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 |
Feb 01, 2023 | ¥7.52 | ¥7.52 | ¥7.52 | ¥7.52 | 0 |
Jan 30, 2023 | ¥7.52 | ¥7.52 | ¥7.52 | ¥7.52 | 0 |
Jan 28, 2023 | ¥7.52 | ¥7.52 | ¥7.52 | ¥7.52 | 0 |
Jan 20, 2023 | ¥7.36 | ¥7.54 | ¥7.36 | ¥7.52 | 4 335 016 |
Jan 19, 2023 | ¥7.33 | ¥7.37 | ¥7.26 | ¥7.34 | 2 149 356 |
Jan 18, 2023 | ¥7.36 | ¥7.36 | ¥7.26 | ¥7.33 | 1 718 350 |
Jan 17, 2023 | ¥7.38 | ¥7.40 | ¥7.29 | ¥7.35 | 2 475 200 |
Jan 16, 2023 | ¥7.30 | ¥7.43 | ¥7.26 | ¥7.37 | 2 477 666 |
Jan 13, 2023 | ¥7.30 | ¥7.40 | ¥7.27 | ¥7.30 | 1 861 716 |
Jan 12, 2023 | ¥7.27 | ¥7.34 | ¥7.21 | ¥7.29 | 2 274 888 |
Jan 11, 2023 | ¥7.38 | ¥7.41 | ¥7.24 | ¥7.29 | 6 326 900 |
Jan 10, 2023 | ¥7.40 | ¥7.40 | ¥7.26 | ¥7.37 | 2 287 250 |
Jan 09, 2023 | ¥7.41 | ¥7.43 | ¥7.35 | ¥7.37 | 2 576 068 |
Jan 06, 2023 | ¥7.53 | ¥7.53 | ¥7.31 | ¥7.37 | 5 175 400 |
Jan 05, 2023 | ¥7.60 | ¥7.61 | ¥7.49 | ¥7.53 | 6 482 600 |
Jan 04, 2023 | ¥7.59 | ¥7.63 | ¥7.50 | ¥7.58 | 3 381 850 |
Jan 03, 2023 | ¥7.60 | ¥7.63 | ¥7.53 | ¥7.58 | 4 666 950 |
Dec 30, 2022 | ¥7.46 | ¥7.72 | ¥7.44 | ¥7.58 | 7 490 400 |
Dec 29, 2022 | ¥7.45 | ¥7.69 | ¥7.41 | ¥7.44 | 6 002 750 |
Dec 28, 2022 | ¥7.56 | ¥7.58 | ¥7.37 | ¥7.43 | 3 756 431 |
Dec 27, 2022 | ¥7.63 | ¥7.64 | ¥7.48 | ¥7.55 | 4 897 100 |
Dec 26, 2022 | ¥7.29 | ¥7.68 | ¥7.29 | ¥7.60 | 5 491 678 |
Dec 23, 2022 | ¥7.44 | ¥7.54 | ¥7.23 | ¥7.29 | 3 948 400 |
Dec 22, 2022 | ¥7.54 | ¥7.65 | ¥7.40 | ¥7.40 | 4 610 500 |
Dec 21, 2022 | ¥7.50 | ¥7.64 | ¥7.43 | ¥7.44 | 3 398 500 |
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.