XLON:ECK
Eckoh Plc Stock Price (Quote)
£37.00
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £36.00 | £44.90 | Friday, 17th May 2024 ECK.L stock ended at £37.00. During the day the stock fluctuated 5.56% from a day low at £36.00 to a day high of £38.00. |
90 days | £35.30 | £44.90 | |
52 weeks | £32.05 | £46.70 |
Date | Open | High | Low | Close | Volume |
Dec 21, 2023 | £35.50 | £35.50 | £35.50 | £35.50 | 0 |
Dec 20, 2023 | £33.98 | £35.88 | £32.31 | £35.50 | 422 069 |
Dec 19, 2023 | £34.50 | £34.95 | £32.05 | £34.00 | 328 581 |
Dec 18, 2023 | £35.00 | £37.00 | £34.00 | £35.00 | 820 622 |
Dec 15, 2023 | £35.00 | £35.78 | £34.46 | £35.00 | 231 095 |
Dec 14, 2023 | £35.00 | £35.40 | £34.39 | £35.00 | 23 511 |
Dec 13, 2023 | £34.36 | £35.00 | £34.36 | £35.00 | 73 301 |
Dec 12, 2023 | £34.99 | £35.20 | £34.00 | £35.00 | 166 584 |
Dec 11, 2023 | £36.50 | £36.70 | £34.00 | £34.00 | 240 064 |
Dec 08, 2023 | £37.74 | £39.00 | £36.00 | £36.50 | 197 003 |
Dec 07, 2023 | £37.04 | £38.00 | £37.04 | £38.00 | 14 612 |
Dec 06, 2023 | £38.00 | £38.00 | £37.00 | £38.00 | 86 102 |
Dec 05, 2023 | £38.42 | £39.19 | £38.00 | £38.50 | 424 089 |
Dec 04, 2023 | £37.00 | £40.00 | £37.00 | £39.00 | 387 497 |
Dec 01, 2023 | £36.40 | £37.00 | £35.00 | £36.50 | 306 633 |
Nov 30, 2023 | £36.40 | £37.00 | £35.38 | £36.00 | 227 295 |
Nov 29, 2023 | £37.00 | £37.00 | £35.05 | £36.00 | 770 959 |
Nov 28, 2023 | £36.40 | £37.00 | £35.00 | £36.00 | 506 462 |
Nov 27, 2023 | £37.00 | £37.00 | £35.00 | £36.00 | 402 808 |
Nov 24, 2023 | £35.40 | £36.96 | £34.13 | £36.00 | 4 027 989 |
Nov 23, 2023 | £36.00 | £38.00 | £35.00 | £35.50 | 151 780 |
Nov 22, 2023 | £36.20 | £37.75 | £35.10 | £37.00 | 555 196 |
Nov 21, 2023 | £35.00 | £38.00 | £34.00 | £37.00 | 938 894 |
Nov 20, 2023 | £38.00 | £38.00 | £36.30 | £38.00 | 172 171 |
Nov 17, 2023 | £39.21 | £42.00 | £38.00 | £39.00 | 129 722 |
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 ECK.L stock historical prices to predict future price movements?
Trend Analysis: Examine the ECK.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 ECK.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.