NASDAQ:HSAI
Hesai Group Stock Price (Quote)
$5.26
+0.110 (+2.14%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.84 | $5.57 | Monday, 20th May 2024 HSAI stock ended at $5.26. This is 2.14% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 7.64% from a day low at $5.17 to a day high of $5.57. |
90 days | $3.57 | $6.07 | |
52 weeks | $3.28 | $13.70 |
Date | Open | High | Low | Close | Volume |
May 20, 2024 | $5.47 | $5.57 | $5.17 | $5.26 | 1 473 941 |
May 17, 2024 | $5.19 | $5.39 | $5.02 | $5.15 | 1 166 603 |
May 16, 2024 | $5.38 | $5.38 | $5.08 | $5.15 | 452 374 |
May 15, 2024 | $5.38 | $5.43 | $5.10 | $5.33 | 426 425 |
May 14, 2024 | $5.19 | $5.37 | $4.91 | $5.32 | 789 990 |
May 13, 2024 | $5.02 | $5.56 | $5.02 | $5.39 | 800 181 |
May 10, 2024 | $5.25 | $5.30 | $4.83 | $4.96 | 690 211 |
May 09, 2024 | $5.40 | $5.44 | $5.08 | $5.15 | 421 850 |
May 08, 2024 | $5.03 | $5.38 | $4.85 | $5.37 | 693 010 |
May 07, 2024 | $5.01 | $5.16 | $4.83 | $5.03 | 403 296 |
May 06, 2024 | $5.19 | $5.38 | $5.01 | $5.07 | 472 396 |
May 03, 2024 | $5.02 | $5.25 | $5.01 | $5.20 | 612 656 |
May 02, 2024 | $4.92 | $5.09 | $4.74 | $5.09 | 746 848 |
May 01, 2024 | $4.65 | $4.82 | $4.56 | $4.68 | 500 319 |
Apr 30, 2024 | $4.66 | $4.72 | $4.56 | $4.66 | 444 110 |
Apr 29, 2024 | $4.55 | $4.75 | $4.55 | $4.75 | 673 232 |
Apr 26, 2024 | $4.26 | $4.47 | $4.09 | $4.40 | 535 939 |
Apr 25, 2024 | $4.18 | $4.21 | $4.09 | $4.17 | 224 689 |
Apr 24, 2024 | $4.30 | $4.40 | $4.18 | $4.28 | 256 275 |
Apr 23, 2024 | $4.02 | $4.35 | $4.00 | $4.24 | 296 186 |
Apr 22, 2024 | $3.97 | $4.14 | $3.84 | $4.04 | 376 807 |
Apr 19, 2024 | $4.25 | $4.29 | $3.95 | $3.97 | 330 869 |
Apr 18, 2024 | $4.38 | $4.41 | $4.25 | $4.28 | 281 525 |
Apr 17, 2024 | $4.21 | $4.35 | $4.18 | $4.31 | 625 855 |
Apr 16, 2024 | $4.45 | $4.45 | $4.11 | $4.11 | 650 436 |
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 HSAI stock historical prices to predict future price movements?
Trend Analysis: Examine the HSAI 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 HSAI 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.