NYSE:MCF
Delisted
Contango Oil & Gas Company Stock Price (Quote)
$3.22
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.22 | $3.22 | Wednesday, 20th Jul 2022 MCF stock ended at $3.22. During the day the stock fluctuated 0% from a day low at $3.22 to a day high of $3.22. |
90 days | $3.22 | $3.22 | |
52 weeks | $2.97 | $4.84 |
Date | Open | High | Low | Close | Volume |
Jul 22, 2021 | $3.94 | $3.95 | $3.72 | $3.80 | 741 724 |
Jul 21, 2021 | $3.72 | $3.95 | $3.70 | $3.93 | 867 115 |
Jul 20, 2021 | $3.65 | $3.67 | $3.48 | $3.62 | 1 568 293 |
Jul 19, 2021 | $3.60 | $3.70 | $3.45 | $3.62 | 2 423 371 |
Jul 16, 2021 | $3.88 | $3.92 | $3.66 | $3.75 | 1 292 252 |
Jul 15, 2021 | $3.91 | $4.06 | $3.81 | $3.84 | 1 354 958 |
Jul 14, 2021 | $4.30 | $4.35 | $3.86 | $3.90 | 1 829 683 |
Jul 13, 2021 | $4.29 | $4.34 | $4.17 | $4.32 | 631 706 |
Jul 12, 2021 | $4.31 | $4.41 | $4.23 | $4.33 | 541 478 |
Jul 09, 2021 | $4.24 | $4.39 | $4.11 | $4.34 | 926 060 |
Jul 08, 2021 | $4.05 | $4.22 | $3.97 | $4.15 | 1 633 745 |
Jul 07, 2021 | $4.19 | $4.22 | $4.02 | $4.10 | 1 314 968 |
Jul 06, 2021 | $4.30 | $4.37 | $4.11 | $4.21 | 1 280 262 |
Jul 02, 2021 | $4.45 | $4.50 | $4.33 | $4.33 | 1 333 432 |
Jul 01, 2021 | $4.46 | $4.48 | $4.33 | $4.46 | 1 467 212 |
Jun 30, 2021 | $4.27 | $4.41 | $4.20 | $4.32 | 1 463 478 |
Jun 29, 2021 | $4.41 | $4.47 | $4.23 | $4.24 | 801 610 |
Jun 28, 2021 | $4.60 | $4.65 | $4.35 | $4.38 | 1 537 333 |
Jun 25, 2021 | $4.73 | $4.89 | $4.54 | $4.57 | 6 855 060 |
Jun 24, 2021 | $4.64 | $4.74 | $4.55 | $4.69 | 1 085 923 |
Jun 23, 2021 | $4.58 | $4.76 | $4.57 | $4.66 | 1 619 945 |
Jun 22, 2021 | $4.75 | $4.77 | $4.44 | $4.55 | 1 523 358 |
Jun 21, 2021 | $4.46 | $4.79 | $4.43 | $4.78 | 1 604 183 |
Jun 18, 2021 | $4.43 | $4.61 | $4.35 | $4.46 | 4 315 251 |
Jun 17, 2021 | $4.65 | $4.84 | $4.50 | $4.55 | 1 512 957 |
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 MCF stock historical prices to predict future price movements?
Trend Analysis: Examine the MCF 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 MCF 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.