NASDAQ:CIFR
Cipher Mining Inc. Stock Price (Quote)
$3.85
-0.220 (-5.41%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.30 | $5.00 | Friday, 17th May 2024 CIFR stock ended at $3.85. This is 5.41% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 9.01% from a day low at $3.83 to a day high of $4.18. |
90 days | $2.81 | $5.75 | |
52 weeks | $2.15 | $5.75 |
Date | Open | High | Low | Close | Volume |
Sep 07, 2023 | $2.91 | $3.08 | $2.78 | $3.03 | 703 633 |
Sep 06, 2023 | $3.00 | $3.09 | $2.90 | $2.94 | 758 029 |
Sep 05, 2023 | $2.93 | $3.06 | $2.91 | $3.02 | 1 071 568 |
Sep 01, 2023 | $3.20 | $3.24 | $2.88 | $3.01 | 2 211 469 |
Aug 31, 2023 | $3.34 | $3.42 | $3.12 | $3.19 | 1 655 233 |
Aug 30, 2023 | $3.40 | $3.47 | $3.24 | $3.34 | 2 694 689 |
Aug 29, 2023 | $3.00 | $3.57 | $2.98 | $3.45 | 3 166 427 |
Aug 28, 2023 | $3.03 | $3.10 | $2.94 | $2.97 | 816 544 |
Aug 25, 2023 | $3.00 | $3.16 | $2.91 | $2.97 | 1 320 292 |
Aug 24, 2023 | $3.18 | $3.19 | $2.93 | $2.94 | 1 358 033 |
Aug 23, 2023 | $2.79 | $3.13 | $2.78 | $3.10 | 1 299 062 |
Aug 22, 2023 | $2.87 | $2.99 | $2.78 | $2.81 | 1 305 507 |
Aug 21, 2023 | $3.01 | $3.12 | $2.82 | $2.86 | 1 556 732 |
Aug 18, 2023 | $3.00 | $3.16 | $2.63 | $3.14 | 3 776 032 |
Aug 17, 2023 | $3.18 | $3.37 | $3.00 | $3.17 | 2 318 972 |
Aug 16, 2023 | $3.40 | $3.44 | $3.26 | $3.30 | 827 398 |
Aug 15, 2023 | $3.60 | $3.71 | $3.31 | $3.43 | 1 666 550 |
Aug 14, 2023 | $3.70 | $3.84 | $3.49 | $3.72 | 1 499 815 |
Aug 11, 2023 | $3.50 | $3.89 | $3.48 | $3.67 | 1 168 764 |
Aug 10, 2023 | $3.71 | $3.71 | $3.45 | $3.57 | 1 795 288 |
Aug 09, 2023 | $3.80 | $3.85 | $3.52 | $3.68 | 1 254 675 |
Aug 08, 2023 | $3.42 | $3.84 | $3.34 | $3.73 | 1 807 675 |
Aug 07, 2023 | $3.40 | $3.45 | $3.16 | $3.34 | 1 780 027 |
Aug 04, 2023 | $3.57 | $3.71 | $3.44 | $3.47 | 1 231 698 |
Aug 03, 2023 | $3.63 | $3.67 | $3.49 | $3.58 | 1 233 656 |
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 CIFR stock historical prices to predict future price movements?
Trend Analysis: Examine the CIFR 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 CIFR 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.