NYSE:INFY
Infosys Limited Stock Price (Quote)
$17.13
+0 (+0%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $16.63 | $17.39 | Monday, 20th May 2024 INFY stock ended at $17.13. During the day the stock fluctuated 0.672% from a day low at $17.11 to a day high of $17.22. |
90 days | $16.04 | $20.40 | |
52 weeks | $15.12 | $20.74 |
Date | Open | High | Low | Close | Volume |
May 20, 2024 | $17.16 | $17.22 | $17.11 | $17.13 | 6 096 006 |
May 17, 2024 | $17.15 | $17.17 | $17.02 | $17.13 | 7 893 768 |
May 16, 2024 | $17.21 | $17.29 | $17.15 | $17.24 | 10 654 466 |
May 15, 2024 | $17.02 | $17.13 | $16.86 | $17.05 | 4 001 492 |
May 14, 2024 | $17.00 | $17.00 | $16.87 | $16.95 | 9 394 555 |
May 13, 2024 | $16.94 | $17.04 | $16.89 | $16.92 | 5 912 274 |
May 10, 2024 | $16.94 | $16.96 | $16.79 | $16.87 | 10 259 755 |
May 09, 2024 | $17.04 | $17.06 | $16.89 | $16.97 | 12 265 402 |
May 08, 2024 | $16.99 | $17.14 | $16.90 | $17.09 | 4 718 441 |
May 07, 2024 | $17.06 | $17.19 | $16.99 | $17.13 | 7 737 276 |
May 06, 2024 | $17.00 | $17.04 | $16.95 | $16.97 | 4 167 810 |
May 03, 2024 | $16.92 | $16.99 | $16.88 | $16.93 | 3 988 457 |
May 02, 2024 | $16.85 | $16.91 | $16.63 | $16.87 | 8 647 085 |
May 01, 2024 | $16.72 | $16.89 | $16.68 | $16.77 | 6 086 356 |
Apr 30, 2024 | $16.93 | $16.96 | $16.71 | $16.71 | 11 234 366 |
Apr 29, 2024 | $16.95 | $17.09 | $16.93 | $16.97 | 7 381 535 |
Apr 26, 2024 | $17.11 | $17.13 | $16.88 | $16.94 | 8 727 023 |
Apr 25, 2024 | $17.02 | $17.10 | $16.83 | $17.01 | 7 888 691 |
Apr 24, 2024 | $17.16 | $17.23 | $16.93 | $17.04 | 10 147 155 |
Apr 23, 2024 | $17.30 | $17.37 | $17.13 | $17.16 | 8 146 405 |
Apr 22, 2024 | $17.05 | $17.39 | $16.96 | $17.30 | 19 933 159 |
Apr 19, 2024 | $16.76 | $16.96 | $16.68 | $16.81 | 15 130 809 |
Apr 18, 2024 | $16.26 | $16.90 | $16.04 | $16.51 | 30 443 961 |
Apr 17, 2024 | $17.14 | $17.18 | $16.87 | $16.95 | 16 568 912 |
Apr 16, 2024 | $16.98 | $17.19 | $16.98 | $17.05 | 11 857 023 |
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 INFY stock historical prices to predict future price movements?
Trend Analysis: Examine the INFY 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 INFY 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.