XLON:DCI
Delisted
Donaldson Company, Inc Stock Price (Quote)
£0.0300
+0 (+0%)
At Close: Sep 02, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.0300 | £0.0400 | Wednesday, 2nd Sep 2020 DCI.L stock ended at £0.0300. During the day the stock fluctuated 33.33% from a day low at £0.0300 to a day high of £0.0400. |
90 days | £0.0300 | £0.0400 | |
52 weeks | £0.0200 | £0.0505 |
Date | Open | High | Low | Close | Volume |
Dec 22, 2016 | £7.93 | £8.00 | £7.93 | £8.00 | 129 553 |
Dec 21, 2016 | £8.00 | £8.00 | £8.00 | £8.00 | 0 |
Dec 20, 2016 | £8.00 | £8.00 | £8.00 | £8.00 | 2 042 407 |
Dec 19, 2016 | £8.00 | £8.00 | £8.00 | £8.00 | 5 000 |
Dec 16, 2016 | £8.00 | £8.00 | £8.00 | £8.00 | 253 500 |
Dec 15, 2016 | £7.93 | £8.05 | £7.93 | £8.00 | 146 403 |
Dec 14, 2016 | £7.99 | £8.00 | £7.88 | £8.19 | 394 018 |
Dec 13, 2016 | £7.80 | £7.93 | £7.80 | £7.93 | 262 812 |
Dec 12, 2016 | £7.80 | £7.80 | £7.80 | £7.80 | 426 902 |
Dec 09, 2016 | £7.80 | £7.80 | £7.80 | £7.80 | 343 442 |
Dec 08, 2016 | £7.80 | £8.00 | £7.80 | £7.80 | 365 758 |
Dec 07, 2016 | £8.00 | £8.00 | £7.75 | £8.00 | 6 130 084 |
Dec 06, 2016 | £8.00 | £8.00 | £7.75 | £8.00 | 3 259 250 |
Dec 05, 2016 | £8.00 | £8.00 | £7.75 | £8.00 | 586 429 |
Dec 02, 2016 | £7.50 | £8.00 | £7.50 | £8.00 | 6 090 755 |
Dec 01, 2016 | £7.50 | £7.50 | £7.50 | £7.50 | 115 000 |
Nov 30, 2016 | £7.75 | £7.75 | £7.38 | £7.50 | 1 013 279 |
Nov 29, 2016 | £7.50 | £7.75 | £7.50 | £7.60 | 2 559 642 |
Nov 28, 2016 | £7.50 | £7.50 | £7.50 | £7.50 | 1 016 447 |
Nov 25, 2016 | £7.50 | £7.50 | £7.50 | £7.50 | 83 506 |
Nov 24, 2016 | £7.50 | £7.50 | £7.50 | £7.50 | 120 365 |
Nov 23, 2016 | £7.13 | £7.38 | £7.13 | £7.38 | 12 165 945 |
Nov 22, 2016 | £7.04 | £7.13 | £7.04 | £7.13 | 1 125 000 |
Nov 21, 2016 | £6.95 | £6.95 | £6.94 | £6.95 | 185 003 |
Nov 18, 2016 | £6.95 | £6.95 | £6.95 | £6.95 | 50 000 |
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 DCI.L stock historical prices to predict future price movements?
Trend Analysis: Examine the DCI.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 DCI.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.