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 |
Historical Idera Pharmaceuticals prices
Date | Open | High | Low | Close | Volume |
Jan 17, 2017 | $1.58 | $1.59 | $1.50 | $1.51 | 824 084 |
Jan 13, 2017 | $1.59 | $1.64 | $1.56 | $1.58 | 730 497 |
Jan 12, 2017 | $1.59 | $1.59 | $1.52 | $1.57 | 472 092 |
Jan 11, 2017 | $1.62 | $1.64 | $1.55 | $1.60 | 779 816 |
Jan 10, 2017 | $1.61 | $1.66 | $1.59 | $1.62 | 798 086 |
Jan 09, 2017 | $1.58 | $1.64 | $1.54 | $1.62 | 1 075 112 |
Jan 06, 2017 | $1.55 | $1.59 | $1.50 | $1.57 | 787 320 |
Jan 05, 2017 | $1.61 | $1.62 | $1.53 | $1.53 | 594 350 |
Jan 04, 2017 | $1.52 | $1.59 | $1.47 | $1.59 | 972 549 |
Jan 03, 2017 | $1.52 | $1.53 | $1.40 | $1.50 | 1 062 010 |
Dec 30, 2016 | $1.51 | $1.55 | $1.45 | $1.50 | 1 164 916 |
Dec 29, 2016 | $1.56 | $1.58 | $1.50 | $1.52 | 878 278 |
Dec 28, 2016 | $1.60 | $1.61 | $1.50 | $1.55 | 960 109 |
Dec 27, 2016 | $1.60 | $1.64 | $1.58 | $1.59 | 543 098 |
Dec 23, 2016 | $1.56 | $1.62 | $1.56 | $1.61 | 557 165 |
Dec 22, 2016 | $1.58 | $1.60 | $1.54 | $1.56 | 683 222 |
Dec 21, 2016 | $1.63 | $1.64 | $1.56 | $1.59 | 691 425 |
Dec 20, 2016 | $1.61 | $1.68 | $1.60 | $1.62 | 573 024 |
Dec 19, 2016 | $1.61 | $1.69 | $1.60 | $1.60 | 786 378 |
Dec 16, 2016 | $1.61 | $1.64 | $1.59 | $1.61 | 1 119 032 |
Dec 15, 2016 | $1.64 | $1.64 | $1.58 | $1.59 | 691 169 |
Dec 14, 2016 | $1.62 | $1.63 | $1.56 | $1.63 | 690 147 |
Dec 13, 2016 | $1.62 | $1.65 | $1.54 | $1.60 | 801 461 |
Dec 12, 2016 | $1.70 | $1.70 | $1.58 | $1.60 | 994 762 |
Dec 09, 2016 | $1.68 | $1.75 | $1.67 | $1.69 | 609 907 |
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.