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 |
Dec 26, 2023 | $5.70 | $5.82 | $5.61 | $5.75 | 168 102 |
Dec 22, 2023 | $5.55 | $5.83 | $5.47 | $5.64 | 450 293 |
Dec 21, 2023 | $5.46 | $5.63 | $5.44 | $5.54 | 338 278 |
Dec 20, 2023 | $5.28 | $5.48 | $5.19 | $5.36 | 385 255 |
Dec 19, 2023 | $5.21 | $5.39 | $5.21 | $5.33 | 324 145 |
Dec 18, 2023 | $5.05 | $5.17 | $4.94 | $5.12 | 368 596 |
Dec 15, 2023 | $5.24 | $5.36 | $4.87 | $5.05 | 887 266 |
Dec 14, 2023 | $4.93 | $5.12 | $4.91 | $5.12 | 588 432 |
Dec 13, 2023 | $4.39 | $4.75 | $4.35 | $4.74 | 330 686 |
Dec 12, 2023 | $4.57 | $4.57 | $4.30 | $4.41 | 319 040 |
Dec 11, 2023 | $4.74 | $4.76 | $4.60 | $4.61 | 445 555 |
Dec 08, 2023 | $4.55 | $4.73 | $4.52 | $4.72 | 351 040 |
Dec 07, 2023 | $4.34 | $4.64 | $4.30 | $4.61 | 304 443 |
Dec 06, 2023 | $4.21 | $4.43 | $4.18 | $4.31 | 365 802 |
Dec 05, 2023 | $4.38 | $4.38 | $4.06 | $4.19 | 350 276 |
Dec 04, 2023 | $4.20 | $4.53 | $4.20 | $4.42 | 278 021 |
Dec 01, 2023 | $4.08 | $4.29 | $3.99 | $4.28 | 212 840 |
Nov 30, 2023 | $4.13 | $4.15 | $4.00 | $4.10 | 183 969 |
Nov 29, 2023 | $4.03 | $4.21 | $4.03 | $4.10 | 233 560 |
Nov 28, 2023 | $4.10 | $4.13 | $3.97 | $4.00 | 226 247 |
Nov 27, 2023 | $3.98 | $4.17 | $3.91 | $4.12 | 284 025 |
Nov 24, 2023 | $4.04 | $4.12 | $3.92 | $4.03 | 142 105 |
Nov 22, 2023 | $3.95 | $4.06 | $3.88 | $4.05 | 307 029 |
Nov 21, 2023 | $3.80 | $3.89 | $3.76 | $3.88 | 290 385 |
Nov 20, 2023 | $3.93 | $3.97 | $3.70 | $3.86 | 642 184 |
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.