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 |
Dec 07, 2021 | ¥2.41 | ¥2.53 | ¥2.41 | ¥2.48 | 21 002 940 |
Dec 06, 2021 | ¥2.39 | ¥2.57 | ¥2.37 | ¥2.43 | 30 103 820 |
Dec 03, 2021 | ¥2.40 | ¥2.45 | ¥2.35 | ¥2.39 | 19 168 204 |
Dec 02, 2021 | ¥2.25 | ¥2.66 | ¥2.23 | ¥2.46 | 52 128 559 |
Dec 01, 2021 | ¥2.20 | ¥2.26 | ¥2.19 | ¥2.24 | 13 751 081 |
Nov 30, 2021 | ¥2.15 | ¥2.22 | ¥2.15 | ¥2.21 | 14 014 515 |
Nov 29, 2021 | ¥2.14 | ¥2.17 | ¥2.12 | ¥2.15 | 6 010 065 |
Nov 26, 2021 | ¥2.19 | ¥2.19 | ¥2.15 | ¥2.16 | 3 794 882 |
Nov 25, 2021 | ¥2.18 | ¥2.20 | ¥2.17 | ¥2.19 | 7 516 864 |
Nov 24, 2021 | ¥2.18 | ¥2.19 | ¥2.15 | ¥2.18 | 7 502 392 |
Nov 23, 2021 | ¥2.17 | ¥2.19 | ¥2.15 | ¥2.18 | 6 965 845 |
Nov 22, 2021 | ¥2.14 | ¥2.14 | ¥2.14 | ¥2.14 | 0 |
Nov 19, 2021 | ¥2.14 | ¥2.14 | ¥2.14 | ¥2.14 | 0 |
Nov 18, 2021 | ¥2.20 | ¥2.20 | ¥2.14 | ¥2.14 | 10 915 866 |
Nov 17, 2021 | ¥2.20 | ¥2.22 | ¥2.19 | ¥2.20 | 5 857 757 |
Nov 16, 2021 | ¥2.20 | ¥2.23 | ¥2.19 | ¥2.20 | 7 020 464 |
Nov 15, 2021 | ¥2.22 | ¥2.24 | ¥2.17 | ¥2.20 | 7 731 218 |
Nov 12, 2021 | ¥2.20 | ¥2.27 | ¥2.19 | ¥2.19 | 12 927 220 |
Nov 11, 2021 | ¥2.16 | ¥2.21 | ¥2.15 | ¥2.21 | 9 212 797 |
Nov 10, 2021 | ¥2.14 | ¥2.18 | ¥2.13 | ¥2.17 | 7 817 807 |
Nov 09, 2021 | ¥2.17 | ¥2.19 | ¥2.14 | ¥2.16 | 8 838 842 |
Nov 08, 2021 | ¥2.09 | ¥2.19 | ¥2.13 | ¥2.18 | 8 757 620 |
Nov 05, 2021 | ¥2.09 | ¥2.20 | ¥2.08 | ¥2.16 | 14 704 027 |
Nov 04, 2021 | ¥2.09 | ¥2.12 | ¥2.07 | ¥2.10 | 8 378 002 |
Nov 03, 2021 | ¥2.04 | ¥2.08 | ¥2.02 | ¥2.07 | 5 720 881 |
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.