฿0.94
+0 (+0%)
At Close: Jul 24, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ฿0.89 | ฿1.01 | Friday, 24th Jul 2026 HENG.BK stock ended at ฿0.94. During the day the stock fluctuated 3.23% from a day low at ฿0.93 to a day high of ฿0.96. |
| 90 days | ฿0.85 | ฿1.07 | |
| 52 weeks | ฿0.83 | ฿1.29 |
Historical Heng Leasing And Capital Public Company Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 24, 2026 | ฿0.93 | ฿0.96 | ฿0.93 | ฿0.94 | 2 768 298 |
| Jul 23, 2026 | ฿0.96 | ฿0.96 | ฿0.94 | ฿0.94 | 3 367 200 |
| Jul 22, 2026 | ฿0.97 | ฿0.97 | ฿0.94 | ฿0.95 | 7 953 085 |
| Jul 21, 2026 | ฿1.01 | ฿1.01 | ฿0.96 | ฿0.97 | 12 628 531 |
| Jul 20, 2026 | ฿0.97 | ฿1.01 | ฿0.96 | ฿0.99 | 42 057 431 |
| Jul 17, 2026 | ฿0.94 | ฿0.98 | ฿0.94 | ฿0.97 | 9 190 703 |
| Jul 16, 2026 | ฿0.94 | ฿0.96 | ฿0.94 | ฿0.94 | 3 301 816 |
| Jul 15, 2026 | ฿0.96 | ฿0.97 | ฿0.93 | ฿0.94 | 5 412 630 |
| Jul 14, 2026 | ฿0.95 | ฿0.97 | ฿0.93 | ฿0.96 | 4 682 301 |
| Jul 13, 2026 | ฿0.94 | ฿0.96 | ฿0.93 | ฿0.95 | 6 170 120 |
| Jul 10, 2026 | ฿0.92 | ฿0.95 | ฿0.92 | ฿0.93 | 2 263 101 |
| Jul 09, 2026 | ฿0.91 | ฿0.93 | ฿0.91 | ฿0.92 | 3 582 802 |
| Jul 08, 2026 | ฿0.93 | ฿0.98 | ฿0.91 | ฿0.91 | 12 949 729 |
| Jul 07, 2026 | ฿0.97 | ฿0.97 | ฿0.93 | ฿0.94 | 8 195 302 |
| Jul 06, 2026 | ฿0.93 | ฿0.98 | ฿0.93 | ฿0.97 | 9 145 724 |
| Jul 03, 2026 | ฿0.91 | ฿0.93 | ฿0.91 | ฿0.93 | 3 064 001 |
| Jul 02, 2026 | ฿0.92 | ฿0.93 | ฿0.91 | ฿0.91 | 1 919 899 |
| Jul 01, 2026 | ฿0.92 | ฿0.93 | ฿0.91 | ฿0.92 | 1 138 845 |
| Jun 30, 2026 | ฿0.92 | ฿0.92 | ฿0.91 | ฿0.92 | 520 710 |
| Jun 29, 2026 | ฿0.92 | ฿0.92 | ฿0.91 | ฿0.91 | 978 850 |
| Jun 26, 2026 | ฿0.93 | ฿0.93 | ฿0.91 | ฿0.92 | 2 143 601 |
| Jun 25, 2026 | ฿0.91 | ฿0.93 | ฿0.91 | ฿0.93 | 3 772 500 |
| Jun 24, 2026 | ฿0.90 | ฿0.94 | ฿0.89 | ฿0.91 | 3 723 721 |
| Jun 23, 2026 | ฿0.91 | ฿0.92 | ฿0.89 | ฿0.89 | 2 757 879 |
| Jun 22, 2026 | ฿0.91 | ฿0.93 | ฿0.91 | ฿0.91 | 1 506 000 |
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 HENG.BK stock historical prices to predict future price movements?
Trend Analysis: Examine the HENG.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 HENG.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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