XLON:EQT
EQTEC plc Stock Price (Quote)
£1.18
+0 (+0%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.00 | £2.07 | Friday, 14th Jun 2024 EQT.L stock ended at £1.18. During the day the stock fluctuated 0% from a day low at £1.18 to a day high of £1.18. |
90 days | £1.00 | £2.64 | |
52 weeks | £0.0200 | £4.80 |
Historical EQTEC plc prices
Date | Open | High | Low | Close | Volume |
May 24, 2017 | £4.00 | £4.00 | £3.63 | £3.63 | 1 279 080 |
May 23, 2017 | £4.00 | £4.00 | £4.00 | £4.00 | 340 995 |
May 22, 2017 | £4.00 | £4.00 | £3.88 | £4.00 | 623 256 |
May 19, 2017 | £4.38 | £4.38 | £4.00 | £4.00 | 1 757 522 |
May 18, 2017 | £4.38 | £4.38 | £4.38 | £4.38 | 425 147 |
May 17, 2017 | £4.50 | £4.50 | £4.13 | £4.38 | 2 295 340 |
May 16, 2017 | £4.88 | £4.88 | £4.38 | £4.38 | 1 076 188 |
May 15, 2017 | £5.00 | £5.00 | £4.88 | £4.88 | 887 770 |
May 12, 2017 | £4.75 | £5.13 | £4.75 | £5.00 | 1 028 789 |
May 11, 2017 | £4.88 | £4.88 | £4.75 | £4.75 | 370 614 |
May 10, 2017 | £4.88 | £4.88 | £4.88 | £4.88 | 234 029 |
May 09, 2017 | £4.63 | £4.88 | £4.63 | £4.88 | 705 776 |
May 08, 2017 | £4.63 | £4.63 | £4.50 | £4.50 | 834 673 |
May 05, 2017 | £5.00 | £5.00 | £4.25 | £4.75 | 1 875 195 |
May 04, 2017 | £5.88 | £6.00 | £4.75 | £5.00 | 4 957 025 |
May 03, 2017 | £4.13 | £6.00 | £4.13 | £5.75 | 12 294 303 |
May 02, 2017 | £4.00 | £4.13 | £4.00 | £4.13 | 439 919 |
May 01, 2017 | £4.00 | £4.00 | £4.00 | £4.00 | 0 |
Apr 28, 2017 | £4.00 | £4.00 | £4.00 | £4.00 | 443 153 |
Apr 27, 2017 | £4.00 | £4.00 | £4.00 | £4.00 | 953 952 |
Apr 26, 2017 | £3.75 | £4.25 | £3.75 | £4.00 | 1 749 150 |
Apr 25, 2017 | £3.88 | £4.13 | £3.50 | £3.75 | 1 641 631 |
Apr 24, 2017 | £3.88 | £3.88 | £3.88 | £3.88 | 214 168 |
Apr 21, 2017 | £3.50 | £4.13 | £3.50 | £3.88 | 829 353 |
Apr 20, 2017 | £4.00 | £4.00 | £3.50 | £3.50 | 1 322 568 |
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 EQT.L stock historical prices to predict future price movements?
Trend Analysis: Examine the EQT.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 EQT.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.