XLON:STX
Seagate Technology PLC Stock Price (Quote)
£2.40
+0 (+0%)
At Close: May 29, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.23 | £2.50 | Wednesday, 29th May 2024 STX.L stock ended at £2.40. During the day the stock fluctuated 0% from a day low at £2.40 to a day high of £2.40. |
90 days | £1.06 | £2.70 | |
52 weeks | £1.06 | £12.85 |
Historical Seagate Technology PLC prices
Date | Open | High | Low | Close | Volume |
Feb 10, 2023 | £6.99 | £7.67 | £6.99 | £7.45 | 12 675 372 |
Feb 09, 2023 | £6.34 | £7.20 | £6.34 | £6.97 | 16 870 209 |
Feb 08, 2023 | £6.40 | £6.40 | £6.10 | £6.15 | 793 408 |
Feb 07, 2023 | £6.30 | £6.30 | £6.30 | £6.30 | 0 |
Feb 06, 2023 | £6.30 | £6.30 | £6.30 | £6.30 | 0 |
Feb 03, 2023 | £6.20 | £6.40 | £6.20 | £6.30 | 622 144 |
Feb 02, 2023 | £6.60 | £6.60 | £6.60 | £6.60 | 0 |
Feb 01, 2023 | £6.60 | £6.60 | £6.60 | £6.60 | 0 |
Jan 31, 2023 | £6.55 | £6.62 | £6.50 | £6.60 | 339 034 |
Jan 30, 2023 | £6.55 | £6.60 | £6.55 | £6.55 | 245 241 |
Jan 27, 2023 | £6.45 | £6.70 | £6.36 | £6.55 | 760 010 |
Jan 26, 2023 | £6.28 | £6.60 | £6.28 | £6.45 | 360 042 |
Jan 25, 2023 | £6.35 | £6.40 | £6.21 | £6.30 | 370 738 |
Jan 24, 2023 | £6.59 | £6.59 | £6.32 | £6.50 | 1 015 477 |
Jan 23, 2023 | £6.65 | £6.65 | £6.50 | £6.65 | 565 114 |
Jan 20, 2023 | £6.70 | £6.70 | £6.50 | £6.65 | 387 760 |
Jan 19, 2023 | £6.75 | £6.80 | £6.60 | £6.70 | 1 021 880 |
Jan 18, 2023 | £6.80 | £6.86 | £6.60 | £6.83 | 775 713 |
Jan 17, 2023 | £6.80 | £6.82 | £6.64 | £6.68 | 2 432 670 |
Jan 16, 2023 | £6.75 | £6.80 | £6.50 | £6.70 | 1 172 703 |
Jan 13, 2023 | £6.20 | £6.85 | £6.20 | £6.60 | 4 299 628 |
Jan 12, 2023 | £6.25 | £6.53 | £6.14 | £6.30 | 2 121 608 |
Jan 11, 2023 | £6.10 | £6.34 | £6.07 | £6.25 | 1 461 743 |
Jan 10, 2023 | £6.30 | £6.30 | £6.00 | £6.10 | 913 366 |
Jan 09, 2023 | £6.50 | £6.65 | £6.10 | £6.20 | 3 974 776 |
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 STX.L stock historical prices to predict future price movements?
Trend Analysis: Examine the STX.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 STX.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.