XLON:TEK
TEKTRONIX INC Stock Price (Quote)
£11.00
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £7.50 | £12.50 | Thursday, 30th May 2024 TEK.L stock ended at £11.00. During the day the stock fluctuated 0% from a day low at £11.00 to a day high of £11.00. |
90 days | £7.50 | £12.50 | |
52 weeks | £6.00 | £18.00 |
Historical TEKTRONIX INC prices
Date | Open | High | Low | Close | Volume |
Apr 26, 2023 | £15.32 | £15.75 | £15.00 | £15.38 | 539 458 |
Apr 25, 2023 | £15.23 | £15.50 | £15.00 | £15.38 | 396 717 |
Apr 24, 2023 | £15.38 | £15.38 | £15.38 | £15.38 | 0 |
Apr 21, 2023 | £15.87 | £15.88 | £15.11 | £15.38 | 1 308 832 |
Apr 20, 2023 | £15.66 | £16.00 | £15.53 | £15.75 | 315 465 |
Apr 19, 2023 | £16.07 | £16.25 | £15.77 | £15.75 | 291 421 |
Apr 18, 2023 | £16.25 | £16.50 | £15.80 | £16.03 | 1 501 333 |
Apr 17, 2023 | £15.50 | £16.00 | £15.00 | £15.75 | 3 905 307 |
Apr 14, 2023 | £17.75 | £18.50 | £17.22 | £17.50 | 2 077 116 |
Apr 13, 2023 | £17.30 | £18.50 | £17.30 | £17.75 | 2 335 095 |
Apr 12, 2023 | £16.95 | £19.00 | £16.70 | £17.25 | 2 520 817 |
Apr 11, 2023 | £15.59 | £17.37 | £15.41 | £16.50 | 6 984 406 |
Apr 06, 2023 | £15.65 | £16.00 | £15.00 | £15.50 | 1 066 087 |
Apr 05, 2023 | £15.34 | £16.00 | £15.00 | £15.50 | 643 008 |
Apr 04, 2023 | £15.64 | £15.64 | £15.00 | £15.25 | 370 707 |
Apr 03, 2023 | £15.33 | £16.00 | £15.00 | £15.50 | 726 275 |
Mar 31, 2023 | £14.65 | £15.75 | £14.65 | £15.25 | 1 345 429 |
Mar 30, 2023 | £14.75 | £15.50 | £14.50 | £15.00 | 914 598 |
Mar 29, 2023 | £14.75 | £14.75 | £14.75 | £14.75 | 0 |
Mar 28, 2023 | £15.11 | £15.25 | £14.15 | £14.75 | 503 151 |
Mar 27, 2023 | £15.31 | £15.31 | £15.00 | £15.13 | 415 955 |
Mar 24, 2023 | £15.45 | £15.50 | £15.25 | £15.25 | 163 191 |
Mar 23, 2023 | £14.96 | £15.39 | £14.50 | £15.25 | 921 938 |
Mar 22, 2023 | £15.72 | £15.72 | £14.80 | £15.00 | 736 626 |
Mar 21, 2023 | £15.00 | £15.50 | £15.00 | £15.50 | 21 641 |
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 TEK.L stock historical prices to predict future price movements?
Trend Analysis: Examine the TEK.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 TEK.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.