XLON:SMT
Scottish Mortgage Investment Trust PLC Stock Price (Quote)
£900.00
+30.00 (+3.45%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £809.60 | £902.60 | Thursday, 23rd May 2024 SMT.L stock ended at £900.00. This is 3.45% more than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 2.76% from a day low at £875.80 to a day high of £900.00. |
90 days | £776.62 | £902.60 | |
52 weeks | £632.20 | £902.60 |
Date | Open | High | Low | Close | Volume |
Dec 29, 2023 | £810.00 | £814.60 | £806.60 | £808.00 | 984 695 |
Dec 28, 2023 | £786.00 | £786.00 | £786.00 | £786.00 | 0 |
Dec 27, 2023 | £797.00 | £805.60 | £781.20 | £798.00 | 1 095 551 |
Dec 22, 2023 | £785.00 | £790.00 | £780.37 | £786.00 | 508 626 |
Dec 21, 2023 | £794.60 | £794.60 | £794.60 | £794.60 | 0 |
Dec 20, 2023 | £805.60 | £805.60 | £786.60 | £794.60 | 2 146 411 |
Dec 19, 2023 | £789.60 | £796.60 | £777.40 | £791.40 | 1 645 872 |
Dec 18, 2023 | £780.00 | £800.40 | £780.00 | £784.80 | 1 702 498 |
Dec 15, 2023 | £780.00 | £791.40 | £774.00 | £784.80 | 4 101 830 |
Dec 14, 2023 | £767.40 | £779.40 | £744.40 | £776.00 | 2 541 283 |
Dec 13, 2023 | £761.00 | £765.60 | £749.00 | £749.00 | 1 971 550 |
Dec 12, 2023 | £753.20 | £761.36 | £747.88 | £754.80 | 2 231 159 |
Dec 11, 2023 | £743.80 | £751.20 | £739.00 | £747.00 | 2 381 640 |
Dec 08, 2023 | £736.60 | £748.60 | £732.22 | £743.20 | 3 736 273 |
Dec 07, 2023 | £728.40 | £735.45 | £722.40 | £735.20 | 1 229 670 |
Dec 06, 2023 | £718.80 | £735.00 | £718.80 | £733.60 | 17 652 222 |
Dec 05, 2023 | £717.20 | £725.80 | £709.40 | £723.20 | 6 947 943 |
Dec 04, 2023 | £718.00 | £725.60 | £712.00 | £712.80 | 2 234 151 |
Dec 01, 2023 | £728.20 | £730.40 | £715.00 | £719.00 | 1 239 478 |
Nov 30, 2023 | £721.60 | £730.40 | £717.00 | £724.60 | 3 285 916 |
Nov 29, 2023 | £706.00 | £723.60 | £705.80 | £720.00 | 1 800 232 |
Nov 28, 2023 | £706.00 | £712.80 | £703.20 | £712.80 | 2 368 338 |
Nov 27, 2023 | £713.00 | £713.00 | £713.00 | £713.00 | 0 |
Nov 24, 2023 | £715.40 | £727.60 | £709.20 | £713.00 | 1 772 589 |
Nov 23, 2023 | £724.40 | £726.20 | £720.00 | £723.60 | 3 292 357 |
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 SMT.L stock historical prices to predict future price movements?
Trend Analysis: Examine the SMT.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 SMT.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.