NYSE:CIE
Delisted
Cobalt International Energy Inc Fund Price (Quote)
$0.380
+0 (+0%)
At Close: Jan 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.380 | $0.380 | Tuesday, 16th Jan 2018 CIE stock ended at $0.380. During the day the stock fluctuated 0% from a day low at $0.380 to a day high of $0.380. |
90 days | $0.350 | $1.13 | |
52 weeks | $0.350 | $19.65 |
Date | Open | High | Low | Close | Volume |
Nov 01, 2017 | $0.98 | $1.04 | $0.94 | $1.00 | 494 259 |
Oct 31, 2017 | $0.94 | $0.98 | $0.94 | $0.97 | 309 700 |
Oct 30, 2017 | $0.96 | $1.00 | $0.94 | $0.94 | 201 810 |
Oct 27, 2017 | $1.04 | $1.04 | $0.95 | $0.98 | 396 995 |
Oct 26, 2017 | $0.98 | $1.04 | $0.92 | $1.04 | 520 037 |
Oct 25, 2017 | $1.01 | $1.04 | $0.97 | $0.98 | 197 930 |
Oct 24, 2017 | $1.03 | $1.05 | $0.98 | $1.02 | 311 464 |
Oct 23, 2017 | $1.06 | $1.08 | $1.00 | $1.03 | 273 112 |
Oct 20, 2017 | $1.12 | $1.12 | $1.03 | $1.04 | 168 393 |
Oct 19, 2017 | $1.09 | $1.12 | $0.99 | $1.11 | 634 821 |
Oct 18, 2017 | $1.05 | $1.13 | $1.04 | $1.08 | 193 196 |
Oct 17, 2017 | $1.02 | $1.08 | $0.97 | $1.06 | 523 588 |
Oct 16, 2017 | $1.04 | $1.04 | $1.00 | $1.01 | 189 972 |
Oct 13, 2017 | $1.08 | $1.10 | $0.96 | $1.05 | 920 835 |
Oct 12, 2017 | $1.12 | $1.15 | $1.06 | $1.08 | 630 775 |
Oct 11, 2017 | $1.17 | $1.19 | $1.10 | $1.12 | 854 550 |
Oct 10, 2017 | $1.23 | $1.27 | $1.17 | $1.17 | 552 220 |
Oct 09, 2017 | $1.26 | $1.30 | $1.19 | $1.22 | 191 802 |
Oct 06, 2017 | $1.32 | $1.34 | $1.19 | $1.27 | 1 008 145 |
Oct 05, 2017 | $1.28 | $1.36 | $1.26 | $1.33 | 573 847 |
Oct 04, 2017 | $1.38 | $1.38 | $1.26 | $1.29 | 657 364 |
Oct 03, 2017 | $1.40 | $1.40 | $1.32 | $1.36 | 402 437 |
Oct 02, 2017 | $1.42 | $1.47 | $1.35 | $1.37 | 778 270 |
Sep 29, 2017 | $1.48 | $1.50 | $1.42 | $1.43 | 383 884 |
Sep 28, 2017 | $1.59 | $1.59 | $1.42 | $1.50 | 863 097 |
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 CIE stock historical prices to predict future price movements?
Trend Analysis: Examine the CIE 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 CIE 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.