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Range Low Price High Price Comment
30 days ¥8.05 ¥10.37 Friday, 17th May 2024 002796.SZ stock ended at ¥9.29. This is 2.72% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.50% from a day low at ¥9.14 to a day high of ¥9.46.
90 days ¥6.48 ¥16.81
52 weeks ¥5.40 ¥16.81

Historical Suzhou Shijia Science & Technology Inc prices

Date Open High Low Close Volume
Feb 11, 2022 ¥9.02 ¥9.50 ¥8.78 ¥8.92 12 604 913
Feb 10, 2022 ¥9.50 ¥9.89 ¥8.78 ¥8.92 17 296 184
Feb 09, 2022 ¥8.22 ¥9.04 ¥8.10 ¥9.04 8 768 289
Feb 08, 2022 ¥8.22 ¥8.28 ¥8.14 ¥8.22 3 163 502
Feb 07, 2022 ¥8.35 ¥8.53 ¥8.03 ¥8.21 5 660 225
Feb 05, 2022 ¥8.35 ¥8.35 ¥8.35 ¥8.35 0
Jan 28, 2022 ¥7.83 ¥8.49 ¥7.83 ¥8.31 12 591 290
Jan 27, 2022 ¥8.20 ¥8.65 ¥7.64 ¥7.75 8 590 594
Jan 26, 2022 ¥7.27 ¥8.02 ¥7.27 ¥8.02 6 174 467
Jan 25, 2022 ¥7.82 ¥8.08 ¥7.29 ¥7.29 5 118 710
Jan 24, 2022 ¥8.25 ¥8.34 ¥8.02 ¥8.08 1 529 950
Jan 21, 2022 ¥8.17 ¥8.34 ¥8.12 ¥8.25 1 494 275
Jan 20, 2022 ¥8.54 ¥8.58 ¥8.18 ¥8.21 3 359 799
Jan 19, 2022 ¥8.43 ¥8.57 ¥8.40 ¥8.54 3 203 862
Jan 18, 2022 ¥8.61 ¥8.67 ¥8.36 ¥8.40 3 251 250
Jan 17, 2022 ¥8.46 ¥8.64 ¥8.46 ¥8.62 2 484 985
Jan 14, 2022 ¥8.60 ¥8.66 ¥8.43 ¥8.45 2 252 500
Jan 13, 2022 ¥8.60 ¥8.65 ¥8.53 ¥8.60 2 778 760
Jan 12, 2022 ¥8.35 ¥8.66 ¥8.35 ¥8.60 5 159 575
Jan 11, 2022 ¥8.33 ¥8.52 ¥8.33 ¥8.37 2 255 825
Jan 10, 2022 ¥8.29 ¥8.37 ¥8.12 ¥8.33 2 341 471
Jan 07, 2022 ¥8.44 ¥8.50 ¥8.25 ¥8.26 2 063 771
Jan 06, 2022 ¥8.30 ¥8.46 ¥8.24 ¥8.44 2 599 748
Jan 05, 2022 ¥8.40 ¥8.52 ¥8.24 ¥8.31 1 922 437
Jan 04, 2022 ¥8.24 ¥8.43 ¥8.23 ¥8.40 3 667 268

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 002796.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002796.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 002796.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 Suzhou Shijia Science & Technology Inc

Suzhou Shijia Science & Technology Suzhou Shijia Science & Technology Inc. manufactures and sells elevator system products, precision metal plate systems, and electrical assembly products. The company was founded in 1990 and is headquartered in Suzhou, China.... 002796.SZ Profile

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