SZCE:300005
Delisted
Toread Holdings Group Co Ltd Stock Price (Quote)
¥7.52
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥7.52 | ¥7.52 | Wednesday, 19th Apr 2023 300005.SZ stock ended at ¥7.52. During the day the stock fluctuated 0% from a day low at ¥7.52 to a day high of ¥7.52. |
90 days | ¥7.26 | ¥7.54 | |
52 weeks | ¥6.20 | ¥10.39 |
Date | Open | High | Low | Close | Volume |
Jun 10, 2021 | ¥8.56 | ¥8.65 | ¥8.46 | ¥8.61 | 7 577 648 |
Jun 09, 2021 | ¥8.62 | ¥8.63 | ¥8.52 | ¥8.61 | 4 221 300 |
Jun 08, 2021 | ¥8.50 | ¥8.50 | ¥8.50 | ¥8.50 | 0 |
Jun 07, 2021 | ¥8.50 | ¥8.50 | ¥8.50 | ¥8.50 | 0 |
Jun 04, 2021 | ¥8.41 | ¥8.55 | ¥8.34 | ¥8.50 | 12 290 320 |
Jun 03, 2021 | ¥8.23 | ¥8.50 | ¥8.18 | ¥8.49 | 17 062 105 |
Jun 02, 2021 | ¥8.10 | ¥8.40 | ¥8.01 | ¥8.26 | 12 218 555 |
Jun 01, 2021 | ¥8.21 | ¥8.24 | ¥8.08 | ¥8.10 | 6 296 195 |
May 31, 2021 | ¥8.18 | ¥8.23 | ¥8.05 | ¥8.19 | 7 825 450 |
May 28, 2021 | ¥8.15 | ¥8.29 | ¥8.07 | ¥8.18 | 8 785 854 |
May 27, 2021 | ¥8.29 | ¥8.34 | ¥8.04 | ¥8.18 | 12 913 420 |
May 26, 2021 | ¥8.45 | ¥8.47 | ¥8.20 | ¥8.26 | 11 815 400 |
May 25, 2021 | ¥8.28 | ¥8.58 | ¥8.15 | ¥8.48 | 11 043 000 |
May 24, 2021 | ¥8.50 | ¥8.50 | ¥8.23 | ¥8.27 | 9 410 818 |
May 21, 2021 | ¥8.54 | ¥8.55 | ¥8.32 | ¥8.45 | 13 914 584 |
May 20, 2021 | ¥8.43 | ¥8.60 | ¥8.39 | ¥8.45 | 12 760 100 |
May 19, 2021 | ¥8.36 | ¥8.51 | ¥8.32 | ¥8.43 | 8 327 343 |
May 18, 2021 | ¥8.05 | ¥8.59 | ¥8.00 | ¥8.42 | 27 368 242 |
May 17, 2021 | ¥8.14 | ¥8.14 | ¥8.14 | ¥8.14 | 0 |
May 14, 2021 | ¥8.14 | ¥8.14 | ¥8.14 | ¥8.14 | 0 |
May 13, 2021 | ¥8.14 | ¥8.14 | ¥8.14 | ¥8.14 | 0 |
May 12, 2021 | ¥8.14 | ¥8.21 | ¥8.05 | ¥8.15 | 8 472 681 |
May 11, 2021 | ¥8.22 | ¥8.23 | ¥8.07 | ¥8.14 | 9 898 640 |
May 07, 2021 | ¥7.71 | ¥8.08 | ¥7.71 | ¥8.01 | 18 992 134 |
May 06, 2021 | ¥8.00 | ¥8.00 | ¥7.63 | ¥7.70 | 13 398 453 |
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 300005.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300005.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 300005.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.