TSX:SBB
Delisted
Sabina Gold & Silver Corp. Stock Price (Quote)
$2.16
+0 (+0%)
At Close: Jul 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.16 | $2.16 | Wednesday, 19th Jul 2023 SBB.TO stock ended at $2.16. During the day the stock fluctuated 0% from a day low at $2.16 to a day high of $2.16. |
90 days | $2.10 | $2.18 | |
52 weeks | $0.93 | $2.26 |
Date | Open | High | Low | Close | Volume |
Nov 07, 2022 | $1.20 | $1.21 | $1.17 | $1.20 | 330 000 |
Nov 04, 2022 | $1.15 | $1.20 | $1.11 | $1.18 | 2 418 800 |
Nov 03, 2022 | $1.12 | $1.14 | $1.11 | $1.13 | 2 697 600 |
Nov 02, 2022 | $1.18 | $1.18 | $1.10 | $1.13 | 815 200 |
Nov 01, 2022 | $1.13 | $1.17 | $1.12 | $1.16 | 210 700 |
Oct 31, 2022 | $1.12 | $1.16 | $1.07 | $1.11 | 581 900 |
Oct 28, 2022 | $1.18 | $1.18 | $1.13 | $1.16 | 245 600 |
Oct 27, 2022 | $1.21 | $1.23 | $1.18 | $1.18 | 508 300 |
Oct 26, 2022 | $1.19 | $1.23 | $1.19 | $1.20 | 606 400 |
Oct 25, 2022 | $1.15 | $1.20 | $1.14 | $1.19 | 688 700 |
Oct 24, 2022 | $1.18 | $1.20 | $1.16 | $1.18 | 330 800 |
Oct 21, 2022 | $1.15 | $1.21 | $1.14 | $1.19 | 304 200 |
Oct 20, 2022 | $1.15 | $1.20 | $1.14 | $1.15 | 547 100 |
Oct 19, 2022 | $1.15 | $1.16 | $1.13 | $1.15 | 374 800 |
Oct 18, 2022 | $1.20 | $1.22 | $1.15 | $1.16 | 398 100 |
Oct 17, 2022 | $1.22 | $1.22 | $1.17 | $1.18 | 537 900 |
Oct 14, 2022 | $1.23 | $1.23 | $1.15 | $1.16 | 826 400 |
Oct 13, 2022 | $1.20 | $1.25 | $1.16 | $1.23 | 709 000 |
Oct 12, 2022 | $1.21 | $1.26 | $1.20 | $1.25 | 391 300 |
Oct 11, 2022 | $1.16 | $1.26 | $1.16 | $1.22 | 818 600 |
Oct 07, 2022 | $1.24 | $1.24 | $1.20 | $1.22 | 491 800 |
Oct 06, 2022 | $1.22 | $1.27 | $1.18 | $1.27 | 761 400 |
Oct 05, 2022 | $1.16 | $1.25 | $1.16 | $1.22 | 549 100 |
Oct 04, 2022 | $1.21 | $1.27 | $1.21 | $1.22 | 873 400 |
Oct 03, 2022 | $1.12 | $1.19 | $1.12 | $1.18 | 567 100 |
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 SBB.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the SBB.TO 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 SBB.TO 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.