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 |
Date | Open | High | Low | Close | Volume |
Jul 04, 2019 | £2.91 | £3.02 | £2.91 | £3.00 | 202 500 |
Jul 03, 2019 | £2.95 | £2.99 | £2.92 | £2.98 | 229 465 |
Jul 02, 2019 | £2.97 | £2.99 | £2.92 | £2.94 | 609 620 |
Jul 01, 2019 | £3.01 | £3.01 | £2.94 | £2.96 | 246 695 |
Jun 28, 2019 | £2.99 | £3.03 | £2.96 | £2.97 | 202 473 |
Jun 27, 2019 | £3.01 | £3.01 | £2.95 | £2.97 | 104 801 |
Jun 26, 2019 | £3.00 | £3.32 | £2.92 | £2.96 | 617 966 |
Jun 25, 2019 | £3.10 | £3.12 | £3.01 | £3.04 | 647 890 |
Jun 24, 2019 | £3.13 | £3.11 | £3.07 | £3.10 | 116 411 |
Jun 21, 2019 | £3.12 | £3.15 | £3.08 | £3.13 | 1 107 792 |
Jun 20, 2019 | £3.18 | £3.19 | £3.10 | £3.11 | 94 369 |
Jun 19, 2019 | £3.22 | £3.23 | £3.11 | £3.14 | 127 882 |
Jun 18, 2019 | £3.24 | £3.24 | £3.14 | £3.16 | 609 352 |
Jun 17, 2019 | £3.24 | £3.25 | £3.15 | £3.18 | 273 721 |
Jun 14, 2019 | £3.20 | £3.20 | £3.10 | £3.18 | 807 078 |
Jun 13, 2019 | £3.25 | £3.25 | £3.18 | £3.18 | 380 999 |
Jun 12, 2019 | £3.25 | £3.25 | £3.20 | £3.20 | 569 841 |
Jun 11, 2019 | £3.27 | £3.30 | £3.22 | £3.23 | 381 079 |
Jun 10, 2019 | £3.35 | £3.35 | £3.23 | £3.28 | 273 422 |
Jun 07, 2019 | £3.20 | £3.30 | £3.20 | £3.26 | 215 477 |
Jun 06, 2019 | £3.32 | £3.32 | £3.22 | £3.28 | 135 234 |
Jun 05, 2019 | £3.30 | £3.31 | £3.27 | £3.30 | 238 419 |
Jun 04, 2019 | £3.20 | £3.31 | £3.20 | £3.30 | 137 201 |
Jun 03, 2019 | £3.27 | £3.30 | £3.25 | £3.26 | 64 329 |
May 31, 2019 | £3.29 | £3.31 | £3.28 | £3.29 | 563 955 |
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.