SZCE:300033
Hithink Flush Information Network Co Ltd Stock Price (Quote)
¥116.65
-0.310 (-0.265%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥113.80 | ¥128.00 | Friday, 31st May 2024 300033.SZ stock ended at ¥116.65. This is 0.265% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.16% from a day low at ¥116.00 to a day high of ¥118.50. |
90 days | ¥109.47 | ¥154.09 | |
52 weeks | ¥104.06 | ¥222.80 |
Historical Hithink Flush Information Network Co Ltd prices
Date | Open | High | Low | Close | Volume |
May 23, 2023 | ¥168.70 | ¥169.31 | ¥159.18 | ¥161.50 | 12 853 753 |
May 22, 2023 | ¥183.64 | ¥183.81 | ¥165.20 | ¥168.70 | 12 983 926 |
May 19, 2023 | ¥190.14 | ¥194.94 | ¥184.50 | ¥185.40 | 10 229 174 |
May 18, 2023 | ¥169.62 | ¥188.18 | ¥169.62 | ¥187.94 | 15 158 937 |
May 17, 2023 | ¥168.65 | ¥171.60 | ¥167.00 | ¥169.50 | 3 766 906 |
May 16, 2023 | ¥173.00 | ¥175.00 | ¥168.60 | ¥169.06 | 5 995 741 |
May 15, 2023 | ¥173.25 | ¥174.19 | ¥165.69 | ¥172.57 | 6 710 523 |
May 12, 2023 | ¥168.07 | ¥178.00 | ¥168.07 | ¥172.19 | 7 216 809 |
May 11, 2023 | ¥176.37 | ¥178.00 | ¥168.60 | ¥169.16 | 6 451 182 |
May 10, 2023 | ¥177.00 | ¥180.14 | ¥170.01 | ¥173.76 | 8 881 367 |
May 09, 2023 | ¥179.14 | ¥194.49 | ¥177.01 | ¥178.06 | 15 114 582 |
May 08, 2023 | ¥175.00 | ¥182.40 | ¥169.08 | ¥177.68 | 10 088 461 |
May 05, 2023 | ¥173.10 | ¥185.00 | ¥172.00 | ¥174.95 | 10 464 305 |
May 04, 2023 | ¥177.88 | ¥180.83 | ¥169.01 | ¥175.24 | 8 862 431 |
Apr 28, 2023 | ¥168.45 | ¥181.00 | ¥168.45 | ¥177.99 | 13 026 569 |
Apr 27, 2023 | ¥171.00 | ¥178.09 | ¥167.77 | ¥170.20 | 14 917 479 |
Apr 26, 2023 | ¥196.02 | ¥198.00 | ¥172.30 | ¥174.92 | 18 681 243 |
Apr 25, 2023 | ¥189.00 | ¥203.23 | ¥189.00 | ¥195.01 | 16 227 960 |
Apr 24, 2023 | ¥195.70 | ¥197.88 | ¥180.00 | ¥185.00 | 17 359 425 |
Apr 21, 2023 | ¥213.00 | ¥213.00 | ¥195.80 | ¥196.20 | 12 482 537 |
Apr 20, 2023 | ¥193.00 | ¥217.00 | ¥192.00 | ¥210.00 | 16 200 757 |
Apr 19, 2023 | ¥194.96 | ¥202.58 | ¥192.03 | ¥197.65 | 12 016 046 |
Apr 18, 2023 | ¥197.02 | ¥204.43 | ¥191.00 | ¥195.07 | 13 220 361 |
Apr 17, 2023 | ¥193.50 | ¥202.80 | ¥188.35 | ¥199.64 | 13 277 013 |
Apr 14, 2023 | ¥185.19 | ¥199.88 | ¥185.19 | ¥195.80 | 14 846 290 |
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 300033.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300033.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 300033.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.