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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
Oct 06, 2023 ¥5.39 ¥5.39 ¥5.39 ¥5.39 0
Sep 28, 2023 ¥5.43 ¥5.46 ¥5.35 ¥5.39 27 643 593
Sep 27, 2023 ¥5.41 ¥5.48 ¥5.34 ¥5.37 45 156 065
Sep 26, 2023 ¥5.40 ¥5.45 ¥5.35 ¥5.38 29 837 700
Sep 25, 2023 ¥5.51 ¥5.52 ¥5.30 ¥5.38 47 818 612
Sep 22, 2023 ¥5.52 ¥5.57 ¥5.45 ¥5.53 27 507 408
Sep 21, 2023 ¥5.65 ¥5.66 ¥5.50 ¥5.53 33 863 650
Sep 20, 2023 ¥5.73 ¥5.73 ¥5.62 ¥5.64 23 991 458
Sep 19, 2023 ¥5.71 ¥5.76 ¥5.69 ¥5.72 14 724 137
Sep 18, 2023 ¥5.69 ¥5.73 ¥5.67 ¥5.70 16 526 866
Sep 15, 2023 ¥5.76 ¥5.76 ¥5.69 ¥5.73 17 491 700
Sep 14, 2023 ¥5.73 ¥5.82 ¥5.69 ¥5.75 22 315 442
Sep 13, 2023 ¥5.72 ¥5.79 ¥5.68 ¥5.74 19 179 541
Sep 12, 2023 ¥5.76 ¥5.86 ¥5.70 ¥5.74 31 434 001
Sep 11, 2023 ¥5.75 ¥5.80 ¥5.66 ¥5.78 29 248 762
Sep 08, 2023 ¥5.60 ¥5.85 ¥5.57 ¥5.78 37 057 662
Sep 07, 2023 ¥5.76 ¥5.77 ¥5.58 ¥5.64 31 904 600
Sep 06, 2023 ¥5.81 ¥5.93 ¥5.76 ¥5.78 25 898 112
Sep 05, 2023 ¥5.75 ¥5.87 ¥5.71 ¥5.82 34 342 850
Sep 04, 2023 ¥5.83 ¥5.84 ¥5.65 ¥5.76 48 525 922
Sep 01, 2023 ¥5.78 ¥5.81 ¥5.74 ¥5.78 20 061 750
Aug 31, 2023 ¥5.83 ¥5.85 ¥5.73 ¥5.75 27 645 500
Aug 30, 2023 ¥5.95 ¥6.05 ¥5.77 ¥5.81 46 851 826
Aug 29, 2023 ¥5.96 ¥6.06 ¥5.92 ¥5.99 27 845 525
Aug 28, 2023 ¥6.20 ¥6.25 ¥5.93 ¥5.95 28 774 473

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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