NYSE:DSM
Dreyfus Strategic Municipal Bond Fund Stock Price (Quote)
$5.88
-0.0100 (-0.170%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.63 | $5.91 | Friday, 14th Jun 2024 DSM stock ended at $5.88. This is 0.170% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 0.85% from a day low at $5.86 to a day high of $5.91. |
90 days | $5.54 | $5.91 | |
52 weeks | $4.69 | $5.91 |
Historical Dreyfus Strategic Municipal Bond Fund Inc prices
Date | Open | High | Low | Close | Volume |
Jun 14, 2024 | $5.86 | $5.91 | $5.86 | $5.88 | 125 403 |
Jun 13, 2024 | $5.87 | $5.90 | $5.86 | $5.89 | 111 371 |
Jun 12, 2024 | $5.85 | $5.90 | $5.84 | $5.84 | 67 103 |
Jun 11, 2024 | $5.80 | $5.85 | $5.80 | $5.83 | 78 368 |
Jun 10, 2024 | $5.84 | $5.84 | $5.80 | $5.81 | 63 609 |
Jun 07, 2024 | $5.84 | $5.86 | $5.82 | $5.84 | 38 267 |
Jun 06, 2024 | $5.82 | $5.88 | $5.81 | $5.87 | 119 026 |
Jun 05, 2024 | $5.77 | $5.84 | $5.77 | $5.81 | 135 598 |
Jun 04, 2024 | $5.76 | $5.80 | $5.76 | $5.79 | 128 704 |
Jun 03, 2024 | $5.72 | $5.74 | $5.71 | $5.73 | 95 941 |
May 31, 2024 | $5.67 | $5.70 | $5.65 | $5.69 | 208 362 |
May 30, 2024 | $5.65 | $5.68 | $5.63 | $5.64 | 203 215 |
May 29, 2024 | $5.67 | $5.68 | $5.63 | $5.63 | 168 646 |
May 28, 2024 | $5.70 | $5.71 | $5.66 | $5.67 | 95 850 |
May 24, 2024 | $5.70 | $5.70 | $5.66 | $5.68 | 117 827 |
May 23, 2024 | $5.72 | $5.72 | $5.66 | $5.69 | 188 898 |
May 22, 2024 | $5.75 | $5.75 | $5.69 | $5.70 | 112 806 |
May 21, 2024 | $5.76 | $5.76 | $5.74 | $5.75 | 184 487 |
May 20, 2024 | $5.75 | $5.77 | $5.74 | $5.76 | 43 664 |
May 17, 2024 | $5.76 | $5.77 | $5.73 | $5.75 | 311 452 |
May 16, 2024 | $5.76 | $5.76 | $5.73 | $5.75 | 109 491 |
May 15, 2024 | $5.72 | $5.75 | $5.72 | $5.75 | 118 498 |
May 14, 2024 | $5.73 | $5.73 | $5.70 | $5.70 | 92 253 |
May 13, 2024 | $5.78 | $5.78 | $5.71 | $5.71 | 80 452 |
May 10, 2024 | $5.80 | $5.80 | $5.77 | $5.79 | 132 341 |
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 DSM stock historical prices to predict future price movements?
Trend Analysis: Examine the DSM 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 DSM 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.