Range Low Price High Price Comment
30 days ¥12.35 ¥15.15 Friday, 24th May 2024 002009.SZ stock ended at ¥12.64. This is 1.63% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 5.55% from a day low at ¥12.62 to a day high of ¥13.32.
90 days ¥11.22 ¥18.20
52 weeks ¥7.45 ¥18.20

Historical Miracle Automation Engineering CoLtd prices

Date Open High Low Close Volume
May 24, 2024 ¥13.32 ¥13.32 ¥12.62 ¥12.64 6 128 700
May 23, 2024 ¥13.32 ¥13.32 ¥12.83 ¥12.85 9 272 133
May 22, 2024 ¥13.32 ¥13.38 ¥13.04 ¥13.26 7 071 787
May 21, 2024 ¥13.32 ¥13.40 ¥12.96 ¥13.17 9 787 116
May 20, 2024 ¥13.32 ¥13.51 ¥13.25 ¥13.41 8 744 200
May 17, 2024 ¥14.12 ¥14.12 ¥13.15 ¥13.42 8 153 340
May 16, 2024 ¥14.12 ¥14.12 ¥13.26 ¥13.32 11 509 599
May 15, 2024 ¥14.12 ¥14.12 ¥13.53 ¥13.57 9 649 200
May 14, 2024 ¥14.12 ¥14.19 ¥13.62 ¥13.72 13 842 172
May 13, 2024 ¥14.12 ¥14.12 ¥13.30 ¥13.51 13 076 900
May 10, 2024 ¥14.28 ¥14.33 ¥13.77 ¥13.87 16 258 674
May 09, 2024 ¥15.00 ¥15.00 ¥14.20 ¥14.45 14 638 573
May 08, 2024 ¥15.00 ¥15.00 ¥14.05 ¥14.11 16 033 715
May 07, 2024 ¥15.00 ¥15.00 ¥14.31 ¥14.71 22 597 967
May 06, 2024 ¥15.00 ¥15.00 ¥14.45 ¥14.54 21 687 356
Apr 30, 2024 ¥12.84 ¥15.15 ¥12.84 ¥14.67 42 107 223
Apr 29, 2024 ¥12.84 ¥14.76 ¥12.84 ¥14.76 15 752 950
Apr 26, 2024 ¥12.75 ¥13.62 ¥12.70 ¥13.42 17 323 170
Apr 25, 2024 ¥12.75 ¥12.75 ¥12.43 ¥12.54 8 044 500
Apr 24, 2024 ¥12.75 ¥12.75 ¥12.35 ¥12.69 9 921 179
Apr 23, 2024 ¥12.75 ¥12.75 ¥12.09 ¥12.45 11 548 326
Apr 22, 2024 ¥12.75 ¥12.75 ¥11.90 ¥12.08 9 109 036
Apr 19, 2024 ¥14.30 ¥14.30 ¥12.31 ¥12.42 12 615 132
Apr 18, 2024 ¥14.30 ¥14.30 ¥12.46 ¥12.91 15 709 411
Apr 17, 2024 ¥14.30 ¥14.30 ¥11.86 ¥12.77 17 816 341

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 002009.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002009.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 002009.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 Miracle Automation Engineering CoLtd

Miracle Automation Engineering Co.Ltd provides intelligent equipment solutions and services in China and internationally. The company offers equipment for automobile manufacturing, intelligent storage, scrapped vehicle recycling, lithium battery recycling, new energy engineering, heavy industry manufacturing, and other industrial fields. It also provides consulting, design, manufacturing, installation, and intelligent maintenance services for aut... 002009.SZ Profile

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