XBOM:PMCFIN
PMC Fincorp Limited Stock Price (Quote)
₹2.80
-0.0200 (-0.709%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹2.50 | ₹3.19 | Friday, 17th May 2024 PMCFIN.BO stock ended at ₹2.80. This is 0.709% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.55% from a day low at ₹2.75 to a day high of ₹2.82. |
90 days | ₹2.13 | ₹3.19 | |
52 weeks | ₹1.42 | ₹3.47 |
Date | Open | High | Low | Close | Volume |
Jan 18, 2022 | ₹11.18 | ₹11.18 | ₹10.12 | ₹11.18 | 7 991 325 |
Jan 17, 2022 | ₹10.65 | ₹10.65 | ₹10.63 | ₹10.65 | 2 535 115 |
Jan 14, 2022 | ₹10.14 | ₹10.15 | ₹9.27 | ₹10.15 | 7 241 850 |
Jan 13, 2022 | ₹9.67 | ₹9.67 | ₹8.75 | ₹9.67 | 12 999 934 |
Jan 12, 2022 | ₹9.21 | ₹9.21 | ₹8.36 | ₹9.21 | 12 129 067 |
Jan 11, 2022 | ₹8.78 | ₹8.78 | ₹8.78 | ₹8.78 | 877 286 |
Jan 10, 2022 | ₹8.37 | ₹8.37 | ₹8.37 | ₹8.37 | 1 366 104 |
Jan 07, 2022 | ₹7.98 | ₹7.98 | ₹7.98 | ₹7.98 | 1 206 129 |
Jan 06, 2022 | ₹7.60 | ₹7.60 | ₹7.24 | ₹7.60 | 3 538 494 |
Jan 05, 2022 | ₹7.24 | ₹7.24 | ₹6.56 | ₹7.24 | 15 569 120 |
Jan 04, 2022 | ₹6.90 | ₹6.90 | ₹6.90 | ₹6.90 | 2 533 406 |
Jan 03, 2022 | ₹6.58 | ₹6.58 | ₹6.58 | ₹6.58 | 823 267 |
Dec 31, 2021 | ₹6.27 | ₹6.27 | ₹6.20 | ₹6.27 | 5 920 801 |
Dec 30, 2021 | ₹5.98 | ₹5.98 | ₹5.98 | ₹5.98 | 2 127 144 |
Dec 29, 2021 | ₹5.70 | ₹5.70 | ₹5.70 | ₹5.70 | 1 625 943 |
Dec 28, 2021 | ₹5.43 | ₹5.43 | ₹5.43 | ₹5.43 | 1 126 432 |
Dec 27, 2021 | ₹5.17 | ₹5.18 | ₹4.70 | ₹5.18 | 4 374 605 |
Dec 24, 2021 | ₹4.94 | ₹4.94 | ₹4.48 | ₹4.94 | 11 933 962 |
Dec 23, 2021 | ₹4.69 | ₹4.71 | ₹4.65 | ₹4.71 | 2 650 946 |
Dec 22, 2021 | ₹4.49 | ₹4.49 | ₹4.37 | ₹4.49 | 4 355 449 |
Dec 21, 2021 | ₹3.88 | ₹4.28 | ₹3.88 | ₹4.28 | 3 706 852 |
Dec 20, 2021 | ₹4.45 | ₹4.50 | ₹4.08 | ₹4.08 | 3 037 464 |
Dec 17, 2021 | ₹4.29 | ₹4.29 | ₹3.89 | ₹4.29 | 11 254 659 |
Dec 16, 2021 | ₹4.09 | ₹4.09 | ₹4.09 | ₹4.09 | 1 288 750 |
Dec 15, 2021 | ₹3.90 | ₹3.90 | ₹3.90 | ₹3.90 | 1 766 297 |
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 PMCFIN.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the PMCFIN.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 PMCFIN.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.