฿2.90
+0 (+0%)
At Close: Jul 31, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ฿2.82 | ฿2.98 | Friday, 31st Jul 2026 TNP.BK stock ended at ฿2.90. During the day the stock fluctuated 0.694% from a day low at ฿2.88 to a day high of ฿2.90. |
| 90 days | ฿2.68 | ฿3.10 | |
| 52 weeks | ฿2.62 | ฿3.52 |
Historical Thanapiriya Public Company Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 31, 2026 | ฿2.90 | ฿2.90 | ฿2.88 | ฿2.90 | 173 313 |
| Jul 30, 2026 | ฿2.88 | ฿2.90 | ฿2.86 | ฿2.90 | 146 819 |
| Jul 27, 2026 | ฿2.90 | ฿2.90 | ฿2.88 | ฿2.90 | 39 043 |
| Jul 24, 2026 | ฿2.86 | ฿2.90 | ฿2.86 | ฿2.88 | 130 766 |
| Jul 23, 2026 | ฿2.90 | ฿2.90 | ฿2.86 | ฿2.86 | 203 274 |
| Jul 22, 2026 | ฿2.96 | ฿2.96 | ฿2.86 | ฿2.86 | 483 730 |
| Jul 21, 2026 | ฿2.90 | ฿2.92 | ฿2.88 | ฿2.90 | 183 648 |
| Jul 20, 2026 | ฿2.94 | ฿2.94 | ฿2.86 | ฿2.90 | 305 982 |
| Jul 17, 2026 | ฿2.92 | ฿2.94 | ฿2.88 | ฿2.92 | 283 798 |
| Jul 16, 2026 | ฿2.96 | ฿2.96 | ฿2.92 | ฿2.92 | 199 013 |
| Jul 15, 2026 | ฿2.96 | ฿2.98 | ฿2.94 | ฿2.94 | 324 064 |
| Jul 14, 2026 | ฿2.92 | ฿2.94 | ฿2.90 | ฿2.94 | 254 884 |
| Jul 13, 2026 | ฿2.90 | ฿2.92 | ฿2.88 | ฿2.90 | 265 108 |
| Jul 10, 2026 | ฿2.86 | ฿2.90 | ฿2.86 | ฿2.90 | 364 684 |
| Jul 09, 2026 | ฿2.88 | ฿2.88 | ฿2.84 | ฿2.86 | 126 711 |
| Jul 08, 2026 | ฿2.86 | ฿2.90 | ฿2.84 | ฿2.84 | 296 827 |
| Jul 07, 2026 | ฿2.88 | ฿2.88 | ฿2.84 | ฿2.88 | 541 708 |
| Jul 06, 2026 | ฿2.90 | ฿2.90 | ฿2.86 | ฿2.88 | 165 496 |
| Jul 03, 2026 | ฿2.90 | ฿2.90 | ฿2.86 | ฿2.88 | 497 798 |
| Jul 02, 2026 | ฿2.86 | ฿2.86 | ฿2.82 | ฿2.84 | 142 765 |
| Jul 01, 2026 | ฿2.86 | ฿2.90 | ฿2.84 | ฿2.84 | 365 718 |
| Jun 30, 2026 | ฿2.78 | ฿2.86 | ฿2.78 | ฿2.86 | 444 030 |
| Jun 29, 2026 | ฿2.76 | ฿2.80 | ฿2.76 | ฿2.78 | 285 724 |
| Jun 26, 2026 | ฿2.76 | ฿2.78 | ฿2.70 | ฿2.74 | 1 339 041 |
| Jun 25, 2026 | ฿2.76 | ฿2.78 | ฿2.74 | ฿2.76 | 131 798 |
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 TNP.BK stock historical prices to predict future price movements?
Trend Analysis: Examine the TNP.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 TNP.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.
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