¥29.15
+0.690 (+2.42%)
At Close: Jun 12, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥28.01 | ¥36.07 | Friday, 12th Jun 2026 001255.SZ stock ended at ¥29.15. This is 2.42% more than the trading day before Thursday, 11th Jun 2026. During the day the stock fluctuated 5.60% from a day low at ¥28.03 to a day high of ¥29.60. |
| 90 days | ¥28.01 | ¥41.59 | |
| 52 weeks | ¥28.01 | ¥58.97 |
Historical Zhejiang Bofay Electric Co.,ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 12, 2026 | ¥29.22 | ¥29.60 | ¥28.03 | ¥29.15 | 1 309 800 |
| Jun 11, 2026 | ¥29.22 | ¥29.22 | ¥28.01 | ¥28.46 | 1 004 300 |
| Jun 10, 2026 | ¥29.12 | ¥29.29 | ¥28.30 | ¥28.85 | 1 091 400 |
| Jun 09, 2026 | ¥29.22 | ¥29.83 | ¥28.67 | ¥29.05 | 1 234 500 |
| Jun 08, 2026 | ¥29.83 | ¥30.00 | ¥28.31 | ¥28.99 | 1 325 900 |
| Jun 05, 2026 | ¥32.50 | ¥32.50 | ¥28.82 | ¥30.18 | 1 515 900 |
| Jun 04, 2026 | ¥32.50 | ¥32.50 | ¥29.46 | ¥29.72 | 1 382 472 |
| Jun 03, 2026 | ¥32.50 | ¥32.50 | ¥29.84 | ¥30.22 | 1 451 118 |
| Jun 02, 2026 | ¥32.50 | ¥32.50 | ¥30.47 | ¥30.97 | 1 187 355 |
| Jun 01, 2026 | ¥30.91 | ¥32.16 | ¥30.81 | ¥31.83 | 1 487 791 |
| May 29, 2026 | ¥33.02 | ¥33.02 | ¥31.02 | ¥31.29 | 1 506 960 |
| May 28, 2026 | ¥33.02 | ¥33.02 | ¥31.75 | ¥32.50 | 2 090 898 |
| May 27, 2026 | ¥33.02 | ¥34.15 | ¥31.59 | ¥32.68 | 3 887 385 |
| May 26, 2026 | ¥33.02 | ¥35.02 | ¥32.95 | ¥33.20 | 1 753 800 |
| May 22, 2026 | ¥33.02 | ¥34.61 | ¥32.61 | ¥33.66 | 1 208 413 |
| May 21, 2026 | ¥34.61 | ¥34.86 | ¥32.60 | ¥32.87 | 1 483 300 |
| May 20, 2026 | ¥34.61 | ¥35.20 | ¥34.01 | ¥34.38 | 0 |
| May 19, 2026 | ¥35.15 | ¥35.50 | ¥34.35 | ¥34.87 | 966 533 |
| May 18, 2026 | ¥34.61 | ¥35.41 | ¥34.32 | ¥35.15 | 1 202 100 |
| May 15, 2026 | ¥36.00 | ¥36.00 | ¥34.70 | ¥34.74 | 1 244 200 |
| May 14, 2026 | ¥36.00 | ¥36.00 | ¥34.76 | ¥35.23 | 1 508 100 |
| May 13, 2026 | ¥36.00 | ¥36.07 | ¥34.58 | ¥35.58 | 1 158 800 |
| May 12, 2026 | ¥36.00 | ¥36.10 | ¥34.75 | ¥35.18 | 1 299 000 |
| May 11, 2026 | ¥36.36 | ¥36.58 | ¥35.55 | ¥35.96 | 1 620 733 |
| May 08, 2026 | ¥36.00 | ¥36.29 | ¥35.10 | ¥36.10 | 1 620 000 |
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 001255.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 001255.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 001255.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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