XLON:SNR
New Senior Investment Group Inc Stock Price (Quote)
£170.00
-0.400 (-0.235%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £156.40 | £179.40 | Friday, 17th May 2024 SNR.L stock ended at £170.00. This is 0.235% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 8.73% from a day low at £165.00 to a day high of £179.40. |
90 days | £155.60 | £180.60 | |
52 weeks | £146.80 | £184.00 |
Date | Open | High | Low | Close | Volume |
Jun 28, 2023 | £169.60 | £172.80 | £168.70 | £172.20 | 2 144 315 |
Jun 27, 2023 | £168.20 | £170.40 | £167.20 | £169.20 | 1 587 037 |
Jun 26, 2023 | £169.34 | £169.86 | £166.80 | £167.80 | 664 486 |
Jun 23, 2023 | £170.60 | £170.60 | £167.20 | £168.80 | 852 083 |
Jun 22, 2023 | £170.20 | £171.38 | £168.60 | £171.00 | 534 807 |
Jun 21, 2023 | £167.60 | £171.60 | £158.13 | £171.40 | 1 223 414 |
Jun 20, 2023 | £172.00 | £172.00 | £162.82 | £168.20 | 263 186 |
Jun 19, 2023 | £172.21 | £179.80 | £168.20 | £169.60 | 3 615 747 |
Jun 16, 2023 | £171.40 | £173.00 | £170.00 | £170.80 | 2 174 944 |
Jun 15, 2023 | £173.80 | £174.20 | £168.60 | £171.00 | 683 884 |
Jun 14, 2023 | £171.00 | £172.60 | £166.80 | £172.40 | 1 275 702 |
Jun 13, 2023 | £166.00 | £171.80 | £166.00 | £168.60 | 339 990 |
Jun 12, 2023 | £166.49 | £171.16 | £165.61 | £168.40 | 1 975 495 |
Jun 09, 2023 | £178.40 | £179.20 | £167.40 | £168.60 | 264 023 |
Jun 08, 2023 | £166.80 | £170.40 | £166.80 | £168.60 | 728 047 |
Jun 07, 2023 | £170.00 | £171.60 | £166.00 | £168.40 | 581 818 |
Jun 06, 2023 | £171.20 | £171.20 | £168.80 | £169.00 | 138 897 |
Jun 05, 2023 | £179.80 | £179.80 | £166.60 | £171.00 | 165 470 |
Jun 02, 2023 | £177.20 | £177.20 | £169.50 | £171.80 | 2 447 763 |
Jun 01, 2023 | £166.00 | £174.53 | £166.00 | £169.00 | 117 586 |
May 31, 2023 | £171.40 | £173.60 | £167.40 | £167.40 | 519 229 |
May 30, 2023 | £179.60 | £179.60 | £170.22 | £172.40 | 371 425 |
May 26, 2023 | £179.80 | £179.80 | £170.78 | £172.00 | 254 816 |
May 25, 2023 | £172.60 | £173.22 | £170.20 | £172.20 | 163 711 |
May 24, 2023 | £176.00 | £176.00 | £169.20 | £171.40 | 443 597 |
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 SNR.L stock historical prices to predict future price movements?
Trend Analysis: Examine the SNR.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 SNR.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.