TSX:SVM
Silvercorp Metals Inc. Stock Price (Quote)
$5.44
-0.1000 (-1.81%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.33 | $5.98 | Friday, 31st May 2024 SVM.TO stock ended at $5.44. This is 1.81% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 5.42% from a day low at $5.35 to a day high of $5.64. |
90 days | $3.40 | $5.98 | |
52 weeks | $2.88 | $5.98 |
Historical Silvercorp Metals Inc. prices
Date | Open | High | Low | Close | Volume |
Jan 29, 2018 | $3.31 | $3.37 | $3.16 | $3.22 | 469 413 |
Jan 26, 2018 | $3.41 | $3.45 | $3.32 | $3.35 | 340 057 |
Jan 25, 2018 | $3.61 | $3.61 | $3.35 | $3.39 | 435 579 |
Jan 24, 2018 | $3.55 | $3.63 | $3.48 | $3.56 | 425 807 |
Jan 23, 2018 | $3.34 | $3.46 | $3.27 | $3.45 | 369 850 |
Jan 22, 2018 | $3.42 | $3.47 | $3.33 | $3.34 | 239 926 |
Jan 19, 2018 | $3.44 | $3.48 | $3.39 | $3.41 | 170 052 |
Jan 18, 2018 | $3.53 | $3.53 | $3.37 | $3.39 | 282 535 |
Jan 17, 2018 | $3.60 | $3.63 | $3.50 | $3.52 | 311 191 |
Jan 16, 2018 | $3.72 | $3.72 | $3.54 | $3.60 | 315 844 |
Jan 12, 2018 | $3.59 | $3.67 | $3.55 | $3.63 | 414 175 |
Jan 11, 2018 | $3.48 | $3.54 | $3.46 | $3.52 | 281 252 |
Jan 10, 2018 | $3.37 | $3.50 | $3.33 | $3.46 | 311 208 |
Jan 09, 2018 | $3.36 | $3.40 | $3.14 | $3.32 | 333 262 |
Jan 08, 2018 | $3.48 | $3.54 | $3.37 | $3.39 | 214 057 |
Jan 05, 2018 | $3.53 | $3.56 | $3.43 | $3.50 | 242 857 |
Jan 04, 2018 | $3.48 | $3.63 | $3.48 | $3.57 | 426 207 |
Jan 03, 2018 | $3.53 | $3.63 | $3.45 | $3.48 | 594 240 |
Jan 02, 2018 | $3.35 | $3.61 | $3.33 | $3.60 | 613 005 |
Dec 29, 2017 | $3.41 | $3.41 | $3.28 | $3.28 | 497 270 |
Dec 28, 2017 | $3.49 | $3.50 | $3.36 | $3.38 | 177 977 |
Dec 27, 2017 | $3.51 | $3.55 | $3.44 | $3.47 | 278 933 |
Dec 26, 2017 | $3.44 | $3.44 | $3.44 | $3.44 | 0 |
Dec 22, 2017 | $3.38 | $3.48 | $3.35 | $3.44 | 408 216 |
Dec 21, 2017 | $3.33 | $3.39 | $3.28 | $3.36 | 178 015 |
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.