XBOM:GIANLIFE

Gian Life Care Stock Price (Quote)

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₹12.28
-0.640 (-4.95%)
At Close: Nov 18, 2025

Range Low Price High Price Comment
30 days ₹11.59 ₹13.44 Tuesday, 18th Nov 2025 GIANLIFE.BO stock ended at ₹12.28. This is 4.95% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 2.52% from a day low at ₹12.28 to a day high of ₹12.59.
90 days ₹11.59 ₹16.79
52 weeks ₹11.59 ₹21.45

Historical Gian Life Care Limited prices

Date Open High Low Close Volume
Nov 18, 2025 ₹12.32 ₹12.59 ₹12.28 ₹12.28 11 521
Nov 17, 2025 ₹13.07 ₹13.07 ₹12.31 ₹12.92 4 969
Nov 14, 2025 ₹13.20 ₹13.20 ₹12.17 ₹12.95 1 449
Nov 13, 2025 ₹13.20 ₹13.20 ₹12.25 ₹12.83 1 841
Nov 12, 2025 ₹13.23 ₹13.23 ₹12.55 ₹12.70 2 337
Nov 11, 2025 ₹13.14 ₹13.14 ₹12.98 ₹12.98 1 139
Nov 10, 2025 ₹12.63 ₹12.63 ₹11.82 ₹12.53 4 321
Nov 07, 2025 ₹11.83 ₹12.47 ₹11.59 ₹12.38 4 848
Nov 06, 2025 ₹12.48 ₹12.48 ₹12.00 ₹12.07 789
Nov 04, 2025 ₹12.48 ₹12.74 ₹11.71 ₹12.16 6 072
Nov 03, 2025 ₹12.41 ₹12.41 ₹11.95 ₹12.20 3 251
Oct 31, 2025 ₹12.23 ₹12.41 ₹12.20 ₹12.41 2 907
Oct 30, 2025 ₹12.68 ₹12.68 ₹12.05 ₹12.48 60
Oct 29, 2025 ₹12.83 ₹12.83 ₹12.06 ₹12.56 16 014
Oct 28, 2025 ₹12.88 ₹12.88 ₹12.16 ₹12.63 17 771
Oct 27, 2025 ₹12.94 ₹12.94 ₹12.20 ₹12.79 1 834
Oct 24, 2025 ₹12.38 ₹12.68 ₹12.00 ₹12.68 27 332
Oct 23, 2025 ₹12.50 ₹12.64 ₹12.15 ₹12.63 1 364
Oct 20, 2025 ₹13.44 ₹13.44 ₹12.60 ₹12.68 598
Oct 17, 2025 ₹13.67 ₹13.67 ₹12.99 ₹12.99 897
Oct 16, 2025 ₹13.50 ₹13.50 ₹12.61 ₹13.24 14 932
Oct 15, 2025 ₹13.98 ₹13.98 ₹13.11 ₹13.27 12 433
Oct 14, 2025 ₹13.93 ₹13.93 ₹13.05 ₹13.80 5 923
Oct 13, 2025 ₹13.59 ₹13.59 ₹13.01 ₹13.38 15 495
Oct 10, 2025 ₹14.14 ₹14.14 ₹12.95 ₹12.95 20 075

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 GIANLIFE.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the GIANLIFE.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 GIANLIFE.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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