XLON:RPC
Delisted
ROBERTS PHARMACEUTICAL CORP Stock Price (Quote)
£792.40
+0 (+0%)
At Close: Sep 17, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £792.40 | £792.40 | Tuesday, 17th Sep 2019 RPC.L stock ended at £792.40. During the day the stock fluctuated 0% from a day low at £792.40 to a day high of £792.40. |
90 days | £7.91 | £792.40 | |
52 weeks | £6.25 | £796.00 |
Date | Open | High | Low | Close | Volume |
Dec 04, 2018 | £6.74 | £6.80 | £6.54 | £6.69 | 1 372 623 |
Dec 03, 2018 | £7.22 | £7.22 | £6.64 | £6.70 | 2 462 059 |
Nov 30, 2018 | £7.19 | £7.24 | £7.03 | £7.17 | 1 363 739 |
Nov 29, 2018 | £7.47 | £7.47 | £6.98 | £7.20 | 3 208 170 |
Nov 28, 2018 | £7.31 | £7.68 | £7.30 | £7.45 | 1 626 047 |
Nov 27, 2018 | £7.59 | £7.59 | £7.42 | £7.52 | 1 931 260 |
Nov 26, 2018 | £7.57 | £7.68 | £7.53 | £7.56 | 1 136 974 |
Nov 23, 2018 | £7.61 | £7.68 | £7.55 | £7.60 | 675 602 |
Nov 22, 2018 | £778.00 | £779.00 | £762.60 | £763.40 | 1 407 461 |
Nov 21, 2018 | £7.88 | £7.97 | £7.70 | £7.74 | 1 014 578 |
Nov 20, 2018 | £7.88 | £7.91 | £7.71 | £7.79 | 905 177 |
Nov 19, 2018 | £7.91 | £7.98 | £7.87 | £7.94 | 1 058 460 |
Nov 16, 2018 | £8.16 | £8.16 | £7.86 | £7.89 | 1 369 226 |
Nov 15, 2018 | £8.13 | £8.27 | £8.00 | £8.06 | 1 198 165 |
Nov 14, 2018 | £8.08 | £8.35 | £8.04 | £8.13 | 2 331 677 |
Nov 13, 2018 | £8.02 | £8.26 | £7.99 | £8.12 | 751 621 |
Nov 12, 2018 | £8.24 | £8.26 | £7.96 | £7.96 | 968 506 |
Nov 09, 2018 | £8.28 | £8.29 | £8.09 | £8.12 | 1 260 832 |
Nov 08, 2018 | £8.25 | £8.30 | £8.17 | £8.28 | 1 086 097 |
Nov 07, 2018 | £8.17 | £8.25 | £8.10 | £8.21 | 1 123 607 |
Nov 06, 2018 | £8.03 | £8.22 | £7.98 | £8.17 | 1 595 317 |
Nov 05, 2018 | £7.79 | £8.02 | £7.72 | £7.97 | 1 940 947 |
Nov 02, 2018 | £7.81 | £8.08 | £7.77 | £7.82 | 2 740 241 |
Nov 01, 2018 | £7.63 | £7.73 | £7.54 | £7.73 | 1 431 585 |
Oct 31, 2018 | £7.55 | £7.72 | £7.49 | £7.63 | 1 416 374 |
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 RPC.L stock historical prices to predict future price movements?
Trend Analysis: Examine the RPC.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 RPC.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.