XLON:CCFS
Delisted
Charter Court Financial Services Group Stock Price (Quote)
£2.95
+0 (+0%)
At Close: Oct 17, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £2.81 | £3.16 | Thursday, 17th Oct 2019 CCFS.L stock ended at £2.95. During the day the stock fluctuated 0% from a day low at £2.95 to a day high of £2.95. |
90 days | £2.55 | £3.19 | |
52 weeks | £2.28 | £293.60 |
Historical Charter Court Financial Services Group plc prices
Date | Open | High | Low | Close | Volume |
Dec 11, 2017 | £2.60 | £2.60 | £2.53 | £2.57 | 204 825 |
Dec 08, 2017 | £2.62 | £2.62 | £2.57 | £2.60 | 291 142 |
Dec 07, 2017 | £2.61 | £2.63 | £2.55 | £2.57 | 261 907 |
Dec 06, 2017 | £2.57 | £2.65 | £2.53 | £2.61 | 403 231 |
Dec 05, 2017 | £2.55 | £2.64 | £2.53 | £2.62 | 402 898 |
Dec 04, 2017 | £2.51 | £2.57 | £2.49 | £2.57 | 659 154 |
Dec 01, 2017 | £2.41 | £2.53 | £2.41 | £2.49 | 460 775 |
Nov 30, 2017 | £2.42 | £2.44 | £2.39 | £2.42 | 506 005 |
Nov 29, 2017 | £2.36 | £2.40 | £2.36 | £2.38 | 385 553 |
Nov 28, 2017 | £2.35 | £2.40 | £2.35 | £2.37 | 531 909 |
Nov 27, 2017 | £2.33 | £2.42 | £2.33 | £2.38 | 488 886 |
Nov 24, 2017 | £2.35 | £2.40 | £2.30 | £2.35 | 182 508 |
Nov 23, 2017 | £232.25 | £236.50 | £231.00 | £235.00 | 166 735 |
Nov 22, 2017 | £2.35 | £2.37 | £2.31 | £2.35 | 351 242 |
Nov 21, 2017 | £2.30 | £2.38 | £2.30 | £2.36 | 63 283 |
Nov 20, 2017 | £2.34 | £2.36 | £2.34 | £2.36 | 48 975 |
Nov 17, 2017 | £2.35 | £2.38 | £2.35 | £2.36 | 216 840 |
Nov 16, 2017 | £2.37 | £2.38 | £2.35 | £2.35 | 51 777 |
Nov 15, 2017 | £2.43 | £2.43 | £2.35 | £2.35 | 172 357 |
Nov 14, 2017 | £2.36 | £2.39 | £2.36 | £2.36 | 126 694 |
Nov 13, 2017 | £2.40 | £2.43 | £2.35 | £2.38 | 586 407 |
Nov 10, 2017 | £2.38 | £2.40 | £2.37 | £2.39 | 144 420 |
Nov 09, 2017 | £2.35 | £2.40 | £2.34 | £2.39 | 233 851 |
Nov 08, 2017 | £2.37 | £2.40 | £2.35 | £2.38 | 303 840 |
Nov 07, 2017 | £2.33 | £2.35 | £2.32 | £2.33 | 159 670 |
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 CCFS.L stock historical prices to predict future price movements?
Trend Analysis: Examine the CCFS.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 CCFS.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.