NYSE:BPMX
Delisted
BioPharmX Corporation Stock Price (Quote)
$0.279
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.279 | $0.279 | Wednesday, 17th Aug 2022 BPMX stock ended at $0.279. During the day the stock fluctuated 0% from a day low at $0.279 to a day high of $0.279. |
90 days | $0.279 | $0.279 | |
52 weeks | $0.241 | $1.05 |
Date | Open | High | Low | Close | Volume |
Aug 19, 2021 | $0.98 | $1.00 | $0.90 | $0.91 | 892 451 |
Aug 18, 2021 | $0.98 | $1.03 | $0.96 | $0.98 | 668 625 |
Aug 17, 2021 | $0.99 | $1.12 | $0.98 | $1.01 | 1 192 043 |
Aug 16, 2021 | $0.99 | $1.05 | $0.96 | $1.02 | 1 166 274 |
Aug 13, 2021 | $1.04 | $1.08 | $0.98 | $1.00 | 795 084 |
Aug 12, 2021 | $1.06 | $1.06 | $1.03 | $1.06 | 313 444 |
Aug 11, 2021 | $1.07 | $1.07 | $1.01 | $1.05 | 363 810 |
Aug 10, 2021 | $1.03 | $1.06 | $1.00 | $1.00 | 235 552 |
Aug 09, 2021 | $1.03 | $1.10 | $1.01 | $1.07 | 980 995 |
Aug 06, 2021 | $0.98 | $1.02 | $0.98 | $1.02 | 220 339 |
Aug 05, 2021 | $0.98 | $1.00 | $0.98 | $0.99 | 178 705 |
Aug 04, 2021 | $0.98 | $1.02 | $0.97 | $0.99 | 229 784 |
Aug 03, 2021 | $1.00 | $1.01 | $0.98 | $1.00 | 249 249 |
Aug 02, 2021 | $0.97 | $1.01 | $0.96 | $1.01 | 420 409 |
Jul 30, 2021 | $0.95 | $1.06 | $0.95 | $0.98 | 1 239 725 |
Jul 29, 2021 | $0.95 | $0.96 | $0.93 | $0.94 | 190 420 |
Jul 28, 2021 | $0.93 | $0.96 | $0.93 | $0.96 | 333 505 |
Jul 27, 2021 | $0.97 | $0.98 | $0.92 | $0.94 | 541 441 |
Jul 26, 2021 | $0.95 | $0.98 | $0.95 | $0.97 | 531 753 |
Jul 23, 2021 | $1.00 | $1.01 | $0.95 | $0.97 | 520 545 |
Jul 22, 2021 | $1.05 | $1.06 | $1.00 | $1.01 | 675 410 |
Jul 21, 2021 | $0.96 | $1.02 | $0.95 | $1.02 | 375 962 |
Jul 20, 2021 | $0.93 | $0.97 | $0.93 | $0.95 | 485 123 |
Jul 19, 2021 | $1.02 | $1.02 | $0.92 | $0.96 | 1 350 928 |
Jul 16, 2021 | $1.05 | $1.09 | $1.01 | $1.03 | 535 608 |
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 BPMX stock historical prices to predict future price movements?
Trend Analysis: Examine the BPMX 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 BPMX 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.