TSX:SSL
Sandstorm Gold Ltd. Stock Price (Quote)
$7.47
+0.130 (+1.77%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $7.26 | $8.29 | Friday, 14th Jun 2024 SSL.TO stock ended at $7.47. This is 1.77% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 2.19% from a day low at $7.32 to a day high of $7.48. |
90 days | $6.49 | $8.29 | |
52 weeks | $5.36 | $8.29 |
Historical Sandstorm Gold Ltd. prices
Date | Open | High | Low | Close | Volume |
Sep 19, 2017 | $5.64 | $5.83 | $5.59 | $5.82 | 376 596 |
Sep 18, 2017 | $5.73 | $5.76 | $5.61 | $5.64 | 375 374 |
Sep 15, 2017 | $5.92 | $5.92 | $5.71 | $5.80 | 3 062 859 |
Sep 14, 2017 | $5.75 | $5.91 | $5.75 | $5.86 | 234 128 |
Sep 13, 2017 | $5.92 | $5.92 | $5.73 | $5.75 | 297 164 |
Sep 12, 2017 | $5.74 | $5.92 | $5.70 | $5.90 | 234 673 |
Sep 11, 2017 | $5.75 | $5.92 | $5.67 | $5.76 | 364 750 |
Sep 08, 2017 | $5.96 | $6.00 | $5.82 | $5.88 | 361 144 |
Sep 07, 2017 | $5.98 | $6.01 | $5.86 | $5.99 | 431 961 |
Sep 06, 2017 | $6.01 | $6.04 | $5.83 | $5.92 | 511 347 |
Sep 05, 2017 | $5.95 | $6.05 | $5.89 | $6.05 | 524 768 |
Sep 01, 2017 | $5.96 | $5.97 | $5.82 | $5.85 | 463 331 |
Aug 31, 2017 | $5.80 | $5.93 | $5.80 | $5.93 | 381 113 |
Aug 30, 2017 | $5.86 | $5.92 | $5.76 | $5.79 | 399 357 |
Aug 29, 2017 | $6.00 | $6.11 | $5.78 | $5.86 | 547 179 |
Aug 28, 2017 | $5.75 | $5.95 | $5.75 | $5.91 | 445 441 |
Aug 25, 2017 | $5.54 | $5.76 | $5.50 | $5.74 | 382 519 |
Aug 24, 2017 | $5.52 | $5.57 | $5.48 | $5.50 | 275 691 |
Aug 23, 2017 | $5.52 | $5.55 | $5.46 | $5.54 | 85 701 |
Aug 22, 2017 | $5.50 | $5.56 | $5.45 | $5.49 | 294 042 |
Aug 21, 2017 | $5.58 | $5.60 | $5.50 | $5.52 | 210 110 |
Aug 18, 2017 | $5.63 | $5.72 | $5.49 | $5.55 | 630 099 |
Aug 17, 2017 | $5.64 | $5.66 | $5.52 | $5.55 | 298 466 |
Aug 16, 2017 | $5.49 | $5.66 | $5.45 | $5.61 | 535 653 |
Aug 15, 2017 | $5.46 | $5.57 | $5.43 | $5.47 | 278 839 |
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 SSL.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the SSL.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 SSL.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.