SZCE:000931
Beijing Centergate Tech. (Holding) Co. Stock Price (Quote)
¥4.52
+0.0800 (+1.80%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥3.73 | ¥4.55 | Friday, 17th May 2024 000931.SZ stock ended at ¥4.52. This is 1.80% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.26% from a day low at ¥4.42 to a day high of ¥4.52. |
90 days | ¥3.65 | ¥4.78 | |
52 weeks | ¥3.27 | ¥6.52 |
Date | Open | High | Low | Close | Volume |
Jan 03, 2022 | ¥7.67 | ¥7.67 | ¥7.67 | ¥7.67 | 0 |
Dec 31, 2021 | ¥7.53 | ¥7.76 | ¥7.47 | ¥7.67 | 17 364 925 |
Dec 30, 2021 | ¥7.32 | ¥7.74 | ¥7.30 | ¥7.50 | 24 751 339 |
Dec 29, 2021 | ¥7.26 | ¥7.32 | ¥7.21 | ¥7.31 | 5 257 498 |
Dec 28, 2021 | ¥7.28 | ¥7.33 | ¥7.24 | ¥7.26 | 6 856 373 |
Dec 27, 2021 | ¥7.23 | ¥7.34 | ¥7.18 | ¥7.33 | 10 803 940 |
Dec 24, 2021 | ¥7.18 | ¥7.30 | ¥7.14 | ¥7.22 | 8 998 982 |
Dec 23, 2021 | ¥7.21 | ¥7.28 | ¥7.18 | ¥7.18 | 7 223 934 |
Dec 22, 2021 | ¥7.35 | ¥7.35 | ¥7.23 | ¥7.24 | 9 735 981 |
Dec 21, 2021 | ¥7.19 | ¥7.42 | ¥7.18 | ¥7.34 | 13 819 330 |
Dec 20, 2021 | ¥7.16 | ¥7.37 | ¥7.12 | ¥7.20 | 14 254 716 |
Dec 17, 2021 | ¥7.21 | ¥7.23 | ¥7.11 | ¥7.18 | 9 365 964 |
Dec 16, 2021 | ¥7.07 | ¥7.24 | ¥7.03 | ¥7.19 | 15 014 983 |
Dec 15, 2021 | ¥7.07 | ¥7.12 | ¥7.03 | ¥7.07 | 5 759 059 |
Dec 14, 2021 | ¥7.07 | ¥7.10 | ¥7.02 | ¥7.07 | 6 603 706 |
Dec 13, 2021 | ¥7.16 | ¥7.16 | ¥7.06 | ¥7.07 | 9 472 110 |
Dec 10, 2021 | ¥7.08 | ¥7.17 | ¥7.00 | ¥7.11 | 10 889 272 |
Dec 09, 2021 | ¥7.02 | ¥7.12 | ¥6.98 | ¥7.08 | 12 417 827 |
Dec 08, 2021 | ¥6.99 | ¥7.02 | ¥6.94 | ¥6.99 | 8 088 126 |
Dec 07, 2021 | ¥7.03 | ¥7.03 | ¥6.88 | ¥6.93 | 6 498 331 |
Dec 06, 2021 | ¥6.95 | ¥7.07 | ¥6.88 | ¥6.95 | 8 826 735 |
Dec 03, 2021 | ¥7.00 | ¥7.03 | ¥6.85 | ¥6.95 | 10 287 464 |
Dec 02, 2021 | ¥7.01 | ¥7.07 | ¥6.96 | ¥7.01 | 7 460 556 |
Dec 01, 2021 | ¥7.06 | ¥7.07 | ¥6.97 | ¥7.02 | 7 843 525 |
Nov 30, 2021 | ¥7.01 | ¥7.09 | ¥7.01 | ¥7.05 | 7 583 031 |
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.