Beijing SuperMap Software Co., Ltd. Stock Price (Quote)
¥14.04
-0.690 (-4.68%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥14.00 | ¥17.44 | Friday, 24th May 2024 300036.SZ stock ended at ¥14.04. This is 4.68% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 9.79% from a day low at ¥14.00 to a day high of ¥15.37. |
90 days | ¥14.00 | ¥19.50 | |
52 weeks | ¥12.30 | ¥24.17 |
Date | Open | High | Low | Close | Volume |
Sep 01, 2023 | ¥22.90 | ¥22.98 | ¥22.12 | ¥22.23 | 11 345 270 |
Aug 31, 2023 | ¥23.35 | ¥23.37 | ¥22.94 | ¥23.01 | 14 060 955 |
Aug 30, 2023 | ¥21.68 | ¥23.90 | ¥21.68 | ¥23.46 | 25 608 724 |
Aug 29, 2023 | ¥20.26 | ¥21.90 | ¥20.20 | ¥21.79 | 13 778 587 |
Aug 28, 2023 | ¥21.80 | ¥21.98 | ¥20.16 | ¥20.22 | 11 613 777 |
Aug 25, 2023 | ¥21.20 | ¥21.43 | ¥20.35 | ¥20.50 | 11 357 654 |
Aug 24, 2023 | ¥22.23 | ¥22.41 | ¥21.39 | ¥21.52 | 11 170 810 |
Aug 23, 2023 | ¥22.65 | ¥22.73 | ¥22.06 | ¥22.19 | 9 831 420 |
Aug 22, 2023 | ¥21.41 | ¥22.59 | ¥21.30 | ¥22.53 | 17 055 047 |
Aug 21, 2023 | ¥21.56 | ¥22.07 | ¥21.21 | ¥21.21 | 7 789 993 |
Aug 18, 2023 | ¥22.72 | ¥23.10 | ¥21.50 | ¥21.55 | 11 426 250 |
Aug 17, 2023 | ¥21.81 | ¥22.96 | ¥21.65 | ¥22.75 | 11 081 321 |
Aug 16, 2023 | ¥22.51 | ¥22.60 | ¥21.96 | ¥22.02 | 8 376 624 |
Aug 15, 2023 | ¥23.38 | ¥23.55 | ¥22.13 | ¥22.46 | 16 059 693 |
Aug 14, 2023 | ¥22.68 | ¥23.62 | ¥22.51 | ¥23.61 | 11 365 455 |
Aug 11, 2023 | ¥23.75 | ¥23.78 | ¥22.80 | ¥22.86 | 8 866 081 |
Aug 10, 2023 | ¥22.90 | ¥23.88 | ¥22.82 | ¥23.67 | 15 526 873 |
Aug 09, 2023 | ¥23.40 | ¥23.60 | ¥22.89 | ¥23.05 | 11 223 679 |
Aug 08, 2023 | ¥23.00 | ¥23.65 | ¥22.96 | ¥23.45 | 15 323 532 |
Aug 07, 2023 | ¥23.07 | ¥23.57 | ¥22.99 | ¥23.13 | 17 048 951 |
Aug 04, 2023 | ¥22.09 | ¥23.25 | ¥22.01 | ¥23.00 | 21 396 753 |
Aug 03, 2023 | ¥22.22 | ¥22.35 | ¥21.91 | ¥22.00 | 8 942 532 |
Aug 02, 2023 | ¥22.44 | ¥22.73 | ¥22.37 | ¥22.53 | 7 932 134 |
Aug 01, 2023 | ¥22.38 | ¥22.56 | ¥22.00 | ¥22.44 | 7 290 090 |
Jul 31, 2023 | ¥22.44 | ¥22.76 | ¥22.22 | ¥22.29 | 9 659 483 |
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 300036.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300036.SZ 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 300036.SZ 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.