NYSE:PCPL
Delisted
CC Neuberger Principal Holdings I Stock Price (Quote)
$9.02
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $9.02 | $9.02 | Wednesday, 17th Aug 2022 PCPL stock ended at $9.02. During the day the stock fluctuated 0% from a day low at $9.02 to a day high of $9.02. |
90 days | $9.02 | $9.02 | |
52 weeks | $7.66 | $13.32 |
Date | Open | High | Low | Close | Volume |
Dec 08, 2020 | $10.55 | $10.60 | $10.35 | $10.37 | 737 973 |
Dec 07, 2020 | $10.55 | $10.60 | $10.34 | $10.45 | 1 403 366 |
Dec 04, 2020 | $10.29 | $10.50 | $10.24 | $10.46 | 3 491 486 |
Dec 03, 2020 | $10.21 | $10.37 | $10.21 | $10.28 | 1 375 556 |
Dec 02, 2020 | $10.35 | $10.35 | $10.15 | $10.25 | 367 925 |
Dec 01, 2020 | $10.55 | $10.55 | $10.29 | $10.34 | 175 449 |
Nov 30, 2020 | $10.50 | $10.60 | $10.29 | $10.33 | 647 586 |
Nov 27, 2020 | $10.20 | $10.55 | $10.18 | $10.51 | 824 208 |
Nov 25, 2020 | $10.23 | $10.30 | $10.17 | $10.20 | 135 324 |
Nov 24, 2020 | $10.25 | $10.33 | $10.08 | $10.26 | 770 759 |
Nov 23, 2020 | $10.21 | $10.30 | $10.10 | $10.30 | 314 114 |
Nov 20, 2020 | $10.00 | $10.25 | $9.99 | $10.22 | 608 046 |
Nov 19, 2020 | $10.04 | $10.12 | $9.99 | $10.04 | 326 116 |
Nov 18, 2020 | $10.04 | $10.10 | $9.99 | $10.03 | 565 886 |
Nov 17, 2020 | $10.08 | $10.17 | $9.99 | $10.06 | 779 954 |
Nov 16, 2020 | $10.11 | $10.20 | $10.04 | $10.08 | 607 252 |
Nov 13, 2020 | $10.14 | $10.20 | $10.02 | $10.10 | 973 440 |
Nov 12, 2020 | $10.17 | $10.17 | $10.05 | $10.13 | 231 701 |
Nov 11, 2020 | $10.10 | $10.14 | $10.03 | $10.12 | 473 476 |
Nov 10, 2020 | $10.17 | $10.19 | $10.12 | $10.15 | 297 237 |
Nov 09, 2020 | $10.17 | $10.21 | $10.08 | $10.14 | 166 006 |
Nov 06, 2020 | $10.21 | $10.25 | $10.07 | $10.17 | 284 983 |
Nov 05, 2020 | $10.20 | $10.25 | $10.06 | $10.25 | 131 872 |
Nov 04, 2020 | $10.23 | $10.24 | $10.05 | $10.20 | 449 532 |
Nov 03, 2020 | $10.16 | $10.19 | $10.00 | $10.10 | 802 980 |
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 PCPL stock historical prices to predict future price movements?
Trend Analysis: Examine the PCPL 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 PCPL 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.