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abrdn Physical Platinum Shares 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 PPLT is experiencing buying pressure, which is a positive indicator for future bullish movement.

abrdn Physical Platinum Shares ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 165.29 Buy
20-day SMA: 154.85 Buy
50-day SMA: 148.66 Buy
200-day SMA: 120.48 Buy
8-day EMA: 93.4 Buy
20-day EMA: 45.65 Buy
50-day EMA: 19.89 Buy
200-day EMA: 5.2 Buy

abrdn Physical Platinum Shares ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 33.17 Buy
Relative Strength Index (14 RSI): 80.21 Buy
Chaikin Money Flow: 376454 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (140.05 - 163.53) Buy
Bollinger Bands (100): (125 - 152.28) Buy

abrdn Physical Platinum Shares 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 Platinum Shares ETF Stock

Is abrdn Physical Platinum Shares ETF Stock a Buy?

PPLT Technical Analysis vs Fundamental Analysis

Buy
86
abrdn Physical Platinum Shares ETF (PPLT) is a Buy

Is abrdn Physical Platinum Shares ETF a Buy or a Sell?

abrdn Physical Platinum Shares ETF Stock Info

Market Cap:
0
Price in USD:
179.66
Share Volume:
680.6K

abrdn Physical Platinum Shares ETF 52-Week Range

52-Week High:
180.46
52-Week Low:
82.35
Buy
86
abrdn Physical Platinum Shares ETF (PPLT) is a Buy

abrdn Physical Platinum Shares ETF Share Price Forecast

Is abrdn Physical Platinum Shares ETF Stock a Buy?

Technical Analysis of abrdn Physical Platinum Shares ETF

Should I short abrdn Physical Platinum Shares ETF stock?

* abrdn Physical Platinum Shares 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.