SET:BANPU-R
Banpu Public Company Limited Stock Price (Quote)
฿5.80
+0.450 (+8.41%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ฿5.20 | ฿5.95 | Monday, 20th May 2024 BANPU-R.BK stock ended at ฿5.80. This is 8.41% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 11.21% from a day low at ฿5.35 to a day high of ฿5.95. |
90 days | ฿5.20 | ฿6.10 | |
52 weeks | ฿5.20 | ฿9.75 |
Date | Open | High | Low | Close | Volume |
Jan 26, 2024 | ฿6.50 | ฿6.60 | ฿6.45 | ฿6.55 | 62 844 900 |
Jan 25, 2024 | ฿6.40 | ฿6.60 | ฿6.40 | ฿6.50 | 104 769 500 |
Jan 24, 2024 | ฿6.35 | ฿6.50 | ฿6.15 | ฿6.45 | 81 800 000 |
Jan 23, 2024 | ฿6.45 | ฿6.50 | ฿6.30 | ฿6.40 | 79 355 000 |
Jan 22, 2024 | ฿6.60 | ฿6.60 | ฿6.40 | ฿6.45 | 45 131 200 |
Jan 19, 2024 | ฿6.55 | ฿6.65 | ฿6.50 | ฿6.65 | 37 812 200 |
Jan 18, 2024 | ฿6.35 | ฿6.65 | ฿6.35 | ฿6.55 | 89 696 700 |
Jan 17, 2024 | ฿6.50 | ฿6.55 | ฿6.30 | ฿6.35 | 91 100 900 |
Jan 16, 2024 | ฿6.60 | ฿6.65 | ฿6.55 | ฿6.55 | 37 167 700 |
Jan 15, 2024 | ฿6.60 | ฿6.65 | ฿6.50 | ฿6.60 | 42 098 700 |
Jan 12, 2024 | ฿6.65 | ฿6.65 | ฿6.50 | ฿6.60 | 36 094 700 |
Jan 11, 2024 | ฿6.60 | ฿6.65 | ฿6.55 | ฿6.60 | 21 431 200 |
Jan 10, 2024 | ฿6.60 | ฿6.65 | ฿6.55 | ฿6.60 | 55 099 700 |
Jan 09, 2024 | ฿6.70 | ฿6.75 | ฿6.50 | ฿6.50 | 85 620 500 |
Jan 08, 2024 | ฿6.75 | ฿6.80 | ฿6.65 | ฿6.65 | 43 271 700 |
Jan 05, 2024 | ฿6.70 | ฿6.75 | ฿6.70 | ฿6.70 | 25 386 400 |
Jan 04, 2024 | ฿6.80 | ฿6.80 | ฿6.60 | ฿6.70 | 67 592 100 |
Jan 03, 2024 | ฿6.90 | ฿6.95 | ฿6.75 | ฿6.80 | 66 550 100 |
Jan 02, 2024 | ฿6.85 | ฿7.00 | ฿6.80 | ฿6.90 | 48 878 300 |
Dec 28, 2023 | ฿6.70 | ฿6.85 | ฿6.70 | ฿6.80 | 38 415 200 |
Dec 27, 2023 | ฿6.75 | ฿6.80 | ฿6.65 | ฿6.70 | 50 191 100 |
Dec 26, 2023 | ฿6.65 | ฿6.70 | ฿6.60 | ฿6.70 | 24 720 600 |
Dec 25, 2023 | ฿6.75 | ฿6.80 | ฿6.65 | ฿6.65 | 27 213 600 |
Dec 22, 2023 | ฿6.75 | ฿6.75 | ฿6.60 | ฿6.75 | 49 263 400 |
Dec 21, 2023 | ฿6.55 | ฿6.75 | ฿6.55 | ฿6.75 | 46 603 700 |
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 BANPU-R.BK stock historical prices to predict future price movements?
Trend Analysis: Examine the BANPU-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 BANPU-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.