₹27.45
-0.140 (-0.507%)
At Close: Aug 11, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹26.70 | ₹28.26 | Tuesday, 11th Aug 2026 BFSI.NS stock ended at ₹27.45. This is 0.507% less than the trading day before Monday, 10th Aug 2026. During the day the stock fluctuated 1.83% from a day low at ₹27.37 to a day high of ₹27.87. |
| 90 days | ₹25.40 | ₹28.77 | |
| 52 weeks | ₹24.03 | ₹29.94 |
Historical Miraeamc - Mafsetf prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 11, 2026 | ₹27.87 | ₹27.87 | ₹27.37 | ₹27.45 | 855 862 |
| Aug 10, 2026 | ₹27.60 | ₹27.74 | ₹27.41 | ₹27.59 | 1 023 456 |
| Aug 07, 2026 | ₹27.30 | ₹28.13 | ₹27.30 | ₹27.61 | 510 634 |
| Aug 06, 2026 | ₹27.82 | ₹27.98 | ₹27.82 | ₹27.95 | 193 991 |
| Aug 05, 2026 | ₹27.96 | ₹27.99 | ₹27.75 | ₹27.82 | 0 |
| Aug 04, 2026 | ₹27.97 | ₹28.12 | ₹27.65 | ₹27.80 | 0 |
| Aug 03, 2026 | ₹27.78 | ₹28.20 | ₹27.43 | ₹27.90 | 599 668 |
| Jul 31, 2026 | ₹27.51 | ₹27.68 | ₹27.36 | ₹27.61 | 233 417 |
| Jul 30, 2026 | ₹27.62 | ₹27.62 | ₹27.10 | ₹27.21 | 196 310 |
| Jul 29, 2026 | ₹27.15 | ₹27.34 | ₹27.12 | ₹27.32 | 244 623 |
| Jul 28, 2026 | ₹27.78 | ₹27.78 | ₹26.97 | ₹27.04 | 205 975 |
| Jul 27, 2026 | ₹27.26 | ₹27.26 | ₹26.96 | ₹27.12 | 263 968 |
| Jul 24, 2026 | ₹26.93 | ₹27.05 | ₹26.70 | ₹26.95 | 249 270 |
| Jul 23, 2026 | ₹27.30 | ₹27.30 | ₹26.90 | ₹27.02 | 170 925 |
| Jul 22, 2026 | ₹27.41 | ₹27.60 | ₹27.17 | ₹27.20 | 534 523 |
| Jul 21, 2026 | ₹27.60 | ₹27.67 | ₹27.53 | ₹27.58 | 210 838 |
| Jul 20, 2026 | ₹27.67 | ₹27.84 | ₹27.41 | ₹27.65 | 1 055 216 |
| Jul 17, 2026 | ₹28.26 | ₹28.26 | ₹27.63 | ₹27.97 | 252 448 |
| Jul 16, 2026 | ₹27.70 | ₹27.74 | ₹27.52 | ₹27.58 | 159 770 |
| Jul 15, 2026 | ₹27.55 | ₹27.96 | ₹27.55 | ₹27.70 | 159 898 |
| Jul 14, 2026 | ₹27.75 | ₹27.75 | ₹27.51 | ₹27.58 | 236 473 |
| Jul 13, 2026 | ₹27.86 | ₹27.90 | ₹27.56 | ₹27.84 | 375 247 |
| Jul 10, 2026 | ₹27.56 | ₹27.92 | ₹27.56 | ₹27.86 | 109 372 |
| Jul 09, 2026 | ₹27.41 | ₹27.63 | ₹27.40 | ₹27.53 | 298 363 |
| Jul 08, 2026 | ₹27.32 | ₹28.14 | ₹27.28 | ₹27.33 | 770 297 |
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 BFSI.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the BFSI.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 BFSI.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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