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 |
Nov 16, 2023 | £172.00 | £172.00 | £164.60 | £165.00 | 255 612 |
Nov 15, 2023 | £157.20 | £171.40 | £157.20 | £167.00 | 283 941 |
Nov 14, 2023 | £158.00 | £167.00 | £157.00 | £167.00 | 381 315 |
Nov 13, 2023 | £164.00 | £165.80 | £159.92 | £164.60 | 117 736 |
Nov 10, 2023 | £157.00 | £165.80 | £157.00 | £163.20 | 163 100 |
Nov 09, 2023 | £162.76 | £162.80 | £155.60 | £162.80 | 167 661 |
Nov 08, 2023 | £157.60 | £160.00 | £157.40 | £159.20 | 511 108 |
Nov 07, 2023 | £152.20 | £159.46 | £152.20 | £157.80 | 275 936 |
Nov 06, 2023 | £164.60 | £164.60 | £156.60 | £157.20 | 131 117 |
Nov 03, 2023 | £154.80 | £161.60 | £154.80 | £160.00 | 327 960 |
Nov 02, 2023 | £157.80 | £164.80 | £157.20 | £159.60 | 250 194 |
Nov 01, 2023 | £164.40 | £164.40 | £152.60 | £156.60 | 288 281 |
Oct 31, 2023 | £160.80 | £160.80 | £154.20 | £156.40 | 161 190 |
Oct 30, 2023 | £159.00 | £159.00 | £152.40 | £155.00 | 132 284 |
Oct 27, 2023 | £162.20 | £162.20 | £151.80 | £155.00 | 288 673 |
Oct 26, 2023 | £155.40 | £155.60 | £152.00 | £154.20 | 2 380 342 |
Oct 25, 2023 | £158.00 | £159.40 | £155.20 | £156.00 | 332 784 |
Oct 24, 2023 | £158.80 | £158.80 | £158.80 | £158.80 | 0 |
Oct 23, 2023 | £156.40 | £160.20 | £156.40 | £158.80 | 234 970 |
Oct 20, 2023 | £153.80 | £165.80 | £153.80 | £157.00 | 255 693 |
Oct 19, 2023 | £161.40 | £164.40 | £158.42 | £160.20 | 283 697 |
Oct 18, 2023 | £171.60 | £171.60 | £164.20 | £164.20 | 170 316 |
Oct 17, 2023 | £164.00 | £168.80 | £164.00 | £167.40 | 261 098 |
Oct 16, 2023 | £167.80 | £167.80 | £163.36 | £164.80 | 289 085 |
Oct 13, 2023 | £164.79 | £170.00 | £163.00 | £165.00 | 1 142 022 |
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.