XLON:TERN
Tern Plc Stock Price (Quote)
£3.70
-0.250 (-6.33%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £2.50 | £4.74 | Friday, 17th May 2024 TERN.L stock ended at £3.70. This is 6.33% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 11.52% from a day low at £3.62 to a day high of £4.04. |
90 days | £1.60 | £4.74 | |
52 weeks | £1.60 | £11.00 |
Date | Open | High | Low | Close | Volume |
Apr 11, 2024 | £3.32 | £3.70 | £3.30 | £3.45 | 3 963 641 |
Apr 10, 2024 | £3.60 | £3.63 | £3.10 | £3.35 | 3 365 516 |
Apr 09, 2024 | £3.19 | £3.85 | £3.00 | £3.60 | 8 986 924 |
Apr 08, 2024 | £2.88 | £3.20 | £2.80 | £3.10 | 8 430 698 |
Apr 05, 2024 | £2.36 | £3.00 | £2.30 | £2.85 | 3 186 749 |
Apr 04, 2024 | £2.26 | £2.44 | £2.10 | £2.35 | 1 880 506 |
Apr 03, 2024 | £2.50 | £2.60 | £2.10 | £2.20 | 3 288 344 |
Apr 02, 2024 | £2.20 | £2.20 | £2.20 | £2.20 | 0 |
Mar 28, 2024 | £2.20 | £2.20 | £2.20 | £2.20 | 0 |
Mar 27, 2024 | £1.68 | £2.28 | £1.68 | £2.20 | 4 394 983 |
Mar 26, 2024 | £1.77 | £1.80 | £1.68 | £1.80 | 579 807 |
Mar 25, 2024 | £1.73 | £1.74 | £1.60 | £1.70 | 1 756 684 |
Mar 22, 2024 | £1.71 | £1.80 | £1.67 | £1.71 | 1 015 209 |
Mar 21, 2024 | £1.77 | £1.78 | £1.71 | £1.73 | 381 484 |
Mar 20, 2024 | £1.73 | £1.73 | £1.73 | £1.73 | 380 813 |
Mar 19, 2024 | £1.79 | £1.79 | £1.73 | £1.75 | 731 670 |
Mar 18, 2024 | £1.84 | £1.85 | £1.73 | £1.75 | 528 437 |
Mar 15, 2024 | £1.80 | £1.90 | £1.70 | £1.76 | 813 686 |
Mar 14, 2024 | £1.78 | £1.80 | £1.74 | £1.75 | 1 671 274 |
Mar 13, 2024 | £1.79 | £1.80 | £1.71 | £1.80 | 176 603 |
Mar 12, 2024 | £1.73 | £1.79 | £1.71 | £1.75 | 1 012 570 |
Mar 11, 2024 | £1.75 | £1.86 | £1.70 | £1.75 | 136 000 |
Mar 08, 2024 | £1.88 | £1.88 | £1.70 | £1.80 | 1 024 400 |
Mar 07, 2024 | £1.80 | £1.80 | £1.80 | £1.80 | 0 |
Mar 06, 2024 | £1.89 | £1.89 | £1.70 | £1.80 | 500 927 |
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.