XLON:0IKB
Delisted
ST Microelectronics Stock Price (Quote)
£16.11
+0 (+0%)
At Close: Aug 08, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £16.11 | £16.11 | Thursday, 8th Aug 2019 0IKB.L stock ended at £16.11. During the day the stock fluctuated 0% from a day low at £16.11 to a day high of £16.11. |
90 days | £12.62 | £16.60 | |
52 weeks | £10.28 | £19.17 |
Date | Open | High | Low | Close | Volume |
Feb 08, 2019 | £13.62 | £13.79 | £12.92 | £13.51 | 2 701 711 |
Feb 07, 2019 | £14.64 | £14.64 | £13.39 | £14.00 | 2 692 890 |
Feb 06, 2019 | £13.79 | £14.45 | £13.13 | £14.45 | 2 802 516 |
Feb 05, 2019 | £13.86 | £13.95 | £13.18 | £13.84 | 2 062 873 |
Feb 04, 2019 | £13.71 | £13.99 | £13.19 | £13.94 | 1 389 683 |
Feb 01, 2019 | £13.91 | £13.93 | £13.20 | £13.90 | 1 109 419 |
Jan 31, 2019 | £14.16 | £14.16 | £13.17 | £13.89 | 2 204 880 |
Jan 30, 2019 | £14.00 | £14.16 | £13.43 | £13.88 | 3 215 539 |
Jan 29, 2019 | £13.81 | £13.98 | £13.28 | £13.86 | 1 921 611 |
Jan 28, 2019 | £14.40 | £14.40 | £13.32 | £14.06 | 3 483 285 |
Jan 25, 2019 | £13.89 | £14.29 | £13.26 | £14.27 | 4 245 600 |
Jan 24, 2019 | £12.68 | £13.80 | £11.88 | £13.76 | 6 456 994 |
Jan 23, 2019 | £12.08 | £12.44 | £11.54 | £12.42 | 2 074 767 |
Jan 22, 2019 | £12.84 | £12.84 | £12.84 | £12.84 | 0 |
Jan 21, 2019 | £12.86 | £12.88 | £12.18 | £12.84 | 1 530 076 |
Jan 18, 2019 | £12.55 | £12.77 | £11.87 | £12.77 | 2 864 813 |
Jan 17, 2019 | £12.25 | £12.31 | £11.69 | £12.27 | 2 229 998 |
Jan 16, 2019 | £12.21 | £12.43 | £11.75 | £12.43 | 1 446 873 |
Jan 15, 2019 | £12.26 | £12.49 | £11.60 | £12.39 | 3 657 716 |
Jan 14, 2019 | £12.27 | £12.27 | £11.50 | £12.13 | 2 672 031 |
Jan 11, 2019 | £12.15 | £12.26 | £11.62 | £12.25 | 1 749 219 |
Jan 10, 2019 | £11.80 | £12.17 | £11.30 | £12.15 | 2 325 973 |
Jan 09, 2019 | £11.47 | £12.05 | £10.97 | £12.00 | 3 561 737 |
Jan 08, 2019 | £11.32 | £11.74 | £10.75 | £11.46 | 1 929 960 |
Jan 07, 2019 | £11.12 | £11.32 | £10.56 | £11.30 | 1 887 664 |
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 0IKB.L stock historical prices to predict future price movements?
Trend Analysis: Examine the 0IKB.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 0IKB.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.