SZCE:000931
Beijing Centergate Tech. (Holding) Co. Stock Price (Quote)
¥4.44
+0.0400 (+0.91%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥3.70 | ¥4.55 | Thursday, 16th May 2024 000931.SZ stock ended at ¥4.44. This is 0.91% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 2.04% from a day low at ¥4.42 to a day high of ¥4.51. |
90 days | ¥3.65 | ¥4.78 | |
52 weeks | ¥3.27 | ¥6.52 |
Date | Open | High | Low | Close | Volume |
Sep 28, 2023 | ¥6.06 | ¥6.08 | ¥6.03 | ¥6.07 | 4 527 007 |
Sep 27, 2023 | ¥6.02 | ¥6.06 | ¥5.97 | ¥6.05 | 5 647 524 |
Sep 26, 2023 | ¥6.00 | ¥6.04 | ¥5.97 | ¥6.02 | 3 610 611 |
Sep 25, 2023 | ¥5.99 | ¥6.04 | ¥5.93 | ¥6.02 | 5 616 744 |
Sep 22, 2023 | ¥5.89 | ¥5.97 | ¥5.88 | ¥5.97 | 3 802 130 |
Sep 21, 2023 | ¥5.94 | ¥5.98 | ¥5.90 | ¥5.92 | 3 099 526 |
Sep 20, 2023 | ¥5.95 | ¥6.02 | ¥5.95 | ¥5.98 | 3 778 142 |
Sep 19, 2023 | ¥5.97 | ¥6.01 | ¥5.94 | ¥5.97 | 5 112 264 |
Sep 18, 2023 | ¥5.93 | ¥5.97 | ¥5.90 | ¥5.96 | 5 260 266 |
Sep 15, 2023 | ¥5.85 | ¥5.95 | ¥5.83 | ¥5.94 | 5 547 812 |
Sep 14, 2023 | ¥5.83 | ¥5.88 | ¥5.80 | ¥5.84 | 3 221 616 |
Sep 13, 2023 | ¥5.90 | ¥5.92 | ¥5.80 | ¥5.83 | 4 010 160 |
Sep 12, 2023 | ¥5.89 | ¥5.95 | ¥5.87 | ¥5.90 | 4 311 505 |
Sep 11, 2023 | ¥5.79 | ¥5.93 | ¥5.78 | ¥5.91 | 6 025 390 |
Sep 08, 2023 | ¥5.77 | ¥5.83 | ¥5.75 | ¥5.80 | 5 559 952 |
Sep 07, 2023 | ¥5.82 | ¥5.86 | ¥5.79 | ¥5.79 | 4 749 227 |
Sep 06, 2023 | ¥5.88 | ¥5.89 | ¥5.80 | ¥5.83 | 6 368 774 |
Sep 05, 2023 | ¥5.94 | ¥5.94 | ¥5.86 | ¥5.88 | 8 628 074 |
Sep 04, 2023 | ¥5.97 | ¥5.98 | ¥5.88 | ¥5.96 | 8 435 202 |
Sep 01, 2023 | ¥5.98 | ¥6.01 | ¥5.91 | ¥5.97 | 6 467 326 |
Aug 31, 2023 | ¥6.04 | ¥6.07 | ¥5.93 | ¥5.98 | 6 946 993 |
Aug 30, 2023 | ¥6.10 | ¥6.14 | ¥6.05 | ¥6.08 | 7 562 832 |
Aug 29, 2023 | ¥5.98 | ¥6.13 | ¥5.97 | ¥6.13 | 11 433 280 |
Aug 28, 2023 | ¥6.18 | ¥6.27 | ¥6.00 | ¥6.02 | 19 355 453 |
Aug 25, 2023 | ¥5.92 | ¥6.13 | ¥5.92 | ¥5.95 | 19 640 357 |
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 000931.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000931.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 000931.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.