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 |
Feb 24, 2017 | $1.95 | $1.95 | $1.85 | $1.88 | 580 387 |
Feb 23, 2017 | $2.10 | $2.10 | $1.90 | $1.90 | 618 157 |
Feb 22, 2017 | $1.90 | $2.06 | $1.88 | $2.05 | 915 592 |
Feb 21, 2017 | $1.90 | $1.90 | $1.80 | $1.90 | 387 607 |
Feb 17, 2017 | $1.85 | $1.90 | $1.80 | $1.88 | 436 272 |
Feb 16, 2017 | $1.90 | $1.95 | $1.85 | $1.88 | 342 300 |
Feb 15, 2017 | $2.00 | $2.03 | $1.90 | $1.90 | 284 550 |
Feb 14, 2017 | $2.00 | $2.05 | $1.99 | $2.05 | 301 531 |
Feb 13, 2017 | $2.05 | $2.05 | $2.00 | $2.00 | 246 772 |
Feb 10, 2017 | $2.10 | $2.10 | $2.00 | $2.05 | 478 186 |
Feb 09, 2017 | $2.05 | $2.10 | $2.00 | $2.05 | 372 772 |
Feb 08, 2017 | $1.90 | $2.01 | $1.90 | $1.98 | 354 792 |
Feb 07, 2017 | $1.85 | $1.95 | $1.80 | $1.95 | 411 957 |
Feb 06, 2017 | $1.85 | $1.90 | $1.80 | $1.80 | 600 513 |
Feb 03, 2017 | $1.90 | $1.95 | $1.78 | $1.85 | 1 411 015 |
Feb 02, 2017 | $2.00 | $2.05 | $1.80 | $1.88 | 532 251 |
Feb 01, 2017 | $1.95 | $2.05 | $1.80 | $1.90 | 955 005 |
Jan 31, 2017 | $2.00 | $2.00 | $1.92 | $1.95 | 191 903 |
Jan 30, 2017 | $1.95 | $2.00 | $1.90 | $2.00 | 244 729 |
Jan 27, 2017 | $1.85 | $1.95 | $1.85 | $1.95 | 187 039 |
Jan 26, 2017 | $1.80 | $1.90 | $1.80 | $1.90 | 139 750 |
Jan 25, 2017 | $1.80 | $1.85 | $1.75 | $1.80 | 366 635 |
Jan 24, 2017 | $1.90 | $1.90 | $1.80 | $1.80 | 206 299 |
Jan 23, 2017 | $1.90 | $1.90 | $1.85 | $1.90 | 96 431 |
Jan 20, 2017 | $1.85 | $1.90 | $1.85 | $1.90 | 69 593 |
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.