NYSE:BPI
Delisted
Bridgepoint Education Inc Stock Price (Quote)
$1.11
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.11 | $1.11 | Wednesday, 20th Jul 2022 BPI stock ended at $1.11. During the day the stock fluctuated 0% from a day low at $1.11 to a day high of $1.11. |
90 days | $1.11 | $1.11 | |
52 weeks | $1.00 | $3.00 |
Date | Open | High | Low | Close | Volume |
Aug 26, 2021 | $2.30 | $2.50 | $2.30 | $2.49 | 176 064 |
Aug 25, 2021 | $2.27 | $2.34 | $2.27 | $2.28 | 52 430 |
Aug 24, 2021 | $2.32 | $2.37 | $2.26 | $2.27 | 50 665 |
Aug 23, 2021 | $2.27 | $2.37 | $2.26 | $2.34 | 107 708 |
Aug 20, 2021 | $2.16 | $2.29 | $2.16 | $2.26 | 86 059 |
Aug 19, 2021 | $2.26 | $2.30 | $2.13 | $2.15 | 72 785 |
Aug 18, 2021 | $2.21 | $2.34 | $2.18 | $2.26 | 93 449 |
Aug 17, 2021 | $2.23 | $2.26 | $2.13 | $2.21 | 126 491 |
Aug 16, 2021 | $2.36 | $2.43 | $2.26 | $2.27 | 81 063 |
Aug 13, 2021 | $2.67 | $2.68 | $2.37 | $2.38 | 250 416 |
Aug 12, 2021 | $2.44 | $2.75 | $2.41 | $2.65 | 249 263 |
Aug 11, 2021 | $2.46 | $2.59 | $2.43 | $2.44 | 57 210 |
Aug 10, 2021 | $2.46 | $2.55 | $2.44 | $2.53 | 102 544 |
Aug 09, 2021 | $2.33 | $2.54 | $2.28 | $2.49 | 179 790 |
Aug 06, 2021 | $2.24 | $2.35 | $2.22 | $2.34 | 93 594 |
Aug 05, 2021 | $2.28 | $2.37 | $2.26 | $2.27 | 116 584 |
Aug 04, 2021 | $2.38 | $2.39 | $2.23 | $2.27 | 151 130 |
Aug 03, 2021 | $2.49 | $2.51 | $2.34 | $2.35 | 103 894 |
Aug 02, 2021 | $2.40 | $2.53 | $2.40 | $2.49 | 162 330 |
Jul 30, 2021 | $2.57 | $2.61 | $2.43 | $2.45 | 90 001 |
Jul 29, 2021 | $2.59 | $2.72 | $2.49 | $2.58 | 155 198 |
Jul 28, 2021 | $2.51 | $2.60 | $2.40 | $2.56 | 171 350 |
Jul 27, 2021 | $2.76 | $2.76 | $2.50 | $2.50 | 183 266 |
Jul 26, 2021 | $2.89 | $2.97 | $2.65 | $2.65 | 195 959 |
Jul 23, 2021 | $2.80 | $2.92 | $2.72 | $2.90 | 220 398 |
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 BPI stock historical prices to predict future price movements?
Trend Analysis: Examine the BPI 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 BPI 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.