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 |
Jun 17, 2019 | £0.654 | £0.661 | £0.648 | £0.652 | 1 457 052 |
Jun 14, 2019 | £0.654 | £0.667 | £0.647 | £0.649 | 410 092 |
Jun 13, 2019 | £0.654 | £0.654 | £0.649 | £0.654 | 291 907 |
Jun 12, 2019 | £0.653 | £0.654 | £0.646 | £0.650 | 367 225 |
Jun 11, 2019 | £0.650 | £0.654 | £0.647 | £0.651 | 410 789 |
Jun 10, 2019 | £0.660 | £0.660 | £0.647 | £0.650 | 485 285 |
Jun 07, 2019 | £0.656 | £0.660 | £0.652 | £0.656 | 792 775 |
Jun 06, 2019 | £0.654 | £0.660 | £0.649 | £0.656 | 1 330 596 |
Jun 05, 2019 | £0.664 | £0.664 | £0.647 | £0.647 | 427 284 |
Jun 04, 2019 | £0.665 | £0.665 | £0.656 | £0.659 | 336 374 |
Jun 03, 2019 | £0.659 | £0.675 | £0.650 | £0.660 | 542 748 |
May 31, 2019 | £0.655 | £0.664 | £0.650 | £0.660 | 442 435 |
May 30, 2019 | £0.663 | £0.665 | £0.656 | £0.660 | 370 143 |
May 29, 2019 | £0.676 | £0.676 | £0.651 | £0.653 | 450 123 |
May 28, 2019 | £0.679 | £0.694 | £0.672 | £0.678 | 346 059 |
May 24, 2019 | £0.700 | £0.700 | £0.670 | £0.672 | 203 323 |
May 23, 2019 | £0.690 | £0.690 | £0.658 | £0.674 | 302 167 |
May 22, 2019 | £0.668 | £0.673 | £0.660 | £0.670 | 214 009 |
May 21, 2019 | £0.662 | £0.668 | £0.656 | £0.666 | 135 583 |
May 20, 2019 | £0.620 | £0.669 | £0.620 | £0.661 | 133 821 |
May 17, 2019 | £0.664 | £0.664 | £0.634 | £0.641 | 565 392 |
May 16, 2019 | £0.639 | £0.645 | £0.631 | £0.640 | 397 778 |
May 15, 2019 | £0.670 | £0.670 | £0.643 | £0.643 | 245 474 |
May 14, 2019 | £0.642 | £0.651 | £0.633 | £0.646 | 300 438 |
May 13, 2019 | £0.643 | £0.646 | £0.634 | £0.635 | 196 599 |
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.