XBOM:INFIBEAM
Infibeam Avenues Limited Stock Price (Quote)
₹32.08
-0.350 (-1.08%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹30.50 | ₹36.25 | Tuesday, 21st May 2024 INFIBEAM.BO stock ended at ₹32.08. This is 1.08% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 2.32% from a day low at ₹31.96 to a day high of ₹32.70. |
90 days | ₹30.50 | ₹42.50 | |
52 weeks | ₹13.70 | ₹42.50 |
Date | Open | High | Low | Close | Volume |
May 21, 2024 | ₹32.51 | ₹32.70 | ₹31.96 | ₹32.08 | 1 217 441 |
May 17, 2024 | ₹32.97 | ₹32.97 | ₹32.27 | ₹32.43 | 1 423 167 |
May 16, 2024 | ₹32.79 | ₹32.85 | ₹31.87 | ₹32.66 | 2 746 902 |
May 15, 2024 | ₹32.60 | ₹33.21 | ₹32.05 | ₹32.37 | 2 189 270 |
May 14, 2024 | ₹31.88 | ₹32.65 | ₹31.66 | ₹32.45 | 2 501 665 |
May 13, 2024 | ₹32.05 | ₹32.20 | ₹30.90 | ₹31.89 | 1 969 857 |
May 10, 2024 | ₹31.90 | ₹32.18 | ₹30.50 | ₹32.02 | 2 710 381 |
May 09, 2024 | ₹32.41 | ₹32.88 | ₹31.10 | ₹31.28 | 2 003 598 |
May 08, 2024 | ₹32.51 | ₹33.10 | ₹32.12 | ₹32.33 | 2 193 918 |
May 07, 2024 | ₹33.00 | ₹33.07 | ₹31.91 | ₹32.59 | 4 128 261 |
May 06, 2024 | ₹34.10 | ₹34.29 | ₹32.83 | ₹33.08 | 3 460 038 |
May 03, 2024 | ₹34.26 | ₹34.50 | ₹33.67 | ₹33.95 | 2 467 768 |
May 02, 2024 | ₹34.01 | ₹34.46 | ₹33.65 | ₹33.97 | 3 375 449 |
Apr 30, 2024 | ₹35.07 | ₹35.14 | ₹33.90 | ₹34.06 | 1 559 075 |
Apr 29, 2024 | ₹35.06 | ₹35.54 | ₹34.75 | ₹34.96 | 2 182 780 |
Apr 26, 2024 | ₹35.34 | ₹35.46 | ₹34.93 | ₹35.01 | 2 330 912 |
Apr 25, 2024 | ₹35.32 | ₹35.84 | ₹35.12 | ₹35.24 | 1 692 338 |
Apr 24, 2024 | ₹35.34 | ₹36.25 | ₹34.93 | ₹35.51 | 4 942 336 |
Apr 23, 2024 | ₹34.91 | ₹35.43 | ₹34.55 | ₹35.16 | 2 711 567 |
Apr 22, 2024 | ₹33.60 | ₹34.95 | ₹33.60 | ₹34.74 | 4 978 188 |
Apr 19, 2024 | ₹33.60 | ₹33.85 | ₹32.92 | ₹33.55 | 4 287 076 |
Apr 18, 2024 | ₹34.91 | ₹34.99 | ₹33.75 | ₹33.85 | 3 496 084 |
Apr 16, 2024 | ₹33.81 | ₹35.06 | ₹33.73 | ₹34.41 | 1 623 320 |
Apr 15, 2024 | ₹33.61 | ₹34.80 | ₹33.25 | ₹34.32 | 3 471 547 |
Apr 12, 2024 | ₹36.20 | ₹36.65 | ₹35.22 | ₹35.52 | 2 374 747 |
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 INFIBEAM.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the INFIBEAM.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 INFIBEAM.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.