XLON:POLY
Delisted
PLANET POLYMER TECHNOLOGIES INC Stock Price (Quote)
£166.00
+0 (+0%)
At Close: Oct 26, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £166.00 | £166.00 | Thursday, 26th Oct 2023 POLY.L stock ended at £166.00. During the day the stock fluctuated 0% from a day low at £166.00 to a day high of £166.00. |
90 days | £2.15 | £215.00 | |
52 weeks | £2.15 | £362.27 |
Date | Open | High | Low | Close | Volume |
Jul 25, 2016 | £1,054.00 | £1,055.00 | £1,022.00 | £1,031.00 | 264 086 |
Jul 22, 2016 | £1,056.00 | £1,065.00 | £1,033.00 | £1,049.00 | 315 990 |
Jul 21, 2016 | £1,045.00 | £1,059.00 | £1,025.00 | £1,039.00 | 432 949 |
Jul 20, 2016 | £1,095.00 | £1,102.00 | £1,028.00 | £1,045.00 | 790 074 |
Jul 19, 2016 | £1,095.00 | £1,129.00 | £1,083.00 | £1,109.00 | 543 840 |
Jul 18, 2016 | £1,096.00 | £1,106.00 | £1,082.00 | £1,098.00 | 520 725 |
Jul 15, 2016 | £1,109.00 | £1,122.00 | £1,093.00 | £1,116.00 | 528 622 |
Jul 14, 2016 | £1,149.00 | £1,159.00 | £1,118.00 | £1,118.00 | 671 415 |
Jul 13, 2016 | £1,107.00 | £1,136.00 | £1,107.00 | £1,119.00 | 630 162 |
Jul 12, 2016 | £1,129.00 | £1,134.00 | £1,091.00 | £1,102.00 | 733 429 |
Jul 11, 2016 | £1,096.00 | £1,130.00 | £1,096.00 | £1,128.00 | 872 689 |
Jul 08, 2016 | £1,116.00 | £1,120.00 | £1,089.00 | £1,102.00 | 1 106 793 |
Jul 07, 2016 | £1,124.00 | £1,132.00 | £1,108.00 | £1,109.00 | 848 178 |
Jul 06, 2016 | £1,092.00 | £1,136.00 | £1,090.00 | £1,128.00 | 1 253 982 |
Jul 05, 2016 | £1,085.00 | £1,097.00 | £1,070.00 | £1,083.00 | 490 800 |
Jul 04, 2016 | £1,075.00 | £1,087.00 | £1,063.00 | £1,079.00 | 658 428 |
Jul 01, 2016 | £1,050.00 | £1,059.00 | £1,036.00 | £1,059.00 | 723 688 |
Jun 30, 2016 | £1,015.00 | £1,048.00 | £997.50 | £1,047.00 | 852 341 |
Jun 29, 2016 | £985.50 | £1,014.00 | £985.50 | £1,014.00 | 694 193 |
Jun 28, 2016 | £989.50 | £1,006.00 | £944.00 | £983.50 | 929 344 |
Jun 27, 2016 | £918.00 | £976.00 | £917.00 | £968.00 | 1 103 234 |
Jun 24, 2016 | £844.50 | £935.50 | £844.50 | £921.00 | 1 143 926 |
Jun 23, 2016 | £850.00 | £870.50 | £848.00 | £870.50 | 480 679 |
Jun 22, 2016 | £863.50 | £872.00 | £849.00 | £850.50 | 431 316 |
Jun 21, 2016 | £864.00 | £874.50 | £851.50 | £857.00 | 431 372 |
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 POLY.L stock historical prices to predict future price movements?
Trend Analysis: Examine the POLY.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 POLY.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.