XLON:BVS
Delisted
Bovis Homes Group Stock Price (Quote)
£13.12
+0 (+0%)
At Close: Jan 16, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £12.98 | £14.00 | Thursday, 16th Jan 2020 BVS.L stock ended at £13.12. During the day the stock fluctuated 0% from a day low at £13.12 to a day high of £13.12. |
90 days | £11.20 | £14.02 | |
52 weeks | £9.44 | £1,024.00 |
Date | Open | High | Low | Close | Volume |
Dec 10, 2019 | £12.38 | £12.57 | £12.37 | £12.45 | 438 273 |
Dec 09, 2019 | £12.48 | £12.50 | £12.36 | £12.49 | 484 873 |
Dec 06, 2019 | £12.16 | £12.46 | £12.16 | £12.37 | 388 427 |
Dec 05, 2019 | £12.30 | £12.44 | £12.20 | £12.26 | 532 009 |
Dec 04, 2019 | £12.13 | £12.29 | £11.91 | £12.23 | 491 159 |
Dec 03, 2019 | £12.22 | £12.22 | £11.93 | £12.03 | 351 325 |
Dec 02, 2019 | £12.34 | £12.41 | £12.10 | £12.11 | 447 809 |
Nov 29, 2019 | £12.34 | £12.50 | £12.21 | £12.25 | 236 967 |
Nov 28, 2019 | £12.13 | £12.13 | £12.13 | £12.13 | 0 |
Nov 27, 2019 | £12.13 | £12.13 | £12.13 | £12.13 | 0 |
Nov 26, 2019 | £12.29 | £12.29 | £12.06 | £12.13 | 477 154 |
Nov 25, 2019 | £11.90 | £12.28 | £11.88 | £12.19 | 406 980 |
Nov 22, 2019 | £11.74 | £11.94 | £11.56 | £11.94 | 402 428 |
Nov 21, 2019 | £11.71 | £11.71 | £11.48 | £11.67 | 304 513 |
Nov 20, 2019 | £11.65 | £11.67 | £11.47 | £11.63 | 213 963 |
Nov 19, 2019 | £11.78 | £11.84 | £11.61 | £11.61 | 359 649 |
Nov 18, 2019 | £11.67 | £11.84 | £11.52 | £11.68 | 462 399 |
Nov 15, 2019 | £11.33 | £11.65 | £11.27 | £11.60 | 663 094 |
Nov 14, 2019 | £11.63 | £11.63 | £11.20 | £11.25 | 616 939 |
Nov 13, 2019 | £11.50 | £11.71 | £11.30 | £11.43 | 469 456 |
Nov 12, 2019 | £11.68 | £11.85 | £11.53 | £11.56 | 560 008 |
Nov 11, 2019 | £11.42 | £11.65 | £11.30 | £11.65 | 772 934 |
Nov 08, 2019 | £11.30 | £11.47 | £11.21 | £11.38 | 977 061 |
Nov 07, 2019 | £11.47 | £11.72 | £11.37 | £11.55 | 686 617 |
Nov 06, 2019 | £11.90 | £11.90 | £11.53 | £11.63 | 130 037 |
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 BVS.L stock historical prices to predict future price movements?
Trend Analysis: Examine the BVS.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 BVS.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.