SET:DIF
Digital Telecommunications Stock Price (Quote)
฿7.90
+0 (+0%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ฿7.70 | ฿8.15 | Thursday, 23rd May 2024 DIF.BK stock ended at ฿7.90. During the day the stock fluctuated 1.27% from a day low at ฿7.85 to a day high of ฿7.95. |
90 days | ฿7.45 | ฿8.15 | |
52 weeks | ฿7.25 | ฿12.40 |
Date | Open | High | Low | Close | Volume |
Mar 06, 2024 | ฿7.80 | ฿7.85 | ฿7.75 | ฿7.85 | 4 232 421 |
Mar 05, 2024 | ฿7.80 | ฿7.85 | ฿7.80 | ฿7.80 | 3 089 902 |
Mar 04, 2024 | ฿7.90 | ฿7.90 | ฿7.80 | ฿7.85 | 8 266 421 |
Mar 01, 2024 | ฿7.80 | ฿7.90 | ฿7.80 | ฿7.90 | 15 472 346 |
Feb 29, 2024 | ฿7.85 | ฿7.90 | ฿7.80 | ฿7.85 | 13 125 218 |
Feb 28, 2024 | ฿7.85 | ฿7.90 | ฿7.80 | ฿7.85 | 13 106 533 |
Feb 27, 2024 | ฿7.85 | ฿7.90 | ฿7.75 | ฿7.80 | 13 649 905 |
Feb 23, 2024 | ฿7.90 | ฿7.90 | ฿7.80 | ฿7.85 | 9 665 399 |
Feb 22, 2024 | ฿7.90 | ฿7.90 | ฿7.85 | ฿7.90 | 6 082 965 |
Feb 21, 2024 | ฿7.90 | ฿7.95 | ฿7.85 | ฿7.90 | 7 979 742 |
Feb 20, 2024 | ฿8.00 | ฿8.00 | ฿7.90 | ฿7.90 | 9 658 220 |
Feb 19, 2024 | ฿7.95 | ฿8.00 | ฿7.90 | ฿7.95 | 6 921 587 |
Feb 16, 2024 | ฿7.90 | ฿7.95 | ฿7.90 | ฿7.95 | 3 911 727 |
Feb 15, 2024 | ฿7.90 | ฿7.90 | ฿7.85 | ฿7.90 | 3 234 862 |
Feb 14, 2024 | ฿7.85 | ฿7.90 | ฿7.85 | ฿7.90 | 4 568 747 |
Feb 13, 2024 | ฿7.95 | ฿7.95 | ฿7.85 | ฿7.90 | 11 358 212 |
Feb 12, 2024 | ฿7.95 | ฿8.00 | ฿7.90 | ฿7.95 | 8 997 542 |
Feb 09, 2024 | ฿8.00 | ฿8.00 | ฿7.95 | ฿7.95 | 3 582 956 |
Feb 08, 2024 | ฿7.95 | ฿8.05 | ฿7.95 | ฿8.00 | 10 633 641 |
Feb 07, 2024 | ฿8.20 | ฿8.20 | ฿8.15 | ฿8.15 | 18 200 263 |
Feb 06, 2024 | ฿8.20 | ฿8.20 | ฿8.15 | ฿8.20 | 13 249 052 |
Feb 05, 2024 | ฿8.25 | ฿8.25 | ฿8.15 | ฿8.15 | 7 423 232 |
Feb 02, 2024 | ฿8.25 | ฿8.30 | ฿8.20 | ฿8.25 | 12 042 843 |
Feb 01, 2024 | ฿8.20 | ฿8.30 | ฿8.15 | ฿8.25 | 11 223 687 |
Jan 31, 2024 | ฿8.20 | ฿8.25 | ฿8.15 | ฿8.20 | 11 813 680 |
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 DIF.BK stock historical prices to predict future price movements?
Trend Analysis: Examine the DIF.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 DIF.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.