XLON:WSBN
Delisted
Wishbone Gold Plc Stock Price (Quote)
£0.0400
+0 (+0%)
At Close: Sep 02, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.0200 | £0.0500 | Wednesday, 2nd Sep 2020 WSBN.L stock ended at £0.0400. During the day the stock fluctuated 25.00% from a day low at £0.0400 to a day high of £0.0500. |
90 days | £0.0200 | £0.0500 | |
52 weeks | £0.0002 | £0.0500 |
Date | Open | High | Low | Close | Volume |
May 05, 2016 | £0.525 | £0.610 | £0.525 | £0.595 | 2 865 396 |
May 04, 2016 | £0.585 | £0.585 | £0.525 | £0.525 | 2 931 026 |
May 03, 2016 | £0.490 | £0.575 | £0.490 | £0.575 | 8 410 055 |
Apr 29, 2016 | £0.510 | £0.510 | £0.475 | £0.490 | 4 832 132 |
Apr 28, 2016 | £0.525 | £0.570 | £0.510 | £0.510 | 10 416 679 |
Apr 27, 2016 | £0.440 | £0.550 | £0.440 | £0.525 | 31 508 383 |
Apr 26, 2016 | £0.400 | £0.475 | £0.400 | £0.440 | 19 496 315 |
Apr 25, 2016 | £0.335 | £0.415 | £0.335 | £0.400 | 12 057 319 |
Apr 22, 2016 | £0.385 | £0.385 | £0.335 | £0.335 | 6 423 743 |
Apr 21, 2016 | £0.400 | £0.400 | £0.385 | £0.385 | 3 491 738 |
Apr 20, 2016 | £0.410 | £0.435 | £0.390 | £0.400 | 12 428 572 |
Apr 19, 2016 | £0.290 | £0.405 | £0.290 | £0.380 | 25 837 456 |
Apr 18, 2016 | £0.275 | £0.290 | £0.275 | £0.290 | 3 354 005 |
Apr 15, 2016 | £0.275 | £0.275 | £0.275 | £0.275 | 490 995 |
Apr 14, 2016 | £0.275 | £0.285 | £0.275 | £0.275 | 1 249 215 |
Apr 13, 2016 | £0.275 | £0.275 | £0.275 | £0.275 | 0 |
Apr 12, 2016 | £0.275 | £0.275 | £0.275 | £0.275 | 514 809 |
Apr 11, 2016 | £0.275 | £0.275 | £0.275 | £0.275 | 0 |
Apr 08, 2016 | £0.275 | £0.275 | £0.275 | £0.275 | 963 561 |
Apr 07, 2016 | £0.300 | £0.300 | £0.275 | £0.275 | 3 472 834 |
Apr 06, 2016 | £0.300 | £0.300 | £0.300 | £0.300 | 663 686 |
Apr 05, 2016 | £0.275 | £0.300 | £0.275 | £0.300 | 2 275 476 |
Apr 04, 2016 | £0.300 | £0.300 | £0.275 | £0.275 | 610 358 |
Apr 01, 2016 | £0.245 | £0.300 | £0.245 | £0.300 | 2 461 879 |
Mar 31, 2016 | £0.245 | £0.245 | £0.245 | £0.245 | 600 000 |
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 WSBN.L stock historical prices to predict future price movements?
Trend Analysis: Examine the WSBN.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 WSBN.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.