NASDAQ:SELB
Delisted
Selecta Biosciences Inc Stock Price (Quote)
$0.88
+0 (+0%)
At Close: Feb 12, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.88 | $0.88 | Monday, 12th Feb 2024 SELB stock ended at $0.88. During the day the stock fluctuated 0% from a day low at $0.88 to a day high of $0.88. |
90 days | $0.88 | $0.88 | |
52 weeks | $0.81 | $1.99 |
Date | Open | High | Low | Close | Volume |
Jul 10, 2023 | $1.08 | $1.10 | $1.07 | $1.09 | 495 202 |
Jul 07, 2023 | $1.06 | $1.10 | $1.05 | $1.09 | 724 299 |
Jul 06, 2023 | $1.08 | $1.09 | $1.03 | $1.07 | 740 510 |
Jul 05, 2023 | $1.10 | $1.13 | $1.08 | $1.09 | 443 991 |
Jul 03, 2023 | $1.12 | $1.14 | $1.08 | $1.12 | 394 558 |
Jun 30, 2023 | $1.12 | $1.15 | $1.10 | $1.12 | 513 795 |
Jun 29, 2023 | $1.07 | $1.12 | $1.07 | $1.12 | 831 286 |
Jun 28, 2023 | $1.06 | $1.09 | $1.05 | $1.08 | 871 322 |
Jun 27, 2023 | $1.12 | $1.12 | $1.03 | $1.07 | 1 063 041 |
Jun 26, 2023 | $1.18 | $1.18 | $1.08 | $1.08 | 1 181 664 |
Jun 23, 2023 | $1.16 | $1.22 | $1.13 | $1.18 | 12 280 832 |
Jun 22, 2023 | $1.17 | $1.20 | $1.15 | $1.18 | 862 080 |
Jun 21, 2023 | $1.20 | $1.21 | $1.15 | $1.17 | 1 187 198 |
Jun 20, 2023 | $1.20 | $1.28 | $1.19 | $1.21 | 1 542 727 |
Jun 16, 2023 | $1.26 | $1.28 | $1.18 | $1.18 | 833 872 |
Jun 15, 2023 | $1.23 | $1.29 | $1.21 | $1.26 | 1 010 747 |
Jun 14, 2023 | $1.37 | $1.38 | $1.25 | $1.25 | 729 285 |
Jun 13, 2023 | $1.36 | $1.40 | $1.35 | $1.37 | 822 503 |
Jun 12, 2023 | $1.33 | $1.37 | $1.32 | $1.35 | 560 085 |
Jun 09, 2023 | $1.37 | $1.39 | $1.31 | $1.32 | 552 433 |
Jun 08, 2023 | $1.36 | $1.41 | $1.33 | $1.37 | 897 313 |
Jun 07, 2023 | $1.41 | $1.41 | $1.35 | $1.36 | 568 148 |
Jun 06, 2023 | $1.31 | $1.41 | $1.29 | $1.40 | 1 602 342 |
Jun 05, 2023 | $1.29 | $1.33 | $1.25 | $1.31 | 1 346 146 |
Jun 02, 2023 | $1.25 | $1.28 | $1.22 | $1.28 | 1 527 683 |
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 SELB stock historical prices to predict future price movements?
Trend Analysis: Examine the SELB 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 SELB 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.