NYSE:PMM
Putnam Managed Municipal Income Trust Stock Price (Quote)
$6.03
+0.0300 (+0.500%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.83 | $6.06 | Thursday, 16th May 2024 PMM stock ended at $6.03. This is 0.500% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 0.682% from a day low at $6.01 to a day high of $6.05. |
90 days | $5.83 | $6.24 | |
52 weeks | $5.00 | $6.42 |
Date | Open | High | Low | Close | Volume |
Apr 11, 2024 | $5.96 | $6.00 | $5.92 | $5.97 | 151 237 |
Apr 10, 2024 | $5.96 | $5.99 | $5.92 | $5.93 | 123 698 |
Apr 09, 2024 | $5.96 | $6.01 | $5.95 | $6.00 | 126 014 |
Apr 08, 2024 | $5.92 | $6.00 | $5.88 | $5.92 | 139 024 |
Apr 05, 2024 | $5.90 | $5.92 | $5.89 | $5.90 | 67 988 |
Apr 04, 2024 | $5.93 | $5.94 | $5.91 | $5.94 | 155 863 |
Apr 03, 2024 | $5.92 | $5.94 | $5.91 | $5.93 | 143 912 |
Apr 02, 2024 | $5.95 | $5.97 | $5.93 | $5.95 | 122 509 |
Apr 01, 2024 | $6.00 | $6.03 | $5.98 | $5.99 | 115 171 |
Mar 28, 2024 | $6.08 | $6.09 | $5.99 | $5.99 | 349 924 |
Mar 27, 2024 | $6.11 | $6.12 | $6.02 | $6.08 | 226 170 |
Mar 26, 2024 | $6.12 | $6.14 | $6.07 | $6.07 | 140 934 |
Mar 25, 2024 | $6.09 | $6.13 | $6.09 | $6.11 | 89 746 |
Mar 22, 2024 | $6.10 | $6.14 | $6.10 | $6.10 | 84 302 |
Mar 21, 2024 | $6.12 | $6.14 | $6.07 | $6.08 | 154 677 |
Mar 20, 2024 | $6.14 | $6.17 | $6.11 | $6.12 | 250 595 |
Mar 19, 2024 | $6.15 | $6.16 | $6.10 | $6.12 | 137 151 |
Mar 18, 2024 | $6.11 | $6.15 | $6.11 | $6.15 | 49 288 |
Mar 15, 2024 | $6.11 | $6.14 | $6.11 | $6.12 | 66 964 |
Mar 14, 2024 | $6.13 | $6.14 | $6.12 | $6.13 | 70 927 |
Mar 13, 2024 | $6.09 | $6.15 | $6.09 | $6.13 | 133 091 |
Mar 12, 2024 | $6.09 | $6.12 | $6.08 | $6.10 | 120 525 |
Mar 11, 2024 | $6.15 | $6.15 | $6.08 | $6.08 | 118 590 |
Mar 08, 2024 | $6.12 | $6.15 | $6.11 | $6.13 | 92 298 |
Mar 07, 2024 | $6.12 | $6.13 | $6.11 | $6.12 | 52 058 |
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 PMM stock historical prices to predict future price movements?
Trend Analysis: Examine the PMM 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 PMM 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.