₹1.46
-0.0700 (-4.58%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹1.34 | ₹1.65 | Tuesday, 18th Nov 2025 EXCEL.BO stock ended at ₹1.46. This is 4.58% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 3.42% from a day low at ₹1.46 to a day high of ₹1.51. |
| 90 days | ₹1.25 | ₹1.75 | |
| 52 weeks | ₹0.650 | ₹1.86 |
Historical Excel Realty N Infra Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ₹1.50 | ₹1.51 | ₹1.46 | ₹1.46 | 753 132 |
| Nov 17, 2025 | ₹1.54 | ₹1.55 | ₹1.49 | ₹1.53 | 891 501 |
| Nov 14, 2025 | ₹1.57 | ₹1.60 | ₹1.51 | ₹1.55 | 1 475 019 |
| Nov 13, 2025 | ₹1.61 | ₹1.61 | ₹1.51 | ₹1.57 | 1 763 790 |
| Nov 12, 2025 | ₹1.56 | ₹1.62 | ₹1.52 | ₹1.57 | 387 231 |
| Nov 11, 2025 | ₹1.64 | ₹1.65 | ₹1.55 | ₹1.59 | 358 456 |
| Nov 10, 2025 | ₹1.55 | ₹1.64 | ₹1.55 | ₹1.58 | 655 381 |
| Nov 07, 2025 | ₹1.47 | ₹1.59 | ₹1.47 | ₹1.59 | 1 359 161 |
| Nov 06, 2025 | ₹1.45 | ₹1.52 | ₹1.41 | ₹1.52 | 568 538 |
| Nov 04, 2025 | ₹1.37 | ₹1.47 | ₹1.34 | ₹1.45 | 570 321 |
| Nov 03, 2025 | ₹1.51 | ₹1.51 | ₹1.41 | ₹1.41 | 610 003 |
| Oct 31, 2025 | ₹1.56 | ₹1.56 | ₹1.47 | ₹1.48 | 1 309 465 |
| Oct 30, 2025 | ₹1.49 | ₹1.55 | ₹1.46 | ₹1.54 | 232 315 |
| Oct 29, 2025 | ₹1.55 | ₹1.55 | ₹1.51 | ₹1.51 | 738 460 |
| Oct 28, 2025 | ₹1.61 | ₹1.61 | ₹1.54 | ₹1.58 | 357 408 |
| Oct 27, 2025 | ₹1.60 | ₹1.64 | ₹1.51 | ₹1.58 | 1 270 377 |
| Oct 24, 2025 | ₹1.62 | ₹1.65 | ₹1.53 | ₹1.60 | 765 490 |
| Oct 23, 2025 | ₹1.56 | ₹1.62 | ₹1.49 | ₹1.59 | 1 476 285 |
| Oct 20, 2025 | ₹1.61 | ₹1.61 | ₹1.53 | ₹1.53 | 947 447 |
| Oct 17, 2025 | ₹1.57 | ₹1.63 | ₹1.49 | ₹1.61 | 3 064 788 |
| Oct 16, 2025 | ₹1.42 | ₹1.56 | ₹1.42 | ₹1.56 | 3 346 354 |
| Oct 15, 2025 | ₹1.49 | ₹1.49 | ₹1.49 | ₹1.49 | 181 871 |
| Oct 14, 2025 | ₹1.56 | ₹1.56 | ₹1.56 | ₹1.56 | 46 359 |
| Oct 13, 2025 | ₹1.73 | ₹1.73 | ₹1.64 | ₹1.64 | 1 077 543 |
| Oct 10, 2025 | ₹1.72 | ₹1.72 | ₹1.72 | ₹1.72 | 5 082 504 |
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 EXCEL.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the EXCEL.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 EXCEL.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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