₹2.47
+0.120 (+5.11%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹1.87 | ₹2.75 | Tuesday, 18th Nov 2025 ANUPAM.BO stock ended at ₹2.47. This is 5.11% more than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 16.29% from a day low at ₹2.21 to a day high of ₹2.57. |
| 90 days | ₹1.87 | ₹2.75 | |
| 52 weeks | ₹1.25 | ₹3.36 |
Historical ANUPAM FINSERV LIMITED prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ₹2.39 | ₹2.57 | ₹2.21 | ₹2.47 | 707 190 |
| Nov 17, 2025 | ₹2.65 | ₹2.75 | ₹2.34 | ₹2.35 | 1 614 682 |
| Nov 14, 2025 | ₹2.35 | ₹2.65 | ₹2.25 | ₹2.59 | 1 549 540 |
| Nov 13, 2025 | ₹2.46 | ₹2.46 | ₹2.32 | ₹2.46 | 1 858 245 |
| Nov 12, 2025 | ₹2.17 | ₹2.29 | ₹2.10 | ₹2.24 | 403 738 |
| Nov 11, 2025 | ₹2.12 | ₹2.25 | ₹2.08 | ₹2.14 | 584 568 |
| Nov 10, 2025 | ₹2.08 | ₹2.17 | ₹2.05 | ₹2.07 | 477 887 |
| Nov 07, 2025 | ₹2.07 | ₹2.15 | ₹2.03 | ₹2.08 | 197 828 |
| Nov 06, 2025 | ₹2.08 | ₹2.08 | ₹2.04 | ₹2.07 | 181 386 |
| Nov 04, 2025 | ₹2.08 | ₹2.09 | ₹2.01 | ₹2.08 | 297 434 |
| Nov 03, 2025 | ₹2.10 | ₹2.10 | ₹1.87 | ₹2.03 | 323 087 |
| Oct 31, 2025 | ₹2.03 | ₹2.06 | ₹2.00 | ₹2.04 | 197 229 |
| Oct 30, 2025 | ₹2.05 | ₹2.05 | ₹2.00 | ₹2.04 | 135 594 |
| Oct 29, 2025 | ₹2.04 | ₹2.10 | ₹2.02 | ₹2.03 | 170 238 |
| Oct 28, 2025 | ₹2.07 | ₹2.14 | ₹2.04 | ₹2.04 | 155 159 |
| Oct 27, 2025 | ₹2.03 | ₹2.10 | ₹2.00 | ₹2.04 | 333 133 |
| Oct 24, 2025 | ₹2.03 | ₹2.03 | ₹1.91 | ₹2.00 | 521 559 |
| Oct 23, 2025 | ₹2.04 | ₹2.07 | ₹1.97 | ₹1.99 | 289 056 |
| Oct 20, 2025 | ₹1.99 | ₹2.05 | ₹1.99 | ₹2.04 | 116 948 |
| Oct 17, 2025 | ₹2.02 | ₹2.05 | ₹1.98 | ₹1.99 | 223 349 |
| Oct 16, 2025 | ₹2.00 | ₹2.06 | ₹2.00 | ₹2.02 | 211 790 |
| Oct 15, 2025 | ₹2.04 | ₹2.08 | ₹1.99 | ₹2.03 | 159 479 |
| Oct 14, 2025 | ₹2.12 | ₹2.12 | ₹2.02 | ₹2.05 | 264 564 |
| Oct 13, 2025 | ₹2.05 | ₹2.13 | ₹2.01 | ₹2.12 | 144 402 |
| Oct 10, 2025 | ₹2.11 | ₹2.11 | ₹2.00 | ₹2.07 | 186 382 |
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 ANUPAM.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the ANUPAM.BO 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 ANUPAM.BO 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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