SET:QH-R
Quality Houses Public Company Limited Stock Price (Quote)
฿2.02
+0 (+0%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ฿2.00 | ฿2.26 | Friday, 24th May 2024 QH-R.BK stock ended at ฿2.02. During the day the stock fluctuated 2.00% from a day low at ฿2.00 to a day high of ฿2.04. |
90 days | ฿2.00 | ฿2.30 | |
52 weeks | ฿2.00 | ฿2.36 |
Date | Open | High | Low | Close | Volume |
May 24, 2024 | ฿2.02 | ฿2.04 | ฿2.00 | ฿2.02 | 21 023 400 |
May 23, 2024 | ฿2.02 | ฿2.04 | ฿2.00 | ฿2.02 | 23 858 600 |
May 21, 2024 | ฿2.06 | ฿2.06 | ฿2.02 | ฿2.04 | 29 333 800 |
May 20, 2024 | ฿2.06 | ฿2.08 | ฿2.04 | ฿2.06 | 17 346 600 |
May 17, 2024 | ฿2.06 | ฿2.08 | ฿2.04 | ฿2.06 | 20 079 800 |
May 16, 2024 | ฿2.06 | ฿2.10 | ฿2.04 | ฿2.06 | 63 379 400 |
May 15, 2024 | ฿2.12 | ฿2.12 | ฿2.02 | ฿2.04 | 127 738 800 |
May 14, 2024 | ฿2.14 | ฿2.14 | ฿2.10 | ฿2.12 | 32 687 500 |
May 13, 2024 | ฿2.12 | ฿2.14 | ฿2.12 | ฿2.14 | 17 869 500 |
May 10, 2024 | ฿2.16 | ฿2.16 | ฿2.12 | ฿2.12 | 35 899 000 |
May 09, 2024 | ฿2.16 | ฿2.18 | ฿2.14 | ฿2.16 | 24 193 600 |
May 08, 2024 | ฿2.16 | ฿2.18 | ฿2.16 | ฿2.16 | 3 367 800 |
May 07, 2024 | ฿2.16 | ฿2.18 | ฿2.16 | ฿2.16 | 10 748 300 |
May 03, 2024 | ฿2.16 | ฿2.18 | ฿2.16 | ฿2.16 | 4 553 700 |
May 02, 2024 | ฿2.16 | ฿2.18 | ฿2.16 | ฿2.18 | 5 909 400 |
Apr 30, 2024 | ฿2.16 | ฿2.20 | ฿2.16 | ฿2.18 | 21 086 400 |
Apr 29, 2024 | ฿2.16 | ฿2.18 | ฿2.14 | ฿2.18 | 22 238 900 |
Apr 26, 2024 | ฿2.16 | ฿2.18 | ฿2.14 | ฿2.16 | 20 107 000 |
Apr 25, 2024 | ฿2.14 | ฿2.18 | ฿2.14 | ฿2.16 | 111 360 500 |
Apr 24, 2024 | ฿2.22 | ฿2.26 | ฿2.22 | ฿2.24 | 122 803 200 |
Apr 23, 2024 | ฿2.24 | ฿2.24 | ฿2.20 | ฿2.22 | 39 508 300 |
Apr 22, 2024 | ฿2.22 | ฿2.24 | ฿2.22 | ฿2.22 | 9 161 400 |
Apr 19, 2024 | ฿2.24 | ฿2.24 | ฿2.20 | ฿2.24 | 30 363 200 |
Apr 18, 2024 | ฿2.24 | ฿2.26 | ฿2.24 | ฿2.24 | 7 535 400 |
Apr 17, 2024 | ฿2.28 | ฿2.30 | ฿2.24 | ฿2.24 | 22 051 700 |
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 QH-R.BK stock historical prices to predict future price movements?
Trend Analysis: Examine the QH-R.BK 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 QH-R.BK 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.