SZCE:300367
Delisted
NetPosa Technologies Ltd Stock Price (Quote)
¥0.290
+0 (+0%)
At Close: Nov 10, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥0.290 | ¥0.290 | Thursday, 10th Nov 2022 300367.SZ stock ended at ¥0.290. During the day the stock fluctuated 0% from a day low at ¥0.290 to a day high of ¥0.290. |
90 days | ¥0.290 | ¥0.290 | |
52 weeks | ¥0.230 | ¥2.66 |
Date | Open | High | Low | Close | Volume |
Mar 28, 2022 | ¥1.90 | ¥1.92 | ¥1.86 | ¥1.91 | 5 635 703 |
Mar 25, 2022 | ¥1.90 | ¥1.92 | ¥1.89 | ¥1.90 | 6 298 330 |
Mar 24, 2022 | ¥1.93 | ¥1.93 | ¥1.90 | ¥1.90 | 6 103 785 |
Mar 23, 2022 | ¥1.96 | ¥1.98 | ¥1.93 | ¥1.94 | 6 913 140 |
Mar 22, 2022 | ¥1.97 | ¥1.99 | ¥1.93 | ¥1.96 | 7 034 728 |
Mar 21, 2022 | ¥1.96 | ¥2.01 | ¥1.94 | ¥1.96 | 8 070 778 |
Mar 18, 2022 | ¥1.88 | ¥1.96 | ¥1.88 | ¥1.95 | 8 405 290 |
Mar 17, 2022 | ¥1.93 | ¥1.94 | ¥1.90 | ¥1.90 | 8 752 940 |
Mar 16, 2022 | ¥1.90 | ¥1.93 | ¥1.80 | ¥1.91 | 13 730 825 |
Mar 15, 2022 | ¥2.00 | ¥2.01 | ¥1.86 | ¥1.89 | 14 506 803 |
Mar 14, 2022 | ¥2.05 | ¥2.06 | ¥2.01 | ¥2.02 | 5 409 069 |
Mar 11, 2022 | ¥2.10 | ¥2.10 | ¥2.03 | ¥2.07 | 9 099 845 |
Mar 10, 2022 | ¥2.10 | ¥2.13 | ¥2.10 | ¥2.11 | 5 504 804 |
Mar 09, 2022 | ¥2.14 | ¥2.15 | ¥2.01 | ¥2.09 | 10 826 129 |
Mar 08, 2022 | ¥2.16 | ¥2.17 | ¥2.12 | ¥2.13 | 8 356 006 |
Mar 07, 2022 | ¥2.20 | ¥2.21 | ¥2.16 | ¥2.17 | 7 249 952 |
Mar 04, 2022 | ¥2.17 | ¥2.25 | ¥2.15 | ¥2.21 | 12 611 429 |
Mar 03, 2022 | ¥2.17 | ¥2.18 | ¥2.14 | ¥2.16 | 6 887 626 |
Mar 02, 2022 | ¥2.17 | ¥2.19 | ¥2.15 | ¥2.17 | 8 087 847 |
Mar 01, 2022 | ¥2.15 | ¥2.19 | ¥2.14 | ¥2.17 | 8 735 342 |
Feb 28, 2022 | ¥2.19 | ¥2.19 | ¥2.14 | ¥2.16 | 19 754 316 |
Feb 25, 2022 | ¥2.19 | ¥2.22 | ¥2.17 | ¥2.18 | 6 275 480 |
Feb 24, 2022 | ¥2.22 | ¥2.26 | ¥2.14 | ¥2.19 | 12 818 134 |
Feb 23, 2022 | ¥2.23 | ¥2.24 | ¥2.21 | ¥2.23 | 6 171 018 |
Feb 22, 2022 | ¥2.22 | ¥2.24 | ¥2.20 | ¥2.23 | 6 472 564 |
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 300367.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300367.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 300367.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.