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 |
Oct 17, 2017 | $53.35 | $54.17 | $52.60 | $53.65 | 319 399 |
Oct 16, 2017 | $53.30 | $53.85 | $53.10 | $53.25 | 363 226 |
Oct 13, 2017 | $53.80 | $53.80 | $52.85 | $53.15 | 163 989 |
Oct 12, 2017 | $53.45 | $53.90 | $52.60 | $53.55 | 280 974 |
Oct 11, 2017 | $53.45 | $53.85 | $52.95 | $53.55 | 191 527 |
Oct 10, 2017 | $54.10 | $54.10 | $53.35 | $53.50 | 153 643 |
Oct 09, 2017 | $54.45 | $54.45 | $52.60 | $53.75 | 165 276 |
Oct 06, 2017 | $54.15 | $54.70 | $52.60 | $54.45 | 265 002 |
Oct 05, 2017 | $53.70 | $54.35 | $53.25 | $54.25 | 259 688 |
Oct 04, 2017 | $53.15 | $54.20 | $52.95 | $53.55 | 992 032 |
Oct 03, 2017 | $51.70 | $51.95 | $51.05 | $51.40 | 316 099 |
Oct 02, 2017 | $50.40 | $51.85 | $50.40 | $51.70 | 280 132 |
Sep 29, 2017 | $50.05 | $50.45 | $49.95 | $50.30 | 127 323 |
Sep 28, 2017 | $50.30 | $50.75 | $49.75 | $50.05 | 142 373 |
Sep 27, 2017 | $50.35 | $51.15 | $50.00 | $50.35 | 221 924 |
Sep 26, 2017 | $50.30 | $50.58 | $49.85 | $50.10 | 149 054 |
Sep 25, 2017 | $50.25 | $50.45 | $49.60 | $50.00 | 318 134 |
Sep 22, 2017 | $50.15 | $50.47 | $49.62 | $49.75 | 248 650 |
Sep 21, 2017 | $50.15 | $50.20 | $49.55 | $50.00 | 260 948 |
Sep 20, 2017 | $50.80 | $50.80 | $49.90 | $50.00 | 212 875 |
Sep 19, 2017 | $52.00 | $52.00 | $50.35 | $50.75 | 532 614 |
Sep 18, 2017 | $51.50 | $52.15 | $51.45 | $51.75 | 503 583 |
Sep 15, 2017 | $50.90 | $51.60 | $50.55 | $51.55 | 501 356 |
Sep 14, 2017 | $50.30 | $51.05 | $49.80 | $51.05 | 634 666 |
Sep 13, 2017 | $49.95 | $50.53 | $49.76 | $50.50 | 503 453 |
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.