¥36.15
-0.470 (-1.28%)
At Close: Jul 24, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥34.30 | ¥62.60 | Friday, 24th Jul 2026 301607.SZ stock ended at ¥36.15. This is 1.28% less than the trading day before Thursday, 23rd Jul 2026. During the day the stock fluctuated 31.05% from a day low at ¥35.55 to a day high of ¥46.59. |
| 90 days | ¥34.30 | ¥62.60 | |
| 52 weeks | ¥23.86 | ¥62.60 |
Historical prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 24, 2026 | ¥46.59 | ¥46.59 | ¥35.55 | ¥36.15 | 8 709 410 |
| Jul 23, 2026 | ¥46.59 | ¥46.59 | ¥36.36 | ¥36.62 | 9 752 760 |
| Jul 22, 2026 | ¥46.59 | ¥46.59 | ¥37.30 | ¥37.64 | 14 323 737 |
| Jul 21, 2026 | ¥46.59 | ¥46.59 | ¥34.30 | ¥39.79 | 17 041 607 |
| Jul 20, 2026 | ¥42.17 | ¥46.59 | ¥36.53 | ¥37.96 | 14 527 186 |
| Jul 17, 2026 | ¥46.59 | ¥49.00 | ¥40.00 | ¥40.35 | 14 349 395 |
| Jul 16, 2026 | ¥49.00 | ¥49.48 | ¥46.76 | ¥47.26 | 12 879 896 |
| Jul 15, 2026 | ¥60.81 | ¥60.81 | ¥49.81 | ¥50.16 | 14 417 443 |
| Jul 14, 2026 | ¥54.78 | ¥55.10 | ¥51.01 | ¥53.90 | 13 450 830 |
| Jul 13, 2026 | ¥55.65 | ¥60.81 | ¥53.30 | ¥54.00 | 15 905 848 |
| Jul 10, 2026 | ¥53.56 | ¥62.60 | ¥53.56 | ¥55.56 | 22 688 228 |
| Jul 09, 2026 | ¥53.56 | ¥57.37 | ¥47.11 | ¥57.37 | 20 104 263 |
| Jul 08, 2026 | ¥52.75 | ¥53.87 | ¥47.79 | ¥47.81 | 15 867 371 |
| Jul 07, 2026 | ¥53.56 | ¥55.79 | ¥52.80 | ¥53.30 | 14 038 434 |
| Jul 06, 2026 | ¥55.00 | ¥60.03 | ¥53.56 | ¥54.52 | 24 320 011 |
| Jul 02, 2026 | ¥43.92 | ¥53.20 | ¥43.92 | ¥52.22 | 18 022 391 |
| Jul 01, 2026 | ¥43.92 | ¥52.25 | ¥43.92 | ¥51.59 | 18 484 957 |
| Jun 30, 2026 | ¥43.92 | ¥52.25 | ¥43.54 | ¥52.25 | 25 372 944 |
| Jun 29, 2026 | ¥42.64 | ¥47.49 | ¥41.60 | ¥43.54 | 18 943 453 |
| Jun 26, 2026 | ¥42.00 | ¥45.17 | ¥42.00 | ¥42.26 | 9 395 476 |
| Jun 25, 2026 | ¥42.00 | ¥47.44 | ¥42.00 | ¥44.34 | 15 330 758 |
| Jun 24, 2026 | ¥42.00 | ¥48.18 | ¥42.00 | ¥47.55 | 17 413 991 |
| Jun 23, 2026 | ¥42.00 | ¥47.19 | ¥42.00 | ¥44.99 | 14 775 716 |
| Jun 22, 2026 | ¥41.05 | ¥45.30 | ¥40.62 | ¥44.47 | 17 427 244 |
| Jun 18, 2026 | ¥40.36 | ¥43.13 | ¥40.28 | ¥41.05 | 12 905 261 |
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 301607.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 301607.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 301607.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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