Range Low Price High Price Comment
30 days ¥15.36 ¥15.36 Wednesday, 19th Apr 2023 300275.SZ stock ended at ¥15.36. During the day the stock fluctuated 0% from a day low at ¥15.36 to a day high of ¥15.36.
90 days ¥14.57 ¥15.46
52 weeks ¥10.09 ¥15.46

Historical Chongqing MAS Sci & Tech Co Ltd prices

Date Open High Low Close Volume
Feb 01, 2023 ¥15.36 ¥15.36 ¥15.36 ¥15.36 0
Jan 30, 2023 ¥15.36 ¥15.36 ¥15.36 ¥15.36 0
Jan 28, 2023 ¥15.36 ¥15.36 ¥15.36 ¥15.36 0
Jan 20, 2023 ¥15.00 ¥15.46 ¥14.80 ¥15.36 5 341 300
Jan 19, 2023 ¥14.61 ¥15.12 ¥14.57 ¥14.80 5 457 525
Jan 18, 2023 ¥14.70 ¥14.88 ¥14.05 ¥14.65 5 120 700
Jan 17, 2023 ¥14.04 ¥14.92 ¥13.95 ¥14.45 6 404 787
Jan 16, 2023 ¥14.22 ¥14.49 ¥13.82 ¥14.03 8 877 847
Jan 13, 2023 ¥14.00 ¥14.64 ¥13.68 ¥14.45 11 002 330
Jan 12, 2023 ¥12.79 ¥14.30 ¥12.52 ¥13.93 11 803 647
Jan 11, 2023 ¥12.56 ¥12.88 ¥12.46 ¥12.61 4 604 200
Jan 10, 2023 ¥12.47 ¥12.70 ¥12.47 ¥12.55 2 088 402
Jan 09, 2023 ¥12.46 ¥12.86 ¥12.44 ¥12.53 5 881 900
Jan 06, 2023 ¥12.18 ¥12.54 ¥12.18 ¥12.46 2 874 100
Jan 05, 2023 ¥12.20 ¥12.40 ¥12.01 ¥12.25 5 964 600
Jan 04, 2023 ¥12.05 ¥12.15 ¥11.98 ¥12.09 2 521 800
Jan 03, 2023 ¥11.81 ¥12.08 ¥11.75 ¥12.04 2 093 804
Dec 30, 2022 ¥11.94 ¥11.95 ¥11.76 ¥11.81 1 263 650
Dec 29, 2022 ¥11.60 ¥12.02 ¥11.60 ¥11.84 3 213 824
Dec 28, 2022 ¥11.52 ¥11.76 ¥11.45 ¥11.69 1 967 650
Dec 27, 2022 ¥11.47 ¥11.68 ¥11.30 ¥11.66 4 713 015
Dec 26, 2022 ¥11.02 ¥11.45 ¥10.98 ¥11.41 2 552 183
Dec 23, 2022 ¥10.97 ¥11.05 ¥10.80 ¥10.98 1 118 228
Dec 22, 2022 ¥11.20 ¥11.29 ¥10.90 ¥10.93 1 951 428
Dec 21, 2022 ¥11.14 ¥11.34 ¥11.03 ¥11.18 1 767 200

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 300275.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300275.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 300275.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 Chongqing MAS Sci & Tech Co Ltd

Chongqing MAS Sci & Tech Co Ltd China Vanke Co., Ltd., together with its subsidiaries, engages in the development and sale of properties in the Mainland China, Hong Kong, and internationally. The company operates through Property Development and Property Management segments. It develops residential buildings, commercial offices, and other ancillary facilities. The company also provides property management and related services to purchasers and tenants of its own developed resid... 300275.SZ Profile

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