NASDAQ:ISEE
Delisted
IVERIC bio Inc. Stock Price (Quote)
$39.95
+0 (+0%)
At Close: Oct 09, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $39.95 | $39.95 | Monday, 9th Oct 2023 ISEE stock ended at $39.95. During the day the stock fluctuated 0% from a day low at $39.95 to a day high of $39.95. |
90 days | $39.95 | $39.95 | |
52 weeks | $16.67 | $39.99 |
Date | Open | High | Low | Close | Volume |
Feb 09, 2017 | $4.37 | $4.46 | $4.30 | $4.32 | 1 641 973 |
Feb 08, 2017 | $4.42 | $4.55 | $4.31 | $4.39 | 1 782 111 |
Feb 07, 2017 | $4.57 | $4.70 | $4.43 | $4.43 | 1 424 293 |
Feb 06, 2017 | $4.56 | $4.70 | $4.53 | $4.57 | 1 489 237 |
Feb 03, 2017 | $4.66 | $4.74 | $4.56 | $4.59 | 1 221 172 |
Feb 02, 2017 | $4.65 | $4.75 | $4.58 | $4.66 | 1 034 443 |
Feb 01, 2017 | $4.79 | $4.86 | $4.64 | $4.70 | 1 698 693 |
Jan 31, 2017 | $4.51 | $4.77 | $4.41 | $4.76 | 1 773 731 |
Jan 30, 2017 | $4.71 | $4.74 | $4.51 | $4.52 | 862 837 |
Jan 27, 2017 | $4.50 | $4.74 | $4.50 | $4.72 | 1 294 765 |
Jan 26, 2017 | $4.59 | $4.74 | $4.47 | $4.49 | 1 035 393 |
Jan 25, 2017 | $4.51 | $4.66 | $4.50 | $4.61 | 1 590 120 |
Jan 24, 2017 | $4.46 | $4.51 | $4.27 | $4.50 | 2 357 632 |
Jan 23, 2017 | $4.59 | $4.68 | $4.42 | $4.48 | 1 328 613 |
Jan 20, 2017 | $4.62 | $4.68 | $4.55 | $4.61 | 819 205 |
Jan 19, 2017 | $4.71 | $4.76 | $4.58 | $4.62 | 1 050 557 |
Jan 18, 2017 | $4.76 | $4.79 | $4.58 | $4.72 | 1 982 457 |
Jan 17, 2017 | $4.81 | $4.97 | $4.70 | $4.72 | 1 505 723 |
Jan 13, 2017 | $4.93 | $5.05 | $4.81 | $4.86 | 1 038 920 |
Jan 12, 2017 | $4.86 | $5.03 | $4.78 | $4.92 | 1 327 904 |
Jan 11, 2017 | $5.18 | $5.25 | $4.84 | $4.88 | 2 050 092 |
Jan 10, 2017 | $4.88 | $5.23 | $4.80 | $5.13 | 3 112 623 |
Jan 09, 2017 | $5.01 | $5.05 | $4.83 | $4.85 | 1 198 415 |
Jan 06, 2017 | $4.97 | $5.13 | $4.89 | $4.96 | 1 682 194 |
Jan 05, 2017 | $5.04 | $5.06 | $4.85 | $4.98 | 1 481 910 |
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 ISEE stock historical prices to predict future price movements?
Trend Analysis: Examine the ISEE 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 ISEE 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.