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 |
Jan 24, 2017 | $1.31 | $1.33 | $1.23 | $1.33 | 696 037 |
Jan 23, 2017 | $1.24 | $1.36 | $1.21 | $1.28 | 1 991 847 |
Jan 20, 2017 | $1.33 | $1.34 | $1.22 | $1.26 | 1 693 814 |
Jan 19, 2017 | $1.41 | $1.44 | $1.30 | $1.31 | 1 411 637 |
Jan 18, 2017 | $1.57 | $1.62 | $1.40 | $1.41 | 1 693 241 |
Jan 17, 2017 | $1.64 | $1.64 | $1.55 | $1.58 | 2 504 773 |
Jan 13, 2017 | $1.57 | $1.79 | $1.54 | $1.63 | 4 895 541 |
Jan 12, 2017 | $1.64 | $1.64 | $1.55 | $1.58 | 2 878 472 |
Jan 11, 2017 | $1.58 | $1.71 | $1.56 | $1.64 | 5 274 399 |
Jan 10, 2017 | $1.56 | $1.62 | $1.54 | $1.58 | 1 116 247 |
Jan 09, 2017 | $1.51 | $1.63 | $1.45 | $1.57 | 3 467 866 |
Jan 06, 2017 | $1.33 | $1.72 | $1.32 | $1.51 | 4 816 931 |
Jan 05, 2017 | $1.58 | $1.58 | $1.26 | $1.35 | 3 629 891 |
Jan 04, 2017 | $1.35 | $1.59 | $1.30 | $1.56 | 6 342 735 |
Jan 03, 2017 | $1.09 | $1.44 | $1.07 | $1.39 | 11 015 870 |
Dec 30, 2016 | $1.02 | $1.05 | $1.00 | $1.04 | 1 603 771 |
Dec 29, 2016 | $1.02 | $1.04 | $0.98 | $1.02 | 1 438 422 |
Dec 28, 2016 | $1.05 | $1.09 | $1.03 | $1.03 | 924 488 |
Dec 27, 2016 | $1.03 | $1.09 | $1.03 | $1.05 | 1 090 195 |
Dec 23, 2016 | $1.01 | $1.05 | $1.00 | $1.03 | 908 157 |
Dec 22, 2016 | $1.04 | $1.06 | $0.99 | $1.02 | 1 740 502 |
Dec 21, 2016 | $1.09 | $1.11 | $1.02 | $1.03 | 1 180 790 |
Dec 20, 2016 | $1.04 | $1.09 | $1.02 | $1.08 | 1 270 582 |
Dec 19, 2016 | $1.07 | $1.07 | $1.00 | $1.04 | 971 141 |
Dec 16, 2016 | $1.08 | $1.09 | $0.98 | $1.05 | 2 637 099 |
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.