BEML Limited Stock Price (Quote)
₹4,014.25
+314.30 (+8.49%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹3,128.85 | ₹4,069.00 | Friday, 17th May 2024 BEML.NS stock ended at ₹4,014.25. This is 8.49% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 10.01% from a day low at ₹3,698.65 to a day high of ₹4,069.00. |
90 days | ₹2,671.90 | ₹4,069.00 | |
52 weeks | ₹1,398.20 | ₹4,144.25 |
Date | Open | High | Low | Close | Volume |
Oct 17, 2018 | ₹633.00 | ₹639.20 | ₹580.55 | ₹588.55 | 1 192 210 |
Oct 16, 2018 | ₹626.10 | ₹634.00 | ₹622.00 | ₹629.40 | 648 930 |
Oct 15, 2018 | ₹600.50 | ₹630.30 | ₹590.00 | ₹623.25 | 1 151 122 |
Oct 12, 2018 | ₹589.40 | ₹607.50 | ₹588.55 | ₹594.80 | 1 025 434 |
Oct 11, 2018 | ₹560.00 | ₹596.50 | ₹553.00 | ₹585.35 | 1 204 121 |
Oct 10, 2018 | ₹549.70 | ₹590.65 | ₹544.70 | ₹584.35 | 1 039 625 |
Oct 09, 2018 | ₹560.00 | ₹568.00 | ₹534.05 | ₹545.45 | 1 010 681 |
Oct 08, 2018 | ₹564.85 | ₹574.95 | ₹548.00 | ₹560.65 | 1 131 691 |
Oct 05, 2018 | ₹612.50 | ₹625.00 | ₹556.00 | ₹575.90 | 1 153 412 |
Oct 04, 2018 | ₹593.90 | ₹623.00 | ₹589.10 | ₹615.40 | 1 239 323 |
Oct 03, 2018 | ₹583.35 | ₹627.80 | ₹576.00 | ₹609.75 | 1 747 364 |
Oct 01, 2018 | ₹608.70 | ₹608.70 | ₹568.00 | ₹585.35 | 1 441 036 |
Sep 28, 2018 | ₹632.70 | ₹636.10 | ₹600.80 | ₹609.50 | 1 027 276 |
Sep 27, 2018 | ₹671.90 | ₹671.90 | ₹621.90 | ₹626.20 | 837 840 |
Sep 26, 2018 | ₹648.00 | ₹672.75 | ₹642.15 | ₹661.20 | 1 052 639 |
Sep 25, 2018 | ₹671.00 | ₹678.90 | ₹628.90 | ₹646.45 | 1 212 267 |
Sep 24, 2018 | ₹713.95 | ₹713.95 | ₹668.00 | ₹677.30 | 812 311 |
Sep 21, 2018 | ₹747.00 | ₹748.00 | ₹692.10 | ₹713.30 | 934 959 |
Sep 19, 2018 | ₹748.80 | ₹752.40 | ₹731.20 | ₹737.90 | 684 162 |
Sep 18, 2018 | ₹771.00 | ₹782.70 | ₹743.50 | ₹747.35 | 812 315 |
Sep 17, 2018 | ₹769.70 | ₹779.00 | ₹755.25 | ₹770.85 | 594 180 |
Sep 14, 2018 | ₹760.00 | ₹771.00 | ₹753.25 | ₹763.30 | 534 893 |
Sep 12, 2018 | ₹753.00 | ₹755.40 | ₹731.00 | ₹749.65 | 1 007 015 |
Sep 11, 2018 | ₹772.90 | ₹776.80 | ₹751.10 | ₹754.30 | 766 815 |
Sep 10, 2018 | ₹774.70 | ₹786.00 | ₹760.30 | ₹764.45 | 621 154 |
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 BEML.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the BEML.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 BEML.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.