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Range Low Price High Price Comment
30 days ₹8.73 ₹10.20 Friday, 17th May 2024 INTELSOFT.BO stock ended at ₹8.86. During the day the stock fluctuated 0% from a day low at ₹8.86 to a day high of ₹8.86.
90 days ₹8.01 ₹10.79
52 weeks ₹8.01 ₹12.74

Historical Integra Telecommunication & Software Limited prices

Date Open High Low Close Volume
Jul 21, 2023 ₹11.41 ₹11.66 ₹10.53 ₹11.20 44 987
Jul 20, 2023 ₹11.98 ₹11.98 ₹11.40 ₹11.51 29 061
Jul 19, 2023 ₹12.50 ₹12.50 ₹11.44 ₹11.85 27 042
Jul 18, 2023 ₹11.46 ₹11.86 ₹11.40 ₹11.42 12 273
Jul 17, 2023 ₹11.99 ₹11.99 ₹11.40 ₹11.66 21 187
Jul 14, 2023 ₹11.50 ₹11.94 ₹11.50 ₹11.56 8 478
Jul 13, 2023 ₹11.51 ₹11.93 ₹11.51 ₹11.60 5 598
Jul 12, 2023 ₹12.07 ₹12.07 ₹11.50 ₹11.63 8 889
Jul 11, 2023 ₹11.63 ₹12.10 ₹11.52 ₹11.93 30 541
Jul 10, 2023 ₹12.14 ₹12.14 ₹11.60 ₹11.70 23 569
Jul 07, 2023 ₹12.19 ₹12.19 ₹11.73 ₹11.90 13 364
Jul 06, 2023 ₹11.90 ₹12.20 ₹11.70 ₹11.72 14 440
Jul 05, 2023 ₹12.55 ₹12.55 ₹11.55 ₹11.92 19 630
Jul 04, 2023 ₹11.52 ₹12.70 ₹11.52 ₹11.63 16 935
Jul 03, 2023 ₹11.61 ₹11.78 ₹11.50 ₹11.67 26 793
Jun 30, 2023 ₹12.41 ₹12.41 ₹11.50 ₹11.72 21 101
Jun 29, 2023 ₹11.85 ₹11.85 ₹11.85 ₹11.85 0
Jun 28, 2023 ₹11.99 ₹11.99 ₹11.50 ₹11.87 14 523
Jun 27, 2023 ₹11.80 ₹11.98 ₹11.70 ₹11.85 12 113
Jun 26, 2023 ₹11.75 ₹12.18 ₹11.75 ₹11.84 15 909
Jun 23, 2023 ₹12.27 ₹12.28 ₹11.75 ₹11.97 10 138
Jun 22, 2023 ₹11.87 ₹12.50 ₹11.86 ₹11.93 20 560
Jun 21, 2023 ₹12.22 ₹12.25 ₹11.83 ₹12.16 18 660
Jun 20, 2023 ₹12.00 ₹12.20 ₹11.80 ₹12.07 20 787
Jun 19, 2023 ₹12.00 ₹12.25 ₹11.90 ₹12.19 15 630

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.

How can I use INTELSOFT.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the INTELSOFT.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.

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.

Why do the INTELSOFT.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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