NYSE:CEI
Camber Energy Stock Price (Quote)
$0.174
+0.0038 (+2.24%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.151 | $0.210 | Friday, 17th May 2024 CEI stock ended at $0.174. This is 2.24% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 22.74% from a day low at $0.171 to a day high of $0.210. |
90 days | $0.151 | $0.255 | |
52 weeks | $0.150 | $1.27 |
Date | Open | High | Low | Close | Volume |
Apr 14, 2023 | $1.74 | $1.74 | $1.65 | $1.73 | 474 967 |
Apr 13, 2023 | $1.67 | $1.75 | $1.65 | $1.69 | 606 207 |
Apr 12, 2023 | $1.62 | $1.76 | $1.55 | $1.67 | 1 074 239 |
Apr 11, 2023 | $1.54 | $1.64 | $1.53 | $1.59 | 636 500 |
Apr 10, 2023 | $1.56 | $1.56 | $1.48 | $1.52 | 410 380 |
Apr 06, 2023 | $1.57 | $1.58 | $1.46 | $1.53 | 497 908 |
Apr 05, 2023 | $1.66 | $1.69 | $1.51 | $1.54 | 646 880 |
Apr 04, 2023 | $1.77 | $1.77 | $1.64 | $1.66 | 1 041 911 |
Apr 03, 2023 | $1.76 | $1.89 | $1.62 | $1.79 | 3 178 514 |
Mar 31, 2023 | $1.54 | $1.58 | $1.50 | $1.58 | 526 810 |
Mar 30, 2023 | $1.51 | $1.59 | $1.47 | $1.50 | 999 014 |
Mar 29, 2023 | $1.40 | $1.49 | $1.37 | $1.48 | 560 528 |
Mar 28, 2023 | $1.45 | $1.46 | $1.35 | $1.38 | 375 199 |
Mar 27, 2023 | $1.35 | $1.45 | $1.30 | $1.42 | 721 868 |
Mar 24, 2023 | $1.26 | $1.35 | $1.26 | $1.30 | 460 847 |
Mar 23, 2023 | $1.26 | $1.35 | $1.26 | $1.27 | 488 686 |
Mar 22, 2023 | $1.36 | $1.36 | $1.26 | $1.28 | 710 395 |
Mar 21, 2023 | $1.37 | $1.38 | $1.33 | $1.37 | 713 689 |
Mar 20, 2023 | $1.32 | $1.52 | $1.26 | $1.34 | 3 589 304 |
Mar 17, 2023 | $1.32 | $1.32 | $1.20 | $1.20 | 539 515 |
Mar 16, 2023 | $1.28 | $1.33 | $1.25 | $1.32 | 406 172 |
Mar 15, 2023 | $1.38 | $1.38 | $1.23 | $1.29 | 705 603 |
Mar 14, 2023 | $1.38 | $1.45 | $1.38 | $1.38 | 519 326 |
Mar 13, 2023 | $1.47 | $1.47 | $1.36 | $1.41 | 996 678 |
Mar 10, 2023 | $1.60 | $1.62 | $1.50 | $1.50 | 819 889 |
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 CEI stock historical prices to predict future price movements?
Trend Analysis: Examine the CEI 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 CEI 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.