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Range Low Price High Price Comment
30 days ¥4.48 ¥5.06 Friday, 17th May 2024 000060.SZ stock ended at ¥4.81. This is 2.12% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.00% from a day low at ¥4.67 to a day high of ¥4.95.
90 days ¥4.20 ¥5.25
52 weeks ¥3.57 ¥6.25

Historical Shenzhen Zhongjin Lingnan Nfmt Co Ltd prices

Date Open High Low Close Volume
Feb 11, 2022 ¥4.95 ¥5.04 ¥4.92 ¥4.94 48 134 752
Feb 10, 2022 ¥4.97 ¥5.08 ¥4.93 ¥4.98 62 405 665
Feb 09, 2022 ¥4.84 ¥4.94 ¥4.80 ¥4.94 61 195 615
Feb 08, 2022 ¥4.70 ¥4.83 ¥4.69 ¥4.82 47 091 857
Feb 07, 2022 ¥4.62 ¥4.73 ¥4.62 ¥4.69 35 836 781
Feb 05, 2022 ¥4.56 ¥4.56 ¥4.56 ¥4.56 0
Jan 28, 2022 ¥4.55 ¥4.60 ¥4.48 ¥4.57 45 345 927
Jan 27, 2022 ¥4.66 ¥4.67 ¥4.51 ¥4.51 30 684 045
Jan 26, 2022 ¥4.62 ¥4.69 ¥4.62 ¥4.66 21 779 056
Jan 25, 2022 ¥4.73 ¥4.76 ¥4.60 ¥4.62 37 056 451
Jan 24, 2022 ¥4.89 ¥4.90 ¥4.71 ¥4.76 45 200 020
Jan 21, 2022 ¥4.92 ¥4.95 ¥4.88 ¥4.92 35 979 836
Jan 20, 2022 ¥4.95 ¥5.00 ¥4.91 ¥4.94 39 595 347
Jan 19, 2022 ¥4.93 ¥4.96 ¥4.89 ¥4.91 32 591 551
Jan 18, 2022 ¥4.94 ¥4.96 ¥4.90 ¥4.94 31 386 763
Jan 17, 2022 ¥4.92 ¥4.98 ¥4.89 ¥4.94 37 059 493
Jan 14, 2022 ¥5.06 ¥5.08 ¥4.94 ¥4.94 52 155 460
Jan 13, 2022 ¥5.07 ¥5.22 ¥5.05 ¥5.05 85 814 162
Jan 12, 2022 ¥5.05 ¥5.06 ¥5.00 ¥5.06 52 007 011
Jan 11, 2022 ¥4.94 ¥5.02 ¥4.92 ¥5.00 42 349 127
Jan 10, 2022 ¥4.92 ¥4.96 ¥4.91 ¥4.95 34 074 394
Jan 07, 2022 ¥4.91 ¥4.96 ¥4.90 ¥4.94 39 625 831
Jan 06, 2022 ¥4.89 ¥4.93 ¥4.88 ¥4.91 29 660 241
Jan 05, 2022 ¥4.95 ¥4.97 ¥4.88 ¥4.90 35 905 739
Jan 04, 2022 ¥4.92 ¥4.97 ¥4.88 ¥4.97 48 618 316

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 000060.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000060.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 000060.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 Shenzhen Zhongjin Lingnan Nfmt Co Ltd

Shenzhen Zhongjin Lingnan Nfmt Co Ltd Shenzhen Zhongjin Lingnan Nonfemet Co. Ltd. engages in the production, mining, beneficiation, smelting, and processing of non-ferrous metals in China and internationally. The company's product portfolio includes lead and zinc concentrate, copper concentrate, lead ingot, zinc ingot and zinc alloy, silver, gold, cadmium ingot, germanium ingot, indium ingot, industrial sulfuric acid, sulfur, and other products. It also trades in non-ferrous metals, ... 000060.SZ Profile

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