Astra Microwave Products Limited Stock Price (Quote)
₹865.75
+13.25 (+1.55%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹632.10 | ₹914.65 | Friday, 31st May 2024 ASTRAMICRO.NS stock ended at ₹865.75. This is 1.55% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.89% from a day low at ₹837.15 to a day high of ₹869.70. |
90 days | ₹510.10 | ₹914.65 | |
52 weeks | ₹341.55 | ₹914.65 |
Historical Astra Microwave Products Limited prices
Date | Open | High | Low | Close | Volume |
Jan 08, 2024 | ₹609.35 | ₹617.25 | ₹597.30 | ₹601.85 | 325 080 |
Jan 05, 2024 | ₹603.50 | ₹609.40 | ₹599.10 | ₹606.60 | 218 542 |
Jan 04, 2024 | ₹592.50 | ₹606.35 | ₹592.05 | ₹599.05 | 268 925 |
Jan 03, 2024 | ₹600.00 | ₹604.85 | ₹588.10 | ₹589.80 | 275 780 |
Jan 02, 2024 | ₹605.10 | ₹610.80 | ₹590.50 | ₹599.05 | 297 008 |
Jan 01, 2024 | ₹603.90 | ₹616.95 | ₹603.20 | ₹605.10 | 218 450 |
Dec 29, 2023 | ₹615.00 | ₹618.45 | ₹600.20 | ₹603.10 | 224 321 |
Dec 28, 2023 | ₹609.95 | ₹617.80 | ₹606.10 | ₹608.70 | 210 992 |
Dec 27, 2023 | ₹615.00 | ₹615.00 | ₹601.10 | ₹607.05 | 199 287 |
Dec 26, 2023 | ₹614.00 | ₹623.40 | ₹609.50 | ₹613.95 | 285 067 |
Dec 22, 2023 | ₹611.00 | ₹624.00 | ₹605.00 | ₹608.50 | 260 705 |
Dec 21, 2023 | ₹589.00 | ₹613.00 | ₹585.70 | ₹609.95 | 266 208 |
Dec 20, 2023 | ₹629.90 | ₹631.50 | ₹588.00 | ₹597.10 | 625 126 |
Dec 19, 2023 | ₹608.00 | ₹627.10 | ₹596.95 | ₹622.35 | 728 881 |
Dec 18, 2023 | ₹608.90 | ₹614.95 | ₹602.00 | ₹604.30 | 199 620 |
Dec 15, 2023 | ₹609.40 | ₹611.95 | ₹603.85 | ₹605.85 | 114 514 |
Dec 14, 2023 | ₹619.00 | ₹619.00 | ₹604.00 | ₹606.75 | 248 732 |
Dec 13, 2023 | ₹604.80 | ₹618.00 | ₹603.20 | ₹613.20 | 287 342 |
Dec 12, 2023 | ₹604.45 | ₹614.90 | ₹602.90 | ₹604.90 | 299 139 |
Dec 11, 2023 | ₹609.85 | ₹612.25 | ₹599.05 | ₹602.05 | 243 000 |
Dec 08, 2023 | ₹609.80 | ₹619.30 | ₹601.75 | ₹607.80 | 381 689 |
Dec 07, 2023 | ₹618.00 | ₹619.90 | ₹604.00 | ₹609.00 | 295 894 |
Dec 06, 2023 | ₹610.10 | ₹621.95 | ₹602.70 | ₹617.30 | 430 667 |
Dec 05, 2023 | ₹620.00 | ₹620.45 | ₹595.00 | ₹608.25 | 498 339 |
Dec 04, 2023 | ₹590.00 | ₹623.80 | ₹584.20 | ₹611.35 | 1 391 534 |
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 ASTRAMICRO.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the ASTRAMICRO.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 ASTRAMICRO.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.