SZCE:300171
Shanghai Tofflon Science & Techgy Stock Price (Quote)
Buy 300171
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¥17.62
-0.240 (-1.34%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥14.45 | ¥19.08 | Tuesday, 18th Nov 2025 300171.SZ stock ended at ¥17.62. This is 1.34% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 5.81% from a day low at ¥17.03 to a day high of ¥18.02. |
| 90 days | ¥13.58 | ¥19.08 | |
| 52 weeks | ¥10.60 | ¥19.08 |
Historical Shanghai Tofflon Science & Techgy Co Ltd prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ¥17.03 | ¥18.02 | ¥17.03 | ¥17.62 | 14 663 148 |
| Nov 17, 2025 | ¥18.30 | ¥18.43 | ¥17.03 | ¥17.86 | 24 287 316 |
| Nov 14, 2025 | ¥17.10 | ¥19.08 | ¥16.94 | ¥18.20 | 39 849 324 |
| Nov 13, 2025 | ¥16.88 | ¥17.17 | ¥16.58 | ¥17.02 | 12 578 001 |
| Nov 12, 2025 | ¥16.78 | ¥16.90 | ¥16.65 | ¥16.72 | 10 113 300 |
| Nov 11, 2025 | ¥16.90 | ¥16.90 | ¥16.61 | ¥16.66 | 11 958 596 |
| Nov 10, 2025 | ¥17.10 | ¥17.25 | ¥16.71 | ¥16.99 | 13 735 938 |
| Nov 07, 2025 | ¥16.82 | ¥17.10 | ¥16.82 | ¥16.96 | 10 810 754 |
| Nov 06, 2025 | ¥16.82 | ¥17.28 | ¥16.79 | ¥17.09 | 14 811 550 |
| Nov 05, 2025 | ¥16.82 | ¥17.17 | ¥16.77 | ¥16.94 | 18 038 706 |
| Nov 04, 2025 | ¥16.82 | ¥17.64 | ¥16.82 | ¥17.07 | 30 688 991 |
| Nov 03, 2025 | ¥17.15 | ¥17.99 | ¥16.82 | ¥17.99 | 43 189 233 |
| Oct 31, 2025 | ¥14.80 | ¥17.20 | ¥14.80 | ¥16.96 | 21 953 728 |
| Oct 30, 2025 | ¥14.80 | ¥17.18 | ¥14.80 | ¥16.84 | 28 456 651 |
| Oct 29, 2025 | ¥14.80 | ¥17.70 | ¥14.80 | ¥17.15 | 56 783 467 |
| Oct 28, 2025 | ¥14.80 | ¥16.66 | ¥14.80 | ¥16.18 | 48 122 921 |
| Oct 27, 2025 | ¥14.96 | ¥15.23 | ¥14.80 | ¥14.86 | 9 651 890 |
| Oct 24, 2025 | ¥14.80 | ¥14.97 | ¥14.72 | ¥14.90 | 6 693 102 |
| Oct 23, 2025 | ¥14.80 | ¥14.97 | ¥14.65 | ¥14.81 | 6 027 635 |
| Oct 22, 2025 | ¥14.80 | ¥14.95 | ¥14.65 | ¥14.94 | 8 641 800 |
| Oct 21, 2025 | ¥14.80 | ¥14.98 | ¥14.70 | ¥14.78 | 8 380 230 |
| Oct 20, 2025 | ¥14.50 | ¥14.80 | ¥14.45 | ¥14.74 | 8 086 953 |
| Oct 17, 2025 | ¥14.46 | ¥14.83 | ¥14.31 | ¥14.41 | 8 933 600 |
| Oct 16, 2025 | ¥14.46 | ¥14.95 | ¥14.46 | ¥14.81 | 8 448 271 |
| Oct 15, 2025 | ¥14.46 | ¥14.85 | ¥14.27 | ¥14.79 | 11 077 190 |
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 300171.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300171.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 300171.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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