Banpu Public Company Limited Stock Price (Quote)
฿5.70
-0.1000 (-1.72%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ฿5.20 | ฿5.95 | Tuesday, 21st May 2024 BANPU-R.BK stock ended at ฿5.70. This is 1.72% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 3.57% from a day low at ฿5.60 to a day high of ฿5.80. |
90 days | ฿5.20 | ฿6.10 | |
52 weeks | ฿5.20 | ฿9.75 |
Date | Open | High | Low | Close | Volume |
Apr 10, 2024 | ฿5.40 | ฿5.70 | ฿5.40 | ฿5.65 | 46 123 900 |
Apr 09, 2024 | ฿5.40 | ฿5.65 | ฿5.30 | ฿5.65 | 143 482 500 |
Apr 05, 2024 | ฿5.35 | ฿5.40 | ฿5.35 | ฿5.40 | 31 192 100 |
Apr 04, 2024 | ฿5.60 | ฿5.65 | ฿5.50 | ฿5.55 | 65 636 000 |
Apr 03, 2024 | ฿5.55 | ฿5.65 | ฿5.50 | ฿5.60 | 51 391 500 |
Apr 02, 2024 | ฿5.60 | ฿5.65 | ฿5.55 | ฿5.60 | 19 121 500 |
Apr 01, 2024 | ฿5.55 | ฿5.65 | ฿5.55 | ฿5.60 | 21 271 200 |
Mar 29, 2024 | ฿5.55 | ฿5.60 | ฿5.50 | ฿5.55 | 23 616 100 |
Mar 28, 2024 | ฿5.60 | ฿5.65 | ฿5.50 | ฿5.50 | 36 351 000 |
Mar 27, 2024 | ฿5.55 | ฿5.60 | ฿5.50 | ฿5.60 | 24 319 400 |
Mar 26, 2024 | ฿5.50 | ฿5.55 | ฿5.45 | ฿5.55 | 27 801 100 |
Mar 25, 2024 | ฿5.55 | ฿5.60 | ฿5.45 | ฿5.55 | 82 565 000 |
Mar 22, 2024 | ฿5.70 | ฿5.70 | ฿5.50 | ฿5.55 | 69 499 700 |
Mar 21, 2024 | ฿5.70 | ฿5.75 | ฿5.60 | ฿5.70 | 46 874 300 |
Mar 20, 2024 | ฿5.75 | ฿5.85 | ฿5.60 | ฿5.65 | 62 212 600 |
Mar 19, 2024 | ฿5.65 | ฿5.80 | ฿5.65 | ฿5.70 | 47 228 100 |
Mar 18, 2024 | ฿5.75 | ฿5.85 | ฿5.65 | ฿5.70 | 55 565 100 |
Mar 15, 2024 | ฿5.70 | ฿5.80 | ฿5.60 | ฿5.80 | 119 775 500 |
Mar 14, 2024 | ฿5.60 | ฿5.75 | ฿5.60 | ฿5.70 | 63 818 200 |
Mar 13, 2024 | ฿5.50 | ฿5.65 | ฿5.45 | ฿5.55 | 48 618 300 |
Mar 12, 2024 | ฿5.55 | ฿5.60 | ฿5.45 | ฿5.45 | 48 917 800 |
Mar 11, 2024 | ฿5.60 | ฿5.65 | ฿5.55 | ฿5.60 | 30 084 500 |
Mar 08, 2024 | ฿5.50 | ฿5.70 | ฿5.45 | ฿5.65 | 55 216 500 |
Mar 07, 2024 | ฿5.55 | ฿5.60 | ฿5.45 | ฿5.45 | 54 390 100 |
Mar 06, 2024 | ฿5.30 | ฿5.55 | ฿5.30 | ฿5.55 | 104 566 900 |
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.