¥279.90
-1.28 (-0.455%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥256.45 | ¥346.58 | Tuesday, 18th Nov 2025 300476.SZ stock ended at ¥279.90. This is 0.455% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 5.49% from a day low at ¥274.91 to a day high of ¥290.00. |
| 90 days | ¥208.88 | ¥355.00 | |
| 52 weeks | ¥36.59 | ¥355.00 |
Historical Victory Giant Technology prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ¥277.00 | ¥290.00 | ¥274.91 | ¥279.90 | 26 447 184 |
| Nov 17, 2025 | ¥280.11 | ¥287.60 | ¥276.72 | ¥281.18 | 23 140 279 |
| Nov 14, 2025 | ¥282.18 | ¥315.01 | ¥275.00 | ¥275.00 | 27 425 703 |
| Nov 13, 2025 | ¥285.10 | ¥315.01 | ¥281.20 | ¥289.30 | 21 792 873 |
| Nov 12, 2025 | ¥315.01 | ¥315.01 | ¥280.49 | ¥288.50 | 30 346 360 |
| Nov 11, 2025 | ¥315.01 | ¥315.01 | ¥286.00 | ¥289.18 | 34 318 437 |
| Nov 10, 2025 | ¥315.01 | ¥315.08 | ¥287.07 | ¥301.94 | 44 942 219 |
| Nov 07, 2025 | ¥328.49 | ¥328.49 | ¥310.04 | ¥312.05 | 28 673 906 |
| Nov 06, 2025 | ¥328.49 | ¥328.49 | ¥301.05 | ¥316.21 | 45 422 523 |
| Nov 05, 2025 | ¥328.49 | ¥328.49 | ¥280.00 | ¥298.39 | 29 758 955 |
| Nov 04, 2025 | ¥328.49 | ¥328.49 | ¥291.92 | ¥294.50 | 29 244 520 |
| Nov 03, 2025 | ¥290.30 | ¥328.49 | ¥284.45 | ¥298.15 | 42 808 241 |
| Oct 31, 2025 | ¥328.49 | ¥328.81 | ¥294.00 | ¥294.00 | 63 403 804 |
| Oct 30, 2025 | ¥295.00 | ¥340.00 | ¥295.00 | ¥328.60 | 56 391 054 |
| Oct 29, 2025 | ¥295.00 | ¥346.55 | ¥295.00 | ¥339.00 | 68 807 524 |
| Oct 28, 2025 | ¥295.00 | ¥341.10 | ¥295.00 | ¥327.00 | 78 984 209 |
| Oct 27, 2025 | ¥315.89 | ¥346.58 | ¥295.00 | ¥340.32 | 69 035 256 |
| Oct 24, 2025 | ¥264.00 | ¥308.99 | ¥264.00 | ¥308.98 | 63 107 934 |
| Oct 23, 2025 | ¥264.00 | ¥289.66 | ¥264.00 | ¥286.22 | 41 756 166 |
| Oct 22, 2025 | ¥264.00 | ¥281.15 | ¥264.00 | ¥278.60 | 36 408 677 |
| Oct 21, 2025 | ¥265.00 | ¥284.65 | ¥256.45 | ¥281.15 | 65 986 877 |
| Oct 20, 2025 | ¥264.00 | ¥277.00 | ¥260.87 | ¥264.22 | 57 352 875 |
| Oct 17, 2025 | ¥280.00 | ¥280.00 | ¥253.40 | ¥259.36 | 35 299 564 |
| Oct 16, 2025 | ¥280.00 | ¥280.00 | ¥262.00 | ¥267.03 | 34 101 733 |
| Oct 15, 2025 | ¥280.00 | ¥280.00 | ¥246.06 | ¥266.90 | 56 644 994 |
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 300476.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300476.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 300476.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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