SET:CSS
Communication & System Solution Public Stock Price (Quote)
฿0.80
+0 (+0%)
At Close: Jun 19, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ฿0.780 | ฿0.93 | Wednesday, 19th Jun 2024 CSS.BK stock ended at ฿0.80. During the day the stock fluctuated 3.80% from a day low at ฿0.790 to a day high of ฿0.82. |
90 days | ฿0.780 | ฿1.03 | |
52 weeks | ฿0.720 | ฿1.32 |
Historical Communication & System Solution Public Company Limited prices
Date | Open | High | Low | Close | Volume |
Jun 19, 2024 | ฿0.82 | ฿0.82 | ฿0.790 | ฿0.80 | 2 278 466 |
Jun 18, 2024 | ฿0.80 | ฿0.83 | ฿0.80 | ฿0.80 | 577 005 |
Jun 17, 2024 | ฿0.80 | ฿0.81 | ฿0.790 | ฿0.790 | 2 000 210 |
Jun 14, 2024 | ฿0.81 | ฿0.81 | ฿0.80 | ฿0.80 | 308 500 |
Jun 13, 2024 | ฿0.80 | ฿0.81 | ฿0.80 | ฿0.81 | 116 900 |
Jun 12, 2024 | ฿0.81 | ฿0.81 | ฿0.80 | ฿0.81 | 510 491 |
Jun 11, 2024 | ฿0.80 | ฿0.82 | ฿0.80 | ฿0.82 | 358 700 |
Jun 10, 2024 | ฿0.80 | ฿0.80 | ฿0.780 | ฿0.80 | 466 108 |
Jun 07, 2024 | ฿0.780 | ฿0.80 | ฿0.780 | ฿0.790 | 338 253 |
Jun 06, 2024 | ฿0.84 | ฿0.84 | ฿0.780 | ฿0.780 | 968 303 |
Jun 05, 2024 | ฿0.86 | ฿0.86 | ฿0.82 | ฿0.82 | 707 898 |
Jun 04, 2024 | ฿0.84 | ฿0.86 | ฿0.83 | ฿0.85 | 294 718 |
May 31, 2024 | ฿0.85 | ฿0.86 | ฿0.84 | ฿0.84 | 862 700 |
May 30, 2024 | ฿0.88 | ฿0.88 | ฿0.85 | ฿0.86 | 869 047 |
May 29, 2024 | ฿0.90 | ฿0.90 | ฿0.86 | ฿0.87 | 1 398 912 |
May 28, 2024 | ฿0.90 | ฿0.90 | ฿0.88 | ฿0.88 | 623 507 |
May 27, 2024 | ฿0.89 | ฿0.91 | ฿0.89 | ฿0.90 | 1 167 311 |
May 24, 2024 | ฿0.90 | ฿0.91 | ฿0.90 | ฿0.91 | 622 900 |
May 23, 2024 | ฿0.92 | ฿0.92 | ฿0.90 | ฿0.90 | 329 004 |
May 21, 2024 | ฿0.91 | ฿0.92 | ฿0.90 | ฿0.90 | 214 001 |
May 20, 2024 | ฿0.92 | ฿0.93 | ฿0.90 | ฿0.91 | 1 235 704 |
May 17, 2024 | ฿0.92 | ฿0.92 | ฿0.90 | ฿0.92 | 233 802 |
May 16, 2024 | ฿0.92 | ฿0.93 | ฿0.90 | ฿0.91 | 308 101 |
May 15, 2024 | ฿0.93 | ฿0.93 | ฿0.90 | ฿0.91 | 388 800 |
May 14, 2024 | ฿0.90 | ฿0.92 | ฿0.90 | ฿0.92 | 1 310 400 |
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 CSS.BK stock historical prices to predict future price movements?
Trend Analysis: Examine the CSS.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 CSS.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.