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Range Low Price High Price Comment
30 days ¥2.41 ¥3.40 Friday, 31st May 2024 000517.SZ stock ended at ¥2.88. This is 0.348% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.46% from a day low at ¥2.84 to a day high of ¥2.91.
90 days ¥2.06 ¥3.40
52 weeks ¥1.87 ¥3.55

Historical Rongan Property Co Ltd prices

Date Open High Low Close Volume
Apr 22, 2024 ¥2.12 ¥2.13 ¥2.08 ¥2.09 11 704 800
Apr 19, 2024 ¥2.18 ¥2.18 ¥2.11 ¥2.11 14 226 711
Apr 18, 2024 ¥2.18 ¥2.18 ¥2.12 ¥2.13 14 916 060
Apr 17, 2024 ¥2.18 ¥2.18 ¥2.07 ¥2.16 28 856 279
Apr 16, 2024 ¥2.18 ¥2.18 ¥2.06 ¥2.07 22 033 700
Apr 15, 2024 ¥2.18 ¥2.18 ¥2.07 ¥2.11 24 264 021
Apr 12, 2024 ¥2.28 ¥2.28 ¥2.14 ¥2.14 16 632 300
Apr 11, 2024 ¥2.28 ¥2.28 ¥2.16 ¥2.19 16 045 500
Apr 10, 2024 ¥2.28 ¥2.28 ¥2.16 ¥2.18 27 211 100
Apr 09, 2024 ¥2.28 ¥2.28 ¥2.23 ¥2.25 19 287 997
Apr 08, 2024 ¥2.28 ¥2.28 ¥2.23 ¥2.24 22 773 617
Apr 03, 2024 ¥2.27 ¥2.30 ¥2.25 ¥2.26 19 945 855
Apr 02, 2024 ¥2.27 ¥2.32 ¥2.26 ¥2.29 26 818 274
Apr 01, 2024 ¥2.27 ¥2.30 ¥2.25 ¥2.28 25 660 384
Mar 29, 2024 ¥2.29 ¥2.29 ¥2.23 ¥2.26 30 690 400
Mar 28, 2024 ¥2.29 ¥2.31 ¥2.27 ¥2.28 34 927 482
Mar 27, 2024 ¥2.29 ¥2.37 ¥2.28 ¥2.29 44 778 398
Mar 26, 2024 ¥2.29 ¥2.39 ¥2.28 ¥2.39 59 592 620
Mar 25, 2024 ¥2.27 ¥2.35 ¥2.25 ¥2.28 35 672 300
Mar 22, 2024 ¥2.33 ¥2.34 ¥2.25 ¥2.28 34 245 101
Mar 21, 2024 ¥2.30 ¥2.37 ¥2.30 ¥2.34 45 080 780
Mar 20, 2024 ¥2.29 ¥2.31 ¥2.28 ¥2.30 20 688 750
Mar 19, 2024 ¥2.31 ¥2.32 ¥2.29 ¥2.29 29 028 200
Mar 18, 2024 ¥2.31 ¥2.33 ¥2.28 ¥2.32 36 183 430
Mar 15, 2024 ¥2.32 ¥2.34 ¥2.27 ¥2.31 40 820 603

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 000517.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000517.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 000517.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 Rongan Property Co Ltd

Rongan Property Co Ltd Rongan Property Co.,Ltd. develops and sells real estate properties in China. The company develops residential and commercial properties, business stores, office buildings, etc. It also provides property management services. The company was founded in 1965 and is based in Ningbo, China.... 000517.SZ Profile

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