₹215.63
+2.47 (+1.16%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹212.11 | ₹241.90 | Monday, 10th Aug 2026 EIEL.NS stock ended at ₹215.63. This is 1.16% more than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 2.51% from a day low at ₹212.65 to a day high of ₹217.98. |
| 90 days | ₹175.50 | ₹247.40 | |
| 52 weeks | ₹134.71 | ₹276.10 |
Historical Enviro Infra Engineers Ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | ₹214.08 | ₹217.98 | ₹212.65 | ₹215.63 | 667 922 |
| Aug 07, 2026 | ₹215.50 | ₹216.64 | ₹212.15 | ₹213.16 | 557 211 |
| Aug 06, 2026 | ₹218.00 | ₹219.95 | ₹214.56 | ₹215.50 | 644 107 |
| Aug 05, 2026 | ₹226.10 | ₹228.39 | ₹216.84 | ₹218.06 | 0 |
| Aug 04, 2026 | ₹222.64 | ₹228.84 | ₹222.64 | ₹224.48 | 0 |
| Aug 03, 2026 | ₹223.00 | ₹224.40 | ₹221.10 | ₹222.64 | 640 930 |
| Jul 31, 2026 | ₹213.61 | ₹223.99 | ₹213.01 | ₹220.06 | 1 457 845 |
| Jul 30, 2026 | ₹217.27 | ₹217.48 | ₹212.30 | ₹213.61 | 1 232 634 |
| Jul 29, 2026 | ₹216.49 | ₹219.90 | ₹215.20 | ₹216.07 | 474 213 |
| Jul 28, 2026 | ₹217.20 | ₹219.78 | ₹215.00 | ₹216.45 | 514 458 |
| Jul 27, 2026 | ₹223.90 | ₹224.94 | ₹217.49 | ₹218.76 | 645 274 |
| Jul 24, 2026 | ₹217.61 | ₹221.30 | ₹212.11 | ₹220.16 | 1 651 532 |
| Jul 23, 2026 | ₹222.55 | ₹225.75 | ₹216.10 | ₹217.62 | 1 007 994 |
| Jul 22, 2026 | ₹228.80 | ₹228.80 | ₹222.00 | ₹224.31 | 912 259 |
| Jul 21, 2026 | ₹229.00 | ₹233.49 | ₹225.78 | ₹229.46 | 1 503 864 |
| Jul 20, 2026 | ₹219.50 | ₹231.50 | ₹218.15 | ₹229.35 | 2 458 533 |
| Jul 17, 2026 | ₹225.34 | ₹225.85 | ₹218.53 | ₹220.23 | 1 883 085 |
| Jul 16, 2026 | ₹229.97 | ₹231.00 | ₹224.16 | ₹226.81 | 1 116 089 |
| Jul 15, 2026 | ₹229.00 | ₹233.60 | ₹227.05 | ₹228.24 | 1 562 684 |
| Jul 14, 2026 | ₹234.90 | ₹235.64 | ₹226.62 | ₹227.50 | 1 556 823 |
| Jul 13, 2026 | ₹241.90 | ₹241.90 | ₹235.10 | ₹235.89 | 2 315 540 |
| Jul 10, 2026 | ₹230.21 | ₹245.78 | ₹228.40 | ₹244.49 | 9 006 691 |
| Jul 09, 2026 | ₹227.00 | ₹233.50 | ₹226.14 | ₹228.39 | 1 743 935 |
| Jul 08, 2026 | ₹229.25 | ₹237.40 | ₹222.12 | ₹225.01 | 2 996 282 |
| Jul 07, 2026 | ₹242.00 | ₹242.63 | ₹227.36 | ₹231.49 | 2 742 844 |
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 EIEL.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the EIEL.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 EIEL.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.
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