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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
Jan 03, 2022 ¥5.93 ¥5.93 ¥5.93 ¥5.93 0
Dec 31, 2021 ¥5.81 ¥6.13 ¥5.80 ¥5.92 52 500 256
Dec 30, 2021 ¥5.83 ¥5.90 ¥5.78 ¥5.80 29 272 793
Dec 29, 2021 ¥5.88 ¥5.89 ¥5.74 ¥5.83 28 309 231
Dec 28, 2021 ¥6.00 ¥6.08 ¥5.82 ¥5.88 50 554 234
Dec 27, 2021 ¥5.81 ¥6.28 ¥5.76 ¥6.06 71 693 594
Dec 24, 2021 ¥5.93 ¥6.10 ¥5.77 ¥5.80 56 722 624
Dec 23, 2021 ¥5.82 ¥6.00 ¥5.67 ¥5.93 64 651 743
Dec 22, 2021 ¥5.87 ¥5.88 ¥5.78 ¥5.83 29 472 879
Dec 21, 2021 ¥5.90 ¥5.95 ¥5.78 ¥5.84 37 180 757
Dec 20, 2021 ¥6.17 ¥6.18 ¥5.86 ¥5.88 51 725 601
Dec 17, 2021 ¥6.08 ¥6.22 ¥6.05 ¥6.15 41 141 522
Dec 16, 2021 ¥6.21 ¥6.25 ¥6.01 ¥6.12 44 590 977
Dec 15, 2021 ¥6.03 ¥6.27 ¥6.02 ¥6.19 38 688 919
Dec 14, 2021 ¥6.17 ¥6.24 ¥6.06 ¥6.10 32 592 148
Dec 13, 2021 ¥6.21 ¥6.27 ¥6.11 ¥6.19 41 095 826
Dec 10, 2021 ¥6.17 ¥6.23 ¥6.05 ¥6.08 40 183 495
Dec 09, 2021 ¥6.16 ¥6.39 ¥6.14 ¥6.17 66 948 131
Dec 08, 2021 ¥6.11 ¥6.19 ¥6.01 ¥6.12 50 111 820
Dec 07, 2021 ¥6.00 ¥6.15 ¥5.88 ¥6.14 68 085 905
Dec 06, 2021 ¥5.66 ¥6.19 ¥5.66 ¥6.15 116 917 000
Dec 03, 2021 ¥5.42 ¥5.65 ¥5.40 ¥5.63 41 827 840
Dec 02, 2021 ¥5.51 ¥5.53 ¥5.42 ¥5.42 18 529 220
Dec 01, 2021 ¥5.37 ¥5.52 ¥5.34 ¥5.51 29 830 795
Nov 30, 2021 ¥5.43 ¥5.54 ¥5.34 ¥5.37 32 277 739

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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