XLON:OCT
Delisted
Octagonal Plc Stock Price (Quote)
£0.0100
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.0100 | £0.0100 | Wednesday, 17th Aug 2022 OCT.L stock ended at £0.0100. During the day the stock fluctuated 0% from a day low at £0.0100 to a day high of £0.0100. |
90 days | £0.0100 | £0.0100 | |
52 weeks | £0.0100 | £0.0100 |
Historical Octagonal Plc prices
Date | Open | High | Low | Close | Volume |
May 11, 2016 | £1.20 | £1.23 | £1.20 | £1.23 | 3 350 031 |
May 10, 2016 | £1.20 | £1.20 | £1.20 | £1.20 | 564 190 |
May 09, 2016 | £1.20 | £1.20 | £1.20 | £1.20 | 1 047 011 |
May 06, 2016 | £1.20 | £1.20 | £1.20 | £1.20 | 0 |
May 05, 2016 | £1.15 | £1.20 | £1.15 | £1.20 | 2 277 553 |
May 04, 2016 | £1.18 | £1.18 | £1.15 | £1.15 | 268 209 |
May 03, 2016 | £1.25 | £1.25 | £1.18 | £1.18 | 567 237 |
Apr 29, 2016 | £1.53 | £1.53 | £1.10 | £1.25 | 10 948 452 |
Apr 28, 2016 | £1.43 | £1.55 | £1.43 | £1.55 | 3 456 432 |
Apr 27, 2016 | £1.45 | £1.50 | £1.43 | £1.43 | 6 177 671 |
Apr 26, 2016 | £1.48 | £1.48 | £1.45 | £1.45 | 2 630 180 |
Apr 25, 2016 | £1.45 | £1.55 | £1.45 | £1.48 | 2 600 513 |
Apr 22, 2016 | £1.38 | £1.45 | £1.38 | £1.45 | 1 689 520 |
Apr 21, 2016 | £1.40 | £1.40 | £1.38 | £1.38 | 2 930 980 |
Apr 20, 2016 | £1.30 | £1.45 | £1.30 | £1.40 | 5 024 052 |
Apr 19, 2016 | £1.25 | £1.33 | £1.25 | £1.30 | 1 035 161 |
Apr 18, 2016 | £1.25 | £1.25 | £1.25 | £1.25 | 1 947 092 |
Apr 15, 2016 | £1.28 | £1.28 | £1.25 | £1.25 | 1 031 153 |
Apr 14, 2016 | £1.28 | £1.28 | £1.28 | £1.28 | 547 851 |
Apr 13, 2016 | £1.15 | £1.28 | £1.15 | £1.28 | 3 768 000 |
Apr 12, 2016 | £1.15 | £1.15 | £1.15 | £1.15 | 362 727 |
Apr 11, 2016 | £1.05 | £1.15 | £1.05 | £1.15 | 4 479 611 |
Apr 08, 2016 | £1.05 | £1.05 | £1.05 | £1.05 | 242 458 |
Apr 07, 2016 | £1.05 | £1.05 | £1.05 | £1.05 | 729 461 |
Apr 06, 2016 | £1.05 | £1.05 | £1.05 | £1.05 | 597 004 |
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 OCT.L stock historical prices to predict future price movements?
Trend Analysis: Examine the OCT.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 OCT.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.