XLON:BTG
Delisted
B2Gold Corp Stock Price (Quote)
£8.40
+0 (+0%)
At Close: Sep 18, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £8.40 | £8.40 | Wednesday, 18th Sep 2019 BTG.L stock ended at £8.40. During the day the stock fluctuated 0% from a day low at £8.40 to a day high of £8.40. |
90 days | £8.33 | £8.42 | |
52 weeks | £5.13 | £832.00 |
Date | Open | High | Low | Close | Volume |
Jan 11, 2019 | £8.30 | £8.30 | £8.27 | £8.27 | 769 685 |
Jan 10, 2019 | £8.26 | £8.30 | £8.26 | £8.29 | 3 162 973 |
Jan 09, 2019 | £8.27 | £8.29 | £8.25 | £8.28 | 3 581 297 |
Jan 08, 2019 | £8.26 | £8.30 | £8.25 | £8.26 | 1 982 066 |
Jan 07, 2019 | £8.26 | £8.28 | £8.25 | £8.27 | 1 961 605 |
Jan 04, 2019 | £8.27 | £8.29 | £8.26 | £8.27 | 782 676 |
Jan 03, 2019 | £8.36 | £8.36 | £8.27 | £8.27 | 692 082 |
Jan 02, 2019 | £8.35 | £8.35 | £8.26 | £8.29 | 3 433 687 |
Dec 31, 2018 | £8.28 | £8.30 | £8.24 | £8.30 | 194 631 |
Dec 28, 2018 | £8.30 | £8.32 | £8.26 | £8.30 | 687 248 |
Dec 27, 2018 | £8.24 | £8.29 | £8.24 | £8.27 | 700 742 |
Dec 26, 2018 | £8.26 | £8.26 | £8.26 | £8.26 | 0 |
Dec 24, 2018 | £8.30 | £8.30 | £8.26 | £8.26 | 560 976 |
Dec 21, 2018 | £8.27 | £8.29 | £8.24 | £8.29 | 2 183 340 |
Dec 20, 2018 | £8.24 | £8.29 | £8.24 | £8.28 | 2 536 812 |
Dec 19, 2018 | £8.25 | £8.26 | £8.24 | £8.24 | 1 734 027 |
Dec 18, 2018 | £8.24 | £8.27 | £8.24 | £8.24 | 2 259 063 |
Dec 17, 2018 | £8.30 | £8.30 | £8.24 | £8.24 | 2 447 325 |
Dec 14, 2018 | £8.24 | £8.28 | £8.24 | £8.28 | 798 907 |
Dec 13, 2018 | £8.25 | £8.29 | £8.24 | £8.26 | 2 043 616 |
Dec 12, 2018 | £8.25 | £8.41 | £8.24 | £8.27 | 1 599 713 |
Dec 11, 2018 | £8.25 | £8.27 | £8.24 | £8.27 | 3 810 292 |
Dec 10, 2018 | £8.27 | £8.30 | £8.10 | £8.23 | 2 081 888 |
Dec 07, 2018 | £8.30 | £8.33 | £8.10 | £8.28 | 5 048 851 |
Dec 06, 2018 | £8.27 | £8.53 | £8.27 | £8.53 | 3 536 169 |
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 BTG.L stock historical prices to predict future price movements?
Trend Analysis: Examine the BTG.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 BTG.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.