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 |
Historical SOCO International plc prices
Date | Open | High | Low | Close | Volume |
Sep 04, 2018 | £0.91 | £0.93 | £0.89 | £0.91 | 126 873 |
Sep 03, 2018 | £92.10 | £92.60 | £88.10 | £90.00 | 217 835 |
Aug 31, 2018 | £0.91 | £0.95 | £0.89 | £0.89 | 160 109 |
Aug 30, 2018 | £0.91 | £0.97 | £0.91 | £0.92 | 97 354 |
Aug 29, 2018 | £0.91 | £0.96 | £0.91 | £0.94 | 126 289 |
Aug 28, 2018 | £0.95 | £0.99 | £0.91 | £0.91 | 63 339 |
Aug 27, 2018 | £0.97 | £0.97 | £0.97 | £0.97 | 0 |
Aug 24, 2018 | £0.98 | £0.99 | £0.97 | £0.97 | 72 543 |
Aug 23, 2018 | £1.00 | £1.00 | £0.95 | £0.98 | 112 446 |
Aug 22, 2018 | £0.96 | £1.00 | £0.96 | £0.99 | 218 841 |
Aug 21, 2018 | £0.98 | £0.98 | £0.94 | £0.95 | 54 136 |
Aug 20, 2018 | £0.95 | £0.99 | £0.92 | £0.94 | 74 416 |
Aug 17, 2018 | £0.97 | £0.99 | £0.95 | £0.97 | 82 229 |
Aug 16, 2018 | £0.97 | £0.98 | £0.97 | £0.97 | 224 496 |
Aug 15, 2018 | £0.97 | £0.97 | £0.96 | £0.96 | 207 744 |
Aug 14, 2018 | £0.97 | £0.98 | £0.96 | £0.97 | 108 529 |
Aug 13, 2018 | £0.94 | £1.00 | £0.94 | £1.00 | 69 731 |
Aug 10, 2018 | £0.97 | £1.00 | £0.94 | £1.00 | 57 894 |
Aug 09, 2018 | £0.93 | £0.99 | £0.93 | £0.95 | 107 820 |
Aug 08, 2018 | £0.95 | £0.96 | £0.93 | £0.93 | 35 329 |
Aug 07, 2018 | £0.96 | £0.98 | £0.95 | £0.96 | 151 549 |
Aug 06, 2018 | £0.97 | £0.97 | £0.96 | £0.97 | 77 535 |
Aug 03, 2018 | £0.97 | £0.97 | £0.95 | £0.96 | 234 609 |
Aug 02, 2018 | £0.95 | £0.96 | £0.93 | £0.95 | 54 737 |
Aug 01, 2018 | £0.97 | £0.97 | £0.94 | £0.97 | 92 182 |
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.