SZCE:300073
Beijing Easpring Material Techgy Stock Price (Quote)
Buy 300073
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¥64.00
-3.42 (-5.07%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥62.18 | ¥73.90 | Tuesday, 18th Nov 2025 300073.SZ stock ended at ¥64.00. This is 5.07% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 6.67% from a day low at ¥63.26 to a day high of ¥67.48. |
| 90 days | ¥41.44 | ¥76.11 | |
| 52 weeks | ¥33.47 | ¥76.11 |
Historical Beijing Easpring Material Techgy Co Ltd prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ¥67.40 | ¥67.48 | ¥63.26 | ¥64.00 | 23 602 389 |
| Nov 17, 2025 | ¥65.92 | ¥68.15 | ¥65.92 | ¥67.42 | 19 864 713 |
| Nov 14, 2025 | ¥66.66 | ¥67.80 | ¥65.91 | ¥66.08 | 18 025 188 |
| Nov 13, 2025 | ¥64.42 | ¥69.96 | ¥64.28 | ¥67.98 | 31 910 881 |
| Nov 12, 2025 | ¥64.50 | ¥67.44 | ¥62.91 | ¥64.04 | 16 030 122 |
| Nov 11, 2025 | ¥66.00 | ¥67.44 | ¥65.20 | ¥65.32 | 18 018 003 |
| Nov 10, 2025 | ¥67.44 | ¥71.18 | ¥64.60 | ¥65.83 | 33 676 139 |
| Nov 07, 2025 | ¥69.82 | ¥70.97 | ¥66.76 | ¥69.98 | 28 268 833 |
| Nov 06, 2025 | ¥69.82 | ¥69.82 | ¥65.47 | ¥68.16 | 24 790 851 |
| Nov 05, 2025 | ¥69.82 | ¥69.82 | ¥62.18 | ¥65.24 | 19 846 429 |
| Nov 04, 2025 | ¥69.82 | ¥69.82 | ¥63.97 | ¥64.50 | 18 323 223 |
| Nov 03, 2025 | ¥68.00 | ¥68.59 | ¥63.66 | ¥66.50 | 34 998 436 |
| Oct 31, 2025 | ¥69.82 | ¥73.47 | ¥66.50 | ¥69.18 | 38 527 839 |
| Oct 30, 2025 | ¥72.03 | ¥73.90 | ¥66.50 | ¥70.00 | 39 186 849 |
| Oct 29, 2025 | ¥66.50 | ¥71.82 | ¥66.50 | ¥71.82 | 35 404 609 |
| Oct 28, 2025 | ¥67.80 | ¥69.96 | ¥66.58 | ¥68.80 | 33 469 385 |
| Oct 27, 2025 | ¥69.00 | ¥69.76 | ¥66.50 | ¥68.08 | 34 347 123 |
| Oct 24, 2025 | ¥67.33 | ¥68.20 | ¥65.68 | ¥68.07 | 29 107 285 |
| Oct 23, 2025 | ¥67.33 | ¥67.33 | ¥63.20 | ¥65.97 | 22 901 108 |
| Oct 22, 2025 | ¥67.33 | ¥67.33 | ¥63.66 | ¥64.28 | 24 585 441 |
| Oct 21, 2025 | ¥67.33 | ¥68.38 | ¥66.40 | ¥66.62 | 27 894 750 |
| Oct 20, 2025 | ¥67.50 | ¥68.88 | ¥65.96 | ¥67.33 | 32 649 080 |
| Oct 17, 2025 | ¥71.72 | ¥71.72 | ¥65.31 | ¥65.83 | 33 096 551 |
| Oct 16, 2025 | ¥71.72 | ¥71.72 | ¥64.06 | ¥66.84 | 41 298 932 |
| Oct 15, 2025 | ¥71.72 | ¥71.72 | ¥62.52 | ¥64.05 | 23 031 538 |
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 300073.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300073.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 300073.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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