NASDAQ:CIFR
Cipher Mining Inc. Stock Price (Quote)
$4.00
-0.0900 (-2.20%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.37 | $4.52 | Tuesday, 28th May 2024 CIFR stock ended at $4.00. This is 2.20% less than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 5.88% from a day low at $3.91 to a day high of $4.14. |
90 days | $2.81 | $5.75 | |
52 weeks | $2.15 | $5.75 |
Historical Cipher Mining Inc. prices
Date | Open | High | Low | Close | Volume |
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 |
Aug 02, 2023 | $3.53 | $3.78 | $3.45 | $3.73 | 1 458 022 |
Aug 01, 2023 | $3.73 | $3.73 | $3.39 | $3.53 | 1 479 900 |
Jul 31, 2023 | $3.67 | $3.90 | $3.65 | $3.80 | 1 191 615 |
Jul 28, 2023 | $3.58 | $3.66 | $3.43 | $3.50 | 1 693 966 |
Jul 27, 2023 | $3.92 | $3.94 | $3.52 | $3.52 | 1 778 567 |
Jul 26, 2023 | $3.80 | $3.91 | $3.68 | $3.78 | 1 442 493 |
Jul 25, 2023 | $4.03 | $4.14 | $3.82 | $3.88 | 1 661 572 |
Jul 24, 2023 | $4.12 | $4.16 | $3.80 | $4.01 | 1 572 283 |
Jul 21, 2023 | $4.56 | $4.64 | $4.15 | $4.34 | 1 184 857 |
Jul 20, 2023 | $4.84 | $5.03 | $4.43 | $4.47 | 1 112 558 |
Jul 19, 2023 | $4.67 | $4.91 | $4.53 | $4.72 | 1 197 171 |
Jul 18, 2023 | $4.70 | $4.75 | $4.34 | $4.64 | 1 591 582 |
Jul 17, 2023 | $4.92 | $5.07 | $4.59 | $4.76 | 1 508 475 |
Jul 14, 2023 | $5.05 | $5.26 | $4.66 | $4.91 | 2 287 948 |
Jul 13, 2023 | $4.35 | $5.29 | $4.27 | $5.21 | 3 517 722 |
Jul 12, 2023 | $4.14 | $4.45 | $4.01 | $4.24 | 2 226 756 |
Jul 11, 2023 | $4.38 | $4.32 | $3.92 | $4.04 | 2 743 312 |
Jul 10, 2023 | $3.89 | $4.37 | $3.64 | $4.32 | 2 391 991 |
Jul 07, 2023 | $3.34 | $4.07 | $3.33 | $3.73 | 2 746 772 |
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.