¥16.38
+0.800 (+5.13%)
At Close: Jun 04, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥15.33 | ¥25.27 | Thursday, 4th Jun 2026 301125.SZ stock ended at ¥16.38. This is 5.13% more than the trading day before Wednesday, 3rd Jun 2026. During the day the stock fluctuated 10.49% from a day low at ¥15.35 to a day high of ¥16.96. |
| 90 days | ¥13.11 | ¥25.27 | |
| 52 weeks | ¥8.39 | ¥25.27 |
Historical Nanjing Toua Hardware&tools Co.,ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 04, 2026 | ¥16.96 | ¥16.96 | ¥15.35 | ¥16.38 | 4 580 920 |
| Jun 03, 2026 | ¥16.96 | ¥16.96 | ¥15.33 | ¥15.58 | 4 088 200 |
| Jun 02, 2026 | ¥16.96 | ¥16.96 | ¥15.35 | ¥15.70 | 3 864 000 |
| Jun 01, 2026 | ¥15.80 | ¥16.56 | ¥15.80 | ¥16.25 | 3 559 958 |
| May 29, 2026 | ¥24.57 | ¥24.57 | ¥15.68 | ¥15.80 | 4 218 355 |
| May 28, 2026 | ¥24.57 | ¥24.57 | ¥15.82 | ¥16.96 | 4 469 565 |
| May 27, 2026 | ¥24.57 | ¥24.57 | ¥21.98 | ¥22.36 | 3 170 904 |
| May 26, 2026 | ¥24.57 | ¥24.57 | ¥22.92 | ¥23.32 | 2 582 428 |
| May 25, 2026 | ¥25.20 | ¥25.27 | ¥23.68 | ¥24.06 | 3 123 820 |
| May 22, 2026 | ¥17.55 | ¥18.02 | ¥16.79 | ¥17.83 | 5 538 810 |
| May 21, 2026 | ¥17.68 | ¥19.20 | ¥17.35 | ¥17.36 | 6 826 376 |
| May 20, 2026 | ¥17.68 | ¥18.06 | ¥16.97 | ¥17.96 | 0 |
| May 19, 2026 | ¥17.31 | ¥17.71 | ¥16.89 | ¥17.29 | 4 478 197 |
| May 18, 2026 | ¥17.68 | ¥17.92 | ¥17.04 | ¥17.36 | 4 871 020 |
| May 15, 2026 | ¥17.99 | ¥17.99 | ¥16.99 | ¥17.85 | 7 593 461 |
| May 14, 2026 | ¥17.99 | ¥17.99 | ¥16.88 | ¥17.06 | 4 947 090 |
| May 13, 2026 | ¥17.99 | ¥17.99 | ¥16.67 | ¥17.18 | 8 867 139 |
| May 12, 2026 | ¥17.99 | ¥19.09 | ¥16.81 | ¥17.29 | 13 004 606 |
| May 11, 2026 | ¥18.75 | ¥19.17 | ¥17.99 | ¥19.09 | 5 225 360 |
| May 08, 2026 | ¥17.99 | ¥18.81 | ¥17.91 | ¥18.61 | 5 634 019 |
| May 07, 2026 | ¥17.79 | ¥18.46 | ¥17.79 | ¥18.07 | 7 265 499 |
| May 06, 2026 | ¥16.81 | ¥17.94 | ¥16.50 | ¥17.79 | 10 109 159 |
| Apr 30, 2026 | ¥17.33 | ¥17.33 | ¥16.44 | ¥16.56 | 2 998 856 |
| Apr 29, 2026 | ¥17.33 | ¥17.33 | ¥16.29 | ¥16.46 | 3 747 369 |
| Apr 28, 2026 | ¥17.33 | ¥17.33 | ¥16.18 | ¥16.42 | 5 119 621 |
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 301125.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 301125.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 301125.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.
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