SET:TSE
Thai Solar Energy Public Company Limited Stock Price (Quote)
฿1.16
+0 (+0%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ฿1.10 | ฿1.27 | Monday, 20th May 2024 TSE.BK stock ended at ฿1.16. During the day the stock fluctuated 2.61% from a day low at ฿1.15 to a day high of ฿1.18. |
90 days | ฿1.08 | ฿1.88 | |
52 weeks | ฿1.08 | ฿2.60 |
Date | Open | High | Low | Close | Volume |
Dec 20, 2023 | ฿1.71 | ฿1.73 | ฿1.71 | ฿1.72 | 1 338 400 |
Dec 19, 2023 | ฿1.73 | ฿1.73 | ฿1.70 | ฿1.70 | 361 480 |
Dec 18, 2023 | ฿1.68 | ฿1.74 | ฿1.67 | ฿1.73 | 2 669 450 |
Dec 15, 2023 | ฿1.69 | ฿1.70 | ฿1.67 | ฿1.68 | 1 196 908 |
Dec 14, 2023 | ฿1.66 | ฿1.69 | ฿1.66 | ฿1.68 | 612 594 |
Dec 13, 2023 | ฿1.69 | ฿1.69 | ฿1.64 | ฿1.65 | 1 038 291 |
Dec 12, 2023 | ฿1.74 | ฿1.74 | ฿1.68 | ฿1.69 | 2 493 136 |
Dec 08, 2023 | ฿1.75 | ฿1.75 | ฿1.73 | ฿1.74 | 1 069 765 |
Dec 07, 2023 | ฿1.80 | ฿1.81 | ฿1.74 | ฿1.74 | 2 090 451 |
Dec 06, 2023 | ฿1.76 | ฿1.82 | ฿1.76 | ฿1.81 | 1 128 800 |
Dec 04, 2023 | ฿1.77 | ฿1.78 | ฿1.75 | ฿1.76 | 931 250 |
Dec 01, 2023 | ฿1.79 | ฿1.79 | ฿1.76 | ฿1.78 | 630 350 |
Nov 30, 2023 | ฿1.77 | ฿1.80 | ฿1.77 | ฿1.79 | 1 214 101 |
Nov 29, 2023 | ฿1.81 | ฿1.81 | ฿1.79 | ฿1.80 | 435 901 |
Nov 28, 2023 | ฿1.79 | ฿1.81 | ฿1.78 | ฿1.80 | 675 900 |
Nov 27, 2023 | ฿1.79 | ฿1.79 | ฿1.77 | ฿1.79 | 554 110 |
Nov 24, 2023 | ฿1.86 | ฿1.86 | ฿1.79 | ฿1.81 | 1 904 626 |
Nov 23, 2023 | ฿1.84 | ฿1.88 | ฿1.83 | ฿1.85 | 1 300 800 |
Nov 22, 2023 | ฿1.81 | ฿1.84 | ฿1.78 | ฿1.83 | 511 900 |
Nov 21, 2023 | ฿1.80 | ฿1.81 | ฿1.79 | ฿1.80 | 555 700 |
Nov 20, 2023 | ฿1.80 | ฿1.81 | ฿1.79 | ฿1.79 | 174 400 |
Nov 17, 2023 | ฿1.80 | ฿1.81 | ฿1.78 | ฿1.81 | 287 403 |
Nov 16, 2023 | ฿1.78 | ฿1.80 | ฿1.76 | ฿1.80 | 586 701 |
Nov 15, 2023 | ฿1.75 | ฿1.79 | ฿1.75 | ฿1.79 | 1 271 200 |
Nov 14, 2023 | ฿1.75 | ฿1.75 | ฿1.73 | ฿1.74 | 691 446 |
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 TSE.BK stock historical prices to predict future price movements?
Trend Analysis: Examine the TSE.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 TSE.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.