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Global X Adaptive US Factor ETF Stock Price Chart

Buy
65

AUSF
Global X Adaptive US Factor ETF

Last Price:
40.30
Seasonality Move:
4.4%

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ALL ACCESS PASS

$ 7
  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and AUSF is experiencing slight buying pressure.

Global X Adaptive US Factor ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 39.92 Buy
20-day SMA: 39.59 Buy
50-day SMA: 39.74 Buy
200-day SMA: 35.9 Buy
8-day EMA: 39.95 Buy
20-day EMA: 39.72 Buy
50-day EMA: 39.44 Buy
200-day EMA: 36.63 Buy

Global X Adaptive US Factor ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.16 Buy
Relative Strength Index (14 RSI): 64.33 Buy
Chaikin Money Flow: 2054 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (38.97 - 39.89) Buy
Bollinger Bands (100): (37.75 - 39.99) Buy

Global X Adaptive US Factor 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 Global X Adaptive US Factor ETF Stock

Is Global X Adaptive US Factor ETF Stock a Buy?

AUSF Technical Analysis vs Fundamental Analysis

Buy
65
Global X Adaptive US Factor ETF (AUSF) is a Buy

Is Global X Adaptive US Factor ETF a Buy or a Sell?

Global X Adaptive US Factor ETF Stock Info

Market Cap:
0
Price in USD:
40.30
Share Volume:
11.09K

Global X Adaptive US Factor ETF 52-Week Range

52-Week High:
41.71
52-Week Low:
29.43
Buy
65
Global X Adaptive US Factor ETF (AUSF) is a Buy

Global X Adaptive US Factor ETF Share Price Forecast

Is Global X Adaptive US Factor ETF Stock a Buy?

Technical Analysis of Global X Adaptive US Factor ETF

Should I short Global X Adaptive US Factor ETF stock?

* Global X Adaptive US Factor 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.