SZCE:000050
Tianma Microelectronics Co., Ltd. Stock Price (Quote)
¥7.31
-0.100 (-1.35%)
At Close: Jun 05, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥7.30 | ¥8.31 | Wednesday, 5th Jun 2024 000050.SZ stock ended at ¥7.31. This is 1.35% less than the trading day before Tuesday, 4th Jun 2024. During the day the stock fluctuated 2.87% from a day low at ¥7.31 to a day high of ¥7.52. |
90 days | ¥7.30 | ¥9.31 | |
52 weeks | ¥7.07 | ¥11.33 |
Historical Tianma Microelectronics Co., Ltd. prices
Date | Open | High | Low | Close | Volume |
Aug 31, 2022 | ¥9.61 | ¥9.69 | ¥9.35 | ¥9.44 | 11 463 968 |
Aug 30, 2022 | ¥9.59 | ¥9.69 | ¥9.56 | ¥9.60 | 11 007 976 |
Aug 29, 2022 | ¥9.54 | ¥9.68 | ¥9.51 | ¥9.60 | 9 624 931 |
Aug 26, 2022 | ¥9.81 | ¥9.81 | ¥9.61 | ¥9.65 | 9 005 146 |
Aug 25, 2022 | ¥9.88 | ¥9.89 | ¥9.64 | ¥9.74 | 16 235 760 |
Aug 24, 2022 | ¥10.27 | ¥10.27 | ¥9.84 | ¥9.87 | 23 737 815 |
Aug 23, 2022 | ¥10.35 | ¥10.40 | ¥10.17 | ¥10.21 | 9 671 543 |
Aug 22, 2022 | ¥10.25 | ¥10.46 | ¥10.12 | ¥10.35 | 12 330 829 |
Aug 19, 2022 | ¥10.51 | ¥10.74 | ¥10.21 | ¥10.24 | 16 205 747 |
Aug 18, 2022 | ¥10.35 | ¥10.58 | ¥10.24 | ¥10.50 | 16 768 521 |
Aug 17, 2022 | ¥10.12 | ¥10.37 | ¥10.08 | ¥10.35 | 12 111 049 |
Aug 16, 2022 | ¥10.23 | ¥10.27 | ¥10.09 | ¥10.11 | 7 934 942 |
Aug 15, 2022 | ¥10.20 | ¥10.28 | ¥10.14 | ¥10.22 | 8 640 798 |
Aug 12, 2022 | ¥10.30 | ¥10.39 | ¥10.22 | ¥10.22 | 20 353 424 |
Aug 11, 2022 | ¥10.02 | ¥10.44 | ¥10.00 | ¥10.35 | 23 379 516 |
Aug 10, 2022 | ¥9.91 | ¥10.09 | ¥9.90 | ¥9.95 | 7 785 911 |
Aug 09, 2022 | ¥9.93 | ¥10.01 | ¥9.82 | ¥9.98 | 8 948 192 |
Aug 08, 2022 | ¥9.92 | ¥10.05 | ¥9.89 | ¥9.93 | 9 941 160 |
Aug 05, 2022 | ¥9.68 | ¥9.95 | ¥9.62 | ¥9.92 | 12 543 322 |
Aug 04, 2022 | ¥9.52 | ¥9.67 | ¥9.51 | ¥9.61 | 6 276 582 |
Aug 03, 2022 | ¥9.56 | ¥9.77 | ¥9.45 | ¥9.46 | 9 124 457 |
Aug 02, 2022 | ¥9.77 | ¥9.77 | ¥9.39 | ¥9.59 | 20 274 326 |
Aug 01, 2022 | ¥9.68 | ¥9.87 | ¥9.62 | ¥9.85 | 7 965 500 |
Jul 29, 2022 | ¥9.90 | ¥9.90 | ¥9.71 | ¥9.72 | 7 127 373 |
Jul 28, 2022 | ¥9.68 | ¥9.98 | ¥9.66 | ¥9.84 | 11 665 541 |
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.
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 000050.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000050.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.
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.
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 000050.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.