NSE:IDEA
Vodafone Idea Limited Stock Price (Quote)
₹15.25
+0.650 (+4.45%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹12.10 | ₹15.70 | Friday, 31st May 2024 IDEA.NS stock ended at ₹15.25. This is 4.45% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 5.46% from a day low at ₹14.65 to a day high of ₹15.45. |
90 days | ₹11.75 | ₹15.70 | |
52 weeks | ₹7.00 | ₹18.40 |
Historical Vodafone Idea Limited prices
Date | Open | High | Low | Close | Volume |
Oct 25, 2023 | ₹11.00 | ₹11.20 | ₹10.60 | ₹10.85 | 257 858 837 |
Oct 23, 2023 | ₹11.80 | ₹11.90 | ₹10.85 | ₹10.95 | 228 590 207 |
Oct 20, 2023 | ₹12.00 | ₹12.10 | ₹11.65 | ₹11.75 | 150 565 987 |
Oct 19, 2023 | ₹11.60 | ₹12.10 | ₹11.55 | ₹12.00 | 241 810 162 |
Oct 18, 2023 | ₹11.95 | ₹12.05 | ₹11.55 | ₹11.70 | 148 348 305 |
Oct 17, 2023 | ₹11.85 | ₹12.20 | ₹11.80 | ₹11.90 | 241 082 480 |
Oct 16, 2023 | ₹12.10 | ₹12.10 | ₹11.70 | ₹11.80 | 196 174 377 |
Oct 13, 2023 | ₹11.80 | ₹12.35 | ₹11.75 | ₹12.00 | 364 294 417 |
Oct 12, 2023 | ₹11.90 | ₹12.15 | ₹11.55 | ₹11.90 | 235 588 248 |
Oct 11, 2023 | ₹11.20 | ₹12.00 | ₹11.15 | ₹11.85 | 378 169 230 |
Oct 10, 2023 | ₹11.00 | ₹11.20 | ₹10.90 | ₹11.05 | 92 915 095 |
Oct 09, 2023 | ₹10.70 | ₹11.40 | ₹10.55 | ₹10.90 | 388 162 717 |
Oct 06, 2023 | ₹11.20 | ₹11.30 | ₹10.85 | ₹10.95 | 122 125 194 |
Oct 05, 2023 | ₹11.55 | ₹11.60 | ₹11.05 | ₹11.20 | 164 908 033 |
Oct 04, 2023 | ₹11.95 | ₹11.95 | ₹11.30 | ₹11.45 | 197 580 759 |
Oct 03, 2023 | ₹11.75 | ₹12.05 | ₹11.40 | ₹12.00 | 271 806 000 |
Sep 29, 2023 | ₹11.75 | ₹12.10 | ₹11.60 | ₹11.65 | 184 008 093 |
Sep 28, 2023 | ₹11.95 | ₹12.10 | ₹11.50 | ₹11.65 | 286 859 100 |
Sep 27, 2023 | ₹12.15 | ₹12.45 | ₹11.85 | ₹12.00 | 354 380 384 |
Sep 26, 2023 | ₹11.40 | ₹12.20 | ₹11.30 | ₹12.10 | 506 737 529 |
Sep 25, 2023 | ₹11.35 | ₹11.50 | ₹11.05 | ₹11.30 | 162 498 893 |
Sep 22, 2023 | ₹10.90 | ₹11.65 | ₹10.65 | ₹11.30 | 298 112 561 |
Sep 21, 2023 | ₹10.95 | ₹11.20 | ₹10.60 | ₹10.85 | 177 823 721 |
Sep 20, 2023 | ₹10.95 | ₹11.40 | ₹10.85 | ₹11.00 | 164 487 454 |
Sep 18, 2023 | ₹12.50 | ₹12.50 | ₹10.80 | ₹10.90 | 449 336 113 |
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 IDEA.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the IDEA.NS 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 IDEA.NS 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.