XLON:PYC
Physiomics Stock Price (Quote)
£1.22
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.03 | £1.67 | Thursday, 30th May 2024 PYC.L stock ended at £1.22. During the day the stock fluctuated 0% from a day low at £1.22 to a day high of £1.22. |
90 days | £1.03 | £1.67 | |
52 weeks | £0.90 | £3.19 |
Historical Physiomics prices
Date | Open | High | Low | Close | Volume |
Oct 03, 2016 | £0.0240 | £0.0245 | £0.0240 | £0.0245 | 96 503 054 |
Sep 30, 2016 | £0.0265 | £0.0265 | £0.0235 | £0.0235 | 26 074 013 |
Sep 29, 2016 | £0.0275 | £0.0275 | £0.0265 | £0.0265 | 60 168 357 |
Sep 28, 2016 | £0.0275 | £0.0275 | £0.0275 | £0.0275 | 7 093 300 |
Sep 27, 2016 | £0.0275 | £0.0275 | £0.0275 | £0.0275 | 8 556 019 |
Sep 26, 2016 | £0.0275 | £0.0275 | £0.0275 | £0.0275 | 67 195 307 |
Sep 23, 2016 | £0.0275 | £0.0275 | £0.0275 | £0.0275 | 21 722 441 |
Sep 22, 2016 | £0.0275 | £0.0275 | £0.0275 | £0.0275 | 52 913 349 |
Sep 21, 2016 | £0.0300 | £0.0300 | £0.0275 | £0.0275 | 31 452 219 |
Sep 20, 2016 | £0.0325 | £0.0325 | £0.0325 | £0.0325 | 8 418 718 |
Sep 19, 2016 | £0.0350 | £0.0350 | £0.0325 | £0.0325 | 4 902 893 |
Sep 16, 2016 | £0.0375 | £0.0375 | £0.0350 | £0.0350 | 800 000 |
Sep 15, 2016 | £0.0375 | £0.0375 | £0.0375 | £0.0375 | 3 092 330 |
Sep 14, 2016 | £0.0375 | £0.0375 | £0.0375 | £0.0375 | 848 228 |
Sep 13, 2016 | £0.0375 | £0.0375 | £0.0375 | £0.0375 | 8 728 271 |
Sep 12, 2016 | £0.0375 | £0.0375 | £0.0375 | £0.0375 | 3 601 025 |
Sep 09, 2016 | £0.0350 | £0.0375 | £0.0350 | £0.0375 | 15 281 068 |
Sep 08, 2016 | £0.0400 | £0.0400 | £0.0350 | £0.0350 | 12 729 838 |
Sep 07, 2016 | £0.0300 | £0.0425 | £0.0300 | £0.0400 | 46 559 707 |
Sep 06, 2016 | £0.0300 | £0.0300 | £0.0300 | £0.0300 | 0 |
Sep 05, 2016 | £0.0325 | £0.0325 | £0.0300 | £0.0300 | 9 345 091 |
Sep 02, 2016 | £0.0325 | £0.0325 | £0.0325 | £0.0325 | 5 366 086 |
Sep 01, 2016 | £0.0325 | £0.0325 | £0.0325 | £0.0325 | 5 496 292 |
Aug 31, 2016 | £0.0325 | £0.0325 | £0.0325 | £0.0325 | 8 581 744 |
Aug 30, 2016 | £0.0325 | £0.0325 | £0.0325 | £0.0325 | 1 340 100 |
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 PYC.L stock historical prices to predict future price movements?
Trend Analysis: Examine the PYC.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 PYC.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.