Range Low Price High Price Comment
30 days ¥2.58 ¥2.93 Tuesday, 2nd Jul 2024 000517.SZ stock ended at ¥2.79. This is 1.06% less than the trading day before Monday, 1st Jul 2024. During the day the stock fluctuated 6.77% from a day low at ¥2.66 to a day high of ¥2.84.
90 days ¥2.06 ¥3.40
52 weeks ¥1.87 ¥3.55

Historical Rongan Property Co Ltd prices

Date Open High Low Close Volume
Jul 02, 2024 ¥2.66 ¥2.84 ¥2.66 ¥2.79 29 512 977
Jul 01, 2024 ¥2.66 ¥2.82 ¥2.66 ¥2.82 44 219 420
Jun 28, 2024 ¥2.67 ¥2.73 ¥2.65 ¥2.68 25 081 424
Jun 27, 2024 ¥2.67 ¥2.72 ¥2.67 ¥2.67 23 537 136
Jun 26, 2024 ¥2.67 ¥2.70 ¥2.63 ¥2.69 22 952 274
Jun 25, 2024 ¥2.67 ¥2.70 ¥2.58 ¥2.64 25 346 688
Jun 24, 2024 ¥2.67 ¥2.68 ¥2.59 ¥2.60 22 678 500
Jun 21, 2024 ¥2.72 ¥2.72 ¥2.66 ¥2.69 20 605 745
Jun 20, 2024 ¥2.72 ¥2.72 ¥2.65 ¥2.66 23 932 300
Jun 18, 2024 ¥2.72 ¥2.74 ¥2.70 ¥2.72 16 030 676
Jun 17, 2024 ¥2.72 ¥2.75 ¥2.70 ¥2.72 18 437 800
Jun 14, 2024 ¥2.75 ¥2.77 ¥2.68 ¥2.75 32 012 170
Jun 13, 2024 ¥2.75 ¥2.80 ¥2.70 ¥2.72 28 044 600
Jun 12, 2024 ¥2.75 ¥2.77 ¥2.74 ¥2.76 16 696 446
Jun 11, 2024 ¥2.75 ¥2.80 ¥2.73 ¥2.76 25 905 796
Jun 07, 2024 ¥2.87 ¥2.87 ¥2.73 ¥2.78 32 176 040
Jun 06, 2024 ¥2.87 ¥2.87 ¥2.71 ¥2.75 43 999 015
Jun 05, 2024 ¥2.87 ¥2.89 ¥2.81 ¥2.82 34 814 303
Jun 04, 2024 ¥2.87 ¥2.93 ¥2.81 ¥2.90 53 558 500
Jun 03, 2024 ¥2.87 ¥2.88 ¥2.79 ¥2.85 43 171 200
May 31, 2024 ¥2.87 ¥2.91 ¥2.84 ¥2.88 34 726 468
May 30, 2024 ¥3.05 ¥3.05 ¥2.85 ¥2.87 38 858 600
May 29, 2024 ¥3.05 ¥3.05 ¥2.86 ¥2.92 52 760 923
May 28, 2024 ¥3.05 ¥3.05 ¥2.88 ¥2.88 52 061 500
May 24, 2024 ¥2.68 ¥3.06 ¥2.68 ¥2.96 73 254 200

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.
Click to get the best stock tips daily for free!

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

Top Fintech Company

StockInvest.us featured in The Global Fintech Index 2020 as the top Fintech company of the country.

Full report by FINDEXABLE

ROCKIT