NASDAQ:BIOS
Delisted
BioScrip Stock Price (Quote)
$10.80
+0 (+0%)
At Close: Jan 05, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $10.80 | $10.80 | Friday, 5th Jan 2024 BIOS stock ended at $10.80. During the day the stock fluctuated 0% from a day low at $10.80 to a day high of $10.80. |
90 days | $10.80 | $10.80 | |
52 weeks | $10.28 | $11.68 |
Historical BioScrip prices
Date | Open | High | Low | Close | Volume |
Apr 05, 2017 | $1.54 | $1.60 | $1.40 | $1.43 | 2 756 325 |
Apr 04, 2017 | $1.60 | $1.63 | $1.49 | $1.51 | 4 494 824 |
Apr 03, 2017 | $1.69 | $1.70 | $1.59 | $1.61 | 1 198 507 |
Mar 31, 2017 | $1.74 | $1.77 | $1.69 | $1.70 | 1 160 575 |
Mar 30, 2017 | $1.76 | $1.78 | $1.69 | $1.73 | 942 343 |
Mar 29, 2017 | $1.70 | $1.80 | $1.62 | $1.76 | 3 097 425 |
Mar 28, 2017 | $1.77 | $1.82 | $1.67 | $1.70 | 3 516 145 |
Mar 27, 2017 | $1.86 | $1.86 | $1.77 | $1.78 | 887 221 |
Mar 24, 2017 | $1.79 | $1.85 | $1.75 | $1.82 | 587 653 |
Mar 23, 2017 | $1.77 | $1.83 | $1.72 | $1.77 | 1 043 958 |
Mar 22, 2017 | $1.78 | $1.80 | $1.70 | $1.77 | 969 907 |
Mar 21, 2017 | $1.93 | $1.94 | $1.78 | $1.79 | 2 379 351 |
Mar 20, 2017 | $2.03 | $2.05 | $1.89 | $1.93 | 1 449 702 |
Mar 17, 2017 | $2.02 | $2.10 | $1.96 | $2.03 | 1 748 870 |
Mar 16, 2017 | $2.10 | $2.13 | $2.01 | $2.03 | 1 132 374 |
Mar 15, 2017 | $2.02 | $2.16 | $1.99 | $2.08 | 2 448 448 |
Mar 14, 2017 | $1.98 | $2.02 | $1.91 | $2.00 | 1 192 120 |
Mar 13, 2017 | $2.02 | $2.13 | $1.93 | $1.99 | 1 602 641 |
Mar 10, 2017 | $2.00 | $2.09 | $1.96 | $2.03 | 2 045 924 |
Mar 09, 2017 | $1.98 | $2.10 | $1.85 | $1.99 | 3 412 691 |
Mar 08, 2017 | $2.04 | $2.23 | $1.99 | $1.99 | 3 208 082 |
Mar 07, 2017 | $2.11 | $2.16 | $1.94 | $2.01 | 5 378 007 |
Mar 06, 2017 | $1.85 | $2.33 | $1.82 | $2.27 | 16 501 382 |
Mar 03, 2017 | $1.77 | $1.94 | $1.66 | $1.84 | 12 927 147 |
Mar 02, 2017 | $1.51 | $1.56 | $1.38 | $1.46 | 4 249 277 |
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 BIOS stock historical prices to predict future price movements?
Trend Analysis: Examine the BIOS 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 BIOS 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.