SET:BRR-R
Delisted
Buriram Sugar Public Company Limited Stock Price (Quote)
฿5.20
+0 (+0%)
At Close: Jan 04, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ฿5.20 | ฿5.20 | Thursday, 4th Jan 2024 BRR-R.BK stock ended at ฿5.20. During the day the stock fluctuated 0% from a day low at ฿5.20 to a day high of ฿5.20. |
90 days | ฿5.20 | ฿5.20 | |
52 weeks | ฿5.00 | ฿8.40 |
Date | Open | High | Low | Close | Volume |
Sep 12, 2023 | ฿5.95 | ฿5.95 | ฿5.85 | ฿5.90 | 634 100 |
Sep 11, 2023 | ฿6.00 | ฿6.10 | ฿5.95 | ฿5.95 | 1 568 000 |
Sep 08, 2023 | ฿6.35 | ฿6.40 | ฿6.30 | ฿6.35 | 650 600 |
Sep 07, 2023 | ฿6.40 | ฿6.45 | ฿6.35 | ฿6.35 | 284 400 |
Sep 06, 2023 | ฿6.60 | ฿6.60 | ฿6.40 | ฿6.40 | 1 512 400 |
Sep 05, 2023 | ฿6.40 | ฿6.50 | ฿6.30 | ฿6.40 | 4 140 700 |
Sep 04, 2023 | ฿5.90 | ฿6.15 | ฿5.90 | ฿6.10 | 3 046 600 |
Sep 01, 2023 | ฿6.00 | ฿6.05 | ฿5.85 | ฿5.85 | 525 100 |
Aug 31, 2023 | ฿6.00 | ฿6.05 | ฿5.95 | ฿5.95 | 535 000 |
Aug 30, 2023 | ฿6.05 | ฿6.15 | ฿5.90 | ฿6.05 | 2 651 500 |
Aug 29, 2023 | ฿5.55 | ฿5.85 | ฿5.55 | ฿5.75 | 2 897 200 |
Aug 28, 2023 | ฿5.50 | ฿5.50 | ฿5.40 | ฿5.45 | 313 400 |
Aug 25, 2023 | ฿5.35 | ฿5.50 | ฿5.30 | ฿5.40 | 624 100 |
Aug 24, 2023 | ฿5.20 | ฿5.45 | ฿5.20 | ฿5.30 | 483 700 |
Aug 23, 2023 | ฿5.20 | ฿5.25 | ฿5.15 | ฿5.20 | 95 500 |
Aug 22, 2023 | ฿5.20 | ฿5.25 | ฿5.15 | ฿5.25 | 193 700 |
Aug 21, 2023 | ฿5.10 | ฿5.30 | ฿5.00 | ฿5.20 | 550 100 |
Aug 18, 2023 | ฿5.15 | ฿5.15 | ฿5.05 | ฿5.10 | 547 700 |
Aug 17, 2023 | ฿5.20 | ฿5.20 | ฿5.10 | ฿5.10 | 157 000 |
Aug 16, 2023 | ฿5.15 | ฿5.25 | ฿5.10 | ฿5.15 | 286 200 |
Aug 15, 2023 | ฿5.25 | ฿5.25 | ฿5.00 | ฿5.10 | 1 645 200 |
Aug 11, 2023 | ฿5.40 | ฿5.50 | ฿5.30 | ฿5.45 | 392 300 |
Aug 10, 2023 | ฿5.40 | ฿5.40 | ฿5.35 | ฿5.40 | 126 500 |
Aug 09, 2023 | ฿5.40 | ฿5.45 | ฿5.35 | ฿5.40 | 212 600 |
Aug 08, 2023 | ฿5.55 | ฿5.60 | ฿5.35 | ฿5.35 | 575 300 |
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 BRR-R.BK stock historical prices to predict future price movements?
Trend Analysis: Examine the BRR-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 BRR-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.