NASDAQ:WB
Weibo Corporation Stock Price (Quote)
$9.36
-0.300 (-3.11%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $7.84 | $10.25 | Monday, 20th May 2024 WB stock ended at $9.36. This is 3.11% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 4.14% from a day low at $9.30 to a day high of $9.68. |
90 days | $7.58 | $10.29 | |
52 weeks | $7.58 | $17.22 |
Date | Open | High | Low | Close | Volume |
Feb 01, 2024 | $8.19 | $8.60 | $8.17 | $8.52 | 1 661 603 |
Jan 31, 2024 | $8.00 | $8.32 | $7.85 | $8.10 | 1 749 551 |
Jan 30, 2024 | $8.15 | $8.23 | $8.09 | $8.10 | 799 652 |
Jan 29, 2024 | $8.29 | $8.31 | $8.16 | $8.26 | 934 251 |
Jan 26, 2024 | $8.36 | $8.45 | $8.15 | $8.32 | 1 242 345 |
Jan 25, 2024 | $8.71 | $8.80 | $8.45 | $8.52 | 2 334 005 |
Jan 24, 2024 | $9.09 | $9.13 | $8.66 | $8.67 | 1 774 564 |
Jan 23, 2024 | $8.83 | $9.29 | $8.52 | $8.65 | 2 836 641 |
Jan 22, 2024 | $7.90 | $8.42 | $7.85 | $8.37 | 3 414 846 |
Jan 19, 2024 | $8.00 | $8.21 | $7.84 | $8.12 | 2 109 527 |
Jan 18, 2024 | $8.39 | $8.39 | $8.17 | $8.23 | 2 480 147 |
Jan 17, 2024 | $8.35 | $8.35 | $8.12 | $8.27 | 3 100 955 |
Jan 16, 2024 | $8.92 | $8.99 | $8.56 | $8.61 | 2 011 876 |
Jan 12, 2024 | $9.21 | $9.47 | $9.02 | $9.03 | 1 366 160 |
Jan 11, 2024 | $9.33 | $9.34 | $8.78 | $9.13 | 3 482 374 |
Jan 10, 2024 | $9.62 | $9.76 | $9.55 | $9.55 | 880 556 |
Jan 09, 2024 | $9.85 | $9.87 | $9.53 | $9.62 | 1 770 709 |
Jan 08, 2024 | $9.88 | $10.07 | $9.66 | $9.93 | 1 138 499 |
Jan 05, 2024 | $10.33 | $10.43 | $10.03 | $10.11 | 1 094 444 |
Jan 04, 2024 | $10.49 | $10.53 | $10.36 | $10.42 | 969 122 |
Jan 03, 2024 | $10.41 | $10.67 | $10.30 | $10.55 | 1 839 129 |
Jan 02, 2024 | $10.74 | $10.87 | $10.45 | $10.53 | 1 543 321 |
Dec 29, 2023 | $10.87 | $11.03 | $10.82 | $10.95 | 2 304 503 |
Dec 28, 2023 | $10.70 | $11.01 | $10.66 | $10.86 | 1 666 492 |
Dec 27, 2023 | $10.48 | $10.69 | $10.38 | $10.48 | 1 415 014 |
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 WB stock historical prices to predict future price movements?
Trend Analysis: Examine the WB 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 WB 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.