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 |
Mar 29, 2021 | $10.32 | $10.36 | $9.94 | $9.95 | 970 263 |
Mar 26, 2021 | $9.75 | $10.38 | $9.70 | $10.32 | 1 137 105 |
Mar 25, 2021 | $9.71 | $9.87 | $9.40 | $9.75 | 1 552 927 |
Mar 24, 2021 | $10.07 | $10.37 | $9.74 | $9.95 | 1 311 400 |
Mar 23, 2021 | $10.31 | $10.73 | $10.02 | $10.18 | 3 924 977 |
Mar 22, 2021 | $10.50 | $10.85 | $10.50 | $10.63 | 3 964 508 |
Mar 19, 2021 | $9.80 | $10.59 | $9.71 | $10.58 | 9 601 408 |
Mar 18, 2021 | $10.00 | $10.35 | $9.61 | $9.78 | 3 216 305 |
Mar 17, 2021 | $9.66 | $10.54 | $9.62 | $10.27 | 3 953 537 |
Mar 16, 2021 | $9.97 | $10.09 | $9.74 | $9.89 | 1 519 950 |
Mar 15, 2021 | $10.20 | $10.20 | $9.73 | $9.80 | 1 356 265 |
Mar 12, 2021 | $9.63 | $10.04 | $9.51 | $9.93 | 1 180 235 |
Mar 11, 2021 | $9.98 | $10.01 | $9.75 | $9.78 | 2 182 675 |
Mar 10, 2021 | $9.66 | $9.88 | $9.34 | $9.35 | 863 259 |
Mar 09, 2021 | $9.34 | $10.07 | $9.28 | $9.57 | 1 604 915 |
Mar 08, 2021 | $9.12 | $9.59 | $9.07 | $9.20 | 1 935 031 |
Mar 05, 2021 | $8.87 | $9.14 | $8.26 | $9.10 | 1 806 497 |
Mar 04, 2021 | $9.35 | $9.40 | $8.68 | $8.85 | 2 965 270 |
Mar 03, 2021 | $9.44 | $9.65 | $9.34 | $9.47 | 1 589 631 |
Mar 02, 2021 | $9.70 | $9.81 | $9.30 | $9.35 | 782 003 |
Mar 01, 2021 | $9.42 | $9.96 | $9.36 | $9.77 | 2 642 841 |
Feb 26, 2021 | $9.14 | $9.29 | $8.88 | $9.26 | 1 442 619 |
Feb 25, 2021 | $9.25 | $9.38 | $8.92 | $9.29 | 1 315 818 |
Feb 24, 2021 | $9.19 | $9.55 | $9.01 | $9.39 | 922 907 |
Feb 23, 2021 | $8.94 | $9.26 | $8.81 | $9.15 | 1 755 015 |
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.