NYSE:CBA
Delisted
ClearBridge American Energy MLP Fund Inc Fund Price (Quote)
$6.75
+0 (+0%)
At Close: Mar 25, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.75 | $6.75 | Monday, 25th Mar 2019 CBA stock ended at $6.75. During the day the stock fluctuated 0% from a day low at $6.75 to a day high of $6.75. |
90 days | $6.75 | $6.75 | |
52 weeks | $6.53 | $8.52 |
Historical ClearBridge American Energy MLP Fund Inc prices
Date | Open | High | Low | Close | Volume |
May 03, 2017 | $9.75 | $9.75 | $9.60 | $9.63 | 118 475 |
May 02, 2017 | $9.80 | $9.82 | $9.68 | $9.71 | 97 632 |
May 01, 2017 | $9.81 | $9.82 | $9.70 | $9.73 | 117 152 |
Apr 28, 2017 | $9.82 | $9.85 | $9.72 | $9.76 | 139 834 |
Apr 27, 2017 | $9.90 | $9.97 | $9.74 | $9.74 | 117 494 |
Apr 26, 2017 | $9.89 | $10.00 | $9.88 | $9.91 | 166 652 |
Apr 25, 2017 | $9.69 | $9.91 | $9.69 | $9.90 | 111 096 |
Apr 24, 2017 | $9.79 | $9.81 | $9.69 | $9.70 | 116 545 |
Apr 21, 2017 | $9.70 | $9.75 | $9.64 | $9.68 | 160 735 |
Apr 20, 2017 | $9.73 | $9.73 | $9.62 | $9.68 | 134 610 |
Apr 19, 2017 | $9.82 | $9.84 | $9.69 | $9.71 | 108 096 |
Apr 18, 2017 | $9.73 | $9.83 | $9.68 | $9.81 | 102 921 |
Apr 17, 2017 | $9.86 | $9.86 | $9.74 | $9.75 | 132 176 |
Apr 13, 2017 | $9.85 | $9.93 | $9.80 | $9.84 | 153 705 |
Apr 12, 2017 | $9.85 | $9.90 | $9.79 | $9.84 | 232 131 |
Apr 11, 2017 | $9.92 | $9.92 | $9.81 | $9.86 | 111 661 |
Apr 10, 2017 | $9.99 | $9.99 | $9.88 | $9.89 | 122 623 |
Apr 07, 2017 | $9.98 | $10.00 | $9.90 | $9.91 | 132 762 |
Apr 06, 2017 | $9.89 | $9.97 | $9.87 | $9.94 | 105 922 |
Apr 05, 2017 | $9.97 | $10.05 | $9.83 | $9.83 | 169 234 |
Apr 04, 2017 | $9.89 | $9.94 | $9.82 | $9.91 | 142 630 |
Apr 03, 2017 | $9.96 | $9.97 | $9.80 | $9.92 | 69 533 |
Mar 31, 2017 | $9.74 | $9.92 | $9.73 | $9.92 | 66 055 |
Mar 30, 2017 | $9.74 | $9.82 | $9.73 | $9.76 | 140 230 |
Mar 29, 2017 | $9.57 | $9.74 | $9.56 | $9.74 | 95 318 |
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 CBA stock historical prices to predict future price movements?
Trend Analysis: Examine the CBA 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 CBA 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.