XLON:TERN
Tern Plc Stock Price (Quote)
£3.30
+0 (+0%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £2.50 | £4.74 | Thursday, 23rd May 2024 TERN.L stock ended at £3.30. During the day the stock fluctuated 6.25% from a day low at £3.20 to a day high of £3.40. |
90 days | £1.60 | £4.74 | |
52 weeks | £1.60 | £11.00 |
Date | Open | High | Low | Close | Volume |
Aug 08, 2023 | £6.75 | £7.00 | £5.50 | £5.75 | 16 631 329 |
Aug 07, 2023 | £7.75 | £9.00 | £6.00 | £6.54 | 22 990 266 |
Aug 04, 2023 | £3.75 | £11.00 | £3.80 | £8.50 | 56 828 805 |
Aug 03, 2023 | £3.50 | £4.17 | £3.51 | £3.75 | 1 924 033 |
Aug 02, 2023 | £3.75 | £4.00 | £3.50 | £3.50 | 627 016 |
Aug 01, 2023 | £3.75 | £4.00 | £3.56 | £3.75 | 569 707 |
Jul 31, 2023 | £3.75 | £4.00 | £3.50 | £3.75 | 526 765 |
Jul 28, 2023 | £3.75 | £3.84 | £3.57 | £3.75 | 689 927 |
Jul 27, 2023 | £3.75 | £4.00 | £3.55 | £3.75 | 549 823 |
Jul 26, 2023 | £3.75 | £4.12 | £3.43 | £3.75 | 982 150 |
Jul 25, 2023 | £3.80 | £4.10 | £3.75 | £3.75 | 373 741 |
Jul 24, 2023 | £4.23 | £4.23 | £3.88 | £3.88 | 326 915 |
Jul 21, 2023 | £4.00 | £4.22 | £3.50 | £4.22 | 890 594 |
Jul 20, 2023 | £4.00 | £4.14 | £3.75 | £4.00 | 455 591 |
Jul 19, 2023 | £3.83 | £4.18 | £3.72 | £4.00 | 821 537 |
Jul 18, 2023 | £3.92 | £4.12 | £3.75 | £4.00 | 302 304 |
Jul 17, 2023 | £4.18 | £4.37 | £3.99 | £4.00 | 995 120 |
Jul 14, 2023 | £4.39 | £4.50 | £4.07 | £4.25 | 759 744 |
Jul 13, 2023 | £4.31 | £4.44 | £4.00 | £4.00 | 975 530 |
Jul 12, 2023 | £4.14 | £4.44 | £3.95 | £4.38 | 967 529 |
Jul 11, 2023 | £3.89 | £4.15 | £3.89 | £4.00 | 362 559 |
Jul 10, 2023 | £3.88 | £3.88 | £3.88 | £3.88 | 0 |
Jul 07, 2023 | £3.52 | £4.14 | £3.52 | £3.88 | 962 313 |
Jul 06, 2023 | £4.05 | £4.15 | £3.50 | £4.00 | 185 573 |
Jul 05, 2023 | £3.88 | £4.40 | £3.72 | £4.00 | 1 648 873 |
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 TERN.L stock historical prices to predict future price movements?
Trend Analysis: Examine the TERN.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 TERN.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.