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Ranpak Holdings Corp. 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 PACK is experiencing slight selling pressure.

Ranpak Holdings Corp. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 5.7 Buy
20-day SMA: 5.47 Buy
50-day SMA: 5.54 Buy
200-day SMA: 4.67 Buy
8-day EMA: 5.75 Buy
20-day EMA: 5.59 Buy
50-day EMA: 5.48 Buy
200-day EMA: 5.19 Buy

Ranpak Holdings Corp. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.1 Buy
Relative Strength Index (14 RSI): 59.45 Buy
Chaikin Money Flow: -61733 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (5.19 - 5.93) Buy
Bollinger Bands (100): (4.97 - 5.75) Buy

Ranpak Holdings Corp. 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 Ranpak Holdings Corp. Stock

Is Ranpak Holdings Corp. Stock a Buy?

PACK Technical Analysis vs Fundamental Analysis

Sell
49
Ranpak Holdings Corp. (PACK) is a Sell

Is Ranpak Holdings Corp. a Buy or a Sell?

Ranpak Holdings Corp. Stock Info

Market Cap:
503.7M
Price in USD:
5.97
Share Volume:
833.4K

Ranpak Holdings Corp. 52-Week Range

52-Week High:
7.74
52-Week Low:
2.91
Sell
49
Ranpak Holdings Corp. (PACK) is a Sell

Ranpak Holdings Corp. Share Price Forecast

Is Ranpak Holdings Corp. Stock a Buy?

Fundamental Analysis of Ranpak Holdings Corp.

Is Ranpak Holdings Corp. a good investment?

  • Analysts estimate an earnings increase this quarter of $0.01 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.09 per share, and an increase next year of $0.10 per share.

Technical Analysis of Ranpak Holdings Corp.

Should I short Ranpak Holdings Corp. stock?

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