OTCMKTS:DBMM
Digital Brand Media & Marketing Group, Stock Price (Quote)
$0.0054
+0 (+0%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0036 | $0.0067 | Friday, 24th May 2024 DBMM stock ended at $0.0054. During the day the stock fluctuated 15.69% from a day low at $0.0051 to a day high of $0.0059. |
90 days | $0.0033 | $0.0075 | |
52 weeks | $0.0015 | $0.0188 |
Date | Open | High | Low | Close | Volume |
May 24, 2024 | $0.0054 | $0.0059 | $0.0051 | $0.0054 | 506 613 |
May 23, 2024 | $0.0051 | $0.0058 | $0.0050 | $0.0054 | 1 137 947 |
May 22, 2024 | $0.0051 | $0.0055 | $0.0049 | $0.0053 | 729 011 |
May 21, 2024 | $0.0050 | $0.0056 | $0.0049 | $0.0055 | 1 165 163 |
May 20, 2024 | $0.0058 | $0.0058 | $0.0046 | $0.0055 | 23 074 |
May 17, 2024 | $0.0058 | $0.0058 | $0.0048 | $0.0058 | 2 182 077 |
May 16, 2024 | $0.0054 | $0.0058 | $0.0048 | $0.0058 | 1 907 681 |
May 15, 2024 | $0.0059 | $0.0059 | $0.0051 | $0.0054 | 2 113 557 |
May 14, 2024 | $0.0063 | $0.0065 | $0.0052 | $0.0055 | 1 457 275 |
May 13, 2024 | $0.0056 | $0.0064 | $0.0050 | $0.0063 | 3 187 294 |
May 10, 2024 | $0.0056 | $0.0060 | $0.0052 | $0.0060 | 932 647 |
May 09, 2024 | $0.0053 | $0.0067 | $0.0052 | $0.0057 | 3 576 268 |
May 08, 2024 | $0.0052 | $0.0062 | $0.0052 | $0.0054 | 1 977 802 |
May 07, 2024 | $0.0054 | $0.0062 | $0.0051 | $0.0053 | 1 359 500 |
May 06, 2024 | $0.0053 | $0.0057 | $0.0046 | $0.0056 | 6 806 540 |
May 03, 2024 | $0.0053 | $0.0057 | $0.0050 | $0.0054 | 809 826 |
May 02, 2024 | $0.0054 | $0.0057 | $0.0049 | $0.0053 | 2 129 219 |
May 01, 2024 | $0.0048 | $0.0058 | $0.0046 | $0.0058 | 1 252 793 |
Apr 30, 2024 | $0.0054 | $0.0060 | $0.0046 | $0.0056 | 3 278 655 |
Apr 29, 2024 | $0.0047 | $0.0056 | $0.0043 | $0.0054 | 1 270 241 |
Apr 26, 2024 | $0.0044 | $0.0049 | $0.0040 | $0.0047 | 2 796 362 |
Apr 25, 2024 | $0.0041 | $0.0045 | $0.0039 | $0.0044 | 1 392 365 |
Apr 24, 2024 | $0.0037 | $0.0042 | $0.0036 | $0.0042 | 1 849 510 |
Apr 23, 2024 | $0.0049 | $0.0049 | $0.0036 | $0.0042 | 2 317 741 |
Apr 22, 2024 | $0.0043 | $0.0052 | $0.0040 | $0.0042 | 2 370 037 |
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 DBMM stock historical prices to predict future price movements?
Trend Analysis: Examine the DBMM 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 DBMM 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.