NASDAQ:PGNX
Delisted
Progenics Pharmaceuticals Inc. Stock Price (Quote)
$4.10
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.10 | $4.10 | Friday, 4th Sep 2020 PGNX stock ended at $4.10. During the day the stock fluctuated 0% from a day low at $4.10 to a day high of $4.10. |
90 days | $3.86 | $4.83 | |
52 weeks | $1.89 | $6.37 |
Historical Progenics Pharmaceuticals Inc. prices
Date | Open | High | Low | Close | Volume |
Aug 05, 2019 | $4.97 | $4.99 | $4.72 | $4.76 | 812 421 |
Aug 02, 2019 | $5.19 | $5.19 | $4.93 | $5.01 | 791 967 |
Aug 01, 2019 | $5.44 | $5.45 | $5.19 | $5.21 | 674 243 |
Jul 31, 2019 | $5.46 | $5.56 | $5.34 | $5.38 | 847 294 |
Jul 30, 2019 | $5.28 | $5.56 | $5.21 | $5.46 | 682 112 |
Jul 29, 2019 | $5.17 | $5.29 | $5.02 | $5.25 | 313 642 |
Jul 26, 2019 | $5.06 | $5.19 | $5.05 | $5.18 | 424 153 |
Jul 25, 2019 | $5.27 | $5.27 | $5.00 | $5.01 | 429 259 |
Jul 24, 2019 | $5.06 | $5.28 | $5.02 | $5.27 | 455 956 |
Jul 23, 2019 | $5.22 | $5.24 | $5.12 | $5.12 | 407 875 |
Jul 22, 2019 | $5.32 | $5.34 | $5.14 | $5.20 | 629 928 |
Jul 19, 2019 | $5.31 | $5.37 | $5.19 | $5.26 | 543 365 |
Jul 18, 2019 | $5.33 | $5.43 | $5.23 | $5.34 | 619 938 |
Jul 17, 2019 | $5.30 | $5.55 | $5.20 | $5.37 | 1 013 784 |
Jul 16, 2019 | $5.43 | $5.43 | $5.23 | $5.30 | 504 855 |
Jul 15, 2019 | $5.64 | $5.64 | $5.31 | $5.43 | 619 571 |
Jul 12, 2019 | $5.75 | $5.83 | $5.64 | $5.64 | 858 395 |
Jul 11, 2019 | $5.74 | $5.81 | $5.63 | $5.74 | 674 548 |
Jul 10, 2019 | $5.65 | $5.73 | $5.47 | $5.72 | 643 971 |
Jul 09, 2019 | $5.59 | $5.68 | $5.54 | $5.62 | 766 523 |
Jul 08, 2019 | $5.83 | $5.84 | $5.48 | $5.61 | 703 609 |
Jul 05, 2019 | $5.84 | $5.91 | $5.76 | $5.86 | 584 654 |
Jul 03, 2019 | $5.95 | $5.95 | $5.77 | $5.89 | 338 420 |
Jul 02, 2019 | $5.98 | $6.01 | $5.65 | $5.90 | 1 151 303 |
Jul 01, 2019 | $6.13 | $6.31 | $5.90 | $5.96 | 2 235 927 |
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 PGNX stock historical prices to predict future price movements?
Trend Analysis: Examine the PGNX 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 PGNX 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.