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Range Low Price High Price Comment
30 days $0.0121 $0.0300 Friday, 31st May 2024 SRZNW stock ended at $0.0121. This is 58.28% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 34.71% from a day low at $0.0121 to a day high of $0.0163.
90 days $0.0121 $0.0790
52 weeks $0.0058 $0.105

Historical Surrozen, Inc. prices

Date Open High Low Close Volume
Oct 28, 2021 $1.27 $1.27 $1.26 $1.26 2 458
Oct 27, 2021 $1.07 $1.07 $1.07 $1.07 69
Oct 26, 2021 $1.07 $1.07 $1.07 $1.07 88
Oct 25, 2021 $1.07 $1.07 $1.07 $1.07 6
Oct 22, 2021 $1.07 $1.07 $1.07 $1.07 0
Oct 21, 2021 $1.07 $1.07 $1.07 $1.07 0
Oct 20, 2021 $1.07 $1.07 $1.07 $1.07 0
Oct 19, 2021 $1.26 $1.27 $1.07 $1.07 4 099
Oct 18, 2021 $1.14 $1.14 $1.14 $1.14 30
Oct 15, 2021 $1.14 $1.14 $1.14 $1.14 0
Oct 14, 2021 $1.14 $1.14 $1.14 $1.14 55
Oct 13, 2021 $1.21 $1.23 $1.14 $1.14 11 902
Oct 12, 2021 $1.15 $1.15 $1.14 $1.15 2 444
Oct 11, 2021 $1.23 $1.23 $1.11 $1.11 6 164
Oct 08, 2021 $1.06 $1.06 $1.06 $1.06 210
Oct 07, 2021 $1.31 $1.31 $1.10 $1.13 21 642
Oct 06, 2021 $1.31 $1.31 $1.31 $1.31 84
Oct 05, 2021 $1.21 $1.34 $1.21 $1.31 14 334
Oct 04, 2021 $1.21 $1.22 $1.21 $1.22 4 438
Oct 01, 2021 $1.19 $1.23 $1.10 $1.23 15 239
Sep 30, 2021 $1.12 $1.14 $1.07 $1.14 31 712
Sep 29, 2021 $1.22 $1.22 $1.10 $1.10 21 902
Sep 28, 2021 $1.45 $1.46 $1.12 $1.22 9 346
Sep 27, 2021 $1.60 $1.65 $1.28 $1.38 11 619
Sep 24, 2021 $1.99 $2.00 $1.85 $1.88 7 605

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 SRZNW stock historical prices to predict future price movements?
Trend Analysis: Examine the SRZNW 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 SRZNW 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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