KSE:009830
Hanwha Solutions Corporation Stock Price (Quote)
₩31,450.00
-750.00 (-2.33%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₩25,100.00 | ₩34,550.00 | Friday, 31st May 2024 009830.KS stock ended at ₩31,450.00. This is 2.33% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 6.36% from a day low at ₩31,450.00 to a day high of ₩33,450.00. |
90 days | ₩23,000.00 | ₩34,550.00 | |
52 weeks | ₩23,000.00 | ₩49,000.00 |
Historical Hanwha Solutions Corporation prices
Date | Open | High | Low | Close | Volume |
Dec 22, 2021 | ₩38,916.00 | ₩39,967.79 | ₩38,860.64 | ₩39,248.14 | 510 832 |
Dec 21, 2021 | ₩39,358.86 | ₩39,746.36 | ₩37,642.79 | ₩38,307.07 | 925 641 |
Dec 20, 2021 | ₩39,912.43 | ₩40,355.29 | ₩39,303.50 | ₩39,303.50 | 423 553 |
Dec 17, 2021 | ₩39,635.64 | ₩40,742.79 | ₩39,358.86 | ₩40,299.93 | 529 841 |
Dec 16, 2021 | ₩39,746.36 | ₩40,355.29 | ₩39,580.29 | ₩39,967.79 | 505 340 |
Dec 15, 2021 | ₩40,078.50 | ₩40,355.29 | ₩39,082.07 | ₩39,303.50 | 824 111 |
Dec 14, 2021 | ₩40,632.07 | ₩41,019.57 | ₩40,189.21 | ₩40,466.00 | 383 058 |
Dec 13, 2021 | ₩41,296.36 | ₩41,628.50 | ₩40,632.07 | ₩40,632.07 | 555 981 |
Dec 10, 2021 | ₩40,908.86 | ₩41,296.36 | ₩40,466.00 | ₩41,074.93 | 510 312 |
Dec 09, 2021 | ₩40,742.79 | ₩41,185.64 | ₩40,133.86 | ₩41,074.93 | 794 149 |
Dec 08, 2021 | ₩40,410.64 | ₩41,407.07 | ₩40,189.21 | ₩40,244.57 | 1 210 286 |
Dec 07, 2021 | ₩40,133.86 | ₩40,133.86 | ₩39,414.21 | ₩40,023.14 | 449 759 |
Dec 06, 2021 | ₩39,358.86 | ₩40,078.50 | ₩38,639.21 | ₩39,801.71 | 618 350 |
Dec 03, 2021 | ₩39,026.71 | ₩39,912.43 | ₩38,805.29 | ₩39,635.64 | 636 414 |
Dec 02, 2021 | ₩37,587.43 | ₩39,580.29 | ₩37,421.36 | ₩39,524.93 | 881 402 |
Dec 01, 2021 | ₩36,480.29 | ₩38,528.50 | ₩36,092.79 | ₩38,196.36 | 1 054 037 |
Nov 30, 2021 | ₩37,753.50 | ₩38,417.79 | ₩36,424.93 | ₩36,535.65 | 1 444 644 |
Nov 29, 2021 | ₩35,982.08 | ₩37,808.86 | ₩35,982.08 | ₩37,144.58 | 775 679 |
Nov 26, 2021 | ₩38,639.21 | ₩38,639.21 | ₩37,089.22 | ₩37,144.58 | 1 161 460 |
Nov 25, 2021 | ₩39,082.07 | ₩39,082.07 | ₩38,639.21 | ₩38,639.21 | 468 419 |
Nov 24, 2021 | ₩39,746.36 | ₩39,746.36 | ₩38,694.57 | ₩39,137.43 | 877 219 |
Nov 23, 2021 | ₩39,691.00 | ₩39,912.43 | ₩39,192.79 | ₩39,746.36 | 697 604 |
Nov 22, 2021 | ₩39,469.57 | ₩40,133.86 | ₩39,026.71 | ₩40,133.86 | 702 442 |
Nov 19, 2021 | ₩39,746.36 | ₩40,576.71 | ₩39,303.50 | ₩39,414.21 | 744 297 |
Nov 18, 2021 | ₩39,691.00 | ₩39,691.00 | ₩38,971.36 | ₩39,358.86 | 592 179 |
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 009830.KS stock historical prices to predict future price movements?
Trend Analysis: Examine the 009830.KS 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 009830.KS 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.