NYSE:SAND
Sandstorm Gold Ltd Stock Price (Quote)
$5.80
+0.0300 (+0.520%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.31 | $6.07 | Friday, 24th May 2024 SAND stock ended at $5.80. This is 0.520% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 1.82% from a day low at $5.77 to a day high of $5.87. |
90 days | $3.99 | $6.07 | |
52 weeks | $3.96 | $6.07 |
Date | Open | High | Low | Close | Volume |
Jan 18, 2017 | $4.53 | $4.58 | $4.26 | $4.36 | 1 912 654 |
Jan 17, 2017 | $4.64 | $4.66 | $4.42 | $4.51 | 1 519 448 |
Jan 13, 2017 | $4.27 | $4.41 | $4.20 | $4.30 | 1 093 868 |
Jan 12, 2017 | $4.49 | $4.52 | $4.23 | $4.30 | 1 578 344 |
Jan 11, 2017 | $4.30 | $4.46 | $4.18 | $4.36 | 1 691 072 |
Jan 10, 2017 | $4.27 | $4.52 | $4.27 | $4.31 | 1 799 260 |
Jan 09, 2017 | $4.29 | $4.50 | $4.20 | $4.27 | 2 631 809 |
Jan 06, 2017 | $4.39 | $4.47 | $4.04 | $4.16 | 2 373 451 |
Jan 05, 2017 | $4.27 | $4.47 | $4.27 | $4.42 | 2 564 658 |
Jan 04, 2017 | $4.21 | $4.22 | $4.08 | $4.20 | 1 103 602 |
Jan 03, 2017 | $3.94 | $4.17 | $3.90 | $4.16 | 1 462 320 |
Dec 30, 2016 | $4.17 | $4.26 | $3.88 | $3.90 | 2 094 900 |
Dec 29, 2016 | $3.82 | $4.16 | $3.78 | $4.13 | 3 151 874 |
Dec 28, 2016 | $3.55 | $3.79 | $3.49 | $3.77 | 1 451 355 |
Dec 27, 2016 | $3.53 | $3.59 | $3.48 | $3.55 | 960 098 |
Dec 23, 2016 | $3.43 | $3.48 | $3.38 | $3.48 | 842 189 |
Dec 22, 2016 | $3.33 | $3.45 | $3.33 | $3.41 | 987 595 |
Dec 21, 2016 | $3.40 | $3.46 | $3.34 | $3.37 | 1 121 261 |
Dec 20, 2016 | $3.22 | $3.43 | $3.20 | $3.38 | 1 491 398 |
Dec 19, 2016 | $3.33 | $3.40 | $3.28 | $3.34 | 1 598 887 |
Dec 16, 2016 | $3.40 | $3.51 | $3.28 | $3.28 | 5 761 642 |
Dec 15, 2016 | $3.44 | $3.53 | $3.31 | $3.38 | 3 205 327 |
Dec 14, 2016 | $3.87 | $3.92 | $3.60 | $3.60 | 2 690 063 |
Dec 13, 2016 | $3.74 | $3.82 | $3.70 | $3.76 | 1 674 080 |
Dec 12, 2016 | $3.86 | $3.91 | $3.73 | $3.78 | 2 016 696 |
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 SAND stock historical prices to predict future price movements?
Trend Analysis: Examine the SAND 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 SAND 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.