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Range Low Price High Price Comment
30 days ¥0.90 ¥1.20 Friday, 17th May 2024 002505.SZ stock ended at ¥1.02. This is 5.15% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 10.42% from a day low at ¥0.96 to a day high of ¥1.06.
90 days ¥0.90 ¥1.45
52 weeks ¥0.90 ¥2.37

Historical Hunan Dakang Intrntnl Food & Agri Co Ltd prices

Date Open High Low Close Volume
May 17, 2024 ¥1.06 ¥1.06 ¥0.96 ¥1.02 118 128 605
May 16, 2024 ¥1.06 ¥1.06 ¥0.97 ¥0.97 62 901 953
May 15, 2024 ¥1.06 ¥1.06 ¥0.98 ¥0.99 66 952 480
May 14, 2024 ¥1.06 ¥1.06 ¥0.99 ¥1.00 97 008 207
May 13, 2024 ¥1.06 ¥1.06 ¥1.03 ¥1.03 59 562 575
May 10, 2024 ¥1.06 ¥1.07 ¥1.04 ¥1.06 52 305 720
May 09, 2024 ¥1.13 ¥1.13 ¥1.05 ¥1.06 57 963 994
May 08, 2024 ¥1.13 ¥1.13 ¥1.05 ¥1.06 115 362 291
May 07, 2024 ¥1.13 ¥1.13 ¥1.05 ¥1.09 127 290 203
May 06, 2024 ¥1.13 ¥1.13 ¥1.04 ¥1.07 130 325 292
Apr 30, 2024 ¥0.91 ¥1.20 ¥0.91 ¥1.08 217 748 936
Apr 29, 2024 ¥0.91 ¥1.10 ¥0.91 ¥1.10 154 257 640
Apr 26, 2024 ¥1.01 ¥1.01 ¥0.91 ¥1.00 206 716 203
Apr 25, 2024 ¥1.01 ¥1.01 ¥0.90 ¥0.91 131 125 700
Apr 24, 2024 ¥1.01 ¥1.01 ¥0.93 ¥0.94 93 743 036
Apr 23, 2024 ¥1.01 ¥1.04 ¥0.98 ¥0.98 98 294 840
Apr 22, 2024 ¥1.01 ¥1.02 ¥0.94 ¥1.01 164 889 903
Apr 19, 2024 ¥1.18 ¥1.18 ¥0.92 ¥0.99 226 228 509
Apr 18, 2024 ¥1.18 ¥1.18 ¥1.01 ¥1.02 132 083 120
Apr 17, 2024 ¥1.18 ¥1.18 ¥1.01 ¥1.07 86 692 951
Apr 16, 2024 ¥1.18 ¥1.18 ¥1.02 ¥1.03 105 983 740
Apr 15, 2024 ¥1.18 ¥1.18 ¥1.05 ¥1.08 111 906 797
Apr 12, 2024 ¥1.24 ¥1.24 ¥1.10 ¥1.13 89 494 962
Apr 11, 2024 ¥1.24 ¥1.24 ¥1.16 ¥1.18 55 363 380
Apr 10, 2024 ¥1.24 ¥1.24 ¥1.18 ¥1.19 49 830 043

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 002505.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002505.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 002505.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 Hunan Dakang Intrntnl Food & Agri Co Ltd

Pengdu Agriculture & Animal Husbandry Co.,Ltd. engages in the grain trade, beef cattle, dairy, mutton sheep, and food distribution businesses in China and internationally. The company trades in grain, corn, wheat, and other grains, as well as pesticides and fertilizers; breeds and produces mutton sheep; operates dairy farms; and supplies milk. It is also involved in the breeding, slaughtering, processing, and sale of beef cattle; breeding and sel... 002505.SZ Profile

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