Apollo Micro Systems Limited Stock Price (Quote)
₹106.95
+1.13 (+1.07%)
At Close: Jun 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹98.25 | ₹118.24 | Friday, 28th Jun 2024 APOLLO.NS stock ended at ₹106.95. This is 1.07% more than the trading day before Thursday, 27th Jun 2024. During the day the stock fluctuated 1.73% from a day low at ₹105.66 to a day high of ₹107.49. |
90 days | ₹96.65 | ₹118.50 | |
52 weeks | ₹45.20 | ₹161.70 |
Historical Apollo Micro Systems Limited prices
Date | Open | High | Low | Close | Volume |
Jun 28, 2024 | ₹106.70 | ₹107.49 | ₹105.66 | ₹106.95 | 680 816 |
Jun 27, 2024 | ₹106.90 | ₹109.47 | ₹105.00 | ₹105.82 | 1 327 875 |
Jun 26, 2024 | ₹108.80 | ₹109.40 | ₹106.50 | ₹106.73 | 958 908 |
Jun 25, 2024 | ₹110.65 | ₹111.80 | ₹107.80 | ₹108.69 | 910 577 |
Jun 24, 2024 | ₹112.00 | ₹113.95 | ₹109.06 | ₹109.69 | 1 671 461 |
Jun 21, 2024 | ₹117.00 | ₹118.24 | ₹110.50 | ₹112.18 | 2 866 415 |
Jun 20, 2024 | ₹112.87 | ₹115.65 | ₹110.30 | ₹115.61 | 5 663 633 |
Jun 19, 2024 | ₹111.00 | ₹114.33 | ₹109.00 | ₹110.15 | 4 430 445 |
Jun 18, 2024 | ₹105.95 | ₹108.89 | ₹105.26 | ₹108.89 | 4 582 108 |
Jun 14, 2024 | ₹103.60 | ₹107.11 | ₹103.40 | ₹103.71 | 4 099 810 |
Jun 13, 2024 | ₹104.01 | ₹104.85 | ₹102.84 | ₹102.97 | 1 871 964 |
Jun 12, 2024 | ₹104.16 | ₹105.90 | ₹102.11 | ₹102.95 | 1 748 408 |
Jun 11, 2024 | ₹106.20 | ₹107.12 | ₹103.92 | ₹104.09 | 1 609 344 |
Jun 10, 2024 | ₹109.00 | ₹109.00 | ₹104.50 | ₹105.02 | 691 529 |
Jun 07, 2024 | ₹108.15 | ₹109.65 | ₹106.50 | ₹107.00 | 967 962 |
Jun 06, 2024 | ₹103.15 | ₹107.10 | ₹103.00 | ₹105.85 | 1 009 611 |
Jun 05, 2024 | ₹98.25 | ₹103.70 | ₹98.25 | ₹102.00 | 1 589 617 |
Jun 04, 2024 | ₹108.85 | ₹109.00 | ₹103.40 | ₹103.40 | 594 231 |
Jun 03, 2024 | ₹111.60 | ₹111.60 | ₹108.00 | ₹108.85 | 776 051 |
May 31, 2024 | ₹107.20 | ₹108.90 | ₹105.00 | ₹106.45 | 582 983 |
May 30, 2024 | ₹106.90 | ₹108.00 | ₹106.15 | ₹106.55 | 404 209 |
May 29, 2024 | ₹106.55 | ₹108.80 | ₹105.00 | ₹106.80 | 494 058 |
May 28, 2024 | ₹112.00 | ₹112.45 | ₹108.10 | ₹108.95 | 489 040 |
May 27, 2024 | ₹112.50 | ₹114.05 | ₹110.90 | ₹111.30 | 960 830 |
May 24, 2024 | ₹111.15 | ₹112.40 | ₹110.15 | ₹110.90 | 806 248 |
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 APOLLO.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the APOLLO.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 APOLLO.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.