SZCE:002063
YGSOFT INC. Stock Price (Quote)
¥5.32
+0.0300 (+0.567%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥4.94 | ¥5.47 | Monday, 20th May 2024 002063.SZ stock ended at ¥5.32. This is 0.567% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 2.48% from a day low at ¥5.25 to a day high of ¥5.38. |
90 days | ¥4.90 | ¥5.82 | |
52 weeks | ¥4.10 | ¥9.61 |
Date | Open | High | Low | Close | Volume |
Apr 10, 2024 | ¥5.56 | ¥5.56 | ¥5.05 | ¥5.12 | 24 705 380 |
Apr 09, 2024 | ¥5.56 | ¥5.56 | ¥5.21 | ¥5.23 | 18 649 223 |
Apr 08, 2024 | ¥5.56 | ¥5.56 | ¥5.20 | ¥5.22 | 23 400 045 |
Apr 03, 2024 | ¥5.37 | ¥5.58 | ¥5.36 | ¥5.39 | 28 083 845 |
Apr 02, 2024 | ¥5.37 | ¥5.58 | ¥5.37 | ¥5.56 | 23 923 946 |
Apr 01, 2024 | ¥5.37 | ¥5.60 | ¥5.37 | ¥5.59 | 26 642 273 |
Mar 29, 2024 | ¥5.54 | ¥5.54 | ¥5.24 | ¥5.38 | 18 481 250 |
Mar 28, 2024 | ¥5.54 | ¥5.54 | ¥5.15 | ¥5.35 | 27 549 311 |
Mar 27, 2024 | ¥5.54 | ¥5.54 | ¥5.16 | ¥5.16 | 22 981 668 |
Mar 26, 2024 | ¥5.54 | ¥5.56 | ¥5.35 | ¥5.44 | 23 227 922 |
Mar 25, 2024 | ¥5.68 | ¥5.72 | ¥5.53 | ¥5.54 | 23 772 469 |
Mar 22, 2024 | ¥5.72 | ¥5.75 | ¥5.58 | ¥5.68 | 23 573 707 |
Mar 21, 2024 | ¥5.77 | ¥5.82 | ¥5.71 | ¥5.73 | 21 569 693 |
Mar 20, 2024 | ¥5.66 | ¥5.76 | ¥5.65 | ¥5.76 | 24 852 866 |
Mar 19, 2024 | ¥5.68 | ¥5.72 | ¥5.66 | ¥5.66 | 17 055 795 |
Mar 18, 2024 | ¥5.64 | ¥5.71 | ¥5.63 | ¥5.70 | 24 095 441 |
Mar 15, 2024 | ¥5.58 | ¥5.64 | ¥5.53 | ¥5.64 | 20 152 125 |
Mar 14, 2024 | ¥5.68 | ¥5.70 | ¥5.53 | ¥5.61 | 27 489 783 |
Mar 13, 2024 | ¥5.63 | ¥5.77 | ¥5.62 | ¥5.71 | 33 459 445 |
Mar 12, 2024 | ¥5.60 | ¥5.72 | ¥5.56 | ¥5.64 | 31 356 585 |
Mar 11, 2024 | ¥5.48 | ¥5.58 | ¥5.42 | ¥5.58 | 27 805 936 |
Mar 08, 2024 | ¥5.37 | ¥5.46 | ¥5.33 | ¥5.44 | 19 975 793 |
Mar 07, 2024 | ¥5.52 | ¥5.58 | ¥5.37 | ¥5.37 | 23 412 548 |
Mar 06, 2024 | ¥5.48 | ¥5.58 | ¥5.40 | ¥5.51 | 27 751 238 |
Mar 05, 2024 | ¥5.58 | ¥5.65 | ¥5.48 | ¥5.52 | 29 142 309 |
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 002063.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002063.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 002063.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.