OTCMKTS:DMNXF
Delisted
Sayona Mining Limited Stock Price (Quote)
$0.0940
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0940 | $0.0940 | Wednesday, 17th Aug 2022 DMNXF stock ended at $0.0940. During the day the stock fluctuated 0% from a day low at $0.0940 to a day high of $0.0940. |
90 days | $0.0940 | $0.0940 | |
52 weeks | $0.0700 | $0.150 |
Date | Open | High | Low | Close | Volume |
Oct 29, 2021 | $0.121 | $0.126 | $0.121 | $0.125 | 692 960 |
Oct 28, 2021 | $0.126 | $0.126 | $0.116 | $0.124 | 1 262 776 |
Oct 27, 2021 | $0.134 | $0.134 | $0.120 | $0.130 | 2 607 117 |
Oct 26, 2021 | $0.139 | $0.139 | $0.129 | $0.137 | 4 297 713 |
Oct 25, 2021 | $0.115 | $0.130 | $0.115 | $0.129 | 1 967 451 |
Oct 22, 2021 | $0.120 | $0.122 | $0.115 | $0.118 | 1 639 401 |
Oct 21, 2021 | $0.106 | $0.120 | $0.106 | $0.118 | 1 643 954 |
Oct 20, 2021 | $0.120 | $0.120 | $0.112 | $0.118 | 1 643 954 |
Oct 19, 2021 | $0.120 | $0.120 | $0.115 | $0.119 | 2 447 379 |
Oct 18, 2021 | $0.109 | $0.120 | $0.109 | $0.115 | 532 179 |
Oct 15, 2021 | $0.120 | $0.120 | $0.112 | $0.113 | 1 487 463 |
Oct 14, 2021 | $0.112 | $0.118 | $0.110 | $0.115 | 610 172 |
Oct 13, 2021 | $0.101 | $0.119 | $0.101 | $0.112 | 1 116 503 |
Oct 12, 2021 | $0.119 | $0.119 | $0.109 | $0.112 | 1 116 503 |
Oct 11, 2021 | $0.119 | $0.119 | $0.115 | $0.118 | 1 009 473 |
Oct 08, 2021 | $0.118 | $0.119 | $0.110 | $0.118 | 1 009 473 |
Oct 07, 2021 | $0.119 | $0.119 | $0.110 | $0.115 | 4 550 301 |
Oct 06, 2021 | $0.118 | $0.118 | $0.107 | $0.115 | 1 202 418 |
Oct 05, 2021 | $0.126 | $0.126 | $0.115 | $0.116 | 3 386 189 |
Oct 04, 2021 | $0.124 | $0.128 | $0.120 | $0.127 | 4 019 637 |
Oct 01, 2021 | $0.130 | $0.130 | $0.125 | $0.125 | 1 745 266 |
Sep 30, 2021 | $0.130 | $0.130 | $0.124 | $0.128 | 1 613 512 |
Sep 29, 2021 | $0.131 | $0.137 | $0.124 | $0.128 | 563 430 |
Sep 28, 2021 | $0.137 | $0.137 | $0.124 | $0.128 | 447 880 |
Sep 27, 2021 | $0.137 | $0.137 | $0.124 | $0.131 | 1 237 595 |
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 DMNXF stock historical prices to predict future price movements?
Trend Analysis: Examine the DMNXF 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 DMNXF 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.