SET:PYLON-R
Delisted
Pylon Public Company Limited Stock Price (Quote)
฿2.66
+0 (+0%)
At Close: Jan 04, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ฿2.66 | ฿2.66 | Thursday, 4th Jan 2024 PYLON-R.BK stock ended at ฿2.66. During the day the stock fluctuated 0% from a day low at ฿2.66 to a day high of ฿2.66. |
90 days | ฿2.66 | ฿2.66 | |
52 weeks | ฿2.42 | ฿4.92 |
Historical Pylon Public Company Limited prices
Date | Open | High | Low | Close | Volume |
Mar 13, 2020 | ฿3.50 | ฿3.78 | ฿3.32 | ฿3.60 | 2 236 000 |
Mar 12, 2020 | ฿4.58 | ฿4.58 | ฿4.08 | ฿4.12 | 3 835 600 |
Mar 11, 2020 | ฿4.68 | ฿4.72 | ฿4.64 | ฿4.68 | 838 300 |
Mar 10, 2020 | ฿4.62 | ฿4.68 | ฿4.60 | ฿4.68 | 1 176 900 |
Mar 09, 2020 | ฿4.66 | ฿4.72 | ฿4.56 | ฿4.60 | 2 607 000 |
Mar 06, 2020 | ฿4.74 | ฿4.82 | ฿4.72 | ฿4.80 | 434 900 |
Mar 05, 2020 | ฿4.80 | ฿4.90 | ฿4.78 | ฿4.80 | 2 749 000 |
Mar 04, 2020 | ฿4.70 | ฿4.76 | ฿4.70 | ฿4.78 | 1 077 000 |
Mar 03, 2020 | ฿4.72 | ฿4.76 | ฿4.70 | ฿4.74 | 887 400 |
Mar 02, 2020 | ฿4.66 | ฿4.70 | ฿4.58 | ฿4.68 | 1 246 100 |
Feb 28, 2020 | ฿4.62 | ฿4.72 | ฿4.62 | ฿4.68 | 2 431 800 |
Feb 27, 2020 | ฿4.64 | ฿4.74 | ฿4.60 | ฿4.72 | 2 927 400 |
Feb 26, 2020 | ฿4.84 | ฿4.84 | ฿4.58 | ฿4.60 | 2 225 900 |
Feb 25, 2020 | ฿4.82 | ฿4.90 | ฿4.76 | ฿4.86 | 1 982 300 |
Feb 24, 2020 | ฿4.98 | ฿4.98 | ฿4.82 | ฿4.84 | 2 024 500 |
Feb 21, 2020 | ฿4.96 | ฿5.05 | ฿4.90 | ฿5.05 | 1 164 600 |
Feb 20, 2020 | ฿5.05 | ฿5.05 | ฿4.94 | ฿5.00 | 1 416 900 |
Feb 19, 2020 | ฿5.00 | ฿5.05 | ฿5.00 | ฿5.05 | 1 302 100 |
Feb 18, 2020 | ฿5.15 | ฿5.15 | ฿4.98 | ฿5.00 | 2 823 900 |
Feb 17, 2020 | ฿5.20 | ฿5.20 | ฿5.05 | ฿5.10 | 1 476 000 |
Feb 14, 2020 | ฿5.20 | ฿5.25 | ฿5.15 | ฿5.20 | 3 426 300 |
Feb 13, 2020 | ฿5.25 | ฿5.30 | ฿5.10 | ฿5.15 | 4 774 900 |
Feb 12, 2020 | ฿5.10 | ฿5.20 | ฿5.10 | ฿5.20 | 3 282 000 |
Feb 11, 2020 | ฿5.15 | ฿5.25 | ฿5.05 | ฿5.10 | 5 720 500 |
Feb 07, 2020 | ฿5.15 | ฿5.30 | ฿5.00 | ฿5.05 | 4 017 000 |
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 PYLON-R.BK stock historical prices to predict future price movements?
Trend Analysis: Examine the PYLON-R.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 PYLON-R.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.