SET:ASIMAR
Asian Marine Services Public Co Ltd Stock Price (Quote)
฿1.70
+0 (+0%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ฿1.56 | ฿1.84 | Friday, 24th May 2024 ASIMAR.BK stock ended at ฿1.70. During the day the stock fluctuated 2.37% from a day low at ฿1.69 to a day high of ฿1.73. |
90 days | ฿1.45 | ฿1.95 | |
52 weeks | ฿1.05 | ฿1.98 |
Date | Open | High | Low | Close | Volume |
Apr 12, 2024 | ฿1.65 | ฿1.65 | ฿1.65 | ฿1.65 | 0 |
Apr 11, 2024 | ฿1.65 | ฿1.67 | ฿1.65 | ฿1.65 | 97 200 |
Apr 10, 2024 | ฿1.65 | ฿1.67 | ฿1.65 | ฿1.66 | 217 918 |
Apr 09, 2024 | ฿1.65 | ฿1.67 | ฿1.65 | ฿1.65 | 150 100 |
Apr 05, 2024 | ฿1.61 | ฿1.65 | ฿1.60 | ฿1.65 | 213 118 |
Apr 04, 2024 | ฿1.70 | ฿1.70 | ฿1.61 | ฿1.62 | 362 402 |
Apr 03, 2024 | ฿1.71 | ฿1.81 | ฿1.70 | ฿1.70 | 1 615 301 |
Apr 02, 2024 | ฿1.71 | ฿1.77 | ฿1.70 | ฿1.71 | 676 300 |
Apr 01, 2024 | ฿1.71 | ฿1.74 | ฿1.70 | ฿1.71 | 456 200 |
Mar 29, 2024 | ฿1.72 | ฿1.74 | ฿1.69 | ฿1.70 | 538 302 |
Mar 28, 2024 | ฿1.75 | ฿1.78 | ฿1.69 | ฿1.69 | 3 278 523 |
Mar 27, 2024 | ฿1.62 | ฿1.95 | ฿1.60 | ฿1.73 | 21 078 314 |
Mar 26, 2024 | ฿1.58 | ฿1.69 | ฿1.57 | ฿1.60 | 2 338 706 |
Mar 25, 2024 | ฿1.59 | ฿1.59 | ฿1.57 | ฿1.59 | 308 803 |
Mar 22, 2024 | ฿1.62 | ฿1.62 | ฿1.54 | ฿1.60 | 1 123 404 |
Mar 21, 2024 | ฿1.61 | ฿1.65 | ฿1.61 | ฿1.61 | 193 906 |
Mar 20, 2024 | ฿1.64 | ฿1.64 | ฿1.61 | ฿1.62 | 273 700 |
Mar 19, 2024 | ฿1.61 | ฿1.65 | ฿1.61 | ฿1.64 | 376 050 |
Mar 18, 2024 | ฿1.70 | ฿1.76 | ฿1.67 | ฿1.70 | 2 152 755 |
Mar 15, 2024 | ฿1.65 | ฿1.75 | ฿1.64 | ฿1.70 | 4 281 603 |
Mar 14, 2024 | ฿1.64 | ฿1.67 | ฿1.63 | ฿1.64 | 651 510 |
Mar 13, 2024 | ฿1.66 | ฿1.73 | ฿1.61 | ฿1.63 | 2 496 234 |
Mar 12, 2024 | ฿1.62 | ฿1.71 | ฿1.60 | ฿1.68 | 3 960 906 |
Mar 11, 2024 | ฿1.62 | ฿1.62 | ฿1.59 | ฿1.61 | 432 903 |
Mar 08, 2024 | ฿1.61 | ฿1.61 | ฿1.59 | ฿1.59 | 534 159 |
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 ASIMAR.BK stock historical prices to predict future price movements?
Trend Analysis: Examine the ASIMAR.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 ASIMAR.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.