NASDAQ:WIFI
Delisted
Boingo Wireless Stock Price (Quote)
$13.99
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $13.99 | $13.99 | Friday, 27th May 2022 WIFI stock ended at $13.99. During the day the stock fluctuated 0% from a day low at $13.99 to a day high of $13.99. |
90 days | $13.99 | $13.99 | |
52 weeks | $13.98 | $14.02 |
Date | Open | High | Low | Close | Volume |
Sep 25, 2018 | $32.29 | $33.47 | $31.84 | $33.11 | 385 394 |
Sep 24, 2018 | $32.42 | $33.00 | $31.85 | $32.24 | 296 369 |
Sep 21, 2018 | $32.52 | $33.72 | $32.36 | $32.42 | 433 802 |
Sep 20, 2018 | $32.75 | $32.85 | $32.12 | $32.47 | 247 324 |
Sep 19, 2018 | $34.55 | $34.72 | $32.58 | $32.71 | 396 492 |
Sep 18, 2018 | $34.14 | $35.06 | $34.01 | $34.84 | 284 765 |
Sep 17, 2018 | $34.55 | $34.65 | $32.98 | $33.99 | 541 967 |
Sep 14, 2018 | $34.39 | $35.98 | $33.98 | $34.58 | 901 505 |
Sep 13, 2018 | $33.53 | $34.57 | $33.11 | $34.38 | 262 871 |
Sep 12, 2018 | $33.28 | $33.49 | $32.65 | $33.29 | 249 502 |
Sep 11, 2018 | $33.16 | $33.87 | $32.91 | $33.35 | 253 550 |
Sep 10, 2018 | $33.22 | $33.69 | $33.08 | $33.37 | 252 416 |
Sep 07, 2018 | $32.68 | $33.94 | $32.67 | $32.93 | 366 423 |
Sep 06, 2018 | $32.27 | $32.49 | $31.97 | $32.03 | 227 802 |
Sep 05, 2018 | $33.42 | $33.88 | $30.70 | $32.16 | 485 100 |
Sep 04, 2018 | $33.16 | $34.01 | $33.16 | $33.38 | 445 564 |
Aug 31, 2018 | $32.33 | $33.27 | $32.32 | $33.08 | 218 567 |
Aug 30, 2018 | $32.40 | $32.96 | $31.85 | $32.36 | 357 283 |
Aug 29, 2018 | $32.07 | $32.51 | $31.68 | $32.31 | 225 765 |
Aug 28, 2018 | $31.86 | $32.17 | $31.63 | $32.07 | 187 982 |
Aug 27, 2018 | $31.45 | $32.02 | $31.40 | $31.81 | 164 736 |
Aug 24, 2018 | $31.23 | $31.80 | $30.82 | $31.77 | 191 228 |
Aug 23, 2018 | $31.56 | $31.61 | $30.97 | $31.23 | 157 406 |
Aug 22, 2018 | $32.42 | $32.49 | $31.35 | $31.46 | 310 434 |
Aug 21, 2018 | $31.53 | $32.81 | $31.35 | $32.48 | 400 349 |
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 WIFI stock historical prices to predict future price movements?
Trend Analysis: Examine the WIFI 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 WIFI 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.