SZCE:300906
Jiangxi Everbright Measurement And Control Technology . Stock Price (Quote)
Buy 300906
*Your capital is at risk
¥22.02
-0.530 (-2.35%)
At Close: Jul 24, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥20.71 | ¥28.78 | Friday, 24th Jul 2026 300906.SZ stock ended at ¥22.02. This is 2.35% less than the trading day before Thursday, 23rd Jul 2026. During the day the stock fluctuated 11.59% from a day low at ¥21.65 to a day high of ¥24.16. |
| 90 days | ¥20.71 | ¥37.04 | |
| 52 weeks | ¥20.71 | ¥41.50 |
Historical Jiangxi Everbright Measurement And Control Technology Co.,ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 24, 2026 | ¥24.16 | ¥24.16 | ¥21.65 | ¥22.02 | 788 900 |
| Jul 23, 2026 | ¥24.16 | ¥24.16 | ¥21.69 | ¥22.55 | 1 002 302 |
| Jul 22, 2026 | ¥24.16 | ¥24.16 | ¥21.70 | ¥21.86 | 1 296 990 |
| Jul 21, 2026 | ¥24.16 | ¥24.16 | ¥20.71 | ¥22.56 | 1 833 900 |
| Jul 20, 2026 | ¥23.62 | ¥24.17 | ¥21.98 | ¥22.68 | 1 407 100 |
| Jul 17, 2026 | ¥23.98 | ¥24.55 | ¥23.30 | ¥23.30 | 1 435 600 |
| Jul 16, 2026 | ¥23.98 | ¥24.79 | ¥23.70 | ¥24.29 | 1 062 900 |
| Jul 15, 2026 | ¥23.72 | ¥25.18 | ¥23.38 | ¥24.12 | 1 620 300 |
| Jul 14, 2026 | ¥22.90 | ¥24.11 | ¥22.45 | ¥23.92 | 1 472 500 |
| Jul 13, 2026 | ¥24.20 | ¥24.25 | ¥22.87 | ¥22.96 | 1 292 900 |
| Jul 10, 2026 | ¥23.72 | ¥24.55 | ¥23.20 | ¥24.05 | 1 369 800 |
| Jul 09, 2026 | ¥25.86 | ¥25.86 | ¥23.06 | ¥23.73 | 1 093 900 |
| Jul 08, 2026 | ¥24.29 | ¥24.30 | ¥23.60 | ¥23.85 | 1 130 600 |
| Jul 07, 2026 | ¥25.17 | ¥25.86 | ¥24.01 | ¥24.26 | 1 181 900 |
| Jul 06, 2026 | ¥25.86 | ¥26.31 | ¥25.02 | ¥25.18 | 1 536 100 |
| Jul 02, 2026 | ¥25.61 | ¥25.98 | ¥25.06 | ¥25.16 | 1 483 500 |
| Jul 01, 2026 | ¥25.61 | ¥25.90 | ¥24.72 | ¥25.43 | 1 774 700 |
| Jun 30, 2026 | ¥25.61 | ¥25.61 | ¥24.43 | ¥24.93 | 1 032 200 |
| Jun 29, 2026 | ¥25.26 | ¥25.61 | ¥24.22 | ¥25.18 | 1 389 770 |
| Jun 26, 2026 | ¥25.61 | ¥25.99 | ¥25.03 | ¥25.25 | 1 243 496 |
| Jun 25, 2026 | ¥28.41 | ¥28.41 | ¥25.80 | ¥26.01 | 1 412 196 |
| Jun 24, 2026 | ¥28.41 | ¥28.78 | ¥26.41 | ¥26.65 | 2 097 000 |
| Jun 23, 2026 | ¥27.06 | ¥28.97 | ¥26.88 | ¥28.41 | 2 643 800 |
| Jun 22, 2026 | ¥27.23 | ¥27.36 | ¥26.11 | ¥27.19 | 2 010 097 |
| Jun 18, 2026 | ¥27.20 | ¥27.75 | ¥26.81 | ¥27.23 | 1 271 900 |
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 300906.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300906.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 300906.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.
Sign In