NASDAQ:BSFT
Delisted
BroadSoft Fund Price (Quote)
$54.90
+0 (+0%)
At Close: Apr 17, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $54.90 | $54.90 | Tuesday, 17th Apr 2018 BSFT stock ended at $54.90. During the day the stock fluctuated 0% from a day low at $54.90 to a day high of $54.90. |
90 days | $54.90 | $55.00 | |
52 weeks | $33.85 | $55.05 |
Date | Open | High | Low | Close | Volume |
Aug 07, 2017 | $42.25 | $45.40 | $41.50 | $45.30 | 567 064 |
Aug 04, 2017 | $43.80 | $43.85 | $42.10 | $42.75 | 958 604 |
Aug 03, 2017 | $43.60 | $44.05 | $43.40 | $43.65 | 243 050 |
Aug 02, 2017 | $43.95 | $43.95 | $43.20 | $43.60 | 220 613 |
Aug 01, 2017 | $44.25 | $44.85 | $43.75 | $43.90 | 379 669 |
Jul 31, 2017 | $44.05 | $44.30 | $43.40 | $44.05 | 347 358 |
Jul 28, 2017 | $43.20 | $44.15 | $43.00 | $44.10 | 390 853 |
Jul 27, 2017 | $43.65 | $44.25 | $42.75 | $43.25 | 254 289 |
Jul 26, 2017 | $43.55 | $43.60 | $43.05 | $43.55 | 170 868 |
Jul 25, 2017 | $43.25 | $43.80 | $43.10 | $43.50 | 233 270 |
Jul 24, 2017 | $42.55 | $43.25 | $42.45 | $43.10 | 100 557 |
Jul 21, 2017 | $43.05 | $43.10 | $42.55 | $42.65 | 126 627 |
Jul 20, 2017 | $43.05 | $43.30 | $42.65 | $42.85 | 210 934 |
Jul 19, 2017 | $42.70 | $43.45 | $42.70 | $42.90 | 350 372 |
Jul 18, 2017 | $42.55 | $42.75 | $42.05 | $42.70 | 301 227 |
Jul 17, 2017 | $42.35 | $43.00 | $42.10 | $42.75 | 281 986 |
Jul 14, 2017 | $42.25 | $42.75 | $42.05 | $42.30 | 387 250 |
Jul 13, 2017 | $42.65 | $42.72 | $42.00 | $42.20 | 402 682 |
Jul 12, 2017 | $42.55 | $43.00 | $42.30 | $42.55 | 462 850 |
Jul 11, 2017 | $42.15 | $42.45 | $41.80 | $42.25 | 432 295 |
Jul 10, 2017 | $42.25 | $42.80 | $42.05 | $42.10 | 289 673 |
Jul 07, 2017 | $42.00 | $42.80 | $41.90 | $42.15 | 448 519 |
Jul 06, 2017 | $42.55 | $42.85 | $42.05 | $42.20 | 293 787 |
Jul 05, 2017 | $42.55 | $43.28 | $42.35 | $43.00 | 203 297 |
Jul 03, 2017 | $43.30 | $43.35 | $42.50 | $42.60 | 244 773 |
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 BSFT stock historical prices to predict future price movements?
Trend Analysis: Examine the BSFT 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 BSFT 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.