₹284.86
-11.05 (-3.73%)
At Close: Jul 31, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹238.51 | ₹298.85 | Friday, 31st Jul 2026 SWIGGY.NS stock ended at ₹284.86. This is 3.73% less than the trading day before Thursday, 30th Jul 2026. During the day the stock fluctuated 5.14% from a day low at ₹280.20 to a day high of ₹294.59. |
| 90 days | ₹235.75 | ₹298.85 | |
| 52 weeks | ₹235.75 | ₹474.00 |
Historical Swiggy Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 31, 2026 | ₹290.00 | ₹294.59 | ₹280.20 | ₹284.86 | 46 811 918 |
| Jul 30, 2026 | ₹285.99 | ₹298.85 | ₹281.23 | ₹295.91 | 42 218 496 |
| Jul 29, 2026 | ₹272.00 | ₹290.88 | ₹271.99 | ₹287.34 | 73 287 154 |
| Jul 28, 2026 | ₹257.90 | ₹273.00 | ₹256.35 | ₹268.47 | 35 649 183 |
| Jul 27, 2026 | ₹254.24 | ₹264.50 | ₹252.96 | ₹257.98 | 23 901 813 |
| Jul 24, 2026 | ₹259.27 | ₹259.27 | ₹242.51 | ₹251.42 | 34 375 508 |
| Jul 23, 2026 | ₹263.85 | ₹268.19 | ₹260.94 | ₹261.55 | 7 056 745 |
| Jul 22, 2026 | ₹269.74 | ₹271.89 | ₹261.00 | ₹263.85 | 7 617 688 |
| Jul 21, 2026 | ₹270.54 | ₹272.66 | ₹268.65 | ₹270.23 | 5 056 748 |
| Jul 20, 2026 | ₹275.99 | ₹276.28 | ₹270.00 | ₹270.53 | 9 204 533 |
| Jul 17, 2026 | ₹273.89 | ₹281.00 | ₹267.20 | ₹276.87 | 18 195 931 |
| Jul 16, 2026 | ₹272.00 | ₹283.50 | ₹271.00 | ₹272.96 | 34 354 172 |
| Jul 15, 2026 | ₹259.05 | ₹271.50 | ₹257.24 | ₹270.09 | 26 121 351 |
| Jul 14, 2026 | ₹266.33 | ₹266.33 | ₹257.88 | ₹258.80 | 11 709 047 |
| Jul 13, 2026 | ₹269.99 | ₹272.78 | ₹266.13 | ₹266.77 | 17 565 238 |
| Jul 10, 2026 | ₹284.60 | ₹284.68 | ₹271.15 | ₹273.25 | 24 089 869 |
| Jul 09, 2026 | ₹262.00 | ₹282.41 | ₹262.00 | ₹280.95 | 55 993 942 |
| Jul 08, 2026 | ₹265.00 | ₹270.33 | ₹259.01 | ₹261.41 | 36 471 895 |
| Jul 07, 2026 | ₹250.05 | ₹267.35 | ₹249.99 | ₹266.27 | 32 930 544 |
| Jul 06, 2026 | ₹249.40 | ₹250.31 | ₹244.67 | ₹250.00 | 7 914 848 |
| Jul 03, 2026 | ₹250.90 | ₹254.43 | ₹247.41 | ₹248.27 | 10 036 375 |
| Jul 02, 2026 | ₹248.52 | ₹253.30 | ₹248.05 | ₹249.00 | 10 728 544 |
| Jul 01, 2026 | ₹240.00 | ₹248.94 | ₹238.51 | ₹246.98 | 10 224 826 |
| Jun 30, 2026 | ₹240.00 | ₹241.75 | ₹235.75 | ₹239.35 | 12 855 449 |
| Jun 29, 2026 | ₹240.75 | ₹241.25 | ₹236.50 | ₹238.75 | 7 355 200 |
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 SWIGGY.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the SWIGGY.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 SWIGGY.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.
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