Beijing BDStar Navigation Co., Ltd. Stock Price (Quote)
¥25.07
-0.89 (-3.43%)
At Close: Jun 06, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥25.01 | ¥29.68 | Thursday, 6th Jun 2024 002151.SZ stock ended at ¥25.07. This is 3.43% less than the trading day before Wednesday, 5th Jun 2024. During the day the stock fluctuated 4.04% from a day low at ¥25.01 to a day high of ¥26.02. |
90 days | ¥25.01 | ¥33.55 | |
52 weeks | ¥21.01 | ¥40.37 |
Historical Beijing BDStar Navigation Co., Ltd. prices
Date | Open | High | Low | Close | Volume |
Apr 26, 2024 | ¥27.87 | ¥27.88 | ¥27.12 | ¥27.58 | 14 100 485 |
Apr 25, 2024 | ¥27.87 | ¥27.94 | ¥26.68 | ¥27.22 | 22 078 475 |
Apr 24, 2024 | ¥27.87 | ¥29.31 | ¥27.87 | ¥29.31 | 15 114 326 |
Apr 23, 2024 | ¥27.87 | ¥29.07 | ¥27.87 | ¥28.28 | 9 879 755 |
Apr 22, 2024 | ¥27.87 | ¥29.36 | ¥27.87 | ¥28.73 | 12 544 849 |
Apr 19, 2024 | ¥28.35 | ¥29.68 | ¥27.79 | ¥29.03 | 18 535 048 |
Apr 18, 2024 | ¥28.35 | ¥28.58 | ¥27.49 | ¥28.11 | 12 434 563 |
Apr 17, 2024 | ¥28.35 | ¥28.35 | ¥26.80 | ¥27.69 | 11 414 487 |
Apr 16, 2024 | ¥28.35 | ¥28.60 | ¥26.38 | ¥26.39 | 16 040 736 |
Apr 15, 2024 | ¥28.35 | ¥29.06 | ¥27.56 | ¥28.77 | 13 275 452 |
Apr 12, 2024 | ¥32.17 | ¥32.17 | ¥28.35 | ¥28.44 | 9 111 288 |
Apr 11, 2024 | ¥32.17 | ¥32.17 | ¥28.22 | ¥28.29 | 12 205 978 |
Apr 10, 2024 | ¥32.17 | ¥32.17 | ¥28.29 | ¥28.83 | 20 323 966 |
Apr 09, 2024 | ¥32.17 | ¥32.17 | ¥29.53 | ¥29.89 | 18 356 143 |
Apr 08, 2024 | ¥32.17 | ¥32.17 | ¥30.55 | ¥30.63 | 27 517 286 |
Apr 03, 2024 | ¥31.39 | ¥33.55 | ¥30.96 | ¥32.64 | 43 683 116 |
Apr 02, 2024 | ¥31.39 | ¥33.00 | ¥31.32 | ¥32.64 | 46 007 523 |
Apr 01, 2024 | ¥31.39 | ¥32.18 | ¥31.03 | ¥31.51 | 31 805 174 |
Mar 29, 2024 | ¥31.64 | ¥32.34 | ¥30.50 | ¥31.95 | 46 777 059 |
Mar 28, 2024 | ¥31.64 | ¥32.98 | ¥29.00 | ¥32.28 | 66 106 183 |
Mar 27, 2024 | ¥31.64 | ¥32.80 | ¥29.97 | ¥29.98 | 65 092 588 |
Mar 26, 2024 | ¥31.64 | ¥33.30 | ¥31.64 | ¥33.30 | 63 912 050 |
Mar 25, 2024 | ¥29.76 | ¥31.64 | ¥29.60 | ¥30.27 | 18 620 308 |
Mar 22, 2024 | ¥30.30 | ¥30.67 | ¥29.68 | ¥29.90 | 16 448 950 |
Mar 21, 2024 | ¥30.90 | ¥31.44 | ¥30.20 | ¥30.70 | 25 629 614 |
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 002151.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002151.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 002151.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.