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Range Low Price High Price Comment
30 days ¥1.00 ¥1.72 Friday, 17th May 2024 000656.SZ stock ended at ¥1.61. This is 1.83% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 32.31% from a day low at ¥1.30 to a day high of ¥1.72.
90 days ¥1.00 ¥1.74
52 weeks ¥0.770 ¥2.75

Historical Jinke Property Group Co Ltd prices

Date Open High Low Close Volume
May 17, 2024 ¥1.30 ¥1.72 ¥1.30 ¥1.61 557 156 815
May 16, 2024 ¥1.30 ¥1.64 ¥1.30 ¥1.64 127 148 600
May 15, 2024 ¥1.30 ¥1.56 ¥1.30 ¥1.56 144 204 966
May 14, 2024 ¥1.30 ¥1.49 ¥1.30 ¥1.49 274 230 338
May 13, 2024 ¥1.30 ¥1.42 ¥1.30 ¥1.42 198 184 574
May 10, 2024 ¥1.28 ¥1.35 ¥1.28 ¥1.35 284 710 991
May 09, 2024 ¥1.13 ¥1.35 ¥1.13 ¥1.29 336 825 858
May 08, 2024 ¥1.13 ¥1.31 ¥1.13 ¥1.30 284 998 765
May 07, 2024 ¥1.13 ¥1.25 ¥1.13 ¥1.25 354 379 000
May 06, 2024 ¥1.13 ¥1.19 ¥1.13 ¥1.19 37 484 739
Apr 30, 2024 ¥1.03 ¥1.13 ¥1.00 ¥1.13 22 623 025
Apr 29, 2024 ¥1.03 ¥1.08 ¥1.00 ¥1.08 252 019 721
Apr 26, 2024 ¥1.23 ¥1.25 ¥1.03 ¥1.03 32 596 900
Apr 25, 2024 ¥1.23 ¥1.25 ¥1.08 ¥1.08 8 267 000
Apr 24, 2024 ¥1.23 ¥1.25 ¥1.14 ¥1.14 30 021 700
Apr 23, 2024 ¥1.20 ¥1.20 ¥1.20 ¥1.20 0
Apr 22, 2024 ¥1.23 ¥1.25 ¥1.20 ¥1.20 101 602 628
Apr 19, 2024 ¥1.37 ¥1.37 ¥1.20 ¥1.21 111 981 400
Apr 18, 2024 ¥1.37 ¥1.37 ¥1.24 ¥1.24 103 218 275
Apr 17, 2024 ¥1.37 ¥1.37 ¥1.16 ¥1.27 191 370 800
Apr 16, 2024 ¥1.37 ¥1.37 ¥1.18 ¥1.18 178 722 106
Apr 15, 2024 ¥1.37 ¥1.37 ¥1.20 ¥1.26 202 904 654
Apr 12, 2024 ¥1.43 ¥1.43 ¥1.32 ¥1.33 117 176 600
Apr 11, 2024 ¥1.43 ¥1.43 ¥1.36 ¥1.38 73 116 139
Apr 10, 2024 ¥1.43 ¥1.43 ¥1.36 ¥1.38 91 282 401

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 000656.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000656.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 000656.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 Jinke Property Group Co Ltd

Jinke Property Group Co., Ltd. engages in the real estate development business in China. The company also provides intelligent service solutions to residential and commercial buildings, industrial parks, public buildings, rail transit, colleges and universities, hospitals, cultural tourism attractions, enterprises, and institutions; invests and operates in science and technology sector; and offers commerce, cultural tourism, and health care servi... 000656.SZ Profile

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