TSX:PYR
Pyrogenesis Canada Inc Stock Price (Quote)
$0.600
-0.0300 (-4.76%)
At Close: May 27, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.470 | $0.650 | Monday, 27th May 2024 PYR.TO stock ended at $0.600. This is 4.76% less than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 3.33% from a day low at $0.600 to a day high of $0.620. |
90 days | $0.380 | $0.650 | |
52 weeks | $0.360 | $1.29 |
Historical Pyrogenesis Canada Inc prices
Date | Open | High | Low | Close | Volume |
Jan 06, 2021 | $3.75 | $3.81 | $3.63 | $3.70 | 207 853 |
Jan 05, 2021 | $3.88 | $3.94 | $3.66 | $3.76 | 271 739 |
Jan 04, 2021 | $3.71 | $3.86 | $3.61 | $3.80 | 472 833 |
Dec 31, 2020 | $3.55 | $3.64 | $3.47 | $3.61 | 151 299 |
Dec 30, 2020 | $3.57 | $3.64 | $3.54 | $3.59 | 241 590 |
Dec 29, 2020 | $3.60 | $3.65 | $3.39 | $3.56 | 322 508 |
Dec 24, 2020 | $3.65 | $3.67 | $3.51 | $3.57 | 123 940 |
Dec 23, 2020 | $3.49 | $3.65 | $3.45 | $3.58 | 314 365 |
Dec 22, 2020 | $3.29 | $3.68 | $3.25 | $3.44 | 419 423 |
Dec 21, 2020 | $3.10 | $3.23 | $3.10 | $3.19 | 102 815 |
Dec 18, 2020 | $3.03 | $3.26 | $3.03 | $3.14 | 401 923 |
Dec 17, 2020 | $3.21 | $3.27 | $3.00 | $3.03 | 657 318 |
Dec 16, 2020 | $3.39 | $3.44 | $3.19 | $3.20 | 236 146 |
Dec 15, 2020 | $3.33 | $3.38 | $3.18 | $3.33 | 225 023 |
Dec 14, 2020 | $3.50 | $3.50 | $3.28 | $3.38 | 318 635 |
Dec 11, 2020 | $3.60 | $3.61 | $3.41 | $3.54 | 229 024 |
Dec 10, 2020 | $3.41 | $3.62 | $3.41 | $3.51 | 217 119 |
Dec 09, 2020 | $3.57 | $3.62 | $3.35 | $3.40 | 390 032 |
Dec 08, 2020 | $3.60 | $3.75 | $3.48 | $3.52 | 465 317 |
Dec 07, 2020 | $3.48 | $3.65 | $3.47 | $3.59 | 280 951 |
Dec 04, 2020 | $3.69 | $3.73 | $3.45 | $3.51 | 480 643 |
Dec 03, 2020 | $3.82 | $3.90 | $3.56 | $3.65 | 659 721 |
Dec 02, 2020 | $4.09 | $4.09 | $3.75 | $3.81 | 462 809 |
Dec 01, 2020 | $3.71 | $4.00 | $3.66 | $3.97 | 528 398 |
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 PYR.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the PYR.TO 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 PYR.TO 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.