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Range Low Price High Price Comment
30 days ¥4.94 ¥5.47 Tuesday, 21st May 2024 002063.SZ stock ended at ¥5.31. This is 0.188% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 1.90% from a day low at ¥5.25 to a day high of ¥5.35.
90 days ¥4.90 ¥5.82
52 weeks ¥4.10 ¥9.61

Historical YGSOFT INC. prices

Date Open High Low Close Volume
Dec 19, 2023 ¥6.05 ¥6.08 ¥5.98 ¥6.06 13 972 397
Dec 18, 2023 ¥6.14 ¥6.18 ¥6.04 ¥6.06 19 054 823
Dec 15, 2023 ¥6.19 ¥6.22 ¥6.11 ¥6.17 14 346 895
Dec 14, 2023 ¥6.21 ¥6.26 ¥6.15 ¥6.16 13 190 963
Dec 13, 2023 ¥6.24 ¥6.26 ¥6.16 ¥6.17 13 362 464
Dec 12, 2023 ¥6.22 ¥6.27 ¥6.16 ¥6.26 21 741 587
Dec 11, 2023 ¥6.13 ¥6.23 ¥6.01 ¥6.21 25 786 930
Dec 08, 2023 ¥6.12 ¥6.19 ¥6.07 ¥6.13 24 837 058
Dec 07, 2023 ¥6.04 ¥6.15 ¥6.00 ¥6.09 22 594 256
Dec 06, 2023 ¥6.00 ¥6.11 ¥5.90 ¥6.03 17 521 383
Dec 05, 2023 ¥6.16 ¥6.16 ¥5.96 ¥5.96 23 756 201
Dec 04, 2023 ¥6.16 ¥6.30 ¥6.15 ¥6.17 22 261 852
Dec 01, 2023 ¥6.10 ¥6.17 ¥6.05 ¥6.16 25 165 183
Nov 30, 2023 ¥6.13 ¥6.13 ¥6.01 ¥6.10 19 564 935
Nov 29, 2023 ¥6.06 ¥6.13 ¥6.01 ¥6.11 15 004 268
Nov 28, 2023 ¥6.16 ¥6.16 ¥6.05 ¥6.09 22 441 370
Nov 27, 2023 ¥6.05 ¥6.26 ¥6.05 ¥6.16 19 452 372
Nov 24, 2023 ¥6.23 ¥6.24 ¥6.06 ¥6.10 16 235 358
Nov 23, 2023 ¥6.17 ¥6.25 ¥6.09 ¥6.23 15 092 690
Nov 22, 2023 ¥6.18 ¥6.27 ¥6.17 ¥6.17 14 313 570
Nov 21, 2023 ¥6.27 ¥6.32 ¥6.17 ¥6.20 13 798 532
Nov 20, 2023 ¥6.20 ¥6.32 ¥6.18 ¥6.27 17 019 917
Nov 17, 2023 ¥6.14 ¥6.20 ¥6.13 ¥6.18 11 697 754
Nov 16, 2023 ¥6.19 ¥6.25 ¥6.16 ¥6.18 15 145 020
Nov 15, 2023 ¥6.25 ¥6.32 ¥6.18 ¥6.22 22 004 306

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.

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.

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.

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.
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About YGSOFT INC.

YGSOFT INC. YGSOFT Inc. provides enterprise management, energy interconnection, and social service information technology products and services to the energy industry. The company also offers software and hardware products and services; and financial, and information and big data analysis consulting services. In addition, it provides power distribution network information services; energy management services; internet solutions; management tools for energy a... 002063.SZ Profile

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