TSX:SVM
Silvercorp Metals Inc. Stock Price (Quote)
$5.28
+0 (+0%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.33 | $5.54 | Friday, 24th May 2024 SVM.TO stock ended at $5.28. During the day the stock fluctuated 0% from a day low at $5.28 to a day high of $5.28. |
90 days | $3.20 | $5.54 | |
52 weeks | $2.88 | $5.54 |
Date | Open | High | Low | Close | Volume |
Jan 02, 2024 | $3.50 | $3.51 | $3.38 | $3.41 | 213 660 |
Dec 29, 2023 | $3.51 | $3.53 | $3.45 | $3.45 | 138 246 |
Dec 28, 2023 | $3.62 | $3.64 | $3.53 | $3.53 | 144 544 |
Dec 27, 2023 | $3.66 | $3.74 | $3.65 | $3.66 | 176 718 |
Dec 22, 2023 | $3.73 | $3.85 | $3.67 | $3.68 | 220 499 |
Dec 21, 2023 | $3.70 | $3.70 | $3.64 | $3.65 | 89 248 |
Dec 20, 2023 | $3.73 | $3.79 | $3.59 | $3.59 | 148 939 |
Dec 19, 2023 | $3.70 | $3.79 | $3.64 | $3.69 | 228 305 |
Dec 18, 2023 | $3.65 | $3.68 | $3.58 | $3.61 | 163 443 |
Dec 15, 2023 | $3.70 | $3.77 | $3.63 | $3.69 | 490 664 |
Dec 14, 2023 | $3.85 | $4.00 | $3.70 | $3.76 | 377 823 |
Dec 13, 2023 | $3.44 | $3.79 | $3.44 | $3.78 | 270 731 |
Dec 12, 2023 | $3.58 | $3.58 | $3.43 | $3.43 | 327 597 |
Dec 11, 2023 | $3.56 | $3.57 | $3.49 | $3.55 | 192 906 |
Dec 08, 2023 | $3.58 | $3.69 | $3.58 | $3.62 | 122 088 |
Dec 07, 2023 | $3.72 | $3.72 | $3.62 | $3.62 | 67 956 |
Dec 06, 2023 | $3.70 | $3.76 | $3.65 | $3.69 | 215 426 |
Dec 05, 2023 | $3.78 | $3.79 | $3.66 | $3.70 | 289 583 |
Dec 04, 2023 | $3.85 | $3.91 | $3.75 | $3.80 | 376 482 |
Dec 01, 2023 | $3.91 | $4.02 | $3.80 | $3.92 | 439 023 |
Nov 30, 2023 | $3.73 | $3.97 | $3.73 | $3.91 | 488 013 |
Nov 29, 2023 | $3.63 | $3.78 | $3.59 | $3.73 | 477 325 |
Nov 28, 2023 | $3.54 | $3.64 | $3.52 | $3.64 | 298 714 |
Nov 27, 2023 | $3.41 | $3.57 | $3.40 | $3.53 | 486 987 |
Nov 24, 2023 | $3.28 | $3.35 | $3.15 | $3.28 | 279 042 |
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 SVM.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the SVM.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 SVM.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.