NYSE:CLD
Delisted
Cloud Peak Energy Inc Stock Price (Quote)
$0.0035
+0 (+0%)
At Close: Jan 27, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0035 | $0.0035 | Monday, 27th Jan 2020 CLD stock ended at $0.0035. During the day the stock fluctuated 0% from a day low at $0.0035 to a day high of $0.0035. |
90 days | $0.0031 | $0.0150 | |
52 weeks | $0.0028 | $0.729 |
Date | Open | High | Low | Close | Volume |
May 23, 2016 | $1.87 | $1.90 | $1.78 | $1.81 | 703 944 |
May 20, 2016 | $1.88 | $1.93 | $1.81 | $1.92 | 478 725 |
May 19, 2016 | $1.82 | $1.92 | $1.78 | $1.87 | 633 168 |
May 18, 2016 | $1.91 | $1.92 | $1.77 | $1.84 | 739 867 |
May 17, 2016 | $1.91 | $1.96 | $1.89 | $1.93 | 861 387 |
May 16, 2016 | $1.90 | $1.96 | $1.89 | $1.92 | 948 541 |
May 13, 2016 | $1.93 | $2.01 | $1.86 | $1.87 | 908 154 |
May 12, 2016 | $2.05 | $2.07 | $1.88 | $1.96 | 1 158 984 |
May 11, 2016 | $2.01 | $2.12 | $1.99 | $2.02 | 815 970 |
May 10, 2016 | $1.99 | $2.04 | $1.94 | $2.01 | 1 546 993 |
May 09, 2016 | $2.09 | $2.12 | $1.96 | $1.99 | 1 608 218 |
May 06, 2016 | $2.05 | $2.17 | $2.05 | $2.13 | 1 148 227 |
May 05, 2016 | $2.17 | $2.22 | $2.06 | $2.08 | 1 220 819 |
May 04, 2016 | $2.18 | $2.26 | $2.01 | $2.10 | 1 506 494 |
May 03, 2016 | $2.21 | $2.23 | $2.08 | $2.14 | 1 481 749 |
May 02, 2016 | $2.18 | $2.26 | $2.15 | $2.26 | 1 266 589 |
Apr 29, 2016 | $2.27 | $2.33 | $2.14 | $2.21 | 2 637 386 |
Apr 28, 2016 | $2.57 | $2.73 | $2.49 | $2.50 | 1 579 498 |
Apr 27, 2016 | $2.58 | $2.63 | $2.48 | $2.57 | 1 105 392 |
Apr 26, 2016 | $2.38 | $2.57 | $2.26 | $2.56 | 1 249 848 |
Apr 25, 2016 | $2.47 | $2.50 | $2.26 | $2.34 | 857 477 |
Apr 22, 2016 | $2.25 | $2.50 | $2.25 | $2.49 | 1 079 186 |
Apr 21, 2016 | $2.37 | $2.44 | $2.21 | $2.26 | 893 659 |
Apr 20, 2016 | $2.18 | $2.56 | $2.18 | $2.33 | 2 215 484 |
Apr 19, 2016 | $2.11 | $2.21 | $2.11 | $2.18 | 1 063 281 |
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 CLD stock historical prices to predict future price movements?
Trend Analysis: Examine the CLD 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 CLD 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.