XBOM:BAROEXT
Baroda Extrusion Limited Stock Price (Quote)
₹5.05
-0.0200 (-0.394%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹3.70 | ₹5.59 | Friday, 17th May 2024 BAROEXT.BO stock ended at ₹5.05. This is 0.394% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 10.37% from a day low at ₹4.82 to a day high of ₹5.32. |
90 days | ₹3.55 | ₹5.59 | |
52 weeks | ₹2.06 | ₹5.82 |
Date | Open | High | Low | Close | Volume |
Dec 18, 2023 | ₹2.96 | ₹2.99 | ₹2.86 | ₹2.87 | 144 912 |
Dec 15, 2023 | ₹2.99 | ₹3.10 | ₹2.85 | ₹2.94 | 125 960 |
Dec 14, 2023 | ₹2.84 | ₹2.98 | ₹2.84 | ₹2.94 | 200 001 |
Dec 13, 2023 | ₹2.90 | ₹2.90 | ₹2.81 | ₹2.84 | 192 513 |
Dec 12, 2023 | ₹2.95 | ₹2.99 | ₹2.81 | ₹2.84 | 223 576 |
Dec 11, 2023 | ₹2.68 | ₹3.00 | ₹2.68 | ₹2.88 | 533 975 |
Dec 08, 2023 | ₹2.68 | ₹2.74 | ₹2.68 | ₹2.73 | 89 207 |
Dec 07, 2023 | ₹2.73 | ₹2.75 | ₹2.63 | ₹2.66 | 157 455 |
Dec 06, 2023 | ₹2.67 | ₹2.79 | ₹2.64 | ₹2.68 | 129 260 |
Dec 05, 2023 | ₹2.77 | ₹2.85 | ₹2.58 | ₹2.67 | 257 761 |
Dec 04, 2023 | ₹2.87 | ₹3.00 | ₹2.61 | ₹2.77 | 334 244 |
Dec 01, 2023 | ₹2.61 | ₹2.87 | ₹2.61 | ₹2.86 | 345 790 |
Nov 30, 2023 | ₹2.76 | ₹2.76 | ₹2.51 | ₹2.61 | 342 855 |
Nov 29, 2023 | ₹2.80 | ₹2.82 | ₹2.72 | ₹2.75 | 62 865 |
Nov 28, 2023 | ₹2.84 | ₹2.84 | ₹2.70 | ₹2.77 | 107 129 |
Nov 24, 2023 | ₹2.82 | ₹2.82 | ₹2.77 | ₹2.79 | 84 321 |
Nov 23, 2023 | ₹2.87 | ₹2.87 | ₹2.76 | ₹2.81 | 126 726 |
Nov 22, 2023 | ₹2.82 | ₹2.86 | ₹2.78 | ₹2.83 | 115 864 |
Nov 21, 2023 | ₹3.02 | ₹3.02 | ₹2.67 | ₹2.82 | 261 593 |
Nov 20, 2023 | ₹3.07 | ₹3.07 | ₹2.92 | ₹2.96 | 267 194 |
Nov 17, 2023 | ₹2.97 | ₹3.05 | ₹2.77 | ₹3.02 | 837 303 |
Nov 16, 2023 | ₹2.90 | ₹3.08 | ₹2.79 | ₹2.86 | 168 562 |
Nov 15, 2023 | ₹2.89 | ₹2.93 | ₹2.82 | ₹2.88 | 50 852 |
Nov 13, 2023 | ₹2.78 | ₹2.90 | ₹2.78 | ₹2.85 | 141 729 |
Nov 10, 2023 | ₹2.78 | ₹2.95 | ₹2.74 | ₹2.87 | 229 307 |
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 BAROEXT.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the BAROEXT.BO 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 BAROEXT.BO 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.