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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

Historical Baroda Extrusion Limited prices

Date Open High Low Close Volume
Apr 08, 2024 ₹4.37 ₹4.37 ₹4.37 ₹4.37 28 291
Apr 05, 2024 ₹4.45 ₹4.50 ₹4.15 ₹4.45 734 688
Apr 04, 2024 ₹4.25 ₹4.35 ₹4.25 ₹4.35 338 316
Apr 03, 2024 ₹4.05 ₹4.15 ₹4.05 ₹4.15 246 166
Apr 02, 2024 ₹3.89 ₹3.96 ₹3.80 ₹3.96 112 053
Apr 01, 2024 ₹3.75 ₹3.78 ₹3.60 ₹3.78 123 042
Mar 28, 2024 ₹3.80 ₹3.80 ₹3.56 ₹3.60 168 889
Mar 27, 2024 ₹3.80 ₹3.82 ₹3.62 ₹3.72 163 810
Mar 26, 2024 ₹3.84 ₹3.87 ₹3.63 ₹3.81 105 863
Mar 22, 2024 ₹3.73 ₹3.88 ₹3.73 ₹3.82 86 540
Mar 21, 2024 ₹3.72 ₹3.84 ₹3.72 ₹3.81 90 261
Mar 20, 2024 ₹3.73 ₹3.91 ₹3.60 ₹3.69 136 674
Mar 19, 2024 ₹3.90 ₹3.92 ₹3.66 ₹3.73 58 323
Mar 18, 2024 ₹3.99 ₹3.99 ₹3.80 ₹3.81 105 694
Mar 15, 2024 ₹3.92 ₹3.93 ₹3.80 ₹3.91 71 780
Mar 14, 2024 ₹3.66 ₹3.84 ₹3.55 ₹3.83 138 151
Mar 13, 2024 ₹3.89 ₹3.92 ₹3.66 ₹3.66 196 188
Mar 12, 2024 ₹3.93 ₹3.93 ₹3.81 ₹3.85 235 920
Mar 11, 2024 ₹4.01 ₹4.30 ₹4.01 ₹4.01 235 051
Mar 07, 2024 ₹4.30 ₹4.30 ₹4.05 ₹4.22 114 324
Mar 06, 2024 ₹4.20 ₹4.32 ₹3.94 ₹4.17 436 757
Mar 05, 2024 ₹4.07 ₹4.15 ₹4.00 ₹4.14 260 099
Mar 04, 2024 ₹4.13 ₹4.13 ₹3.88 ₹4.03 185 782
Mar 01, 2024 ₹3.85 ₹4.05 ₹3.85 ₹4.02 184 720
Feb 29, 2024 ₹3.86 ₹4.04 ₹3.85 ₹4.00 897 625

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.

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.

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.

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.
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