XLON:SEQI
Sequoia Economic Infrastructure Income Stock Price (Quote)
£77.50
-1.50 (-1.90%)
At Close: Jun 14, 2024
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | £76.60 | £83.30 | Friday, 14th Jun 2024 SEQI.L stock ended at £77.50. This is 1.90% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 2.07% from a day low at £77.40 to a day high of £79.00. |
| 90 days | £72.80 | £84.10 | |
| 52 weeks | £71.00 | £88.30 |
Historical Sequoia Economic Infrastructure Income Fund Limited prices
| Date | Open | High | Low | Close | Volume |
| Apr 13, 2017 | £113.25 | £113.25 | £113.00 | £113.00 | 123 485 |
| Apr 12, 2017 | £112.50 | £113.00 | £112.00 | £113.00 | 270 899 |
| Apr 11, 2017 | £112.25 | £112.50 | £111.75 | £112.00 | 281 857 |
| Apr 10, 2017 | £112.00 | £112.25 | £111.00 | £112.00 | 302 807 |
| Apr 07, 2017 | £111.50 | £111.50 | £111.00 | £111.00 | 129 334 |
| Apr 06, 2017 | £110.00 | £111.50 | £110.00 | £111.00 | 339 709 |
| Apr 05, 2017 | £109.75 | £111.50 | £109.75 | £110.50 | 288 028 |
| Apr 04, 2017 | £110.00 | £111.00 | £110.00 | £110.75 | 250 749 |
| Apr 03, 2017 | £109.75 | £110.25 | £109.50 | £110.00 | 341 533 |
| Mar 31, 2017 | £109.75 | £110.25 | £109.25 | £110.25 | 298 836 |
| Mar 30, 2017 | £109.75 | £109.75 | £109.25 | £109.50 | 392 391 |
| Mar 29, 2017 | £110.25 | £110.50 | £109.75 | £109.75 | 196 372 |
| Mar 28, 2017 | £110.00 | £110.25 | £109.75 | £110.25 | 176 749 |
| Mar 27, 2017 | £109.75 | £110.00 | £109.75 | £110.00 | 178 093 |
| Mar 24, 2017 | £110.00 | £110.13 | £109.50 | £110.00 | 256 632 |
| Mar 23, 2017 | £109.75 | £110.00 | £109.75 | £110.13 | 242 931 |
| Mar 22, 2017 | £109.00 | £111.00 | £109.00 | £109.50 | 400 998 |
| Mar 21, 2017 | £111.00 | £111.00 | £109.00 | £109.63 | 939 312 |
| Mar 20, 2017 | £110.25 | £110.25 | £109.75 | £110.00 | 377 656 |
| Mar 17, 2017 | £110.00 | £110.00 | £109.00 | £110.00 | 376 210 |
| Mar 16, 2017 | £109.75 | £109.75 | £109.50 | £110.00 | 170 029 |
| Mar 15, 2017 | £110.00 | £110.25 | £109.75 | £110.25 | 353 792 |
| Mar 14, 2017 | £110.00 | £110.50 | £109.75 | £110.00 | 397 288 |
| Mar 13, 2017 | £109.75 | £110.00 | £109.75 | £110.00 | 189 514 |
| Mar 10, 2017 | £110.50 | £110.50 | £109.75 | £110.00 | 90 068 |
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 SEQI.L stock historical prices to predict future price movements?
Trend Analysis: Examine the SEQI.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 SEQI.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.
