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 |
Feb 05, 2024 | £2.22 | £2.30 | £2.22 | £2.27 | 1 233 857 |
Feb 02, 2024 | £2.28 | £2.28 | £2.22 | £2.25 | 434 702 |
Feb 01, 2024 | £2.38 | £2.38 | £2.20 | £2.28 | 2 182 662 |
Jan 31, 2024 | £2.39 | £2.40 | £2.26 | £2.30 | 614 863 |
Jan 30, 2024 | £2.23 | £2.40 | £2.20 | £2.30 | 1 949 640 |
Jan 29, 2024 | £2.17 | £2.30 | £2.13 | £2.20 | 5 573 753 |
Jan 26, 2024 | £2.08 | £2.20 | £2.00 | £2.10 | 3 644 486 |
Jan 25, 2024 | £2.05 | £2.16 | £2.00 | £2.05 | 1 443 888 |
Jan 24, 2024 | £2.15 | £2.20 | £1.70 | £2.09 | 21 470 351 |
Jan 23, 2024 | £2.88 | £3.00 | £2.76 | £2.88 | 662 080 |
Jan 22, 2024 | £2.88 | £3.00 | £2.75 | £2.88 | 329 854 |
Jan 19, 2024 | £2.94 | £2.95 | £2.83 | £2.95 | 550 933 |
Jan 18, 2024 | £2.99 | £3.00 | £2.83 | £2.88 | 4 464 631 |
Jan 17, 2024 | £3.00 | £3.15 | £2.76 | £2.98 | 1 466 891 |
Jan 16, 2024 | £2.89 | £3.13 | £2.68 | £3.13 | 1 584 313 |
Jan 15, 2024 | £3.08 | £3.30 | £2.65 | £2.75 | 2 568 638 |
Jan 12, 2024 | £3.50 | £3.50 | £3.07 | £3.25 | 625 579 |
Jan 11, 2024 | £3.16 | £3.50 | £3.00 | £3.25 | 478 323 |
Jan 10, 2024 | £3.24 | £3.35 | £3.06 | £3.25 | 876 147 |
Jan 09, 2024 | £3.28 | £3.28 | £3.03 | £3.25 | 1 090 767 |
Jan 08, 2024 | £3.04 | £3.50 | £3.02 | £3.30 | 1 182 429 |
Jan 05, 2024 | £3.30 | £3.30 | £2.73 | £3.13 | 4 136 889 |
Jan 04, 2024 | £3.50 | £3.50 | £3.00 | £3.25 | 1 305 738 |
Jan 03, 2024 | £3.50 | £3.50 | £3.03 | £3.25 | 1 662 482 |
Jan 02, 2024 | £3.74 | £3.75 | £3.00 | £3.50 | 1 009 389 |
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.