SET:EPG
Eastern Polymer Group Public Co Ltd Stock Price (Quote)
฿6.50
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ฿6.35 | ฿7.05 | Friday, 17th May 2024 EPG.BK stock ended at ฿6.50. During the day the stock fluctuated 2.31% from a day low at ฿6.50 to a day high of ฿6.65. |
90 days | ฿6.35 | ฿7.85 | |
52 weeks | ฿6.00 | ฿8.50 |
Date | Open | High | Low | Close | Volume |
Dec 19, 2023 | ฿7.80 | ฿8.05 | ฿7.65 | ฿8.05 | 8 479 956 |
Dec 18, 2023 | ฿7.75 | ฿8.00 | ฿7.75 | ฿7.80 | 9 198 162 |
Dec 15, 2023 | ฿7.60 | ฿7.70 | ฿7.45 | ฿7.60 | 5 277 297 |
Dec 14, 2023 | ฿7.30 | ฿7.55 | ฿7.25 | ฿7.55 | 6 005 416 |
Dec 13, 2023 | ฿7.10 | ฿7.35 | ฿7.00 | ฿7.25 | 4 789 008 |
Dec 12, 2023 | ฿7.05 | ฿7.15 | ฿6.85 | ฿7.10 | 3 093 010 |
Dec 08, 2023 | ฿7.25 | ฿7.40 | ฿7.00 | ฿7.05 | 3 334 368 |
Dec 07, 2023 | ฿7.20 | ฿7.40 | ฿7.15 | ฿7.25 | 3 635 119 |
Dec 06, 2023 | ฿7.20 | ฿7.35 | ฿7.10 | ฿7.15 | 2 117 286 |
Dec 04, 2023 | ฿7.10 | ฿7.30 | ฿7.10 | ฿7.20 | 1 663 635 |
Dec 01, 2023 | ฿7.10 | ฿7.25 | ฿7.10 | ฿7.15 | 872 871 |
Nov 30, 2023 | ฿7.35 | ฿7.35 | ฿7.05 | ฿7.10 | 3 691 554 |
Nov 29, 2023 | ฿7.45 | ฿7.45 | ฿7.35 | ฿7.35 | 767 821 |
Nov 28, 2023 | ฿7.30 | ฿7.45 | ฿7.30 | ฿7.35 | 1 690 539 |
Nov 27, 2023 | ฿7.30 | ฿7.30 | ฿7.15 | ฿7.20 | 2 198 419 |
Nov 24, 2023 | ฿7.50 | ฿7.50 | ฿7.35 | ฿7.40 | 1 507 720 |
Nov 23, 2023 | ฿7.50 | ฿7.55 | ฿7.35 | ฿7.50 | 2 172 200 |
Nov 22, 2023 | ฿7.45 | ฿7.60 | ฿7.45 | ฿7.50 | 3 083 400 |
Nov 21, 2023 | ฿7.40 | ฿7.55 | ฿7.35 | ฿7.45 | 5 152 600 |
Nov 20, 2023 | ฿7.35 | ฿7.45 | ฿7.30 | ฿7.40 | 2 339 600 |
Nov 17, 2023 | ฿7.25 | ฿7.40 | ฿7.20 | ฿7.40 | 4 506 225 |
Nov 16, 2023 | ฿7.25 | ฿7.35 | ฿7.20 | ฿7.25 | 2 827 470 |
Nov 15, 2023 | ฿7.30 | ฿7.35 | ฿7.20 | ฿7.20 | 3 450 065 |
Nov 14, 2023 | ฿7.15 | ฿7.25 | ฿7.00 | ฿7.20 | 4 274 707 |
Nov 13, 2023 | ฿6.85 | ฿7.20 | ฿6.85 | ฿7.15 | 9 970 810 |
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 EPG.BK stock historical prices to predict future price movements?
Trend Analysis: Examine the EPG.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 EPG.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.