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Range Low Price High Price Comment
30 days ¥8.30 ¥9.77 Friday, 31st May 2024 002796.SZ stock ended at ¥8.59. This is 2.75% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.72% from a day low at ¥8.33 to a day high of ¥8.64.
90 days ¥8.05 ¥16.81
52 weeks ¥5.40 ¥16.81

Historical Suzhou Shijia Science & Technology Inc prices

Date Open High Low Close Volume
May 12, 2022 ¥7.12 ¥7.30 ¥7.09 ¥7.22 3 885 247
May 11, 2022 ¥7.24 ¥7.38 ¥7.12 ¥7.12 3 695 387
May 10, 2022 ¥7.22 ¥7.39 ¥7.22 ¥7.32 2 564 750
May 09, 2022 ¥7.00 ¥7.44 ¥7.00 ¥7.33 3 602 250
May 06, 2022 ¥6.79 ¥7.12 ¥6.68 ¥7.00 3 589 319
May 05, 2022 ¥6.88 ¥7.04 ¥6.66 ¥6.96 3 700 987
Apr 29, 2022 ¥6.38 ¥7.01 ¥6.38 ¥6.87 8 085 319
Apr 28, 2022 ¥6.72 ¥6.73 ¥6.32 ¥6.42 5 305 622
Apr 27, 2022 ¥6.63 ¥6.63 ¥6.22 ¥6.58 8 265 507
Apr 26, 2022 ¥7.23 ¥7.35 ¥6.52 ¥6.63 7 883 889
Apr 25, 2022 ¥7.95 ¥7.95 ¥7.23 ¥7.23 7 323 788
Apr 22, 2022 ¥8.50 ¥8.50 ¥8.10 ¥8.16 2 347 225
Apr 21, 2022 ¥8.43 ¥8.63 ¥8.25 ¥8.36 5 211 084
Apr 20, 2022 ¥9.00 ¥9.00 ¥8.68 ¥8.74 6 129 122
Apr 19, 2022 ¥8.64 ¥8.98 ¥8.54 ¥8.94 10 552 570
Apr 18, 2022 ¥8.44 ¥8.60 ¥8.28 ¥8.53 4 534 950
Apr 15, 2022 ¥8.71 ¥8.80 ¥8.26 ¥8.39 6 473 846
Apr 14, 2022 ¥8.67 ¥8.83 ¥8.63 ¥8.81 2 144 086
Apr 13, 2022 ¥9.25 ¥9.30 ¥8.65 ¥8.67 8 684 537
Apr 12, 2022 ¥9.20 ¥9.39 ¥9.01 ¥9.39 7 669 122
Apr 11, 2022 ¥9.45 ¥9.55 ¥9.11 ¥9.26 14 587 443
Apr 08, 2022 ¥9.47 ¥9.92 ¥9.13 ¥9.67 18 376 317
Apr 07, 2022 ¥9.19 ¥10.01 ¥9.07 ¥9.46 24 172 209
Apr 06, 2022 ¥9.06 ¥9.30 ¥9.01 ¥9.10 9 650 695
Apr 01, 2022 ¥9.70 ¥9.70 ¥9.00 ¥9.00 21 321 568

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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