NASDAQ:IOVA
Iovance Biotherapeutics, Inc. Stock Price (Quote)
$10.01
-0.250 (-2.44%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $9.85 | $14.23 | Friday, 24th May 2024 IOVA stock ended at $10.01. This is 2.44% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 10.41% from a day low at $9.85 to a day high of $10.88. |
90 days | $9.85 | $18.33 | |
52 weeks | $3.21 | $18.33 |
Date | Open | High | Low | Close | Volume |
May 08, 2017 | $6.00 | $6.20 | $5.98 | $6.00 | 287 093 |
May 05, 2017 | $6.15 | $6.20 | $6.05 | $6.05 | 263 074 |
May 04, 2017 | $6.15 | $6.40 | $6.00 | $6.15 | 331 446 |
May 03, 2017 | $6.10 | $6.15 | $5.95 | $6.00 | 252 869 |
May 02, 2017 | $6.35 | $6.80 | $6.05 | $6.18 | 284 035 |
May 01, 2017 | $6.85 | $6.95 | $6.70 | $6.90 | 75 325 |
Apr 28, 2017 | $7.05 | $7.05 | $6.75 | $6.85 | 185 599 |
Apr 27, 2017 | $7.20 | $7.28 | $6.95 | $7.05 | 207 822 |
Apr 26, 2017 | $7.00 | $7.30 | $6.90 | $7.20 | 271 766 |
Apr 25, 2017 | $6.80 | $7.05 | $6.60 | $6.95 | 173 349 |
Apr 24, 2017 | $6.80 | $6.80 | $6.60 | $6.65 | 240 511 |
Apr 21, 2017 | $6.65 | $6.70 | $6.40 | $6.60 | 166 073 |
Apr 20, 2017 | $6.35 | $6.75 | $6.35 | $6.65 | 216 166 |
Apr 19, 2017 | $6.05 | $6.40 | $6.05 | $6.30 | 198 771 |
Apr 18, 2017 | $5.95 | $6.15 | $5.90 | $6.05 | 122 856 |
Apr 17, 2017 | $6.00 | $6.15 | $5.90 | $6.00 | 144 032 |
Apr 13, 2017 | $6.10 | $6.25 | $6.00 | $6.05 | 154 472 |
Apr 12, 2017 | $6.10 | $6.30 | $5.95 | $6.15 | 265 678 |
Apr 11, 2017 | $6.40 | $6.50 | $6.20 | $6.20 | 181 545 |
Apr 10, 2017 | $6.50 | $6.60 | $6.20 | $6.35 | 140 813 |
Apr 07, 2017 | $6.70 | $6.80 | $6.30 | $6.55 | 414 211 |
Apr 06, 2017 | $6.90 | $6.95 | $6.65 | $6.70 | 192 457 |
Apr 05, 2017 | $6.95 | $7.00 | $6.85 | $6.90 | 278 287 |
Apr 04, 2017 | $7.10 | $7.20 | $6.75 | $6.95 | 303 435 |
Apr 03, 2017 | $7.50 | $7.50 | $7.00 | $7.15 | 1 443 909 |
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 IOVA stock historical prices to predict future price movements?
Trend Analysis: Examine the IOVA 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 IOVA 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.