NASDAQ:DADA
Dada Nexus Limited Stock Price (Quote)
$1.86
-0.0300 (-1.59%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.80 | $2.23 | Tuesday, 21st May 2024 DADA stock ended at $1.86. This is 1.59% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 3.80% from a day low at $1.84 to a day high of $1.91. |
90 days | $1.80 | $2.83 | |
52 weeks | $1.36 | $6.94 |
Date | Open | High | Low | Close | Volume |
Feb 02, 2024 | $1.89 | $1.91 | $1.80 | $1.82 | 1 438 450 |
Feb 01, 2024 | $1.91 | $2.00 | $1.87 | $1.92 | 1 708 968 |
Jan 31, 2024 | $1.86 | $1.99 | $1.86 | $1.89 | 2 105 720 |
Jan 30, 2024 | $1.90 | $1.94 | $1.87 | $1.89 | 2 292 488 |
Jan 29, 2024 | $1.99 | $1.99 | $1.86 | $1.97 | 1 902 090 |
Jan 26, 2024 | $2.04 | $2.10 | $2.01 | $2.01 | 1 845 572 |
Jan 25, 2024 | $2.26 | $2.27 | $2.05 | $2.08 | 4 581 789 |
Jan 24, 2024 | $2.31 | $2.33 | $2.17 | $2.21 | 5 463 088 |
Jan 23, 2024 | $2.19 | $2.32 | $2.15 | $2.18 | 7 087 004 |
Jan 22, 2024 | $1.79 | $2.12 | $1.76 | $1.99 | 7 214 252 |
Jan 19, 2024 | $1.80 | $1.92 | $1.68 | $1.89 | 7 609 452 |
Jan 18, 2024 | $1.52 | $1.84 | $1.52 | $1.80 | 15 155 822 |
Jan 17, 2024 | $1.36 | $1.51 | $1.36 | $1.50 | 6 144 067 |
Jan 16, 2024 | $1.48 | $1.54 | $1.42 | $1.44 | 6 895 890 |
Jan 12, 2024 | $1.42 | $1.54 | $1.42 | $1.48 | 5 719 313 |
Jan 11, 2024 | $1.53 | $1.54 | $1.36 | $1.41 | 7 460 428 |
Jan 10, 2024 | $1.60 | $1.62 | $1.49 | $1.51 | 10 167 892 |
Jan 09, 2024 | $1.78 | $1.80 | $1.55 | $1.60 | 14 312 024 |
Jan 08, 2024 | $2.14 | $2.25 | $1.59 | $1.71 | 27 203 691 |
Jan 05, 2024 | $3.20 | $3.24 | $3.12 | $3.15 | 951 737 |
Jan 04, 2024 | $3.36 | $3.36 | $3.23 | $3.24 | 789 661 |
Jan 03, 2024 | $3.29 | $3.43 | $3.21 | $3.39 | 880 495 |
Jan 02, 2024 | $3.23 | $3.37 | $3.23 | $3.29 | 864 452 |
Dec 29, 2023 | $3.46 | $3.60 | $3.31 | $3.32 | 2 731 621 |
Dec 28, 2023 | $3.48 | $3.67 | $3.47 | $3.49 | 3 042 065 |
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 DADA stock historical prices to predict future price movements?
Trend Analysis: Examine the DADA 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 DADA 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.