$1.83
-0.0200 (-1.08%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $1.46 | $1.87 | Monday, 13th Jul 2026 GOTU stock ended at $1.83. This is 1.08% less than the trading day before Friday, 10th Jul 2026. During the day the stock fluctuated 3.89% from a day low at $1.80 to a day high of $1.87. |
| 90 days | $1.40 | $2.07 | |
| 52 weeks | $1.40 | $4.12 |
Historical GSX Techedu Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $1.80 | $1.87 | $1.80 | $1.83 | 321 397 |
| Jul 10, 2026 | $1.85 | $1.87 | $1.83 | $1.85 | 227 199 |
| Jul 09, 2026 | $1.84 | $1.86 | $1.82 | $1.84 | 327 051 |
| Jul 08, 2026 | $1.78 | $1.84 | $1.76 | $1.83 | 344 742 |
| Jul 07, 2026 | $1.74 | $1.78 | $1.74 | $1.76 | 161 472 |
| Jul 06, 2026 | $1.74 | $1.79 | $1.74 | $1.74 | 305 587 |
| Jul 02, 2026 | $1.76 | $1.80 | $1.74 | $1.75 | 289 555 |
| Jul 01, 2026 | $1.67 | $1.81 | $1.66 | $1.77 | 584 751 |
| Jun 30, 2026 | $1.69 | $1.75 | $1.66 | $1.66 | 339 468 |
| Jun 29, 2026 | $1.73 | $1.77 | $1.71 | $1.73 | 353 212 |
| Jun 26, 2026 | $1.71 | $1.78 | $1.67 | $1.74 | 15 449 |
| Jun 25, 2026 | $1.77 | $1.78 | $1.71 | $1.74 | 549 489 |
| Jun 24, 2026 | $1.69 | $1.77 | $1.67 | $1.76 | 524 975 |
| Jun 23, 2026 | $1.65 | $1.73 | $1.64 | $1.71 | 438 058 |
| Jun 22, 2026 | $1.69 | $1.71 | $1.67 | $1.69 | 488 972 |
| Jun 18, 2026 | $1.64 | $1.72 | $1.63 | $1.65 | 1 172 283 |
| Jun 17, 2026 | $1.52 | $1.68 | $1.52 | $1.63 | 942 179 |
| Jun 16, 2026 | $1.49 | $1.60 | $1.46 | $1.56 | 836 526 |
| Jun 15, 2026 | $1.50 | $1.56 | $1.49 | $1.49 | 543 326 |
| Jun 12, 2026 | $1.59 | $1.64 | $1.52 | $1.52 | 1 063 626 |
| Jun 11, 2026 | $1.46 | $1.50 | $1.43 | $1.47 | 1 013 020 |
| Jun 10, 2026 | $1.43 | $1.50 | $1.43 | $1.45 | 606 800 |
| Jun 09, 2026 | $1.54 | $1.54 | $1.40 | $1.42 | 942 585 |
| Jun 08, 2026 | $1.61 | $1.61 | $1.51 | $1.51 | 604 655 |
| Jun 05, 2026 | $1.69 | $1.71 | $1.56 | $1.58 | 773 000 |
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 GOTU stock historical prices to predict future price movements?
Trend Analysis: Examine the GOTU 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 GOTU 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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