NYSE:SILV
Silvercrest Metals Inc Stock Price (Quote)
$9.41
+0.340 (+3.75%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.98 | $9.41 | Friday, 17th May 2024 SILV stock ended at $9.41. This is 3.75% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 4.32% from a day low at $9.02 to a day high of $9.41. |
90 days | $4.83 | $9.41 | |
52 weeks | $4.16 | $9.41 |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | $5.36 | $5.61 | $5.35 | $5.46 | 1 836 426 |
Nov 15, 2023 | $5.37 | $5.39 | $5.23 | $5.29 | 970 038 |
Nov 14, 2023 | $5.21 | $5.35 | $5.15 | $5.34 | 998 175 |
Nov 13, 2023 | $5.12 | $5.23 | $5.06 | $5.10 | 853 698 |
Nov 10, 2023 | $5.12 | $5.19 | $4.91 | $5.17 | 1 466 633 |
Nov 09, 2023 | $5.15 | $5.54 | $5.07 | $5.19 | 1 822 672 |
Nov 08, 2023 | $4.96 | $5.04 | $4.96 | $4.98 | 786 562 |
Nov 07, 2023 | $4.97 | $5.04 | $4.80 | $5.04 | 1 052 589 |
Nov 06, 2023 | $5.26 | $5.26 | $5.03 | $5.03 | 840 889 |
Nov 03, 2023 | $5.01 | $5.32 | $5.01 | $5.22 | 1 234 081 |
Nov 02, 2023 | $5.00 | $5.04 | $4.86 | $4.96 | 1 297 334 |
Nov 01, 2023 | $4.96 | $5.03 | $4.84 | $4.95 | 747 556 |
Oct 31, 2023 | $5.01 | $5.12 | $4.93 | $4.97 | 1 398 434 |
Oct 30, 2023 | $5.09 | $5.16 | $5.01 | $5.01 | 786 923 |
Oct 27, 2023 | $4.98 | $5.05 | $4.88 | $5.03 | 1 036 606 |
Oct 26, 2023 | $4.97 | $5.03 | $4.86 | $4.97 | 988 267 |
Oct 25, 2023 | $5.11 | $5.21 | $5.00 | $5.00 | 1 816 618 |
Oct 24, 2023 | $4.94 | $5.17 | $4.91 | $5.15 | 1 662 296 |
Oct 23, 2023 | $4.99 | $5.07 | $4.81 | $5.00 | 1 380 459 |
Oct 20, 2023 | $5.09 | $5.31 | $5.03 | $5.05 | 2 888 757 |
Oct 19, 2023 | $4.90 | $5.08 | $4.83 | $5.06 | 2 205 380 |
Oct 18, 2023 | $5.00 | $5.04 | $4.83 | $4.89 | 2 133 226 |
Oct 17, 2023 | $4.76 | $4.94 | $4.67 | $4.93 | 1 710 668 |
Oct 16, 2023 | $4.89 | $4.89 | $4.72 | $4.76 | 1 199 853 |
Oct 13, 2023 | $4.83 | $4.92 | $4.82 | $4.90 | 1 904 692 |
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 SILV stock historical prices to predict future price movements?
Trend Analysis: Examine the SILV 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 SILV 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.