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Range Low Price High Price Comment
30 days ¥3.78 ¥4.50 Friday, 31st May 2024 000595.SZ stock ended at ¥3.94. This is 3.96% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 5.01% from a day low at ¥3.79 to a day high of ¥3.98.
90 days ¥3.75 ¥5.39
52 weeks ¥3.14 ¥6.90

Historical Baota Industry Co Ltd prices

Date Open High Low Close Volume
Oct 10, 2022 ¥6.42 ¥6.65 ¥6.22 ¥6.52 84 008 100
Sep 30, 2022 ¥6.63 ¥6.68 ¥6.20 ¥6.27 41 203 514
Sep 29, 2022 ¥7.06 ¥7.10 ¥6.56 ¥6.60 79 627 248
Sep 28, 2022 ¥7.24 ¥7.36 ¥6.97 ¥7.01 44 590 902
Sep 27, 2022 ¥7.55 ¥7.55 ¥7.13 ¥7.36 48 125 782
Sep 26, 2022 ¥7.53 ¥7.66 ¥7.31 ¥7.39 51 120 768
Sep 23, 2022 ¥7.92 ¥7.95 ¥7.37 ¥7.52 72 687 401
Sep 22, 2022 ¥7.73 ¥8.14 ¥7.69 ¥7.82 80 730 547
Sep 21, 2022 ¥7.70 ¥8.25 ¥7.58 ¥7.92 114 960 376
Sep 20, 2022 ¥6.96 ¥7.69 ¥6.90 ¥7.69 67 434 779
Sep 19, 2022 ¥6.86 ¥7.15 ¥6.74 ¥6.99 52 174 896
Sep 16, 2022 ¥7.23 ¥7.37 ¥6.87 ¥6.87 72 254 710
Sep 15, 2022 ¥8.27 ¥8.28 ¥7.48 ¥7.48 94 341 936
Sep 14, 2022 ¥8.45 ¥8.55 ¥8.21 ¥8.31 77 076 498
Sep 13, 2022 ¥8.10 ¥8.88 ¥8.06 ¥8.69 105 667 367
Sep 09, 2022 ¥8.27 ¥8.79 ¥8.19 ¥8.36 104 846 316
Sep 08, 2022 ¥8.40 ¥8.59 ¥8.10 ¥8.16 158 001 000
Sep 07, 2022 ¥8.54 ¥9.19 ¥8.37 ¥8.62 183 715 863
Sep 06, 2022 ¥7.60 ¥8.45 ¥7.46 ¥8.45 103 432 516
Sep 05, 2022 ¥7.60 ¥8.00 ¥7.37 ¥7.68 107 723 292
Sep 02, 2022 ¥8.30 ¥9.03 ¥8.01 ¥8.10 193 833 766
Sep 01, 2022 ¥7.40 ¥8.27 ¥7.25 ¥8.27 144 523 736
Aug 31, 2022 ¥7.21 ¥7.80 ¥7.13 ¥7.51 137 218 640
Aug 30, 2022 ¥7.56 ¥7.57 ¥7.17 ¥7.20 54 068 920
Aug 29, 2022 ¥7.29 ¥7.64 ¥7.14 ¥7.59 99 663 398

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 000595.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000595.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 000595.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 Baota Industry Co Ltd

Baota Industry Co., Ltd. manufactures and sells bearings primarily in China. The company offers deep groove ball, cylindrical roller, spherical and needle roller, angular contact ball, tapered roller, thrust ball and roller, and spherical plain bearings. Its products are used in various industries, including rail transit, military, precision motors, petroleum machinery, metallurgy machinery, heavy truck, construction machinery, mining machinery, ... 000595.SZ Profile

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