XLON:KIBO
Delisted
kibo Mining Plc Stock Price (Quote)
£0.0028
+0.0003 (+12.00%)
At Close: Sep 01, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.0025 | £0.0028 | Tuesday, 1st Sep 2020 KIBO.L stock ended at £0.0028. This is 12.00% more than the trading day before Thursday, 20th Aug 2020. During the day the stock fluctuated 0% from a day low at £0.0028 to a day high of £0.0028. |
90 days | £0.0018 | £0.0028 | |
52 weeks | £0.0018 | £0.0087 |
Date | Open | High | Low | Close | Volume |
Dec 18, 2019 | £0.0040 | £0.0042 | £0.0035 | £0.0038 | 2 941 001 |
Dec 17, 2019 | £0.0040 | £0.0035 | £0.0035 | £0.0035 | 305 000 |
Dec 16, 2019 | £0.0040 | £0.0042 | £0.0037 | £0.0040 | 1 252 333 |
Dec 13, 2019 | £0.0040 | £0.0040 | £0.0040 | £0.0040 | 0 |
Dec 12, 2019 | £0.0040 | £0.0043 | £0.0037 | £0.0040 | 9 955 137 |
Dec 11, 2019 | £0.0043 | £0.0043 | £0.0043 | £0.0043 | 0 |
Dec 10, 2019 | £0.0043 | £0.0044 | £0.0040 | £0.0043 | 2 115 910 |
Dec 09, 2019 | £0.0043 | £0.0044 | £0.0038 | £0.0043 | 1 654 990 |
Dec 06, 2019 | £0.0045 | £0.0055 | £0.0043 | £0.0043 | 10 027 847 |
Dec 05, 2019 | £0.0040 | £0.0045 | £0.0041 | £0.0045 | 3 626 456 |
Dec 04, 2019 | £0.0040 | £0.0042 | £0.0039 | £0.0040 | 3 875 826 |
Dec 03, 2019 | £0.0037 | £0.0040 | £0.0037 | £0.0040 | 6 343 968 |
Dec 02, 2019 | £0.0041 | £0.0040 | £0.0036 | £0.0037 | 4 799 932 |
Nov 29, 2019 | £0.0041 | £0.0040 | £0.0040 | £0.0041 | 1 750 024 |
Nov 28, 2019 | £0.0041 | £0.0041 | £0.0041 | £0.0041 | 0 |
Nov 27, 2019 | £0.0041 | £0.0041 | £0.0041 | £0.0041 | 0 |
Nov 26, 2019 | £0.0041 | £0.0041 | £0.0040 | £0.0041 | 650 000 |
Nov 25, 2019 | £0.0041 | £0.0041 | £0.0040 | £0.0041 | 2 634 117 |
Nov 22, 2019 | £0.0041 | £0.0042 | £0.0042 | £0.0041 | 1 289 050 |
Nov 21, 2019 | £0.0041 | £0.0042 | £0.0040 | £0.0041 | 11 549 085 |
Nov 20, 2019 | £0.0041 | £0.0041 | £0.0040 | £0.0041 | 6 964 105 |
Nov 19, 2019 | £0.0041 | £0.0041 | £0.0040 | £0.0041 | 3 602 192 |
Nov 18, 2019 | £0.0041 | £0.0042 | £0.0040 | £0.0041 | 9 946 677 |
Nov 15, 2019 | £0.0041 | £0.0042 | £0.0039 | £0.0041 | 7 603 020 |
Nov 14, 2019 | £0.0041 | £0.0040 | £0.0039 | £0.0041 | 20 834 309 |
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 KIBO.L stock historical prices to predict future price movements?
Trend Analysis: Examine the KIBO.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 KIBO.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.