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Range Low Price High Price Comment
30 days $0.210 $0.300 Friday, 31st May 2024 SEOVF stock ended at $0.266. This is 18.09% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 21.29% from a day low at $0.220 to a day high of $0.267.
90 days $0.210 $0.450
52 weeks $0.210 $0.83

Historical Sernova Corp. prices

Date Open High Low Close Volume
May 31, 2024 $0.220 $0.267 $0.220 $0.266 14 085
May 30, 2024 $0.226 $0.226 $0.226 $0.226 0
May 29, 2024 $0.244 $0.244 $0.226 $0.226 5 433
May 28, 2024 $0.230 $0.250 $0.230 $0.240 70 300
May 24, 2024 $0.228 $0.230 $0.228 $0.230 1 250
May 23, 2024 $0.221 $0.221 $0.210 $0.211 102 000
May 22, 2024 $0.231 $0.241 $0.217 $0.217 46 200
May 21, 2024 $0.230 $0.230 $0.216 $0.216 60 750
May 20, 2024 $0.236 $0.236 $0.236 $0.236 2 000
May 17, 2024 $0.244 $0.244 $0.235 $0.235 10 600
May 16, 2024 $0.244 $0.244 $0.244 $0.244 12 000
May 15, 2024 $0.239 $0.255 $0.229 $0.255 104 500
May 14, 2024 $0.249 $0.249 $0.229 $0.234 31 500
May 13, 2024 $0.270 $0.270 $0.257 $0.257 3 050
May 10, 2024 $0.283 $0.283 $0.259 $0.266 5 000
May 09, 2024 $0.280 $0.280 $0.280 $0.280 0
May 08, 2024 $0.300 $0.300 $0.280 $0.280 25 600
May 07, 2024 $0.281 $0.295 $0.281 $0.288 53 064
May 06, 2024 $0.289 $0.293 $0.277 $0.280 13 197
May 03, 2024 $0.280 $0.280 $0.280 $0.280 2 538
May 02, 2024 $0.300 $0.300 $0.298 $0.298 5 850
May 01, 2024 $0.295 $0.295 $0.292 $0.292 4 500
Apr 30, 2024 $0.317 $0.317 $0.304 $0.308 34 456
Apr 29, 2024 $0.350 $0.350 $0.320 $0.329 36 291
Apr 26, 2024 $0.302 $0.319 $0.302 $0.319 14 800

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 SEOVF stock historical prices to predict future price movements?
Trend Analysis: Examine the SEOVF 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 SEOVF 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 Sernova Corp.

Sernova . Sernova Corp. operates as a clinical-stage regenerative medicine therapeutics company in Canada. The company focuses on the development and commercialization of regenerative medicine therapeutics, including its proprietary Cell Pouch and associated technologies consisting of therapeutic cells and local cellular immune protection. Its Cell Pouch is a medical device designed to create a vascularized tissue environment for the transplantation and en... SEOVF Profile

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