NYSE:SNN
Smith & Nephew SNATS Inc Stock Price (Quote)
$26.09
+0.240 (+0.93%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $23.80 | $26.13 | Friday, 17th May 2024 SNN stock ended at $26.09. This is 0.93% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.20% from a day low at $25.82 to a day high of $26.13. |
90 days | $23.65 | $28.93 | |
52 weeks | $21.53 | $32.28 |
Date | Open | High | Low | Close | Volume |
May 19, 2023 | $32.02 | $32.14 | $31.81 | $31.87 | 884 992 |
May 18, 2023 | $32.33 | $32.36 | $31.90 | $32.10 | 725 593 |
May 17, 2023 | $32.65 | $32.71 | $32.41 | $32.50 | 794 986 |
May 16, 2023 | $32.28 | $32.56 | $32.24 | $32.50 | 840 941 |
May 15, 2023 | $32.00 | $32.34 | $32.00 | $32.27 | 512 591 |
May 12, 2023 | $31.79 | $31.84 | $31.58 | $31.63 | 423 687 |
May 11, 2023 | $31.81 | $31.96 | $31.68 | $31.81 | 427 196 |
May 10, 2023 | $31.53 | $31.84 | $31.48 | $31.83 | 795 370 |
May 09, 2023 | $31.75 | $31.80 | $31.54 | $31.55 | 1 125 934 |
May 08, 2023 | $31.93 | $31.98 | $31.69 | $31.77 | 652 664 |
May 05, 2023 | $31.79 | $32.13 | $31.76 | $32.04 | 648 763 |
May 04, 2023 | $32.17 | $32.21 | $31.96 | $32.01 | 809 049 |
May 03, 2023 | $32.49 | $32.52 | $32.09 | $32.13 | 973 091 |
May 02, 2023 | $32.24 | $32.47 | $32.23 | $32.45 | 696 311 |
May 01, 2023 | $32.52 | $32.81 | $32.52 | $32.67 | 638 407 |
Apr 28, 2023 | $32.73 | $33.09 | $32.63 | $32.70 | 860 187 |
Apr 27, 2023 | $32.01 | $32.39 | $31.97 | $32.35 | 1 367 796 |
Apr 26, 2023 | $32.43 | $32.43 | $32.06 | $32.07 | 1 398 908 |
Apr 25, 2023 | $31.44 | $31.67 | $31.34 | $31.51 | 982 791 |
Apr 24, 2023 | $31.90 | $32.03 | $31.75 | $31.89 | 717 654 |
Apr 21, 2023 | $31.44 | $32.02 | $31.34 | $31.90 | 1 403 586 |
Apr 20, 2023 | $31.05 | $31.10 | $30.86 | $30.92 | 859 236 |
Apr 19, 2023 | $30.03 | $30.75 | $29.93 | $30.66 | 1 057 720 |
Apr 18, 2023 | $29.96 | $29.97 | $29.64 | $29.68 | 534 686 |
Apr 17, 2023 | $29.85 | $29.87 | $29.54 | $29.66 | 426 418 |
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 SNN stock historical prices to predict future price movements?
Trend Analysis: Examine the SNN 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 SNN 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.