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Range Low Price High Price Comment
30 days ¥5.01 ¥5.46 Monday, 17th Jun 2024 000690.SZ stock ended at ¥5.07. This is 0.783% less than the trading day before Friday, 14th Jun 2024. During the day the stock fluctuated 2.57% from a day low at ¥5.05 to a day high of ¥5.18.
90 days ¥4.74 ¥5.94
52 weeks ¥4.28 ¥7.32

Historical Guangdong Baolihua New Energy Stock Co., prices

Date Open High Low Close Volume
Nov 28, 2022 ¥6.41 ¥6.71 ¥6.24 ¥6.62 95 464 494
Nov 25, 2022 ¥6.45 ¥6.54 ¥6.37 ¥6.45 27 821 310
Nov 24, 2022 ¥6.36 ¥6.54 ¥6.36 ¥6.45 59 974 933
Nov 23, 2022 ¥6.30 ¥6.40 ¥6.18 ¥6.33 43 211 317
Nov 22, 2022 ¥6.40 ¥6.55 ¥6.25 ¥6.30 53 696 873
Nov 21, 2022 ¥6.18 ¥6.63 ¥6.12 ¥6.38 79 518 268
Nov 18, 2022 ¥5.81 ¥6.34 ¥5.74 ¥6.26 97 273 563
Nov 17, 2022 ¥5.81 ¥5.96 ¥5.70 ¥5.82 76 257 268
Nov 16, 2022 ¥5.88 ¥5.98 ¥5.79 ¥5.98 107 112 630
Nov 15, 2022 ¥5.40 ¥5.47 ¥5.38 ¥5.44 14 389 004
Nov 14, 2022 ¥5.36 ¥5.51 ¥5.36 ¥5.38 30 774 526
Nov 11, 2022 ¥5.47 ¥5.52 ¥5.35 ¥5.37 21 823 145
Nov 10, 2022 ¥5.46 ¥5.61 ¥5.41 ¥5.43 53 821 650
Nov 09, 2022 ¥5.40 ¥5.47 ¥5.34 ¥5.43 30 775 145
Nov 08, 2022 ¥5.44 ¥5.49 ¥5.36 ¥5.45 22 581 829
Nov 07, 2022 ¥5.56 ¥5.61 ¥5.34 ¥5.42 41 871 492
Nov 04, 2022 ¥5.55 ¥5.68 ¥5.51 ¥5.56 26 480 963
Nov 03, 2022 ¥5.58 ¥5.65 ¥5.53 ¥5.60 25 259 775
Nov 02, 2022 ¥5.39 ¥5.66 ¥5.37 ¥5.59 66 022 050
Nov 01, 2022 ¥5.35 ¥5.44 ¥5.27 ¥5.41 30 488 780
Oct 31, 2022 ¥5.29 ¥5.45 ¥5.17 ¥5.37 47 155 271
Oct 28, 2022 ¥5.11 ¥5.48 ¥5.10 ¥5.30 148 681 904
Oct 27, 2022 ¥4.91 ¥5.08 ¥4.90 ¥5.03 44 472 613
Oct 26, 2022 ¥5.01 ¥5.06 ¥4.85 ¥4.88 24 088 230
Oct 25, 2022 ¥5.01 ¥5.05 ¥4.91 ¥5.00 12 296 193

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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