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Range Low Price High Price Comment
30 days ¥5.27 ¥5.94 Friday, 17th May 2024 000690.SZ stock ended at ¥5.35. This is 0.558% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 7.40% from a day low at ¥5.27 to a day high of ¥5.66.
90 days ¥4.74 ¥5.94
52 weeks ¥4.28 ¥7.95

Historical Guangdong Baolihua New Energy Stock Co., prices

Date Open High Low Close Volume
Dec 15, 2023 ¥4.58 ¥4.62 ¥4.52 ¥4.52 21 666 500
Dec 14, 2023 ¥4.58 ¥4.62 ¥4.55 ¥4.58 20 075 215
Dec 13, 2023 ¥4.59 ¥4.61 ¥4.56 ¥4.56 22 241 311
Dec 12, 2023 ¥4.55 ¥4.61 ¥4.54 ¥4.58 22 519 210
Dec 11, 2023 ¥4.46 ¥4.57 ¥4.42 ¥4.57 41 530 510
Dec 08, 2023 ¥4.46 ¥4.54 ¥4.46 ¥4.46 35 667 731
Dec 07, 2023 ¥4.51 ¥4.51 ¥4.44 ¥4.45 35 470 980
Dec 06, 2023 ¥4.51 ¥4.53 ¥4.44 ¥4.51 42 849 060
Dec 05, 2023 ¥4.62 ¥4.65 ¥4.49 ¥4.52 55 900 611
Dec 04, 2023 ¥4.68 ¥4.69 ¥4.62 ¥4.63 28 578 044
Dec 01, 2023 ¥4.62 ¥4.69 ¥4.60 ¥4.68 31 107 988
Nov 30, 2023 ¥4.70 ¥4.73 ¥4.53 ¥4.61 55 621 752
Nov 29, 2023 ¥4.84 ¥4.86 ¥4.69 ¥4.72 58 917 508
Nov 28, 2023 ¥4.79 ¥4.85 ¥4.79 ¥4.85 29 870 574
Nov 27, 2023 ¥4.78 ¥4.82 ¥4.75 ¥4.80 36 361 870
Nov 24, 2023 ¥4.83 ¥4.85 ¥4.78 ¥4.80 30 482 300
Nov 23, 2023 ¥4.79 ¥4.83 ¥4.77 ¥4.83 30 652 101
Nov 22, 2023 ¥4.84 ¥4.87 ¥4.79 ¥4.79 47 553 400
Nov 21, 2023 ¥4.88 ¥4.92 ¥4.84 ¥4.85 54 819 811
Nov 20, 2023 ¥4.94 ¥4.95 ¥4.87 ¥4.89 62 907 535
Nov 17, 2023 ¥4.90 ¥4.95 ¥4.87 ¥4.94 36 265 984
Nov 16, 2023 ¥5.00 ¥5.01 ¥4.91 ¥4.91 65 939 650
Nov 15, 2023 ¥5.08 ¥5.10 ¥4.99 ¥5.02 115 411 000
Nov 14, 2023 ¥4.93 ¥5.18 ¥4.90 ¥5.09 143 755 310
Nov 13, 2023 ¥4.92 ¥5.07 ¥4.82 ¥4.93 86 571 546

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 000690.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000690.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 000690.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 Guangdong Baolihua New Energy Stock Co.,

Guangdong Baolihua New Energy Stock Co. Guangdong Baolihua New Energy Stock Co., Ltd. engages in the power and finance business in China. The company generates power using coal and wind sources. It also provides financial investment services; and constructs houses, as well as provides highway and pavement engineering contracting services. The company is based in Guangzhou, China.... 000690.SZ Profile

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