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Range Low Price High Price Comment
30 days ¥3.75 ¥4.52 Friday, 17th May 2024 000595.SZ stock ended at ¥4.18. This is 0.97% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.90% from a day low at ¥4.10 to a day high of ¥4.26.
90 days ¥3.43 ¥5.39
52 weeks ¥3.14 ¥6.90

Historical Baota Industry Co Ltd prices

Date Open High Low Close Volume
Jan 03, 2022 ¥3.20 ¥3.20 ¥3.20 ¥3.20 0
Dec 31, 2021 ¥3.29 ¥3.30 ¥3.18 ¥3.19 26 912 020
Dec 30, 2021 ¥3.21 ¥3.39 ¥3.19 ¥3.31 35 765 456
Dec 29, 2021 ¥3.20 ¥3.27 ¥3.17 ¥3.20 9 030 700
Dec 28, 2021 ¥3.23 ¥3.27 ¥3.18 ¥3.22 18 462 100
Dec 27, 2021 ¥3.20 ¥3.27 ¥3.17 ¥3.25 21 564 096
Dec 24, 2021 ¥3.41 ¥3.41 ¥3.18 ¥3.23 36 970 384
Dec 23, 2021 ¥3.51 ¥3.54 ¥3.33 ¥3.37 43 892 800
Dec 22, 2021 ¥3.52 ¥3.63 ¥3.43 ¥3.48 46 075 206
Dec 21, 2021 ¥3.68 ¥3.76 ¥3.42 ¥3.57 62 101 205
Dec 20, 2021 ¥3.84 ¥4.10 ¥3.70 ¥3.76 87 104 360
Dec 17, 2021 ¥3.53 ¥4.10 ¥3.53 ¥4.00 115 890 710
Dec 16, 2021 ¥3.97 ¥4.00 ¥3.64 ¥3.73 128 990 362
Dec 15, 2021 ¥3.50 ¥3.64 ¥3.41 ¥3.64 30 023 708
Dec 14, 2021 ¥2.97 ¥3.31 ¥2.97 ¥3.31 33 703 472
Dec 13, 2021 ¥3.11 ¥3.20 ¥2.98 ¥3.01 64 916 054
Dec 10, 2021 ¥3.19 ¥3.42 ¥3.08 ¥3.25 98 606 998
Dec 09, 2021 ¥3.15 ¥2.86 ¥2.57 ¥3.15 8 874 000
Dec 08, 2021 ¥2.60 ¥2.86 ¥2.57 ¥2.86 28 959 196
Dec 07, 2021 ¥2.56 ¥2.63 ¥2.53 ¥2.60 6 576 300
Dec 06, 2021 ¥2.61 ¥2.61 ¥2.54 ¥2.55 6 332 200
Dec 03, 2021 ¥2.60 ¥2.64 ¥2.59 ¥2.61 5 144 300
Dec 02, 2021 ¥2.66 ¥2.68 ¥2.60 ¥2.60 8 279 422
Dec 01, 2021 ¥2.70 ¥2.70 ¥2.64 ¥2.67 8 421 736
Nov 30, 2021 ¥2.73 ¥2.84 ¥2.66 ¥2.70 18 348 507

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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