NASDAQ:CD
Delisted
Chindata Group Holdings Ltd Stock Price (Quote)
$8.45
+0 (+0%)
At Close: Mar 15, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.45 | $8.45 | Friday, 15th Mar 2024 CD stock ended at $8.45. During the day the stock fluctuated 0% from a day low at $8.45 to a day high of $8.45. |
90 days | $8.37 | $8.60 | |
52 weeks | $4.86 | $9.44 |
Date | Open | High | Low | Close | Volume |
Jul 06, 2023 | $7.16 | $7.23 | $7.15 | $7.20 | 929 624 |
Jul 05, 2023 | $7.24 | $7.25 | $7.18 | $7.21 | 544 599 |
Jul 03, 2023 | $7.22 | $7.31 | $7.19 | $7.26 | 676 576 |
Jun 30, 2023 | $7.20 | $7.25 | $7.16 | $7.16 | 888 752 |
Jun 29, 2023 | $7.21 | $7.24 | $7.15 | $7.20 | 1 453 783 |
Jun 28, 2023 | $7.33 | $7.33 | $7.18 | $7.23 | 1 498 146 |
Jun 27, 2023 | $7.25 | $7.30 | $7.20 | $7.25 | 1 353 700 |
Jun 26, 2023 | $7.21 | $7.26 | $7.20 | $7.22 | 718 700 |
Jun 23, 2023 | $7.17 | $7.31 | $7.15 | $7.23 | 797 009 |
Jun 22, 2023 | $7.17 | $7.28 | $7.16 | $7.25 | 667 872 |
Jun 21, 2023 | $7.19 | $7.26 | $7.17 | $7.19 | 1 068 685 |
Jun 20, 2023 | $7.25 | $7.31 | $7.18 | $7.21 | 1 445 001 |
Jun 16, 2023 | $7.37 | $7.45 | $7.13 | $7.29 | 8 386 758 |
Jun 15, 2023 | $7.40 | $7.44 | $7.34 | $7.37 | 1 922 573 |
Jun 14, 2023 | $7.25 | $7.42 | $7.25 | $7.37 | 2 276 382 |
Jun 13, 2023 | $7.29 | $7.36 | $7.25 | $7.25 | 1 919 787 |
Jun 12, 2023 | $7.18 | $7.32 | $7.17 | $7.21 | 2 332 748 |
Jun 09, 2023 | $7.25 | $7.38 | $7.11 | $7.11 | 7 608 215 |
Jun 08, 2023 | $7.01 | $7.30 | $7.00 | $7.24 | 4 179 860 |
Jun 07, 2023 | $7.28 | $7.30 | $6.89 | $6.94 | 8 978 400 |
Jun 06, 2023 | $6.03 | $6.37 | $5.86 | $6.28 | 1 211 623 |
Jun 05, 2023 | $6.08 | $6.61 | $5.96 | $6.03 | 2 046 579 |
Jun 02, 2023 | $6.01 | $6.22 | $5.87 | $6.03 | 1 510 592 |
Jun 01, 2023 | $5.99 | $6.13 | $5.68 | $5.98 | 2 020 563 |
May 31, 2023 | $5.36 | $5.75 | $5.14 | $5.70 | 3 552 480 |
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 CD stock historical prices to predict future price movements?
Trend Analysis: Examine the CD 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 CD 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.