XLON:OXB
Oxford Biomedica Stock Price (Quote)
£327.00
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £250.50 | £357.39 | Thursday, 30th May 2024 OXB.L stock ended at £327.00. During the day the stock fluctuated 0% from a day low at £327.00 to a day high of £327.00. |
90 days | £167.00 | £357.39 | |
52 weeks | £164.29 | £474.50 |
Historical Oxford Biomedica prices
Date | Open | High | Low | Close | Volume |
Oct 03, 2016 | £3.36 | £3.36 | £3.30 | £3.32 | 7 055 184 |
Sep 30, 2016 | £3.30 | £3.30 | £3.20 | £3.30 | 2 720 333 |
Sep 29, 2016 | £3.35 | £3.35 | £3.31 | £3.32 | 749 377 |
Sep 28, 2016 | £3.35 | £3.35 | £3.31 | £3.32 | 2 635 916 |
Sep 27, 2016 | £3.26 | £3.32 | £3.26 | £3.30 | 1 633 468 |
Sep 26, 2016 | £3.35 | £3.35 | £3.25 | £3.26 | 3 933 316 |
Sep 23, 2016 | £3.44 | £3.50 | £3.30 | £3.35 | 2 366 397 |
Sep 22, 2016 | £3.35 | £3.50 | £3.25 | £3.33 | 8 358 359 |
Sep 21, 2016 | £3.35 | £3.40 | £3.31 | £3.35 | 4 382 806 |
Sep 20, 2016 | £3.35 | £3.54 | £3.30 | £3.36 | 2 921 748 |
Sep 19, 2016 | £3.50 | £3.63 | £3.20 | £3.30 | 7 607 618 |
Sep 16, 2016 | £3.65 | £3.73 | £3.40 | £3.40 | 4 093 321 |
Sep 15, 2016 | £3.94 | £3.94 | £3.59 | £3.67 | 4 297 119 |
Sep 14, 2016 | £3.91 | £4.00 | £3.75 | £3.82 | 5 245 793 |
Sep 13, 2016 | £3.75 | £3.99 | £3.60 | £3.85 | 26 306 858 |
Sep 12, 2016 | £4.19 | £4.29 | £4.15 | £4.20 | 1 140 048 |
Sep 09, 2016 | £4.15 | £4.25 | £4.15 | £4.20 | 1 222 352 |
Sep 08, 2016 | £4.25 | £4.30 | £4.15 | £4.23 | 1 215 137 |
Sep 07, 2016 | £4.10 | £4.50 | £4.10 | £4.28 | 2 694 770 |
Sep 06, 2016 | £4.29 | £4.29 | £4.23 | £4.24 | 699 186 |
Sep 05, 2016 | £4.34 | £4.34 | £4.28 | £4.28 | 1 164 362 |
Sep 02, 2016 | £4.30 | £4.60 | £4.16 | £4.20 | 5 592 246 |
Sep 01, 2016 | £4.20 | £4.22 | £4.09 | £4.15 | 1 534 295 |
Aug 31, 2016 | £4.14 | £4.25 | £4.07 | £4.20 | 3 583 834 |
Aug 30, 2016 | £4.30 | £4.30 | £4.20 | £4.22 | 266 907 |
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 OXB.L stock historical prices to predict future price movements?
Trend Analysis: Examine the OXB.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 OXB.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.