฿1.15
+0 (+0%)
At Close: Aug 11, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ฿1.12 | ฿1.21 | Tuesday, 11th Aug 2026 BM.BK stock ended at ฿1.15. During the day the stock fluctuated 1.74% from a day low at ฿1.15 to a day high of ฿1.17. |
| 90 days | ฿1.00 | ฿1.30 | |
| 52 weeks | ฿0.97 | ฿1.69 |
Historical Bangkok Sheet Metal Public Company Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 11, 2026 | ฿1.16 | ฿1.17 | ฿1.15 | ฿1.15 | 455 631 |
| Aug 10, 2026 | ฿1.15 | ฿1.16 | ฿1.15 | ฿1.15 | 624 110 |
| Aug 07, 2026 | ฿1.16 | ฿1.16 | ฿1.15 | ฿1.16 | 667 406 |
| Aug 06, 2026 | ฿1.15 | ฿1.17 | ฿1.15 | ฿1.16 | 251 411 |
| Aug 05, 2026 | ฿1.18 | ฿1.18 | ฿1.16 | ฿1.16 | 540 912 |
| Aug 04, 2026 | ฿1.19 | ฿1.19 | ฿1.17 | ฿1.18 | 642 812 |
| Aug 03, 2026 | ฿1.17 | ฿1.19 | ฿1.17 | ฿1.18 | 902 213 |
| Jul 31, 2026 | ฿1.15 | ฿1.17 | ฿1.14 | ฿1.17 | 872 001 |
| Jul 30, 2026 | ฿1.15 | ฿1.16 | ฿1.14 | ฿1.15 | 511 869 |
| Jul 27, 2026 | ฿1.12 | ฿1.16 | ฿1.12 | ฿1.15 | 585 362 |
| Jul 24, 2026 | ฿1.13 | ฿1.14 | ฿1.12 | ฿1.12 | 625 035 |
| Jul 23, 2026 | ฿1.18 | ฿1.18 | ฿1.12 | ฿1.14 | 2 184 768 |
| Jul 22, 2026 | ฿1.16 | ฿1.18 | ฿1.15 | ฿1.16 | 1 562 110 |
| Jul 21, 2026 | ฿1.17 | ฿1.18 | ฿1.16 | ฿1.16 | 692 411 |
| Jul 20, 2026 | ฿1.16 | ฿1.18 | ฿1.16 | ฿1.18 | 963 404 |
| Jul 17, 2026 | ฿1.17 | ฿1.18 | ฿1.16 | ฿1.16 | 2 213 301 |
| Jul 16, 2026 | ฿1.18 | ฿1.19 | ฿1.17 | ฿1.17 | 1 224 623 |
| Jul 15, 2026 | ฿1.18 | ฿1.21 | ฿1.17 | ฿1.18 | 1 581 600 |
| Jul 14, 2026 | ฿1.18 | ฿1.18 | ฿1.17 | ฿1.17 | 1 407 001 |
| Jul 13, 2026 | ฿1.19 | ฿1.19 | ฿1.18 | ฿1.18 | 1 254 215 |
| Jul 10, 2026 | ฿1.19 | ฿1.19 | ฿1.17 | ฿1.19 | 2 306 028 |
| Jul 09, 2026 | ฿1.20 | ฿1.21 | ฿1.15 | ฿1.19 | 7 647 441 |
| Jul 08, 2026 | ฿1.24 | ฿1.25 | ฿1.20 | ฿1.20 | 4 497 123 |
| Jul 07, 2026 | ฿1.20 | ฿1.26 | ฿1.20 | ฿1.25 | 14 644 397 |
| Jul 06, 2026 | ฿1.18 | ฿1.20 | ฿1.17 | ฿1.19 | 1 607 902 |
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 BM.BK stock historical prices to predict future price movements?
Trend Analysis: Examine the BM.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 BM.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.
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