XLON:SMWH
WH Smith PLC Stock Price (Quote)
£1,181.00
+8.00 (+0.682%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1,069.00 | £1,309.00 | Friday, 17th May 2024 SMWH.L stock ended at £1,181.00. This is 0.682% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.43% from a day low at £1,165.00 to a day high of £1,193.30. |
90 days | £1,069.00 | £1,343.00 | |
52 weeks | £1,069.00 | £1,680.00 |
Date | Open | High | Low | Close | Volume |
Mar 05, 2024 | £1,224.00 | £1,234.00 | £1,217.00 | £1,221.00 | 173 360 |
Mar 04, 2024 | £1,246.00 | £1,248.00 | £1,230.00 | £1,236.00 | 193 071 |
Mar 01, 2024 | £1,230.00 | £1,247.00 | £1,224.00 | £1,242.00 | 190 528 |
Feb 29, 2024 | £1,241.00 | £1,273.16 | £1,235.00 | £1,236.00 | 434 091 |
Feb 28, 2024 | £1,300.00 | £1,305.00 | £1,266.00 | £1,266.00 | 519 379 |
Feb 27, 2024 | £1,293.00 | £1,307.00 | £1,293.00 | £1,305.00 | 360 008 |
Feb 26, 2024 | £1,312.00 | £1,312.00 | £1,291.00 | £1,296.00 | 452 819 |
Feb 23, 2024 | £1,327.00 | £1,327.00 | £1,294.00 | £1,298.00 | 417 791 |
Feb 22, 2024 | £1,291.00 | £1,309.00 | £1,291.00 | £1,296.00 | 420 055 |
Feb 21, 2024 | £1,290.00 | £1,315.00 | £1,285.00 | £1,304.00 | 410 123 |
Feb 20, 2024 | £1,258.00 | £1,288.45 | £1,258.00 | £1,286.00 | 190 925 |
Feb 19, 2024 | £1,262.00 | £1,275.00 | £1,255.00 | £1,272.00 | 159 091 |
Feb 16, 2024 | £1,262.00 | £1,282.00 | £1,254.00 | £1,258.00 | 191 749 |
Feb 15, 2024 | £1,227.00 | £1,268.00 | £1,227.00 | £1,260.00 | 343 141 |
Feb 14, 2024 | £1,238.00 | £1,264.80 | £1,238.00 | £1,251.00 | 284 818 |
Feb 13, 2024 | £1,291.00 | £1,291.00 | £1,234.00 | £1,237.00 | 584 777 |
Feb 12, 2024 | £1,260.00 | £1,272.00 | £1,243.00 | £1,263.00 | 269 865 |
Feb 09, 2024 | £1,249.00 | £1,250.00 | £1,240.00 | £1,244.00 | 551 570 |
Feb 08, 2024 | £1,245.00 | £1,249.00 | £1,236.00 | £1,239.00 | 394 909 |
Feb 07, 2024 | £1,257.00 | £1,257.00 | £1,236.00 | £1,240.00 | 230 376 |
Feb 06, 2024 | £1,235.00 | £1,255.00 | £1,231.00 | £1,253.00 | 273 322 |
Feb 05, 2024 | £1,267.00 | £1,267.00 | £1,228.00 | £1,231.00 | 319 038 |
Feb 02, 2024 | £1,239.00 | £1,259.00 | £1,232.00 | £1,241.00 | 357 569 |
Feb 01, 2024 | £1,206.00 | £1,242.00 | £1,193.84 | £1,229.00 | 365 096 |
Jan 31, 2024 | £1,217.69 | £1,224.00 | £1,205.84 | £1,211.00 | 822 775 |
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 SMWH.L stock historical prices to predict future price movements?
Trend Analysis: Examine the SMWH.L 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 SMWH.L 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.