₹695.25
+0.700 (+0.101%)
At Close: Aug 11, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹685.20 | ₹770.95 | Tuesday, 11th Aug 2026 HBLENGINE.NS stock ended at ₹695.25. This is 0.101% more than the trading day before Monday, 10th Aug 2026. During the day the stock fluctuated 2.89% from a day low at ₹693.80 to a day high of ₹713.85. |
| 90 days | ₹685.20 | ₹875.00 | |
| 52 weeks | ₹613.00 | ₹1,122.00 |
Historical Hbl Engineering Ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 11, 2026 | ₹700.00 | ₹713.85 | ₹693.80 | ₹695.25 | 1 122 008 |
| Aug 10, 2026 | ₹707.70 | ₹709.70 | ₹690.70 | ₹694.55 | 1 946 837 |
| Aug 07, 2026 | ₹734.00 | ₹743.80 | ₹720.20 | ₹727.10 | 548 164 |
| Aug 06, 2026 | ₹740.00 | ₹743.85 | ₹730.50 | ₹736.15 | 599 653 |
| Aug 05, 2026 | ₹735.00 | ₹745.00 | ₹730.00 | ₹736.50 | 0 |
| Aug 04, 2026 | ₹727.00 | ₹736.60 | ₹721.10 | ₹729.20 | 0 |
| Aug 03, 2026 | ₹724.00 | ₹741.70 | ₹721.65 | ₹739.20 | 966 826 |
| Jul 31, 2026 | ₹700.00 | ₹735.90 | ₹700.00 | ₹718.70 | 2 001 444 |
| Jul 30, 2026 | ₹705.00 | ₹707.00 | ₹697.00 | ₹699.30 | 435 348 |
| Jul 29, 2026 | ₹701.90 | ₹714.45 | ₹698.15 | ₹708.05 | 617 309 |
| Jul 28, 2026 | ₹713.00 | ₹713.00 | ₹692.80 | ₹694.95 | 613 117 |
| Jul 27, 2026 | ₹701.10 | ₹715.80 | ₹701.05 | ₹713.75 | 656 872 |
| Jul 24, 2026 | ₹701.50 | ₹704.95 | ₹685.20 | ₹698.60 | 1 004 547 |
| Jul 23, 2026 | ₹715.00 | ₹726.65 | ₹702.00 | ₹704.95 | 738 157 |
| Jul 22, 2026 | ₹727.00 | ₹729.80 | ₹709.10 | ₹712.60 | 659 548 |
| Jul 21, 2026 | ₹731.30 | ₹735.25 | ₹728.00 | ₹729.05 | 398 556 |
| Jul 20, 2026 | ₹737.00 | ₹744.55 | ₹722.75 | ₹730.65 | 889 940 |
| Jul 17, 2026 | ₹741.00 | ₹745.85 | ₹734.45 | ₹741.90 | 582 623 |
| Jul 16, 2026 | ₹758.00 | ₹760.85 | ₹737.05 | ₹741.30 | 831 593 |
| Jul 15, 2026 | ₹747.00 | ₹759.45 | ₹745.00 | ₹754.95 | 739 941 |
| Jul 14, 2026 | ₹762.00 | ₹765.90 | ₹742.00 | ₹743.30 | 963 046 |
| Jul 13, 2026 | ₹760.00 | ₹770.95 | ₹756.20 | ₹766.20 | 730 855 |
| Jul 10, 2026 | ₹766.00 | ₹777.00 | ₹758.80 | ₹765.85 | 865 704 |
| Jul 09, 2026 | ₹755.05 | ₹777.85 | ₹755.05 | ₹760.15 | 824 737 |
| Jul 08, 2026 | ₹774.90 | ₹783.80 | ₹752.95 | ₹757.05 | 953 672 |
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 HBLENGINE.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the HBLENGINE.NS 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 HBLENGINE.NS 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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