NYSE:CNR
Delisted
Cornerstone Building Brands, Inc. Stock Price (Quote)
$24.66
+0 (+0%)
At Close: Nov 10, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $24.66 | $24.66 | Thursday, 10th Nov 2022 CNR stock ended at $24.66. During the day the stock fluctuated 0% from a day low at $24.66 to a day high of $24.66. |
90 days | $24.66 | $24.66 | |
52 weeks | $13.54 | $24.66 |
Historical Cornerstone Building Brands, Inc. prices
Date | Open | High | Low | Close | Volume |
Mar 13, 2019 | $6.23 | $6.64 | $6.14 | $6.62 | 1 415 761 |
Mar 12, 2019 | $6.37 | $6.44 | $6.19 | $6.22 | 969 209 |
Mar 11, 2019 | $6.38 | $6.49 | $6.25 | $6.38 | 934 223 |
Mar 08, 2019 | $6.34 | $6.39 | $6.21 | $6.32 | 573 840 |
Mar 07, 2019 | $6.69 | $6.70 | $6.37 | $6.38 | 983 129 |
Mar 06, 2019 | $7.09 | $7.11 | $6.60 | $6.68 | 1 101 502 |
Mar 05, 2019 | $7.32 | $7.32 | $7.04 | $7.07 | 563 253 |
Mar 04, 2019 | $7.14 | $7.43 | $7.11 | $7.30 | 1 292 136 |
Mar 01, 2019 | $7.13 | $7.33 | $7.10 | $7.12 | 411 683 |
Feb 28, 2019 | $7.23 | $7.26 | $7.00 | $7.02 | 753 470 |
Feb 27, 2019 | $7.34 | $7.38 | $7.13 | $7.27 | 792 048 |
Feb 26, 2019 | $7.20 | $7.43 | $7.20 | $7.34 | 1 280 412 |
Feb 25, 2019 | $7.29 | $7.47 | $7.21 | $7.26 | 946 600 |
Feb 22, 2019 | $7.06 | $7.24 | $7.01 | $7.15 | 783 956 |
Feb 21, 2019 | $7.15 | $7.37 | $7.01 | $7.07 | 1 097 180 |
Feb 20, 2019 | $7.10 | $7.24 | $6.95 | $7.17 | 1 000 928 |
Feb 19, 2019 | $7.50 | $7.50 | $6.67 | $7.07 | 2 568 793 |
Feb 15, 2019 | $7.80 | $7.91 | $7.61 | $7.67 | 828 286 |
Feb 14, 2019 | $8.11 | $8.20 | $7.75 | $7.77 | 1 183 019 |
Feb 13, 2019 | $8.21 | $8.22 | $8.02 | $8.14 | 865 200 |
Feb 12, 2019 | $8.16 | $8.49 | $8.11 | $8.18 | 1 028 256 |
Feb 11, 2019 | $8.12 | $8.20 | $7.89 | $8.09 | 483 718 |
Feb 08, 2019 | $8.19 | $8.30 | $7.91 | $8.14 | 532 580 |
Feb 07, 2019 | $8.46 | $8.51 | $8.17 | $8.29 | 694 758 |
Feb 06, 2019 | $8.42 | $8.69 | $8.35 | $8.47 | 747 684 |
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 CNR stock historical prices to predict future price movements?
Trend Analysis: Examine the CNR 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 CNR 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.