PACK
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
undefined (PACK) Business Model and Operations Summary
Ranpak Holdings Corp., together with its subsidiaries, provide product protection solutions for e-commerce and industrial supply chains in North America, Europe, and Asia. The company offers protective packaging solutions, such as void-fill protective systems that convert paper to fill empty spaces in secondary packages and protect objects under the FillPak brand; cushioning protective systems, which convert paper into cushioning pads under the PadPak brand; and wrapping protective systems that create pads or paper mesh to wrap and protect fragile items, as well as to line boxes and provide separation when shipping various objects under the WrapPak, Geami, and ReadyRoll brands. The company's products also include line automation products, which help end users automate the void filling and box closure processes after product packing is complete. It sells its products to end users primarily through a distributor network, and directly to select end users. Ranpak Holdings Corp. was founded in 1972 and is headquartered in Concord Township, Ohio.
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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