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 |
Historical NetPosa Technologies Ltd prices
Date | Open | High | Low | Close | Volume |
Mar 24, 2021 | ¥2.74 | ¥2.76 | ¥2.71 | ¥2.74 | 6 139 699 |
Mar 23, 2021 | ¥2.84 | ¥2.85 | ¥2.74 | ¥2.75 | 9 180 772 |
Mar 22, 2021 | ¥2.85 | ¥2.87 | ¥2.82 | ¥2.84 | 5 645 528 |
Mar 19, 2021 | ¥2.84 | ¥2.86 | ¥2.80 | ¥2.85 | 6 212 670 |
Mar 18, 2021 | ¥2.85 | ¥2.87 | ¥2.80 | ¥2.83 | 6 259 545 |
Mar 17, 2021 | ¥2.88 | ¥2.92 | ¥2.84 | ¥2.85 | 6 232 829 |
Mar 16, 2021 | ¥2.85 | ¥2.90 | ¥2.83 | ¥2.90 | 5 841 081 |
Mar 15, 2021 | ¥2.88 | ¥2.88 | ¥2.82 | ¥2.83 | 5 024 849 |
Mar 12, 2021 | ¥2.80 | ¥2.91 | ¥2.79 | ¥2.88 | 7 586 608 |
Mar 11, 2021 | ¥2.82 | ¥2.88 | ¥2.77 | ¥2.86 | 9 739 600 |
Mar 10, 2021 | ¥3.03 | ¥3.07 | ¥2.82 | ¥2.85 | 12 273 466 |
Mar 09, 2021 | ¥3.02 | ¥3.11 | ¥2.98 | ¥3.04 | 9 672 389 |
Mar 08, 2021 | ¥3.10 | ¥3.15 | ¥3.01 | ¥3.02 | 12 066 104 |
Mar 05, 2021 | ¥3.02 | ¥3.23 | ¥2.97 | ¥3.13 | 17 560 561 |
Mar 04, 2021 | ¥2.97 | ¥3.10 | ¥2.95 | ¥3.03 | 10 756 150 |
Mar 03, 2021 | ¥2.99 | ¥3.01 | ¥2.95 | ¥2.99 | 5 609 424 |
Mar 02, 2021 | ¥3.05 | ¥3.09 | ¥2.98 | ¥2.99 | 5 564 505 |
Mar 01, 2021 | ¥3.00 | ¥3.07 | ¥2.99 | ¥3.06 | 5 371 316 |
Feb 26, 2021 | ¥3.03 | ¥3.11 | ¥2.99 | ¥3.00 | 7 536 916 |
Feb 25, 2021 | ¥3.16 | ¥3.19 | ¥3.05 | ¥3.05 | 8 219 615 |
Feb 24, 2021 | ¥3.06 | ¥3.24 | ¥3.04 | ¥3.18 | 11 156 823 |
Feb 23, 2021 | ¥3.03 | ¥3.12 | ¥3.01 | ¥3.07 | 7 108 076 |
Feb 22, 2021 | ¥2.97 | ¥3.15 | ¥2.93 | ¥3.04 | 13 617 170 |
Feb 19, 2021 | ¥2.87 | ¥2.98 | ¥2.84 | ¥2.97 | 9 958 336 |
Feb 18, 2021 | ¥2.78 | ¥2.89 | ¥2.78 | ¥2.87 | 8 006 912 |
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.