NASDAQ:BSQR
Delisted
BSQUARE Corporation Stock Price (Quote)
$1.89
+0 (+0%)
At Close: Mar 06, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.89 | $1.89 | Wednesday, 6th Mar 2024 BSQR stock ended at $1.89. During the day the stock fluctuated 0% from a day low at $1.89 to a day high of $1.89. |
90 days | $1.89 | $1.90 | |
52 weeks | $1.05 | $1.90 |
Date | Open | High | Low | Close | Volume |
Dec 27, 2021 | $1.74 | $1.81 | $1.69 | $1.70 | 598 286 |
Dec 23, 2021 | $1.76 | $1.81 | $1.72 | $1.75 | 261 401 |
Dec 22, 2021 | $1.81 | $1.84 | $1.75 | $1.77 | 320 529 |
Dec 21, 2021 | $1.79 | $1.83 | $1.75 | $1.82 | 390 650 |
Dec 20, 2021 | $1.73 | $1.78 | $1.71 | $1.74 | 204 111 |
Dec 17, 2021 | $1.78 | $1.87 | $1.75 | $1.76 | 274 979 |
Dec 16, 2021 | $1.86 | $1.88 | $1.78 | $1.80 | 242 553 |
Dec 15, 2021 | $1.83 | $1.90 | $1.75 | $1.85 | 162 558 |
Dec 14, 2021 | $1.80 | $1.89 | $1.80 | $1.82 | 105 582 |
Dec 13, 2021 | $1.81 | $1.88 | $1.78 | $1.85 | 267 054 |
Dec 10, 2021 | $1.88 | $1.94 | $1.82 | $1.84 | 98 156 |
Dec 09, 2021 | $1.98 | $2.01 | $1.87 | $1.87 | 142 734 |
Dec 08, 2021 | $1.96 | $2.03 | $1.89 | $1.98 | 260 312 |
Dec 07, 2021 | $1.92 | $2.01 | $1.88 | $1.95 | 203 647 |
Dec 06, 2021 | $1.75 | $1.89 | $1.70 | $1.87 | 377 650 |
Dec 03, 2021 | $1.91 | $1.92 | $1.75 | $1.77 | 338 494 |
Dec 02, 2021 | $1.80 | $1.92 | $1.77 | $1.91 | 333 489 |
Dec 01, 2021 | $1.92 | $1.98 | $1.79 | $1.80 | 346 170 |
Nov 30, 2021 | $1.95 | $1.99 | $1.87 | $1.94 | 314 769 |
Nov 29, 2021 | $2.02 | $2.04 | $1.91 | $1.99 | 210 029 |
Nov 26, 2021 | $1.94 | $2.02 | $1.94 | $2.01 | 96 009 |
Nov 24, 2021 | $1.98 | $2.08 | $1.92 | $2.05 | 284 763 |
Nov 23, 2021 | $1.96 | $2.04 | $1.94 | $1.98 | 185 483 |
Nov 22, 2021 | $2.04 | $2.05 | $1.91 | $2.01 | 557 168 |
Nov 19, 2021 | $2.03 | $2.12 | $2.02 | $2.06 | 301 988 |
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 BSQR stock historical prices to predict future price movements?
Trend Analysis: Examine the BSQR 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 BSQR 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.