SZCE:300078
Delisted
Hangzhou Century Co Ltd Stock Price (Quote)
¥4.84
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥4.84 | ¥4.84 | Wednesday, 19th Apr 2023 300078.SZ stock ended at ¥4.84. During the day the stock fluctuated 0% from a day low at ¥4.84 to a day high of ¥4.84. |
90 days | ¥4.63 | ¥4.87 | |
52 weeks | ¥3.91 | ¥6.10 |
Date | Open | High | Low | Close | Volume |
Oct 11, 2022 | ¥4.12 | ¥4.14 | ¥4.03 | ¥4.10 | 5 119 591 |
Oct 10, 2022 | ¥4.23 | ¥4.27 | ¥4.09 | ¥4.10 | 5 441 700 |
Sep 30, 2022 | ¥4.21 | ¥4.30 | ¥4.18 | ¥4.23 | 5 531 567 |
Sep 29, 2022 | ¥4.27 | ¥4.31 | ¥4.16 | ¥4.18 | 4 150 676 |
Sep 28, 2022 | ¥4.33 | ¥4.35 | ¥4.23 | ¥4.24 | 7 510 762 |
Sep 27, 2022 | ¥4.19 | ¥4.35 | ¥4.19 | ¥4.34 | 5 068 880 |
Sep 26, 2022 | ¥4.35 | ¥4.35 | ¥4.18 | ¥4.19 | 6 369 240 |
Sep 23, 2022 | ¥4.47 | ¥4.48 | ¥4.34 | ¥4.35 | 4 720 400 |
Sep 22, 2022 | ¥4.47 | ¥4.53 | ¥4.45 | ¥4.47 | 4 134 500 |
Sep 21, 2022 | ¥4.41 | ¥4.53 | ¥4.33 | ¥4.51 | 4 811 240 |
Sep 20, 2022 | ¥4.44 | ¥4.50 | ¥4.39 | ¥4.43 | 4 036 710 |
Sep 19, 2022 | ¥4.48 | ¥4.53 | ¥4.39 | ¥4.41 | 5 609 000 |
Sep 16, 2022 | ¥4.64 | ¥4.66 | ¥4.50 | ¥4.51 | 6 740 400 |
Sep 15, 2022 | ¥4.77 | ¥4.78 | ¥4.59 | ¥4.65 | 11 695 143 |
Sep 14, 2022 | ¥4.76 | ¥4.78 | ¥4.70 | ¥4.75 | 6 413 724 |
Sep 13, 2022 | ¥4.83 | ¥4.89 | ¥4.80 | ¥4.81 | 4 994 508 |
Sep 09, 2022 | ¥4.82 | ¥4.85 | ¥4.75 | ¥4.83 | 4 287 900 |
Sep 08, 2022 | ¥4.86 | ¥4.89 | ¥4.79 | ¥4.80 | 4 729 399 |
Sep 07, 2022 | ¥4.86 | ¥4.88 | ¥4.82 | ¥4.87 | 4 993 738 |
Sep 06, 2022 | ¥4.88 | ¥4.90 | ¥4.83 | ¥4.87 | 4 578 100 |
Sep 05, 2022 | ¥4.88 | ¥4.92 | ¥4.82 | ¥4.87 | 4 491 891 |
Sep 02, 2022 | ¥4.76 | ¥4.91 | ¥4.74 | ¥4.89 | 7 477 000 |
Sep 01, 2022 | ¥4.82 | ¥4.87 | ¥4.72 | ¥4.74 | 7 648 410 |
Aug 31, 2022 | ¥4.99 | ¥4.99 | ¥4.79 | ¥4.82 | 9 276 000 |
Aug 30, 2022 | ¥4.92 | ¥5.03 | ¥4.90 | ¥4.97 | 7 748 386 |
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 300078.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300078.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 300078.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.