NASDAQ:BDSI
Delisted
BioDelivery Sciences International Stock Price (Quote)
$5.59
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.59 | $5.59 | Friday, 27th May 2022 BDSI stock ended at $5.59. During the day the stock fluctuated 0% from a day low at $5.59 to a day high of $5.59. |
90 days | $5.53 | $5.62 | |
52 weeks | $2.50 | $5.62 |
Date | Open | High | Low | Close | Volume |
Apr 29, 2020 | $4.71 | $4.71 | $4.55 | $4.67 | 822 949 |
Apr 28, 2020 | $4.73 | $4.75 | $4.55 | $4.57 | 911 869 |
Apr 27, 2020 | $4.40 | $4.69 | $4.39 | $4.63 | 906 043 |
Apr 24, 2020 | $4.31 | $4.38 | $4.27 | $4.36 | 864 621 |
Apr 23, 2020 | $4.20 | $4.32 | $4.18 | $4.31 | 1 364 578 |
Apr 22, 2020 | $4.35 | $4.35 | $4.17 | $4.21 | 963 295 |
Apr 21, 2020 | $4.12 | $4.18 | $4.03 | $4.06 | 528 825 |
Apr 20, 2020 | $4.22 | $4.30 | $4.14 | $4.17 | 546 170 |
Apr 17, 2020 | $4.22 | $4.30 | $4.12 | $4.25 | 766 513 |
Apr 16, 2020 | $4.23 | $4.27 | $4.02 | $4.12 | 505 295 |
Apr 15, 2020 | $4.15 | $4.28 | $4.03 | $4.21 | 822 216 |
Apr 14, 2020 | $4.13 | $4.36 | $4.05 | $4.26 | 1 028 916 |
Apr 13, 2020 | $4.14 | $4.27 | $4.09 | $4.09 | 857 603 |
Apr 09, 2020 | $4.08 | $4.17 | $4.03 | $4.14 | 1 045 860 |
Apr 08, 2020 | $3.97 | $4.10 | $3.93 | $4.04 | 768 630 |
Apr 07, 2020 | $4.03 | $4.13 | $3.88 | $3.94 | 811 462 |
Apr 06, 2020 | $3.86 | $4.04 | $3.81 | $3.95 | 747 448 |
Apr 03, 2020 | $3.78 | $3.95 | $3.70 | $3.79 | 721 687 |
Apr 02, 2020 | $3.70 | $3.79 | $3.61 | $3.78 | 1 013 590 |
Apr 01, 2020 | $3.75 | $4.00 | $3.62 | $3.73 | 984 396 |
Mar 31, 2020 | $3.75 | $3.83 | $3.66 | $3.79 | 1 858 316 |
Mar 30, 2020 | $3.60 | $3.79 | $3.53 | $3.73 | 1 568 600 |
Mar 27, 2020 | $3.46 | $3.64 | $3.41 | $3.53 | 1 071 035 |
Mar 26, 2020 | $3.35 | $3.63 | $3.34 | $3.51 | 958 168 |
Mar 25, 2020 | $3.40 | $3.53 | $3.26 | $3.31 | 2 134 548 |
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 BDSI stock historical prices to predict future price movements?
Trend Analysis: Examine the BDSI 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 BDSI 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.