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Pan Pacific International Holdings 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 DQJCY is experiencing buying pressure, which is a positive indicator for future bullish movement.

Pan Pacific International Holdings Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 23.79 Sell
20-day SMA: 24.33 Sell
50-day SMA: 25.08 Sell
200-day SMA: 24.68 Sell
8-day EMA: 23.89 Sell
20-day EMA: 24.24 Sell
50-day EMA: 24.7 Sell
200-day EMA: 24.25 Sell

Pan Pacific International Holdings Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.36 Sell
Relative Strength Index (14 RSI): 41.28 Sell
Chaikin Money Flow: 31363 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (23.85 - 24.89) Sell
Bollinger Bands (100): (24.06 - 25.88) Sell

Pan Pacific International Holdings 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 Pan Pacific International Holdings Stock

Is Pan Pacific International Holdings Stock a Buy?

DQJCY Technical Analysis vs Fundamental Analysis

Sell
43
Pan Pacific International Holdings (DQJCY) is a Sell

Is Pan Pacific International Holdings a Buy or a Sell?

Pan Pacific International Holdings Stock Info

Market Cap:
14.16B
Price in USD:
23.72
Share Volume:
55.35K

Pan Pacific International Holdings 52-Week Range

52-Week High:
28.06
52-Week Low:
20.00
Sell
43
Pan Pacific International Holdings (DQJCY) is a Sell

Pan Pacific International Holdings Share Price Forecast

Is Pan Pacific International Holdings Stock a Buy?

Technical Analysis of Pan Pacific International Holdings

Should I short Pan Pacific International Holdings stock?

* Pan Pacific International Holdings stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.