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Range Low Price High Price Comment
30 days ¥2.20 ¥2.52 Friday, 28th Jun 2024 200541.SZ stock ended at ¥2.45. This is 0.82% more than the trading day before Thursday, 27th Jun 2024. During the day the stock fluctuated 2.06% from a day low at ¥2.43 to a day high of ¥2.48.
90 days ¥2.12 ¥2.52
52 weeks ¥1.85 ¥2.52

Historical Foshan Electrical and Lighting Co.,Ltd prices

Date Open High Low Close Volume
Jun 28, 2024 ¥2.44 ¥2.48 ¥2.43 ¥2.45 564 689
Jun 27, 2024 ¥2.44 ¥2.45 ¥2.42 ¥2.43 274 900
Jun 26, 2024 ¥2.44 ¥2.44 ¥2.40 ¥2.43 320 777
Jun 25, 2024 ¥2.40 ¥2.45 ¥2.40 ¥2.43 275 506
Jun 24, 2024 ¥2.40 ¥2.52 ¥2.36 ¥2.41 1 938 486
Jun 21, 2024 ¥2.31 ¥2.40 ¥2.31 ¥2.38 1 555 817
Jun 20, 2024 ¥2.31 ¥2.33 ¥2.31 ¥2.31 110 591
Jun 18, 2024 ¥2.31 ¥2.32 ¥2.29 ¥2.32 212 891
Jun 17, 2024 ¥2.32 ¥2.33 ¥2.31 ¥2.31 191 812
Jun 14, 2024 ¥2.21 ¥2.35 ¥2.21 ¥2.33 2 022 856
Jun 13, 2024 ¥2.21 ¥2.25 ¥2.21 ¥2.25 54 308
Jun 12, 2024 ¥2.21 ¥2.25 ¥2.21 ¥2.25 125 911
Jun 11, 2024 ¥2.21 ¥2.24 ¥2.21 ¥2.24 65 929
Jun 07, 2024 ¥2.22 ¥2.22 ¥2.20 ¥2.22 154 563
Jun 06, 2024 ¥2.23 ¥2.24 ¥2.20 ¥2.21 423 980
Jun 05, 2024 ¥2.27 ¥2.27 ¥2.23 ¥2.24 431 492
Jun 04, 2024 ¥2.34 ¥2.34 ¥2.27 ¥2.28 189 300
Jun 03, 2024 ¥2.25 ¥2.40 ¥2.23 ¥2.29 1 570 268
May 31, 2024 ¥2.25 ¥2.25 ¥2.23 ¥2.25 261 578
May 30, 2024 ¥2.24 ¥2.25 ¥2.23 ¥2.25 178 076
May 29, 2024 ¥2.21 ¥2.24 ¥2.21 ¥2.24 355 143
May 28, 2024 ¥2.21 ¥2.23 ¥2.21 ¥2.23 149 100
May 27, 2024 ¥2.21 ¥2.22 ¥2.20 ¥2.22 97 000
May 24, 2024 ¥2.20 ¥2.22 ¥2.20 ¥2.22 141 612
May 23, 2024 ¥2.22 ¥2.23 ¥2.20 ¥2.22 508 680

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 200541.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 200541.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 200541.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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