NASDAQ:DCRC
Delisted
Decarbonization Plus Acquisition Corp Stock Price (Quote)
$7.41
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $7.41 | $7.41 | Wednesday, 17th Aug 2022 DCRC stock ended at $7.41. During the day the stock fluctuated 0% from a day low at $7.41 to a day high of $7.41. |
90 days | $7.41 | $7.41 | |
52 weeks | $5.61 | $14.85 |
Date | Open | High | Low | Close | Volume |
Sep 24, 2021 | $10.10 | $10.36 | $10.06 | $10.14 | 1 522 492 |
Sep 23, 2021 | $10.00 | $10.14 | $9.98 | $10.06 | 1 214 980 |
Sep 22, 2021 | $10.04 | $10.04 | $9.98 | $9.99 | 253 069 |
Sep 21, 2021 | $9.97 | $10.07 | $9.96 | $10.01 | 419 752 |
Sep 20, 2021 | $9.98 | $9.98 | $9.95 | $9.95 | 246 404 |
Sep 17, 2021 | $10.00 | $10.00 | $9.97 | $10.00 | 248 650 |
Sep 16, 2021 | $9.98 | $10.10 | $9.96 | $9.99 | 1 284 072 |
Sep 15, 2021 | $10.01 | $10.01 | $9.96 | $9.96 | 108 481 |
Sep 14, 2021 | $10.00 | $10.00 | $9.95 | $9.96 | 107 435 |
Sep 13, 2021 | $10.00 | $10.00 | $9.97 | $9.98 | 103 681 |
Sep 10, 2021 | $10.01 | $10.02 | $9.98 | $9.99 | 136 782 |
Sep 09, 2021 | $9.99 | $10.02 | $9.97 | $10.01 | 154 698 |
Sep 08, 2021 | $10.05 | $10.06 | $9.97 | $9.99 | 181 451 |
Sep 07, 2021 | $9.93 | $10.00 | $9.91 | $9.97 | 676 658 |
Sep 03, 2021 | $9.93 | $9.93 | $9.91 | $9.92 | 64 699 |
Sep 02, 2021 | $9.93 | $9.93 | $9.85 | $9.90 | 203 366 |
Sep 01, 2021 | $9.90 | $9.93 | $9.86 | $9.88 | 230 693 |
Aug 31, 2021 | $9.93 | $9.95 | $9.91 | $9.92 | 160 262 |
Aug 30, 2021 | $9.90 | $9.93 | $9.87 | $9.92 | 118 573 |
Aug 27, 2021 | $9.93 | $9.93 | $9.86 | $9.90 | 141 393 |
Aug 26, 2021 | $9.87 | $9.90 | $9.83 | $9.88 | 286 087 |
Aug 25, 2021 | $9.85 | $9.85 | $9.83 | $9.84 | 84 338 |
Aug 24, 2021 | $9.82 | $9.86 | $9.82 | $9.86 | 301 969 |
Aug 23, 2021 | $9.84 | $9.84 | $9.82 | $9.84 | 178 443 |
Aug 20, 2021 | $9.85 | $9.85 | $9.82 | $9.83 | 227 579 |
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 DCRC stock historical prices to predict future price movements?
Trend Analysis: Examine the DCRC 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 DCRC 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.