SZCE:002136
Anhui Annada Titanium Industry Co., Ltd. Stock Price (Quote)
¥11.37
+0.270 (+2.43%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥9.29 | ¥12.15 | Monday, 20th May 2024 002136.SZ stock ended at ¥11.37. This is 2.43% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 4.00% from a day low at ¥10.99 to a day high of ¥11.43. |
90 days | ¥8.02 | ¥12.15 | |
52 weeks | ¥6.79 | ¥13.11 |
Date | Open | High | Low | Close | Volume |
Jan 23, 2024 | ¥10.19 | ¥10.19 | ¥9.77 | ¥9.97 | 3 056 400 |
Jan 22, 2024 | ¥10.90 | ¥10.94 | ¥10.08 | ¥10.20 | 2 634 400 |
Jan 19, 2024 | ¥10.93 | ¥11.15 | ¥10.81 | ¥10.82 | 1 699 800 |
Jan 18, 2024 | ¥11.19 | ¥11.19 | ¥10.61 | ¥10.93 | 2 871 200 |
Jan 17, 2024 | ¥11.41 | ¥11.44 | ¥11.16 | ¥11.16 | 1 592 300 |
Jan 16, 2024 | ¥11.48 | ¥11.55 | ¥11.25 | ¥11.41 | 1 810 800 |
Jan 15, 2024 | ¥11.54 | ¥11.55 | ¥11.40 | ¥11.47 | 1 309 900 |
Jan 12, 2024 | ¥11.61 | ¥11.74 | ¥11.53 | ¥11.54 | 1 741 200 |
Jan 11, 2024 | ¥11.35 | ¥11.62 | ¥11.31 | ¥11.62 | 1 819 800 |
Jan 10, 2024 | ¥11.41 | ¥11.53 | ¥11.27 | ¥11.35 | 1 346 800 |
Jan 09, 2024 | ¥11.40 | ¥11.57 | ¥11.32 | ¥11.41 | 1 502 202 |
Jan 08, 2024 | ¥11.62 | ¥11.64 | ¥11.40 | ¥11.40 | 1 569 650 |
Jan 05, 2024 | ¥11.82 | ¥11.86 | ¥11.57 | ¥11.62 | 1 769 320 |
Jan 04, 2024 | ¥11.83 | ¥11.90 | ¥11.75 | ¥11.82 | 1 874 700 |
Jan 03, 2024 | ¥11.70 | ¥11.85 | ¥11.70 | ¥11.84 | 2 847 626 |
Jan 02, 2024 | ¥11.65 | ¥11.77 | ¥11.58 | ¥11.74 | 2 178 101 |
Dec 29, 2023 | ¥11.54 | ¥11.63 | ¥11.44 | ¥11.62 | 2 132 250 |
Dec 28, 2023 | ¥11.17 | ¥11.56 | ¥11.11 | ¥11.54 | 2 804 001 |
Dec 27, 2023 | ¥11.19 | ¥11.24 | ¥11.00 | ¥11.18 | 2 285 400 |
Dec 26, 2023 | ¥11.17 | ¥11.43 | ¥11.12 | ¥11.23 | 2 264 550 |
Dec 25, 2023 | ¥11.24 | ¥11.28 | ¥11.10 | ¥11.16 | 1 425 701 |
Dec 22, 2023 | ¥11.38 | ¥11.45 | ¥11.20 | ¥11.26 | 1 549 101 |
Dec 21, 2023 | ¥11.31 | ¥11.40 | ¥11.07 | ¥11.38 | 1 868 019 |
Dec 20, 2023 | ¥11.26 | ¥11.49 | ¥11.25 | ¥11.31 | 1 648 419 |
Dec 19, 2023 | ¥11.13 | ¥11.29 | ¥11.11 | ¥11.26 | 1 285 200 |
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.
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 002136.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002136.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 002136.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.