₹332.50
-14.55 (-4.19%)
At Close: Jul 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹330.50 | ₹392.00 | Friday, 3rd Jul 2026 ASIANENE.NS stock ended at ₹332.50. This is 4.19% less than the trading day before Thursday, 2nd Jul 2026. During the day the stock fluctuated 6.40% from a day low at ₹330.50 to a day high of ₹351.65. |
| 90 days | ₹251.61 | ₹392.00 | |
| 52 weeks | ₹230.00 | ₹392.00 |
Historical Asian Energy Services Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 03, 2026 | ₹347.10 | ₹351.65 | ₹330.50 | ₹332.50 | 274 790 |
| Jul 02, 2026 | ₹347.05 | ₹352.40 | ₹343.30 | ₹347.05 | 189 225 |
| Jul 01, 2026 | ₹356.00 | ₹361.00 | ₹347.20 | ₹350.40 | 110 022 |
| Jun 30, 2026 | ₹368.50 | ₹368.50 | ₹357.10 | ₹358.65 | 155 990 |
| Jun 29, 2026 | ₹374.00 | ₹374.00 | ₹362.10 | ₹365.65 | 127 426 |
| Jun 25, 2026 | ₹375.00 | ₹376.45 | ₹364.10 | ₹368.30 | 137 102 |
| Jun 24, 2026 | ₹374.35 | ₹378.80 | ₹365.30 | ₹371.65 | 235 688 |
| Jun 23, 2026 | ₹378.70 | ₹384.90 | ₹368.20 | ₹374.35 | 417 444 |
| Jun 22, 2026 | ₹372.55 | ₹386.45 | ₹366.10 | ₹374.30 | 687 594 |
| Jun 19, 2026 | ₹356.30 | ₹376.75 | ₹353.00 | ₹367.25 | 510 727 |
| Jun 18, 2026 | ₹356.00 | ₹359.70 | ₹351.85 | ₹354.55 | 161 362 |
| Jun 17, 2026 | ₹352.50 | ₹360.75 | ₹346.20 | ₹351.85 | 257 276 |
| Jun 16, 2026 | ₹364.70 | ₹367.90 | ₹349.10 | ₹352.10 | 341 715 |
| Jun 15, 2026 | ₹368.00 | ₹373.85 | ₹361.50 | ₹363.45 | 340 735 |
| Jun 12, 2026 | ₹366.00 | ₹371.90 | ₹362.85 | ₹366.20 | 187 537 |
| Jun 11, 2026 | ₹370.00 | ₹372.65 | ₹352.80 | ₹362.00 | 295 926 |
| Jun 10, 2026 | ₹387.40 | ₹387.40 | ₹365.30 | ₹368.00 | 297 701 |
| Jun 09, 2026 | ₹381.85 | ₹392.00 | ₹377.15 | ₹383.80 | 571 728 |
| Jun 08, 2026 | ₹384.00 | ₹387.55 | ₹371.05 | ₹376.60 | 495 649 |
| Jun 05, 2026 | ₹368.00 | ₹385.00 | ₹364.60 | ₹382.10 | 578 476 |
| Jun 04, 2026 | ₹351.20 | ₹385.00 | ₹348.65 | ₹369.20 | 1 090 194 |
| Jun 03, 2026 | ₹348.95 | ₹355.75 | ₹336.05 | ₹352.70 | 249 427 |
| Jun 02, 2026 | ₹345.15 | ₹359.00 | ₹341.70 | ₹346.80 | 332 175 |
| Jun 01, 2026 | ₹369.65 | ₹382.70 | ₹341.25 | ₹350.95 | 1 095 902 |
| May 29, 2026 | ₹358.00 | ₹363.65 | ₹351.00 | ₹358.10 | 427 312 |
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 ASIANENE.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the ASIANENE.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 ASIANENE.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.
Sign In
Buy ASIANENE