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abrdn Physical PrecMtlBsk Shrs ETF Stock Price Chart

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and GLTR is experiencing selling pressure, which indicates risk of future bearish movement.

abrdn Physical PrecMtlBsk Shrs ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 114.42 Sell
20-day SMA: 117.36 Sell
50-day SMA: 114.37 Sell
200-day SMA: 103.79 Buy
8-day EMA: 113.8 Sell
20-day EMA: 115.53 Sell
50-day EMA: 114.07 Sell
200-day EMA: 105.35 Buy

abrdn Physical PrecMtlBsk Shrs ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.67 Sell
Relative Strength Index (14 RSI): 34.11 Sell
Chaikin Money Flow: -23852 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (113.64 - 119.88) Sell
Bollinger Bands (100): (104.23 - 115.35) Buy

abrdn Physical PrecMtlBsk Shrs 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 abrdn Physical PrecMtlBsk Shrs ETF Stock

Is abrdn Physical PrecMtlBsk Shrs ETF Stock a Buy?

GLTR Technical Analysis vs Fundamental Analysis

Sell
24
abrdn Physical PrecMtlBsk Shrs ETF (GLTR) is a Sell

Is abrdn Physical PrecMtlBsk Shrs ETF a Buy or a Sell?

abrdn Physical PrecMtlBsk Shrs ETF Stock Info

Market Cap:
0
Price in USD:
110.07
Share Volume:
23.85K

abrdn Physical PrecMtlBsk Shrs ETF 52-Week Range

52-Week High:
121.88
52-Week Low:
85.39
Sell
24
abrdn Physical PrecMtlBsk Shrs ETF (GLTR) is a Sell

abrdn Physical PrecMtlBsk Shrs ETF Share Price Forecast

Is abrdn Physical PrecMtlBsk Shrs ETF Stock a Buy?

Technical Analysis of abrdn Physical PrecMtlBsk Shrs ETF

Should I short abrdn Physical PrecMtlBsk Shrs ETF stock?

* abrdn Physical PrecMtlBsk Shrs 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.