT AI-Enhanced US Large Cap Momentum ETF Stock Info

Market Cap:
0
Price in USD:
46.36
Share Volume:
6.1K

QRAFT AI-Enhanced US Large Cap Momentum ETF 52-Week Range

52-Week High:
48.80
52-Week Low:
32.55
Buy
60
QRAFT AI-Enhanced US Large Cap Momentum ETF (AMOM) is a Buy

QRAFT AI-Enhanced US Large Cap Momentum ETF Share Price Forecast

Is QRAFT AI-Enhanced US Large Cap Momentum ETF Stock a Buy?

Technical Analysis of QRAFT AI-Enhanced US Large Cap Momentum ETF

Should I short QRAFT AI-Enhanced US Large Cap Momentum ETF stock?

* QRAFT AI-Enhanced US Large Cap Momentum 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.