XLON:ESG
Delisted
FLEXSHARES STOXX US ESG IMPACT INDEX Fund Price (Quote)
£0.0545
+0 (+0%)
At Close: Sep 18, 2019
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | £0.0545 | £0.0545 | Wednesday, 18th Sep 2019 ESG.L stock ended at £0.0545. During the day the stock fluctuated 0% from a day low at £0.0545 to a day high of £0.0545. |
| 90 days | £0.0473 | £0.0585 | |
| 52 weeks | £0.0435 | £7.75 |
| Date | Open | High | Low | Close | Volume |
| Mar 08, 2016 | £3.00 | £3.25 | £3.00 | £3.25 | 810 000 |
| Mar 07, 2016 | £3.00 | £3.00 | £3.00 | £3.00 | 248 378 |
| Mar 04, 2016 | £3.00 | £3.13 | £3.00 | £3.00 | 248 577 |
| Mar 03, 2016 | £3.00 | £3.00 | £3.00 | £3.00 | 9 447 |
| Mar 02, 2016 | £3.00 | £3.00 | £3.00 | £3.00 | 0 |
| Mar 01, 2016 | £2.88 | £3.00 | £2.88 | £3.00 | 128 764 |
| Feb 29, 2016 | £3.38 | £3.38 | £2.88 | £2.88 | 232 380 |
| Feb 26, 2016 | £3.50 | £3.50 | £3.38 | £3.38 | 598 975 |
| Feb 25, 2016 | £3.50 | £3.50 | £3.50 | £3.50 | 371 411 |
| Feb 24, 2016 | £2.88 | £3.75 | £2.88 | £3.50 | 4 558 925 |
| Feb 23, 2016 | £2.63 | £2.88 | £2.63 | £2.88 | 14 221 567 |
| Feb 22, 2016 | £2.38 | £2.63 | £2.38 | £2.63 | 1 499 600 |
| Feb 19, 2016 | £2.00 | £2.63 | £2.00 | £2.38 | 15 363 280 |
| Feb 18, 2016 | £2.00 | £2.00 | £2.00 | £2.00 | 865 077 |
| Feb 17, 2016 | £2.00 | £2.00 | £2.00 | £2.00 | 451 214 |
| Feb 16, 2016 | £2.00 | £2.00 | £2.00 | £2.00 | 1 502 322 |
| Feb 15, 2016 | £2.00 | £2.00 | £2.00 | £2.00 | 574 082 |
| Feb 12, 2016 | £2.13 | £2.13 | £1.88 | £2.00 | 3 460 420 |
| Feb 11, 2016 | £2.00 | £2.13 | £2.00 | £2.13 | 4 991 406 |
| Feb 10, 2016 | £2.00 | £2.00 | £2.00 | £2.00 | 157 500 |
| Feb 09, 2016 | £2.00 | £2.00 | £2.00 | £2.00 | 0 |
| Feb 08, 2016 | £2.00 | £2.00 | £2.00 | £2.00 | 1 028 000 |
| Feb 05, 2016 | £2.00 | £2.00 | £2.00 | £2.00 | 240 151 |
| Feb 04, 2016 | £2.00 | £2.00 | £2.00 | £2.00 | 21 405 |
| Feb 03, 2016 | £2.00 | £2.00 | £2.00 | £2.00 | 189 492 |
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 ESG.L stock historical prices to predict future price movements?
Trend Analysis: Examine the ESG.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 ESG.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.
