$1.71
+0 (+0%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $1.28 | $1.92 | Monday, 13th Jul 2026 SY stock ended at $1.71. During the day the stock fluctuated 4.52% from a day low at $1.66 to a day high of $1.74. |
| 90 days | $1.28 | $3.32 | |
| 52 weeks | $1.28 | $6.28 |
Historical So-Young International Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $1.71 | $1.74 | $1.66 | $1.71 | 75 534 |
| Jul 10, 2026 | $1.65 | $1.73 | $1.61 | $1.71 | 136 322 |
| Jul 09, 2026 | $1.61 | $1.66 | $1.58 | $1.64 | 257 810 |
| Jul 08, 2026 | $1.60 | $1.69 | $1.59 | $1.65 | 388 661 |
| Jul 07, 2026 | $1.62 | $1.63 | $1.54 | $1.56 | 335 070 |
| Jul 06, 2026 | $1.56 | $1.67 | $1.56 | $1.63 | 182 312 |
| Jul 02, 2026 | $1.65 | $1.73 | $1.51 | $1.54 | 343 003 |
| Jul 01, 2026 | $1.53 | $1.79 | $1.48 | $1.70 | 827 564 |
| Jun 30, 2026 | $1.46 | $1.56 | $1.40 | $1.48 | 569 872 |
| Jun 29, 2026 | $1.44 | $1.51 | $1.42 | $1.44 | 438 283 |
| Jun 26, 2026 | $1.31 | $1.44 | $1.31 | $1.42 | 608 123 |
| Jun 25, 2026 | $1.39 | $1.40 | $1.32 | $1.32 | 367 600 |
| Jun 24, 2026 | $1.44 | $1.48 | $1.34 | $1.40 | 785 709 |
| Jun 23, 2026 | $1.49 | $1.57 | $1.42 | $1.47 | 462 800 |
| Jun 22, 2026 | $1.41 | $1.65 | $1.28 | $1.57 | 1 285 631 |
| Jun 18, 2026 | $1.56 | $1.58 | $1.42 | $1.43 | 435 979 |
| Jun 17, 2026 | $1.72 | $1.73 | $1.54 | $1.55 | 508 693 |
| Jun 16, 2026 | $1.78 | $1.81 | $1.72 | $1.73 | 409 364 |
| Jun 15, 2026 | $1.89 | $1.92 | $1.78 | $1.78 | 311 886 |
| Jun 12, 2026 | $1.98 | $2.07 | $1.86 | $1.86 | 743 964 |
| Jun 11, 2026 | $1.88 | $2.01 | $1.88 | $1.97 | 681 134 |
| Jun 10, 2026 | $1.84 | $1.96 | $1.84 | $1.88 | 358 095 |
| Jun 09, 2026 | $1.87 | $1.92 | $1.80 | $1.86 | 482 640 |
| Jun 08, 2026 | $1.95 | $1.95 | $1.81 | $1.83 | 402 090 |
| Jun 05, 2026 | $2.00 | $2.06 | $1.91 | $1.93 | 839 165 |
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 SY stock historical prices to predict future price movements?
Trend Analysis: Examine the SY 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 SY 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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