NYSE:DAO
Youdao, Inc. Stock Price (Quote)
$3.63
-0.0400 (-1.09%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.45 | $4.05 | Tuesday, 28th May 2024 DAO stock ended at $3.63. This is 1.09% less than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 7.58% from a day low at $3.56 to a day high of $3.83. |
90 days | $3.45 | $4.63 | |
52 weeks | $2.94 | $5.64 |
Historical Youdao, Inc. prices
Date | Open | High | Low | Close | Volume |
Aug 10, 2023 | $4.20 | $4.22 | $3.95 | $4.02 | 173 416 |
Aug 09, 2023 | $4.35 | $4.31 | $4.00 | $4.05 | 335 473 |
Aug 08, 2023 | $4.38 | $4.46 | $4.23 | $4.31 | 136 063 |
Aug 07, 2023 | $4.71 | $4.80 | $4.41 | $4.49 | 214 355 |
Aug 04, 2023 | $4.81 | $4.92 | $4.64 | $4.70 | 110 344 |
Aug 03, 2023 | $4.72 | $4.87 | $4.74 | $4.81 | 357 130 |
Aug 02, 2023 | $4.87 | $4.87 | $4.60 | $4.65 | 214 327 |
Aug 01, 2023 | $4.95 | $5.05 | $4.84 | $4.90 | 246 563 |
Jul 31, 2023 | $5.33 | $5.50 | $4.92 | $4.94 | 516 686 |
Jul 28, 2023 | $4.70 | $5.38 | $4.69 | $5.31 | 541 648 |
Jul 27, 2023 | $4.82 | $4.84 | $4.46 | $4.58 | 168 778 |
Jul 26, 2023 | $4.65 | $4.76 | $4.54 | $4.76 | 309 471 |
Jul 25, 2023 | $4.67 | $4.72 | $4.48 | $4.50 | 586 514 |
Jul 24, 2023 | $4.32 | $4.69 | $4.32 | $4.50 | 595 307 |
Jul 21, 2023 | $4.56 | $4.56 | $4.32 | $4.37 | 115 243 |
Jul 20, 2023 | $4.54 | $4.59 | $4.46 | $4.47 | 100 824 |
Jul 19, 2023 | $4.62 | $4.70 | $4.48 | $4.54 | 155 195 |
Jul 18, 2023 | $4.60 | $4.68 | $4.55 | $4.60 | 340 926 |
Jul 17, 2023 | $4.80 | $4.80 | $4.61 | $4.64 | 103 365 |
Jul 14, 2023 | $4.85 | $4.85 | $4.61 | $4.80 | 121 147 |
Jul 13, 2023 | $4.79 | $4.85 | $4.76 | $4.77 | 289 814 |
Jul 12, 2023 | $4.74 | $4.83 | $4.70 | $4.78 | 128 119 |
Jul 11, 2023 | $4.67 | $4.80 | $4.60 | $4.65 | 60 643 |
Jul 10, 2023 | $4.71 | $4.83 | $4.62 | $4.66 | 53 165 |
Jul 07, 2023 | $4.83 | $5.13 | $4.65 | $4.67 | 251 321 |
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 DAO stock historical prices to predict future price movements?
Trend Analysis: Examine the DAO 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 DAO 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.