XBOM:ACIIN
ACI Infocom Limited Stock Price (Quote)
₹2.54
+0.120 (+4.96%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1.90 | ₹3.25 | Friday, 17th May 2024 ACIIN.BO stock ended at ₹2.54. This is 4.96% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0% from a day low at ₹2.54 to a day high of ₹2.54. |
90 days | ₹1.63 | ₹3.25 | |
52 weeks | ₹0.770 | ₹3.25 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | ₹2.54 | ₹2.54 | ₹2.54 | ₹2.54 | 178 709 |
May 16, 2024 | ₹2.20 | ₹2.42 | ₹2.20 | ₹2.42 | 737 621 |
May 15, 2024 | ₹2.31 | ₹2.31 | ₹2.31 | ₹2.31 | 330 124 |
May 14, 2024 | ₹2.43 | ₹2.43 | ₹2.43 | ₹2.43 | 167 650 |
May 13, 2024 | ₹2.55 | ₹2.55 | ₹2.55 | ₹2.55 | 234 635 |
May 10, 2024 | ₹2.68 | ₹2.68 | ₹2.68 | ₹2.68 | 176 214 |
May 09, 2024 | ₹2.82 | ₹2.82 | ₹2.82 | ₹2.82 | 158 471 |
May 08, 2024 | ₹2.96 | ₹2.96 | ₹2.96 | ₹2.96 | 538 736 |
May 07, 2024 | ₹3.25 | ₹3.25 | ₹2.95 | ₹3.11 | 1 498 399 |
May 06, 2024 | ₹3.10 | ₹3.10 | ₹3.10 | ₹3.10 | 331 058 |
May 03, 2024 | ₹2.96 | ₹2.96 | ₹2.96 | ₹2.96 | 253 198 |
May 02, 2024 | ₹2.82 | ₹2.82 | ₹2.74 | ₹2.82 | 543 040 |
Apr 30, 2024 | ₹2.69 | ₹2.69 | ₹2.65 | ₹2.69 | 786 139 |
Apr 29, 2024 | ₹2.55 | ₹2.57 | ₹2.50 | ₹2.57 | 428 139 |
Apr 26, 2024 | ₹2.39 | ₹2.45 | ₹2.39 | ₹2.45 | 486 027 |
Apr 25, 2024 | ₹2.33 | ₹2.34 | ₹2.30 | ₹2.34 | 397 415 |
Apr 24, 2024 | ₹2.17 | ₹2.23 | ₹2.13 | ₹2.23 | 300 880 |
Apr 23, 2024 | ₹2.10 | ₹2.13 | ₹2.10 | ₹2.13 | 372 002 |
Apr 22, 2024 | ₹1.98 | ₹2.08 | ₹1.98 | ₹2.03 | 393 369 |
Apr 19, 2024 | ₹1.98 | ₹2.03 | ₹1.90 | ₹1.99 | 328 229 |
Apr 18, 2024 | ₹2.00 | ₹2.02 | ₹1.92 | ₹2.00 | 287 172 |
Apr 16, 2024 | ₹1.92 | ₹2.10 | ₹1.92 | ₹2.02 | 413 657 |
Apr 15, 2024 | ₹2.09 | ₹2.09 | ₹2.01 | ₹2.02 | 438 961 |
Apr 12, 2024 | ₹2.19 | ₹2.25 | ₹2.05 | ₹2.11 | 1 020 593 |
Apr 09, 2024 | ₹2.05 | ₹2.05 | ₹2.01 | ₹2.05 | 202 070 |
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 ACIIN.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the ACIIN.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 ACIIN.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.