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Range Low Price High Price Comment
30 days ₹5.65 ₹7.87 Wednesday, 12th Jun 2024 ASHCAP.BO stock ended at ₹6.71. This is 1.67% more than the trading day before Tuesday, 11th Jun 2024. During the day the stock fluctuated 6.06% from a day low at ₹6.60 to a day high of ₹7.00.
90 days ₹4.81 ₹7.87
52 weeks ₹3.50 ₹8.24

Historical Ashirwad Capital Limited prices

Date Open High Low Close Volume
Dec 02, 2022 ₹6.19 ₹6.19 ₹5.16 ₹5.67 136 208
Dec 01, 2022 ₹5.95 ₹6.20 ₹5.88 ₹6.09 324 795
Nov 30, 2022 ₹5.30 ₹6.33 ₹5.30 ₹5.73 197 231
Nov 29, 2022 ₹5.22 ₹5.39 ₹5.11 ₹5.39 81 917
Nov 28, 2022 ₹5.35 ₹5.45 ₹5.20 ₹5.22 34 230
Nov 25, 2022 ₹5.39 ₹5.40 ₹5.21 ₹5.33 18 656
Nov 24, 2022 ₹5.22 ₹5.43 ₹5.21 ₹5.26 64 902
Nov 23, 2022 ₹5.39 ₹5.48 ₹5.00 ₹5.26 38 569
Nov 22, 2022 ₹5.38 ₹5.52 ₹5.30 ₹5.42 48 891
Nov 21, 2022 ₹5.52 ₹5.60 ₹5.31 ₹5.39 48 882
Nov 18, 2022 ₹5.41 ₹5.71 ₹5.39 ₹5.52 29 816
Nov 17, 2022 ₹5.44 ₹5.54 ₹5.40 ₹5.41 28 618
Nov 16, 2022 ₹5.50 ₹5.60 ₹5.43 ₹5.53 40 358
Nov 15, 2022 ₹5.75 ₹5.75 ₹5.50 ₹5.52 33 445
Nov 14, 2022 ₹5.95 ₹5.96 ₹5.52 ₹5.60 51 645
Nov 11, 2022 ₹5.59 ₹5.63 ₹5.46 ₹5.51 29 898
Nov 10, 2022 ₹5.60 ₹5.75 ₹5.43 ₹5.57 37 447
Nov 09, 2022 ₹5.70 ₹5.70 ₹5.51 ₹5.59 31 890
Nov 07, 2022 ₹5.55 ₹5.61 ₹5.46 ₹5.55 32 289
Nov 04, 2022 ₹5.45 ₹5.60 ₹5.40 ₹5.54 36 282
Nov 03, 2022 ₹5.50 ₹5.56 ₹5.46 ₹5.52 12 237
Nov 02, 2022 ₹5.63 ₹5.63 ₹5.46 ₹5.50 77 810
Nov 01, 2022 ₹5.65 ₹5.65 ₹5.45 ₹5.54 13 638
Oct 31, 2022 ₹5.51 ₹5.55 ₹5.42 ₹5.53 25 773
Oct 28, 2022 ₹5.51 ₹5.62 ₹5.45 ₹5.50 71 597

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 ASHCAP.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the ASHCAP.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 ASHCAP.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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