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 |
Nov 16, 2023 | $2.82 | $2.83 | $2.50 | $2.50 | 2 665 518 |
Nov 15, 2023 | $2.88 | $3.10 | $2.82 | $2.88 | 4 237 559 |
Nov 14, 2023 | $2.85 | $2.94 | $2.76 | $2.85 | 2 111 084 |
Nov 13, 2023 | $2.99 | $2.99 | $2.74 | $2.88 | 2 500 833 |
Nov 10, 2023 | $3.01 | $3.18 | $2.95 | $2.98 | 1 697 283 |
Nov 09, 2023 | $3.80 | $3.80 | $2.90 | $3.12 | 9 771 917 |
Nov 08, 2023 | $4.04 | $4.04 | $3.54 | $3.57 | 2 165 396 |
Nov 07, 2023 | $3.82 | $3.91 | $3.64 | $3.85 | 1 672 587 |
Nov 06, 2023 | $4.23 | $4.23 | $3.79 | $3.88 | 2 177 435 |
Nov 03, 2023 | $3.86 | $4.27 | $3.86 | $4.10 | 2 000 539 |
Nov 02, 2023 | $3.69 | $4.04 | $3.67 | $3.95 | 2 554 177 |
Nov 01, 2023 | $3.34 | $3.56 | $3.31 | $3.50 | 1 263 097 |
Oct 31, 2023 | $3.40 | $3.41 | $3.14 | $3.33 | 1 243 533 |
Oct 30, 2023 | $3.43 | $3.75 | $3.32 | $3.49 | 2 170 477 |
Oct 27, 2023 | $3.53 | $3.64 | $3.23 | $3.32 | 1 813 302 |
Oct 26, 2023 | $3.47 | $3.64 | $3.40 | $3.52 | 1 644 228 |
Oct 25, 2023 | $3.09 | $3.57 | $3.01 | $3.54 | 2 530 621 |
Oct 24, 2023 | $2.96 | $3.15 | $2.70 | $3.14 | 5 055 423 |
Oct 23, 2023 | $2.69 | $2.72 | $2.56 | $2.67 | 2 348 946 |
Oct 20, 2023 | $2.73 | $2.77 | $2.53 | $2.60 | 1 460 012 |
Oct 19, 2023 | $2.62 | $2.64 | $2.50 | $2.57 | 1 266 921 |
Oct 18, 2023 | $2.75 | $2.86 | $2.60 | $2.63 | 849 675 |
Oct 17, 2023 | $2.57 | $2.83 | $2.57 | $2.79 | 1 242 068 |
Oct 16, 2023 | $2.47 | $2.77 | $2.46 | $2.66 | 1 820 714 |
Oct 13, 2023 | $2.42 | $2.44 | $2.36 | $2.40 | 399 455 |
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.