NASDAQ:BNFT
Delisted
Benefitfocus Stock Price (Quote)
$10.50
+0 (+0%)
At Close: Apr 21, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $10.50 | $10.50 | Friday, 21st Apr 2023 BNFT stock ended at $10.50. During the day the stock fluctuated 0% from a day low at $10.50 to a day high of $10.50. |
90 days | $10.49 | $10.50 | |
52 weeks | $5.69 | $11.95 |
Date | Open | High | Low | Close | Volume |
Jun 15, 2016 | $39.67 | $40.34 | $39.52 | $39.67 | 120 824 |
Jun 14, 2016 | $39.44 | $40.05 | $39.35 | $39.96 | 187 949 |
Jun 13, 2016 | $39.27 | $40.06 | $39.27 | $39.60 | 173 789 |
Jun 10, 2016 | $38.82 | $39.81 | $38.49 | $39.23 | 153 263 |
Jun 09, 2016 | $39.53 | $39.91 | $39.08 | $39.54 | 197 672 |
Jun 08, 2016 | $38.20 | $39.90 | $37.91 | $39.71 | 211 626 |
Jun 07, 2016 | $37.49 | $38.22 | $37.36 | $38.15 | 208 316 |
Jun 06, 2016 | $37.78 | $38.32 | $37.29 | $37.48 | 180 240 |
Jun 03, 2016 | $37.60 | $37.97 | $36.90 | $37.72 | 119 076 |
Jun 02, 2016 | $36.90 | $38.14 | $36.59 | $37.82 | 124 165 |
Jun 01, 2016 | $36.43 | $37.30 | $35.67 | $36.98 | 236 744 |
May 31, 2016 | $37.00 | $37.55 | $36.42 | $36.71 | 161 393 |
May 27, 2016 | $35.78 | $36.98 | $35.57 | $36.94 | 165 458 |
May 26, 2016 | $35.88 | $36.16 | $35.14 | $35.87 | 151 893 |
May 25, 2016 | $35.82 | $36.04 | $34.99 | $35.78 | 177 565 |
May 24, 2016 | $34.77 | $35.84 | $34.50 | $35.62 | 163 819 |
May 23, 2016 | $34.72 | $35.55 | $34.13 | $34.40 | 151 157 |
May 20, 2016 | $34.10 | $35.18 | $33.95 | $35.11 | 146 133 |
May 19, 2016 | $34.48 | $35.26 | $33.28 | $34.07 | 118 077 |
May 18, 2016 | $33.76 | $35.47 | $32.76 | $34.60 | 148 163 |
May 17, 2016 | $34.65 | $35.13 | $33.85 | $33.93 | 107 004 |
May 16, 2016 | $34.00 | $35.32 | $33.84 | $34.61 | 164 938 |
May 13, 2016 | $33.88 | $35.30 | $33.56 | $33.77 | 184 133 |
May 12, 2016 | $34.34 | $34.66 | $32.86 | $33.90 | 210 586 |
May 11, 2016 | $33.69 | $36.12 | $33.52 | $34.27 | 249 021 |
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 BNFT stock historical prices to predict future price movements?
Trend Analysis: Examine the BNFT 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 BNFT 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.