XLON:DIVI
ADVISORSHARES ATHENA HIGH DIVIDEND ETF Stock Price (Quote)
£86.20
+0 (+0%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £86.00 | £90.40 | Friday, 14th Jun 2024 DIVI.L stock ended at £86.20. During the day the stock fluctuated 0% from a day low at £86.20 to a day high of £86.20. |
90 days | £83.00 | £90.40 | |
52 weeks | £74.60 | £90.40 |
Historical ADVISORSHARES ATHENA HIGH DIVIDEND ETF prices
Date | Open | High | Low | Close | Volume |
Dec 28, 2016 | £92.00 | £92.75 | £92.00 | £92.75 | 66 384 |
Dec 23, 2016 | £93.50 | £93.50 | £93.50 | £93.50 | 0 |
Dec 22, 2016 | £94.50 | £94.50 | £93.00 | £93.00 | 169 939 |
Dec 21, 2016 | £94.50 | £95.00 | £92.50 | £93.00 | 223 767 |
Dec 20, 2016 | £93.50 | £93.50 | £92.00 | £92.75 | 155 634 |
Dec 19, 2016 | £93.00 | £94.00 | £92.25 | £93.50 | 187 325 |
Dec 16, 2016 | £92.25 | £92.25 | £92.25 | £92.25 | 104 773 |
Dec 15, 2016 | £94.00 | £95.00 | £92.75 | £93.38 | 214 171 |
Dec 14, 2016 | £92.00 | £93.25 | £91.75 | £91.75 | 244 216 |
Dec 13, 2016 | £93.75 | £93.75 | £92.00 | £92.50 | 95 664 |
Dec 12, 2016 | £91.50 | £94.00 | £91.50 | £93.50 | 328 975 |
Dec 09, 2016 | £92.00 | £94.25 | £91.00 | £94.25 | 190 621 |
Dec 08, 2016 | £92.00 | £94.00 | £92.00 | £92.75 | 128 690 |
Dec 07, 2016 | £93.50 | £94.50 | £91.75 | £94.50 | 249 590 |
Dec 06, 2016 | £90.00 | £92.75 | £90.00 | £90.75 | 156 194 |
Dec 05, 2016 | £89.50 | £91.50 | £89.50 | £91.50 | 293 246 |
Dec 02, 2016 | £88.50 | £90.50 | £88.50 | £90.50 | 258 435 |
Dec 01, 2016 | £91.00 | £91.00 | £89.00 | £91.00 | 232 672 |
Nov 30, 2016 | £91.00 | £92.00 | £91.00 | £92.00 | 110 585 |
Nov 29, 2016 | £91.50 | £91.50 | £89.00 | £90.75 | 172 932 |
Nov 28, 2016 | £91.75 | £91.75 | £89.75 | £91.25 | 211 441 |
Nov 25, 2016 | £90.00 | £90.00 | £89.50 | £89.75 | 158 847 |
Nov 24, 2016 | £90.25 | £92.50 | £90.25 | £90.25 | 202 738 |
Nov 23, 2016 | £89.50 | £92.50 | £89.25 | £90.00 | 283 385 |
Nov 22, 2016 | £91.25 | £92.00 | £89.25 | £92.00 | 214 370 |
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 DIVI.L stock historical prices to predict future price movements?
Trend Analysis: Examine the DIVI.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 DIVI.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.