NASDAQ:IDRA
Delisted
Idera Pharmaceuticals Stock Price (Quote)
$4.71
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.71 | $4.71 | Wednesday, 19th Apr 2023 IDRA stock ended at $4.71. During the day the stock fluctuated 0% from a day low at $4.71 to a day high of $4.71. |
90 days | $4.56 | $8.45 | |
52 weeks | $0.215 | $16.00 |
Date | Open | High | Low | Close | Volume |
Nov 24, 2021 | $0.669 | $0.699 | $0.657 | $0.690 | 382 010 |
Nov 23, 2021 | $0.645 | $0.679 | $0.644 | $0.665 | 399 111 |
Nov 22, 2021 | $0.690 | $0.694 | $0.602 | $0.642 | 1 023 470 |
Nov 19, 2021 | $0.708 | $0.709 | $0.690 | $0.692 | 537 465 |
Nov 18, 2021 | $0.751 | $0.767 | $0.695 | $0.700 | 881 823 |
Nov 17, 2021 | $0.782 | $0.790 | $0.750 | $0.757 | 711 690 |
Nov 16, 2021 | $0.84 | $0.84 | $0.773 | $0.790 | 609 356 |
Nov 15, 2021 | $0.84 | $0.84 | $0.82 | $0.83 | 357 455 |
Nov 12, 2021 | $0.84 | $0.86 | $0.83 | $0.84 | 309 126 |
Nov 11, 2021 | $0.87 | $0.87 | $0.84 | $0.85 | 445 644 |
Nov 10, 2021 | $0.88 | $0.92 | $0.84 | $0.86 | 579 782 |
Nov 09, 2021 | $0.85 | $0.89 | $0.83 | $0.88 | 758 393 |
Nov 08, 2021 | $0.85 | $0.90 | $0.85 | $0.86 | 297 293 |
Nov 05, 2021 | $0.86 | $0.86 | $0.84 | $0.85 | 508 138 |
Nov 04, 2021 | $0.88 | $0.88 | $0.86 | $0.86 | 326 919 |
Nov 03, 2021 | $0.86 | $0.88 | $0.85 | $0.87 | 443 371 |
Nov 02, 2021 | $0.85 | $0.87 | $0.84 | $0.86 | 379 820 |
Nov 01, 2021 | $0.84 | $0.87 | $0.84 | $0.85 | 607 684 |
Oct 29, 2021 | $0.86 | $0.88 | $0.84 | $0.85 | 337 140 |
Oct 28, 2021 | $0.87 | $0.90 | $0.85 | $0.86 | 479 158 |
Oct 27, 2021 | $0.89 | $0.92 | $0.86 | $0.87 | 307 313 |
Oct 26, 2021 | $0.87 | $0.90 | $0.87 | $0.88 | 272 287 |
Oct 25, 2021 | $0.86 | $0.90 | $0.83 | $0.87 | 367 644 |
Oct 22, 2021 | $0.88 | $0.90 | $0.87 | $0.88 | 395 908 |
Oct 21, 2021 | $0.89 | $0.91 | $0.89 | $0.89 | 256 610 |
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 IDRA stock historical prices to predict future price movements?
Trend Analysis: Examine the IDRA 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 IDRA 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.