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 |
Feb 24, 2023 | $1.66 | $1.74 | $1.64 | $1.71 | 2 011 900 |
Feb 23, 2023 | $1.66 | $1.69 | $1.66 | $1.67 | 830 700 |
Feb 22, 2023 | $1.68 | $1.68 | $1.65 | $1.66 | 2 406 500 |
Feb 21, 2023 | $1.68 | $1.71 | $1.67 | $1.68 | 1 372 800 |
Feb 17, 2023 | $1.69 | $1.73 | $1.67 | $1.71 | 2 627 100 |
Feb 16, 2023 | $1.69 | $1.74 | $1.69 | $1.72 | 3 392 900 |
Feb 15, 2023 | $1.70 | $1.74 | $1.68 | $1.73 | 2 954 700 |
Feb 14, 2023 | $1.69 | $1.75 | $1.68 | $1.75 | 8 219 200 |
Feb 13, 2023 | $1.68 | $1.80 | $1.68 | $1.74 | 16 153 800 |
Feb 10, 2023 | $1.57 | $1.60 | $1.50 | $1.58 | 1 210 100 |
Feb 09, 2023 | $1.51 | $1.60 | $1.50 | $1.56 | 2 808 100 |
Feb 08, 2023 | $1.40 | $1.51 | $1.37 | $1.50 | 1 237 000 |
Feb 07, 2023 | $1.33 | $1.41 | $1.33 | $1.37 | 719 100 |
Feb 06, 2023 | $1.32 | $1.36 | $1.31 | $1.33 | 555 300 |
Feb 03, 2023 | $1.35 | $1.38 | $1.31 | $1.32 | 679 000 |
Feb 02, 2023 | $1.40 | $1.42 | $1.36 | $1.39 | 479 500 |
Feb 01, 2023 | $1.35 | $1.40 | $1.34 | $1.40 | 721 000 |
Jan 31, 2023 | $1.36 | $1.37 | $1.33 | $1.35 | 384 200 |
Jan 30, 2023 | $1.38 | $1.39 | $1.35 | $1.35 | 361 700 |
Jan 27, 2023 | $1.36 | $1.39 | $1.34 | $1.39 | 928 600 |
Jan 26, 2023 | $1.38 | $1.40 | $1.35 | $1.35 | 296 500 |
Jan 25, 2023 | $1.37 | $1.40 | $1.36 | $1.37 | 356 300 |
Jan 24, 2023 | $1.34 | $1.40 | $1.33 | $1.39 | 559 000 |
Jan 23, 2023 | $1.34 | $1.34 | $1.31 | $1.34 | 341 700 |
Jan 20, 2023 | $1.30 | $1.36 | $1.30 | $1.34 | 339 700 |
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.