AXISCADES Engineering Technologies Ltd Stock Price (Quote)
₹582.35
-17.15 (-2.86%)
At Close: Jun 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹432.55 | ₹626.00 | Thursday, 20th Jun 2024 AXISCADES.NS stock ended at ₹582.35. This is 2.86% less than the trading day before Wednesday, 19th Jun 2024. During the day the stock fluctuated 5.59% from a day low at ₹574.80 to a day high of ₹606.95. |
90 days | ₹432.55 | ₹684.85 | |
52 weeks | ₹405.75 | ₹850.00 |
Historical AXISCADES Engineering Technologies Limited prices
Date | Open | High | Low | Close | Volume |
Jun 20, 2024 | ₹599.90 | ₹606.95 | ₹574.80 | ₹582.35 | 289 507 |
Jun 19, 2024 | ₹622.20 | ₹622.70 | ₹582.20 | ₹599.50 | 895 132 |
Jun 18, 2024 | ₹533.40 | ₹626.00 | ₹532.00 | ₹617.55 | 2 287 937 |
Jun 14, 2024 | ₹480.00 | ₹538.90 | ₹479.45 | ₹527.35 | 1 004 387 |
Jun 13, 2024 | ₹484.95 | ₹496.20 | ₹475.05 | ₹479.15 | 287 018 |
Jun 12, 2024 | ₹498.00 | ₹504.30 | ₹477.00 | ₹478.90 | 350 896 |
Jun 11, 2024 | ₹508.50 | ₹510.00 | ₹485.75 | ₹495.40 | 352 988 |
Jun 10, 2024 | ₹489.00 | ₹534.00 | ₹489.00 | ₹496.60 | 567 173 |
Jun 07, 2024 | ₹470.40 | ₹484.50 | ₹463.55 | ₹478.65 | 164 567 |
Jun 06, 2024 | ₹465.30 | ₹494.55 | ₹463.80 | ₹467.15 | 171 948 |
Jun 05, 2024 | ₹476.20 | ₹476.20 | ₹432.55 | ₹458.00 | 328 750 |
Jun 04, 2024 | ₹504.50 | ₹508.00 | ₹440.45 | ₹450.05 | 334 700 |
Jun 03, 2024 | ₹514.00 | ₹530.00 | ₹495.00 | ₹500.50 | 467 659 |
May 31, 2024 | ₹491.95 | ₹494.40 | ₹474.20 | ₹476.40 | 132 473 |
May 30, 2024 | ₹504.45 | ₹508.80 | ₹484.20 | ₹487.15 | 109 115 |
May 29, 2024 | ₹510.00 | ₹518.75 | ₹499.40 | ₹502.20 | 168 463 |
May 28, 2024 | ₹517.00 | ₹538.85 | ₹507.15 | ₹512.15 | 315 977 |
May 27, 2024 | ₹527.70 | ₹527.70 | ₹502.55 | ₹506.15 | 366 401 |
May 24, 2024 | ₹525.65 | ₹525.65 | ₹509.00 | ₹511.70 | 179 131 |
May 23, 2024 | ₹507.00 | ₹530.00 | ₹507.00 | ₹520.70 | 492 310 |
May 22, 2024 | ₹539.85 | ₹545.00 | ₹501.00 | ₹505.05 | 333 015 |
May 21, 2024 | ₹605.00 | ₹605.00 | ₹537.45 | ₹539.85 | 414 978 |
May 20, 2024 | ₹602.15 | ₹602.15 | ₹602.15 | ₹602.15 | 0 |
May 17, 2024 | ₹607.10 | ₹615.00 | ₹599.00 | ₹602.15 | 38 743 |
May 16, 2024 | ₹610.05 | ₹620.00 | ₹599.55 | ₹603.75 | 36 976 |
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 AXISCADES.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the AXISCADES.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 AXISCADES.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.