PINK:OBNNF
Osisko Mining Inc. Stock Price (Quote)
$2.15
+0.0100 (+0.467%)
At Close: Jun 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.11 | $2.38 | Monday, 17th Jun 2024 OBNNF stock ended at $2.15. This is 0.467% more than the trading day before Friday, 14th Jun 2024. During the day the stock fluctuated 1.90% from a day low at $2.11 to a day high of $2.15. |
90 days | $1.93 | $2.38 | |
52 weeks | $1.72 | $2.52 |
Historical Osisko Mining Inc. prices
Date | Open | High | Low | Close | Volume |
Dec 26, 2019 | $2.88 | $3.00 | $2.86 | $2.97 | 145 328 |
Dec 24, 2019 | $2.82 | $2.86 | $2.74 | $2.83 | 135 764 |
Dec 23, 2019 | $2.59 | $2.74 | $2.58 | $2.74 | 103 338 |
Dec 20, 2019 | $2.69 | $2.71 | $2.60 | $2.60 | 121 997 |
Dec 19, 2019 | $2.79 | $2.81 | $2.68 | $2.68 | 156 371 |
Dec 18, 2019 | $2.77 | $2.84 | $2.68 | $2.72 | 129 508 |
Dec 17, 2019 | $2.78 | $2.81 | $2.74 | $2.77 | 235 873 |
Dec 16, 2019 | $2.75 | $2.82 | $2.69 | $2.76 | 279 620 |
Dec 13, 2019 | $2.59 | $2.77 | $2.55 | $2.65 | 308 995 |
Dec 12, 2019 | $2.52 | $2.59 | $2.51 | $2.54 | 176 272 |
Dec 11, 2019 | $2.50 | $2.50 | $2.37 | $2.45 | 293 325 |
Dec 10, 2019 | $2.35 | $2.36 | $2.31 | $2.33 | 273 022 |
Dec 09, 2019 | $2.27 | $2.35 | $2.27 | $2.30 | 60 884 |
Dec 06, 2019 | $2.31 | $2.35 | $2.27 | $2.27 | 145 048 |
Dec 05, 2019 | $2.35 | $2.38 | $2.29 | $2.35 | 97 625 |
Dec 04, 2019 | $2.27 | $2.34 | $2.20 | $2.30 | 135 556 |
Dec 03, 2019 | $2.30 | $2.30 | $2.22 | $2.25 | 134 744 |
Dec 02, 2019 | $2.18 | $2.22 | $2.14 | $2.18 | 156 446 |
Nov 29, 2019 | $2.07 | $2.18 | $2.07 | $2.18 | 123 778 |
Nov 27, 2019 | $2.05 | $2.08 | $2.05 | $2.08 | 156 315 |
Nov 26, 2019 | $2.02 | $2.07 | $2.00 | $2.06 | 283 469 |
Nov 25, 2019 | $2.12 | $2.13 | $2.01 | $2.02 | 165 951 |
Nov 22, 2019 | $2.05 | $2.08 | $2.01 | $2.08 | 173 915 |
Nov 21, 2019 | $2.13 | $2.16 | $2.05 | $2.06 | 301 712 |
Nov 20, 2019 | $2.11 | $2.15 | $2.08 | $2.12 | 228 302 |
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 OBNNF stock historical prices to predict future price movements?
Trend Analysis: Examine the OBNNF 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 OBNNF 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.