XLON:BCA
Delisted
CorpBanca Stock Price (Quote)
£2.36
+0 (+0%)
At Close: Nov 20, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £2.35 | £2.36 | Wednesday, 20th Nov 2019 BCA.L stock ended at £2.36. During the day the stock fluctuated 0% from a day low at £2.36 to a day high of £2.36. |
90 days | £2.34 | £2.42 | |
52 weeks | £1.77 | £229.00 |
Date | Open | High | Low | Close | Volume |
Apr 23, 2019 | £2.13 | £2.13 | £2.09 | £2.11 | 652 938 |
Apr 22, 2019 | £2.12 | £2.12 | £2.12 | £2.12 | 0 |
Apr 18, 2019 | £2.10 | £2.13 | £2.10 | £2.12 | 484 337 |
Apr 17, 2019 | £2.11 | £2.14 | £2.11 | £2.12 | 845 288 |
Apr 16, 2019 | £2.11 | £2.13 | £2.10 | £2.13 | 334 016 |
Apr 15, 2019 | £2.10 | £2.13 | £2.09 | £2.11 | 650 327 |
Apr 12, 2019 | £2.11 | £2.11 | £2.08 | £2.09 | 258 023 |
Apr 11, 2019 | £2.07 | £2.12 | £2.06 | £2.09 | 429 458 |
Apr 10, 2019 | £2.06 | £2.07 | £2.05 | £2.06 | 352 199 |
Apr 09, 2019 | £2.06 | £2.08 | £2.04 | £2.06 | 585 798 |
Apr 08, 2019 | £2.08 | £2.08 | £2.04 | £2.06 | 681 934 |
Apr 05, 2019 | £2.04 | £2.10 | £2.03 | £2.06 | 1 231 604 |
Apr 04, 2019 | £2.06 | £2.09 | £2.04 | £2.05 | 3 304 118 |
Apr 03, 2019 | £2.05 | £2.06 | £2.02 | £2.06 | 801 908 |
Apr 02, 2019 | £2.03 | £2.04 | £1.96 | £2.03 | 845 716 |
Apr 01, 2019 | £1.98 | £2.03 | £1.98 | £2.02 | 1 767 183 |
Mar 29, 2019 | £1.96 | £2.00 | £1.93 | £1.98 | 1 228 165 |
Mar 28, 2019 | £1.93 | £1.98 | £1.92 | £1.94 | 1 224 042 |
Mar 27, 2019 | £1.97 | £1.97 | £1.93 | £1.95 | 655 086 |
Mar 26, 2019 | £1.95 | £1.99 | £1.92 | £1.95 | 861 020 |
Mar 25, 2019 | £1.95 | £1.97 | £1.92 | £1.94 | 1 116 416 |
Mar 22, 2019 | £2.04 | £2.05 | £1.95 | £1.96 | 1 736 546 |
Mar 21, 2019 | £2.03 | £2.04 | £2.00 | £2.03 | 1 174 798 |
Mar 20, 2019 | £2.08 | £2.08 | £2.02 | £2.03 | 982 560 |
Mar 19, 2019 | £2.07 | £2.10 | £2.06 | £2.08 | 799 732 |
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 BCA.L stock historical prices to predict future price movements?
Trend Analysis: Examine the BCA.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 BCA.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.