NYSE:PACK
Ranpak Holdings Corp. Stock Price (Quote)
$6.42
-0.230 (-3.46%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.85 | $7.70 | Monday, 20th May 2024 PACK stock ended at $6.42. This is 3.46% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 4.57% from a day low at $6.34 to a day high of $6.63. |
90 days | $4.30 | $8.29 | |
52 weeks | $2.63 | $8.29 |
Date | Open | High | Low | Close | Volume |
Feb 01, 2024 | $4.23 | $4.53 | $4.07 | $4.48 | 815 593 |
Jan 31, 2024 | $4.28 | $4.32 | $4.05 | $4.12 | 463 279 |
Jan 30, 2024 | $4.59 | $4.59 | $4.36 | $4.36 | 287 418 |
Jan 29, 2024 | $4.74 | $4.74 | $4.53 | $4.64 | 406 228 |
Jan 26, 2024 | $4.73 | $4.83 | $4.63 | $4.73 | 342 725 |
Jan 25, 2024 | $4.92 | $4.98 | $4.52 | $4.68 | 677 874 |
Jan 24, 2024 | $5.11 | $5.11 | $4.71 | $4.77 | 511 369 |
Jan 23, 2024 | $4.96 | $5.06 | $4.84 | $5.00 | 531 893 |
Jan 22, 2024 | $4.63 | $4.94 | $4.63 | $4.85 | 445 346 |
Jan 19, 2024 | $4.61 | $4.66 | $4.44 | $4.61 | 298 993 |
Jan 18, 2024 | $4.71 | $4.71 | $4.57 | $4.60 | 228 734 |
Jan 17, 2024 | $4.56 | $4.69 | $4.53 | $4.67 | 224 757 |
Jan 16, 2024 | $4.63 | $4.74 | $4.58 | $4.72 | 248 286 |
Jan 12, 2024 | $4.92 | $4.97 | $4.75 | $4.78 | 197 729 |
Jan 11, 2024 | $4.89 | $4.92 | $4.69 | $4.87 | 328 143 |
Jan 10, 2024 | $4.93 | $4.98 | $4.73 | $4.92 | 410 959 |
Jan 09, 2024 | $5.05 | $5.05 | $4.93 | $4.96 | 382 002 |
Jan 08, 2024 | $5.09 | $5.35 | $5.07 | $5.16 | 374 595 |
Jan 05, 2024 | $5.06 | $5.30 | $5.06 | $5.16 | 264 408 |
Jan 04, 2024 | $5.20 | $5.23 | $5.10 | $5.11 | 160 098 |
Jan 03, 2024 | $5.29 | $5.32 | $5.13 | $5.17 | 455 635 |
Jan 02, 2024 | $5.76 | $5.81 | $5.35 | $5.43 | 415 555 |
Dec 29, 2023 | $6.04 | $6.11 | $5.81 | $5.82 | 315 814 |
Dec 28, 2023 | $5.89 | $6.09 | $5.87 | $6.05 | 322 199 |
Dec 27, 2023 | $5.75 | $5.94 | $5.71 | $5.94 | 279 422 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use PACK stock historical prices to predict future price movements?
Trend Analysis: Examine the PACK stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the PACK stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.