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 |
Sep 25, 2018 | $2.75 | $2.80 | $2.70 | $2.70 | 262 168 |
Sep 24, 2018 | $2.80 | $2.83 | $2.70 | $2.78 | 195 850 |
Sep 21, 2018 | $2.70 | $2.85 | $2.65 | $2.85 | 433 006 |
Sep 20, 2018 | $2.65 | $2.75 | $2.60 | $2.70 | 804 110 |
Sep 19, 2018 | $2.60 | $2.70 | $2.55 | $2.70 | 691 084 |
Sep 18, 2018 | $2.75 | $2.83 | $2.60 | $2.63 | 1 118 467 |
Sep 17, 2018 | $2.80 | $2.83 | $2.73 | $2.80 | 430 919 |
Sep 14, 2018 | $2.85 | $2.90 | $2.80 | $2.80 | 199 388 |
Sep 13, 2018 | $2.85 | $2.95 | $2.80 | $2.85 | 489 891 |
Sep 12, 2018 | $2.80 | $2.90 | $2.80 | $2.90 | 605 133 |
Sep 11, 2018 | $2.85 | $2.90 | $2.76 | $2.85 | 276 813 |
Sep 10, 2018 | $2.95 | $2.95 | $2.78 | $2.85 | 250 025 |
Sep 07, 2018 | $2.85 | $2.95 | $2.85 | $2.95 | 211 090 |
Sep 06, 2018 | $2.95 | $3.00 | $2.80 | $2.88 | 527 497 |
Sep 05, 2018 | $3.00 | $3.05 | $2.85 | $2.95 | 274 283 |
Sep 04, 2018 | $2.95 | $3.10 | $2.93 | $3.00 | 517 975 |
Aug 31, 2018 | $2.90 | $3.00 | $2.85 | $2.98 | 514 876 |
Aug 30, 2018 | $2.95 | $2.95 | $2.80 | $2.85 | 366 749 |
Aug 29, 2018 | $2.85 | $3.00 | $2.85 | $2.93 | 600 892 |
Aug 28, 2018 | $2.85 | $3.00 | $2.83 | $2.85 | 1 217 836 |
Aug 27, 2018 | $2.65 | $2.85 | $2.62 | $2.80 | 391 742 |
Aug 24, 2018 | $2.65 | $2.73 | $2.65 | $2.68 | 140 506 |
Aug 23, 2018 | $2.80 | $2.80 | $2.65 | $2.65 | 173 165 |
Aug 22, 2018 | $2.75 | $2.83 | $2.75 | $2.78 | 225 491 |
Aug 21, 2018 | $2.80 | $2.85 | $2.75 | $2.75 | 260 500 |
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.