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 |
Feb 05, 2019 | $8.38 | $8.59 | $8.35 | $8.42 | 362 965 |
Feb 04, 2019 | $8.31 | $8.49 | $8.15 | $8.35 | 610 586 |
Feb 01, 2019 | $8.16 | $8.43 | $8.11 | $8.28 | 436 840 |
Jan 31, 2019 | $8.06 | $8.22 | $8.02 | $8.16 | 1 221 575 |
Jan 30, 2019 | $7.95 | $8.17 | $7.82 | $8.09 | 552 776 |
Jan 29, 2019 | $7.94 | $7.98 | $7.72 | $7.92 | 774 470 |
Jan 28, 2019 | $7.94 | $8.01 | $7.82 | $7.93 | 419 603 |
Jan 25, 2019 | $8.01 | $8.15 | $7.95 | $8.03 | 752 743 |
Jan 24, 2019 | $7.94 | $8.05 | $7.83 | $7.91 | 443 991 |
Jan 23, 2019 | $8.11 | $8.21 | $7.76 | $7.88 | 665 662 |
Jan 22, 2019 | $7.78 | $8.15 | $7.73 | $8.04 | 807 219 |
Jan 18, 2019 | $7.64 | $8.42 | $7.59 | $7.86 | 1 206 415 |
Jan 17, 2019 | $7.28 | $7.54 | $7.21 | $7.53 | 1 007 112 |
Jan 16, 2019 | $7.69 | $7.90 | $7.67 | $7.68 | 376 731 |
Jan 15, 2019 | $7.76 | $7.85 | $7.47 | $7.70 | 499 253 |
Jan 14, 2019 | $7.66 | $7.87 | $7.51 | $7.76 | 568 559 |
Jan 11, 2019 | $7.73 | $7.84 | $7.57 | $7.80 | 574 392 |
Jan 10, 2019 | $7.92 | $7.95 | $7.63 | $7.80 | 630 901 |
Jan 09, 2019 | $7.89 | $8.10 | $7.82 | $7.98 | 897 819 |
Jan 08, 2019 | $8.09 | $8.10 | $7.72 | $7.87 | 981 265 |
Jan 07, 2019 | $7.86 | $8.11 | $7.68 | $8.05 | 1 103 110 |
Jan 04, 2019 | $7.75 | $7.84 | $7.56 | $7.82 | 708 382 |
Jan 03, 2019 | $7.54 | $7.85 | $7.38 | $7.60 | 921 754 |
Jan 02, 2019 | $7.22 | $7.74 | $7.14 | $7.55 | 1 466 821 |
Dec 31, 2018 | $7.42 | $7.42 | $6.96 | $7.25 | 835 113 |
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.