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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
Dec 12, 2016 £0.0195 £0.0195 £0.0185 £0.0185 49 310 501
Dec 09, 2016 £0.0195 £0.0195 £0.0195 £0.0195 5 176 614
Dec 08, 2016 £0.0205 £0.0205 £0.0195 £0.0195 37 058 187
Dec 07, 2016 £0.0205 £0.0205 £0.0205 £0.0205 2 713 234
Dec 06, 2016 £0.0215 £0.0215 £0.0205 £0.0205 13 348 095
Dec 05, 2016 £0.0210 £0.0215 £0.0210 £0.0215 49 797 486
Dec 02, 2016 £0.0220 £0.0220 £0.0205 £0.0205 31 605 353
Dec 01, 2016 £0.0220 £0.0220 £0.0220 £0.0220 53 701 578
Nov 30, 2016 £0.0215 £0.0215 £0.0215 £0.0215 13 191 880
Nov 29, 2016 £0.0205 £0.0215 £0.0205 £0.0215 43 194 660
Nov 28, 2016 £0.0215 £0.0215 £0.0205 £0.0205 19 067 925
Nov 25, 2016 £0.0215 £0.0215 £0.0215 £0.0215 17 837 725
Nov 24, 2016 £0.0215 £0.0215 £0.0215 £0.0215 9 387 168
Nov 23, 2016 £0.0225 £0.0225 £0.0215 £0.0215 22 819 574
Nov 22, 2016 £0.0225 £0.0225 £0.0225 £0.0225 8 100 331
Nov 21, 2016 £0.0225 £0.0225 £0.0225 £0.0225 17 933 486
Nov 18, 2016 £0.0225 £0.0225 £0.0225 £0.0225 20 553 003
Nov 17, 2016 £0.0230 £0.0230 £0.0225 £0.0225 27 405 167
Nov 16, 2016 £0.0235 £0.0235 £0.0230 £0.0230 12 673 441
Nov 15, 2016 £0.0235 £0.0235 £0.0235 £0.0235 6 191 684
Nov 14, 2016 £0.0240 £0.0240 £0.0235 £0.0235 68 104 635
Nov 11, 2016 £0.0235 £0.0240 £0.0235 £0.0240 52 922 931
Nov 10, 2016 £0.0240 £0.0240 £0.0235 £0.0235 23 003 279
Nov 09, 2016 £0.0215 £0.0240 £0.0215 £0.0240 65 939 294
Nov 08, 2016 £0.0215 £0.0215 £0.0215 £0.0215 16 629 024

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.

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.

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.

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.
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About Physiomics

Physiomics Physiomics Plc provides consulting services to pharmaceutical companies in the areas of outsourced quantitative pharmacology and computational biology in the United Kingdom, the United States, and the European Union. It offers modeling, simulation, and data analysis services covering various ranges of oncology research and development using its proprietary Virtual Tumour predictive software. The company also develops technology for use in the fie... PYC.L Profile

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