DCB Bank Limited Stock Price (Quote)
₹128.10
+1.25 (+0.99%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹125.00 | ₹142.75 | Friday, 31st May 2024 DCBBANK.NS stock ended at ₹128.10. This is 0.99% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.87% from a day low at ₹125.25 to a day high of ₹128.85. |
90 days | ₹112.00 | ₹144.50 | |
52 weeks | ₹109.90 | ₹163.45 |
Historical DCB Bank Limited prices
Date | Open | High | Low | Close | Volume |
Jun 20, 2019 | ₹223.00 | ₹230.00 | ₹222.00 | ₹228.60 | 968 885 |
Jun 19, 2019 | ₹224.85 | ₹227.60 | ₹221.45 | ₹223.70 | 1 042 518 |
Jun 18, 2019 | ₹227.45 | ₹228.50 | ₹220.85 | ₹222.25 | 2 112 434 |
Jun 17, 2019 | ₹232.00 | ₹232.75 | ₹227.10 | ₹227.45 | 1 254 686 |
Jun 14, 2019 | ₹235.35 | ₹236.00 | ₹231.30 | ₹233.50 | 900 947 |
Jun 13, 2019 | ₹237.95 | ₹239.00 | ₹231.80 | ₹235.35 | 1 499 979 |
Jun 12, 2019 | ₹238.40 | ₹239.90 | ₹237.50 | ₹238.10 | 678 969 |
Jun 11, 2019 | ₹239.00 | ₹239.25 | ₹236.80 | ₹238.00 | 874 656 |
Jun 10, 2019 | ₹241.95 | ₹242.00 | ₹236.15 | ₹238.15 | 1 983 194 |
Jun 07, 2019 | ₹234.50 | ₹241.70 | ₹231.15 | ₹240.75 | 2 976 535 |
Jun 06, 2019 | ₹239.40 | ₹242.00 | ₹233.25 | ₹234.15 | 3 383 373 |
Jun 04, 2019 | ₹231.60 | ₹239.45 | ₹231.60 | ₹237.85 | 2 115 144 |
Jun 03, 2019 | ₹232.00 | ₹234.85 | ₹230.50 | ₹233.20 | 669 050 |
May 31, 2019 | ₹234.90 | ₹237.00 | ₹231.00 | ₹233.15 | 1 685 601 |
May 30, 2019 | ₹230.80 | ₹235.50 | ₹229.50 | ₹234.20 | 1 327 024 |
May 29, 2019 | ₹232.85 | ₹232.85 | ₹228.65 | ₹229.95 | 976 643 |
May 28, 2019 | ₹233.50 | ₹234.70 | ₹230.10 | ₹233.10 | 1 381 128 |
May 27, 2019 | ₹234.00 | ₹235.65 | ₹231.00 | ₹233.50 | 862 846 |
May 24, 2019 | ₹228.00 | ₹236.80 | ₹227.90 | ₹233.65 | 1 986 669 |
May 23, 2019 | ₹230.20 | ₹235.00 | ₹226.80 | ₹228.00 | 1 513 665 |
May 22, 2019 | ₹229.00 | ₹231.45 | ₹227.35 | ₹230.25 | 1 668 963 |
May 21, 2019 | ₹233.50 | ₹233.90 | ₹227.10 | ₹229.20 | 2 687 868 |
May 20, 2019 | ₹225.00 | ₹231.60 | ₹224.05 | ₹230.50 | 3 756 920 |
May 17, 2019 | ₹220.00 | ₹222.50 | ₹218.05 | ₹221.85 | 1 455 610 |
May 16, 2019 | ₹217.05 | ₹222.95 | ₹213.90 | ₹220.40 | 3 000 153 |
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 DCBBANK.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the DCBBANK.NS 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 DCBBANK.NS 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.