XLON:SNR
New Senior Investment Group Inc Stock Price (Quote)
£156.40
-2.60 (-1.64%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £154.40 | £179.40 | Friday, 14th Jun 2024 SNR.L stock ended at £156.40. This is 1.64% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 7.51% from a day low at £154.40 to a day high of £166.00. |
90 days | £154.40 | £179.80 | |
52 weeks | £146.80 | £183.00 |
Historical New Senior Investment Group Inc prices
Date | Open | High | Low | Close | Volume |
Jun 14, 2024 | £158.00 | £166.00 | £154.40 | £156.40 | 1 078 390 |
Jun 13, 2024 | £162.00 | £163.40 | £158.60 | £159.00 | 1 661 371 |
Jun 12, 2024 | £155.00 | £161.00 | £155.00 | £160.00 | 1 582 328 |
Jun 11, 2024 | £158.20 | £158.20 | £158.20 | £158.20 | 0 |
Jun 10, 2024 | £159.75 | £161.00 | £156.20 | £158.20 | 404 694 |
Jun 06, 2024 | £167.60 | £167.60 | £157.92 | £158.60 | 403 760 |
Jun 05, 2024 | £155.00 | £170.00 | £155.00 | £158.80 | 246 020 |
Jun 04, 2024 | £157.60 | £165.80 | £157.60 | £161.60 | 844 680 |
Jun 03, 2024 | £165.40 | £166.80 | £160.80 | £163.80 | 916 862 |
May 31, 2024 | £155.00 | £160.80 | £155.00 | £159.80 | 1 080 735 |
May 30, 2024 | £155.00 | £162.60 | £155.00 | £160.20 | 1 071 773 |
May 29, 2024 | £160.00 | £166.20 | £157.40 | £157.40 | 1 532 271 |
May 28, 2024 | £173.00 | £175.00 | £164.80 | £164.80 | 1 881 133 |
May 24, 2024 | £178.00 | £178.00 | £166.20 | £171.40 | 296 746 |
May 23, 2024 | £160.20 | £174.60 | £160.20 | £170.40 | 245 817 |
May 22, 2024 | £159.20 | £170.80 | £159.20 | £168.40 | 1 017 908 |
May 21, 2024 | £161.80 | £174.60 | £161.80 | £167.80 | 446 119 |
May 20, 2024 | £170.00 | £172.40 | £169.20 | £170.00 | 456 376 |
May 17, 2024 | £165.00 | £179.40 | £165.00 | £170.00 | 482 562 |
May 16, 2024 | £178.00 | £178.00 | £169.80 | £170.40 | 235 702 |
May 15, 2024 | £169.80 | £171.26 | £165.80 | £170.00 | 1 158 452 |
May 14, 2024 | £167.00 | £170.20 | £167.00 | £169.20 | 217 158 |
May 13, 2024 | £166.00 | £172.00 | £166.00 | £169.40 | 240 651 |
May 10, 2024 | £171.60 | £173.80 | £169.20 | £171.00 | 571 980 |
May 09, 2024 | £160.80 | £169.60 | £160.80 | £169.00 | 540 798 |
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.