Aegis Logistics Ltd Stock Price (Quote)
₹791.15
+0 (+0%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹587.00 | ₹833.00 | Friday, 14th Jun 2024 AEGISCHEM.NS stock ended at ₹791.15. During the day the stock fluctuated 0% from a day low at ₹791.15 to a day high of ₹791.15. |
90 days | ₹383.00 | ₹833.00 | |
52 weeks | ₹280.00 | ₹833.00 |
Historical Aegis Logistics Ltd prices
Date | Open | High | Low | Close | Volume |
Oct 03, 2023 | ₹329.35 | ₹331.70 | ₹328.05 | ₹328.95 | 182 262 |
Sep 29, 2023 | ₹335.00 | ₹335.15 | ₹328.30 | ₹329.40 | 361 883 |
Sep 28, 2023 | ₹326.95 | ₹337.80 | ₹325.95 | ₹332.70 | 626 989 |
Sep 27, 2023 | ₹324.95 | ₹330.05 | ₹323.35 | ₹326.10 | 625 101 |
Sep 26, 2023 | ₹326.95 | ₹327.80 | ₹323.30 | ₹324.00 | 257 963 |
Sep 25, 2023 | ₹332.30 | ₹334.45 | ₹323.75 | ₹324.55 | 321 069 |
Sep 22, 2023 | ₹332.90 | ₹337.40 | ₹330.30 | ₹331.65 | 168 254 |
Sep 21, 2023 | ₹332.00 | ₹334.20 | ₹328.95 | ₹330.85 | 170 199 |
Sep 20, 2023 | ₹336.00 | ₹337.90 | ₹330.05 | ₹332.05 | 197 043 |
Sep 18, 2023 | ₹334.95 | ₹348.20 | ₹332.05 | ₹335.45 | 1 131 041 |
Sep 15, 2023 | ₹342.60 | ₹344.35 | ₹325.00 | ₹329.80 | 911 787 |
Sep 14, 2023 | ₹342.85 | ₹348.30 | ₹339.20 | ₹340.15 | 371 308 |
Sep 13, 2023 | ₹342.70 | ₹345.25 | ₹335.15 | ₹340.00 | 418 763 |
Sep 12, 2023 | ₹362.00 | ₹366.00 | ₹337.05 | ₹340.10 | 918 446 |
Sep 11, 2023 | ₹360.00 | ₹360.00 | ₹352.30 | ₹359.60 | 594 780 |
Sep 08, 2023 | ₹356.90 | ₹356.90 | ₹351.00 | ₹351.75 | 203 596 |
Sep 07, 2023 | ₹355.90 | ₹358.10 | ₹351.95 | ₹354.40 | 279 204 |
Sep 06, 2023 | ₹359.35 | ₹362.50 | ₹352.20 | ₹354.85 | 218 679 |
Sep 05, 2023 | ₹364.30 | ₹364.30 | ₹357.00 | ₹357.80 | 241 660 |
Sep 04, 2023 | ₹368.55 | ₹372.55 | ₹358.20 | ₹359.95 | 842 693 |
Sep 01, 2023 | ₹370.50 | ₹374.00 | ₹367.30 | ₹368.45 | 270 452 |
Aug 31, 2023 | ₹368.00 | ₹373.20 | ₹365.30 | ₹369.90 | 339 844 |
Aug 30, 2023 | ₹371.40 | ₹374.90 | ₹367.75 | ₹369.60 | 216 655 |
Aug 29, 2023 | ₹370.20 | ₹376.00 | ₹366.00 | ₹369.85 | 197 976 |
Aug 28, 2023 | ₹371.00 | ₹373.95 | ₹367.10 | ₹369.95 | 145 344 |
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 AEGISCHEM.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the AEGISCHEM.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 AEGISCHEM.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.