XLON:SIA
Delisted
SOCO International plc Stock Price (Quote)
£0.618
+0 (+0%)
At Close: Nov 04, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.593 | £0.648 | Monday, 4th Nov 2019 SIA.L stock ended at £0.618. During the day the stock fluctuated 0% from a day low at £0.618 to a day high of £0.618. |
90 days | £0.575 | £0.690 | |
52 weeks | £0.575 | £76.50 |
Date | Open | High | Low | Close | Volume |
Dec 28, 2017 | £1.12 | £1.13 | £1.10 | £1.13 | 111 907 |
Dec 27, 2017 | £1.07 | £1.12 | £1.05 | £1.12 | 385 577 |
Dec 26, 2017 | £1.05 | £1.05 | £1.05 | £1.05 | 0 |
Dec 22, 2017 | £1.08 | £1.08 | £1.04 | £1.05 | 153 626 |
Dec 21, 2017 | £1.06 | £1.07 | £1.04 | £1.06 | 280 015 |
Dec 20, 2017 | £1.09 | £1.09 | £1.03 | £1.03 | 254 346 |
Dec 19, 2017 | £1.08 | £1.12 | £1.08 | £1.09 | 227 417 |
Dec 18, 2017 | £1.14 | £1.14 | £1.04 | £1.08 | 528 343 |
Dec 15, 2017 | £1.09 | £1.15 | £1.08 | £1.11 | 1 230 015 |
Dec 14, 2017 | £1.05 | £1.10 | £1.05 | £1.09 | 416 061 |
Dec 13, 2017 | £1.05 | £1.06 | £1.04 | £1.05 | 147 858 |
Dec 12, 2017 | £1.03 | £1.08 | £1.03 | £1.05 | 599 602 |
Dec 11, 2017 | £1.04 | £1.07 | £1.03 | £1.05 | 301 102 |
Dec 08, 2017 | £1.02 | £1.05 | £1.00 | £1.03 | 228 665 |
Dec 07, 2017 | £1.02 | £1.05 | £0.98 | £1.00 | 272 152 |
Dec 06, 2017 | £1.05 | £1.05 | £0.98 | £1.02 | 433 541 |
Dec 05, 2017 | £1.06 | £1.06 | £1.03 | £1.05 | 191 196 |
Dec 04, 2017 | £1.08 | £1.09 | £1.04 | £1.06 | 237 856 |
Dec 01, 2017 | £1.07 | £1.09 | £1.06 | £1.08 | 360 815 |
Nov 30, 2017 | £1.07 | £1.08 | £1.05 | £1.06 | 493 517 |
Nov 29, 2017 | £1.09 | £1.13 | £1.05 | £1.05 | 369 123 |
Nov 28, 2017 | £1.14 | £1.14 | £1.09 | £1.09 | 100 833 |
Nov 27, 2017 | £1.13 | £1.14 | £1.11 | £1.11 | 775 683 |
Nov 24, 2017 | £1.17 | £1.17 | £1.12 | £1.12 | 447 366 |
Nov 23, 2017 | £117.00 | £117.00 | £116.25 | £116.75 | 151 484 |
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 SIA.L stock historical prices to predict future price movements?
Trend Analysis: Examine the SIA.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 SIA.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.