₹28.80
-0.630 (-2.14%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹25.40 | ₹32.50 | Monday, 10th Aug 2026 IBULLSLTD.NS stock ended at ₹28.80. This is 2.14% less than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 4.76% from a day low at ₹28.16 to a day high of ₹29.50. |
| 90 days | ₹16.82 | ₹32.50 | |
| 52 weeks | ₹8.90 | ₹32.50 |
Historical Indiabulls Ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | ₹29.43 | ₹29.50 | ₹28.16 | ₹28.80 | 3 338 549 |
| Aug 07, 2026 | ₹31.40 | ₹31.90 | ₹28.98 | ₹29.43 | 9 268 533 |
| Aug 06, 2026 | ₹29.89 | ₹30.50 | ₹29.63 | ₹30.50 | 4 588 685 |
| Aug 05, 2026 | ₹28.08 | ₹29.05 | ₹27.80 | ₹29.05 | 0 |
| Aug 04, 2026 | ₹27.20 | ₹28.00 | ₹27.09 | ₹27.67 | 0 |
| Aug 03, 2026 | ₹27.02 | ₹28.01 | ₹26.60 | ₹27.09 | 6 861 186 |
| Jul 31, 2026 | ₹25.40 | ₹27.89 | ₹25.40 | ₹27.38 | 24 336 379 |
| Jul 30, 2026 | ₹27.27 | ₹27.90 | ₹26.73 | ₹26.73 | 6 761 566 |
| Jul 29, 2026 | ₹28.55 | ₹29.49 | ₹28.13 | ₹28.13 | 5 755 487 |
| Jul 28, 2026 | ₹31.50 | ₹31.50 | ₹29.61 | ₹29.61 | 4 156 541 |
| Jul 27, 2026 | ₹30.84 | ₹31.80 | ₹30.50 | ₹31.16 | 4 694 380 |
| Jul 24, 2026 | ₹28.43 | ₹30.95 | ₹28.01 | ₹30.53 | 10 183 237 |
| Jul 23, 2026 | ₹29.20 | ₹30.20 | ₹29.15 | ₹29.48 | 11 168 430 |
| Jul 22, 2026 | ₹28.92 | ₹30.30 | ₹27.61 | ₹29.59 | 8 943 765 |
| Jul 21, 2026 | ₹29.79 | ₹29.83 | ₹28.81 | ₹28.96 | 2 018 638 |
| Jul 20, 2026 | ₹29.10 | ₹30.14 | ₹28.60 | ₹29.39 | 3 089 675 |
| Jul 17, 2026 | ₹30.10 | ₹30.12 | ₹28.80 | ₹28.99 | 4 212 972 |
| Jul 16, 2026 | ₹31.99 | ₹32.15 | ₹30.02 | ₹30.09 | 8 369 462 |
| Jul 15, 2026 | ₹31.50 | ₹31.90 | ₹30.20 | ₹31.59 | 4 915 995 |
| Jul 14, 2026 | ₹30.93 | ₹32.50 | ₹30.60 | ₹30.90 | 12 388 874 |
| Jul 13, 2026 | ₹30.40 | ₹31.11 | ₹29.40 | ₹31.10 | 17 808 245 |
| Jul 10, 2026 | ₹30.00 | ₹30.49 | ₹29.10 | ₹29.63 | 3 427 593 |
| Jul 09, 2026 | ₹28.50 | ₹29.59 | ₹28.50 | ₹29.57 | 4 239 836 |
| Jul 08, 2026 | ₹29.05 | ₹30.35 | ₹28.06 | ₹28.19 | 11 840 602 |
| Jul 07, 2026 | ₹30.50 | ₹30.60 | ₹28.66 | ₹29.05 | 12 483 447 |
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 IBULLSLTD.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the IBULLSLTD.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 IBULLSLTD.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.
Sign In
Buy IBULLSLTD