NASDAQ:SRNE
Delisted
Sorrento Therapeutics Stock Price (Quote)
$0.307
+0 (+0%)
At Close: Feb 23, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.161 | $1.08 | Thursday, 23rd Feb 2023 SRNE stock ended at $0.307. During the day the stock fluctuated 0% from a day low at $0.307 to a day high of $0.307. |
90 days | $0.161 | $1.40 | |
52 weeks | $0.161 | $3.09 |
Date | Open | High | Low | Close | Volume |
Jan 19, 2022 | $4.32 | $4.50 | $4.25 | $4.31 | 4 928 500 |
Jan 18, 2022 | $4.40 | $4.53 | $4.22 | $4.23 | 4 822 800 |
Jan 14, 2022 | $4.27 | $4.58 | $4.23 | $4.56 | 5 237 200 |
Jan 13, 2022 | $4.52 | $4.67 | $4.32 | $4.33 | 4 383 900 |
Jan 12, 2022 | $4.70 | $4.76 | $4.45 | $4.49 | 4 781 400 |
Jan 11, 2022 | $4.67 | $4.75 | $4.56 | $4.68 | 3 005 100 |
Jan 10, 2022 | $4.50 | $4.70 | $4.39 | $4.67 | 4 544 200 |
Jan 07, 2022 | $4.58 | $4.80 | $4.53 | $4.53 | 3 881 400 |
Jan 06, 2022 | $4.43 | $4.66 | $4.33 | $4.54 | 5 313 900 |
Jan 05, 2022 | $4.71 | $4.83 | $4.40 | $4.40 | 5 503 400 |
Jan 04, 2022 | $4.95 | $4.99 | $4.67 | $4.73 | 4 267 770 |
Jan 03, 2022 | $4.68 | $4.97 | $4.57 | $4.90 | 6 816 009 |
Dec 31, 2021 | $4.90 | $4.97 | $4.65 | $4.65 | 9 027 066 |
Dec 30, 2021 | $4.87 | $5.10 | $4.84 | $4.90 | 8 618 428 |
Dec 29, 2021 | $4.96 | $5.00 | $4.85 | $4.87 | 7 792 174 |
Dec 28, 2021 | $5.50 | $5.58 | $4.90 | $4.91 | 11 647 254 |
Dec 27, 2021 | $5.89 | $5.92 | $5.54 | $5.57 | 6 715 332 |
Dec 23, 2021 | $5.70 | $5.83 | $5.54 | $5.73 | 3 411 396 |
Dec 22, 2021 | $5.83 | $5.83 | $5.58 | $5.69 | 3 978 301 |
Dec 21, 2021 | $5.90 | $5.94 | $5.72 | $5.82 | 3 517 664 |
Dec 20, 2021 | $6.01 | $6.10 | $5.82 | $5.87 | 4 421 801 |
Dec 17, 2021 | $5.90 | $6.30 | $5.82 | $6.10 | 11 263 333 |
Dec 16, 2021 | $6.19 | $6.23 | $5.88 | $5.93 | 4 026 046 |
Dec 15, 2021 | $6.10 | $6.25 | $5.75 | $6.18 | 5 780 039 |
Dec 14, 2021 | $6.09 | $6.14 | $5.87 | $6.10 | 4 668 282 |
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 SRNE stock historical prices to predict future price movements?
Trend Analysis: Examine the SRNE 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 SRNE 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.