SZCE:000709
Hesteel Co Ltd Stock Price (Quote)
¥2.17
+0 (+0%)
At Close: May 29, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥2.16 | ¥2.25 | Wednesday, 29th May 2024 000709.SZ stock ended at ¥2.17. During the day the stock fluctuated 1.39% from a day low at ¥2.16 to a day high of ¥2.19. |
90 days | ¥2.12 | ¥2.28 | |
52 weeks | ¥1.95 | ¥2.50 |
Historical Hesteel Co Ltd prices
Date | Open | High | Low | Close | Volume |
May 10, 2022 | ¥2.26 | ¥2.30 | ¥2.23 | ¥2.29 | 64 216 886 |
May 09, 2022 | ¥2.25 | ¥2.29 | ¥2.24 | ¥2.29 | 39 912 835 |
May 06, 2022 | ¥2.30 | ¥2.30 | ¥2.25 | ¥2.26 | 59 029 269 |
May 05, 2022 | ¥2.32 | ¥2.35 | ¥2.30 | ¥2.33 | 53 913 632 |
Apr 29, 2022 | ¥2.27 | ¥2.34 | ¥2.27 | ¥2.33 | 108 827 325 |
Apr 28, 2022 | ¥2.28 | ¥2.29 | ¥2.23 | ¥2.27 | 70 749 490 |
Apr 27, 2022 | ¥2.19 | ¥2.31 | ¥2.16 | ¥2.29 | 100 534 088 |
Apr 26, 2022 | ¥2.28 | ¥2.29 | ¥2.20 | ¥2.21 | 101 134 424 |
Apr 25, 2022 | ¥2.40 | ¥2.40 | ¥2.26 | ¥2.28 | 116 164 786 |
Apr 22, 2022 | ¥2.45 | ¥2.46 | ¥2.41 | ¥2.42 | 65 967 794 |
Apr 21, 2022 | ¥2.48 | ¥2.50 | ¥2.45 | ¥2.47 | 106 760 686 |
Apr 20, 2022 | ¥2.62 | ¥2.65 | ¥2.54 | ¥2.55 | 85 024 310 |
Apr 19, 2022 | ¥2.60 | ¥2.66 | ¥2.58 | ¥2.64 | 84 241 658 |
Apr 18, 2022 | ¥2.65 | ¥2.66 | ¥2.60 | ¥2.61 | 95 223 610 |
Apr 15, 2022 | ¥2.61 | ¥2.72 | ¥2.61 | ¥2.69 | 254 393 874 |
Apr 14, 2022 | ¥2.55 | ¥2.59 | ¥2.54 | ¥2.59 | 66 595 897 |
Apr 13, 2022 | ¥2.54 | ¥2.58 | ¥2.52 | ¥2.54 | 87 379 504 |
Apr 12, 2022 | ¥2.51 | ¥2.56 | ¥2.48 | ¥2.54 | 99 058 643 |
Apr 11, 2022 | ¥2.57 | ¥2.58 | ¥2.51 | ¥2.52 | 63 799 724 |
Apr 08, 2022 | ¥2.53 | ¥2.58 | ¥2.50 | ¥2.57 | 77 631 591 |
Apr 07, 2022 | ¥2.51 | ¥2.58 | ¥2.51 | ¥2.54 | 170 404 213 |
Apr 06, 2022 | ¥2.39 | ¥2.53 | ¥2.39 | ¥2.53 | 162 426 893 |
Apr 01, 2022 | ¥2.37 | ¥2.40 | ¥2.35 | ¥2.39 | 44 606 126 |
Mar 31, 2022 | ¥2.37 | ¥2.40 | ¥2.36 | ¥2.38 | 49 330 225 |
Mar 30, 2022 | ¥2.34 | ¥2.37 | ¥2.32 | ¥2.37 | 41 778 536 |
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 000709.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000709.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 000709.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.