NASDAQ:CORZ
Delisted
Core Scientific, Inc. Stock Price (Quote)
$0.0916
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0916 | $0.0916 | Wednesday, 19th Apr 2023 CORZ stock ended at $0.0916. During the day the stock fluctuated 0% from a day low at $0.0916 to a day high of $0.0916. |
90 days | $0.0855 | $0.100 | |
52 weeks | $0.0510 | $7.77 |
Date | Open | High | Low | Close | Volume |
Oct 18, 2022 | $1.20 | $1.21 | $1.03 | $1.04 | 4 532 976 |
Oct 17, 2022 | $1.22 | $1.23 | $1.12 | $1.15 | 4 673 643 |
Oct 14, 2022 | $1.29 | $1.29 | $1.10 | $1.11 | 5 218 402 |
Oct 13, 2022 | $1.15 | $1.27 | $1.12 | $1.24 | 4 361 604 |
Oct 12, 2022 | $1.25 | $1.27 | $1.18 | $1.24 | 3 994 919 |
Oct 11, 2022 | $1.26 | $1.35 | $1.19 | $1.27 | 3 607 231 |
Oct 10, 2022 | $1.35 | $1.37 | $1.28 | $1.29 | 1 957 644 |
Oct 07, 2022 | $1.45 | $1.47 | $1.31 | $1.33 | 3 757 192 |
Oct 06, 2022 | $1.57 | $1.68 | $1.49 | $1.53 | 4 442 953 |
Oct 05, 2022 | $1.60 | $1.66 | $1.54 | $1.57 | 4 309 475 |
Oct 04, 2022 | $1.55 | $1.70 | $1.51 | $1.70 | 6 250 910 |
Oct 03, 2022 | $1.38 | $1.43 | $1.27 | $1.37 | 2 748 735 |
Sep 30, 2022 | $1.27 | $1.43 | $1.26 | $1.30 | 3 726 194 |
Sep 29, 2022 | $1.40 | $1.43 | $1.27 | $1.30 | 3 343 581 |
Sep 28, 2022 | $1.39 | $1.48 | $1.35 | $1.45 | 3 067 831 |
Sep 27, 2022 | $1.49 | $1.49 | $1.36 | $1.40 | 4 721 466 |
Sep 26, 2022 | $1.44 | $1.53 | $1.37 | $1.39 | 3 076 843 |
Sep 23, 2022 | $1.42 | $1.47 | $1.36 | $1.43 | 3 261 232 |
Sep 22, 2022 | $1.53 | $1.58 | $1.43 | $1.50 | 2 890 427 |
Sep 21, 2022 | $1.50 | $1.64 | $1.48 | $1.55 | 3 430 545 |
Sep 20, 2022 | $1.63 | $1.64 | $1.49 | $1.52 | 7 248 259 |
Sep 19, 2022 | $1.74 | $1.78 | $1.63 | $1.66 | 6 117 052 |
Sep 16, 2022 | $1.98 | $1.98 | $1.77 | $1.80 | 11 613 704 |
Sep 15, 2022 | $2.01 | $2.15 | $1.98 | $2.01 | 5 214 747 |
Sep 14, 2022 | $2.01 | $2.11 | $1.96 | $2.07 | 5 399 756 |
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 CORZ stock historical prices to predict future price movements?
Trend Analysis: Examine the CORZ 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 CORZ 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.