₹294.72
-4.09 (-1.37%)
At Close: Jul 30, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹230.21 | ₹302.32 | Thursday, 30th Jul 2026 BLSE.NS stock ended at ₹294.72. This is 1.37% less than the trading day before Wednesday, 29th Jul 2026. During the day the stock fluctuated 2.37% from a day low at ₹293.81 to a day high of ₹300.76. |
| 90 days | ₹185.15 | ₹302.32 | |
| 52 weeks | ₹124.30 | ₹302.32 |
Historical Bls E-services Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 30, 2026 | ₹297.70 | ₹300.76 | ₹293.81 | ₹294.72 | 585 816 |
| Jul 29, 2026 | ₹284.10 | ₹302.32 | ₹280.41 | ₹298.81 | 1 209 001 |
| Jul 28, 2026 | ₹286.10 | ₹287.29 | ₹280.24 | ₹282.63 | 370 322 |
| Jul 27, 2026 | ₹286.00 | ₹293.00 | ₹282.41 | ₹288.32 | 1 807 981 |
| Jul 24, 2026 | ₹263.00 | ₹287.70 | ₹260.01 | ₹282.32 | 4 955 621 |
| Jul 23, 2026 | ₹259.75 | ₹270.89 | ₹254.05 | ₹263.47 | 1 400 099 |
| Jul 22, 2026 | ₹268.50 | ₹272.70 | ₹258.15 | ₹260.09 | 209 984 |
| Jul 21, 2026 | ₹274.80 | ₹274.80 | ₹263.62 | ₹268.45 | 541 467 |
| Jul 20, 2026 | ₹275.00 | ₹277.00 | ₹271.27 | ₹272.86 | 351 670 |
| Jul 17, 2026 | ₹271.00 | ₹278.59 | ₹267.00 | ₹274.37 | 1 078 997 |
| Jul 16, 2026 | ₹274.00 | ₹274.18 | ₹263.01 | ₹269.36 | 723 493 |
| Jul 15, 2026 | ₹272.64 | ₹277.30 | ₹267.37 | ₹274.37 | 999 482 |
| Jul 14, 2026 | ₹264.90 | ₹278.99 | ₹263.05 | ₹271.29 | 1 627 142 |
| Jul 13, 2026 | ₹263.90 | ₹269.80 | ₹259.03 | ₹265.57 | 357 969 |
| Jul 10, 2026 | ₹261.90 | ₹265.29 | ₹260.21 | ₹263.25 | 321 792 |
| Jul 09, 2026 | ₹262.95 | ₹267.80 | ₹258.26 | ₹261.35 | 303 606 |
| Jul 08, 2026 | ₹266.30 | ₹270.25 | ₹257.41 | ₹261.40 | 682 702 |
| Jul 07, 2026 | ₹269.40 | ₹274.45 | ₹263.00 | ₹267.13 | 1 177 726 |
| Jul 06, 2026 | ₹269.00 | ₹285.90 | ₹266.25 | ₹268.73 | 3 655 417 |
| Jul 03, 2026 | ₹253.80 | ₹274.00 | ₹252.00 | ₹265.11 | 9 309 035 |
| Jul 02, 2026 | ₹257.00 | ₹258.00 | ₹250.00 | ₹252.66 | 958 527 |
| Jul 01, 2026 | ₹232.00 | ₹259.70 | ₹231.52 | ₹255.42 | 3 551 896 |
| Jun 30, 2026 | ₹234.70 | ₹237.00 | ₹230.21 | ₹233.25 | 193 462 |
| Jun 29, 2026 | ₹225.00 | ₹234.99 | ₹223.56 | ₹232.88 | 735 959 |
| Jun 25, 2026 | ₹226.99 | ₹227.73 | ₹225.00 | ₹225.26 | 345 278 |
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 BLSE.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the BLSE.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 BLSE.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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