NASDAQ:INFI
Delisted
Infinity Pharmaceuticals Stock Price (Quote)
$0.0160
+0 (+0%)
At Close: Dec 28, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0160 | $0.0160 | Thursday, 28th Dec 2023 INFI stock ended at $0.0160. During the day the stock fluctuated 0% from a day low at $0.0160 to a day high of $0.0160. |
90 days | $0.0115 | $0.0190 | |
52 weeks | $0.0111 | $0.770 |
Date | Open | High | Low | Close | Volume |
Aug 23, 2016 | $1.73 | $1.79 | $1.68 | $1.68 | 285 000 |
Aug 22, 2016 | $1.62 | $1.77 | $1.58 | $1.74 | 614 300 |
Aug 19, 2016 | $1.64 | $1.67 | $1.61 | $1.61 | 230 800 |
Aug 18, 2016 | $1.63 | $1.65 | $1.60 | $1.64 | 188 700 |
Aug 17, 2016 | $1.64 | $1.65 | $1.60 | $1.63 | 257 300 |
Aug 16, 2016 | $1.64 | $1.66 | $1.63 | $1.64 | 372 300 |
Aug 15, 2016 | $1.64 | $1.71 | $1.63 | $1.65 | 380 100 |
Aug 12, 2016 | $1.61 | $1.66 | $1.60 | $1.64 | 358 600 |
Aug 11, 2016 | $1.51 | $1.62 | $1.51 | $1.61 | 586 300 |
Aug 10, 2016 | $1.61 | $1.66 | $1.48 | $1.51 | 899 500 |
Aug 09, 2016 | $1.67 | $1.70 | $1.60 | $1.61 | 766 600 |
Aug 08, 2016 | $1.73 | $1.78 | $1.67 | $1.67 | 770 300 |
Aug 05, 2016 | $1.68 | $1.75 | $1.68 | $1.70 | 450 600 |
Aug 04, 2016 | $1.76 | $1.80 | $1.65 | $1.68 | 648 300 |
Aug 03, 2016 | $1.65 | $1.75 | $1.64 | $1.75 | 494 400 |
Aug 02, 2016 | $1.70 | $1.72 | $1.63 | $1.66 | 583 100 |
Aug 01, 2016 | $1.69 | $1.72 | $1.63 | $1.69 | 598 500 |
Jul 29, 2016 | $1.60 | $1.72 | $1.55 | $1.68 | 1 247 000 |
Jul 28, 2016 | $1.60 | $1.64 | $1.58 | $1.62 | 490 000 |
Jul 27, 2016 | $1.57 | $1.65 | $1.57 | $1.61 | 575 600 |
Jul 26, 2016 | $1.56 | $1.60 | $1.52 | $1.55 | 617 300 |
Jul 25, 2016 | $1.53 | $1.60 | $1.45 | $1.57 | 707 100 |
Jul 22, 2016 | $1.59 | $1.59 | $1.51 | $1.54 | 779 500 |
Jul 21, 2016 | $1.69 | $1.78 | $1.57 | $1.60 | 2 088 400 |
Jul 20, 2016 | $1.50 | $1.65 | $1.49 | $1.61 | 3 214 200 |
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 INFI stock historical prices to predict future price movements?
Trend Analysis: Examine the INFI 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 INFI 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.