NSE:IDBI
IDBI Bank Limited Stock Price (Quote)
₹86.58
+0.250 (+0.290%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹76.20 | ₹93.70 | Friday, 14th Jun 2024 IDBI.NS stock ended at ₹86.58. This is 0.290% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 2.03% from a day low at ₹85.87 to a day high of ₹87.61. |
90 days | ₹76.20 | ₹93.70 | |
52 weeks | ₹53.25 | ₹98.70 |
Historical IDBI Bank Limited prices
Date | Open | High | Low | Close | Volume |
Feb 01, 2019 | ₹55.75 | ₹55.95 | ₹52.20 | ₹52.75 | 4 644 706 |
Jan 31, 2019 | ₹54.55 | ₹55.95 | ₹53.65 | ₹55.40 | 2 345 094 |
Jan 30, 2019 | ₹56.25 | ₹56.40 | ₹53.90 | ₹54.40 | 3 179 220 |
Jan 29, 2019 | ₹53.30 | ₹56.45 | ₹53.00 | ₹56.25 | 4 055 596 |
Jan 28, 2019 | ₹55.05 | ₹55.15 | ₹52.90 | ₹53.60 | 3 125 334 |
Jan 25, 2019 | ₹56.05 | ₹56.40 | ₹54.30 | ₹54.90 | 2 843 142 |
Jan 24, 2019 | ₹57.30 | ₹57.90 | ₹54.90 | ₹56.05 | 4 180 297 |
Jan 23, 2019 | ₹57.30 | ₹57.85 | ₹56.45 | ₹56.60 | 2 465 183 |
Jan 22, 2019 | ₹56.80 | ₹57.50 | ₹56.15 | ₹57.10 | 4 211 709 |
Jan 21, 2019 | ₹58.20 | ₹58.55 | ₹56.05 | ₹56.35 | 5 299 443 |
Jan 18, 2019 | ₹60.90 | ₹60.95 | ₹57.95 | ₹58.20 | 3 015 286 |
Jan 17, 2019 | ₹62.00 | ₹62.30 | ₹60.10 | ₹60.70 | 2 825 033 |
Jan 16, 2019 | ₹61.75 | ₹62.75 | ₹61.55 | ₹61.95 | 1 327 059 |
Jan 15, 2019 | ₹62.85 | ₹63.05 | ₹61.50 | ₹61.75 | 1 760 898 |
Jan 14, 2019 | ₹63.15 | ₹63.30 | ₹62.10 | ₹62.70 | 1 944 072 |
Jan 11, 2019 | ₹62.80 | ₹63.55 | ₹61.20 | ₹63.35 | 2 772 598 |
Jan 10, 2019 | ₹64.30 | ₹64.90 | ₹62.40 | ₹62.70 | 3 624 448 |
Jan 09, 2019 | ₹63.00 | ₹65.75 | ₹63.00 | ₹64.65 | 11 347 419 |
Jan 08, 2019 | ₹61.30 | ₹62.95 | ₹61.05 | ₹61.90 | 2 387 232 |
Jan 07, 2019 | ₹61.65 | ₹61.75 | ₹61.25 | ₹61.30 | 5 901 189 |
Jan 04, 2019 | ₹61.40 | ₹61.65 | ₹61.25 | ₹61.45 | 3 405 689 |
Jan 03, 2019 | ₹61.35 | ₹61.45 | ₹61.25 | ₹61.35 | 2 076 879 |
Jan 02, 2019 | ₹61.40 | ₹61.50 | ₹61.25 | ₹61.35 | 2 957 494 |
Jan 01, 2019 | ₹61.45 | ₹61.50 | ₹61.20 | ₹61.45 | 1 127 959 |
Dec 31, 2018 | ₹61.50 | ₹61.60 | ₹61.15 | ₹61.25 | 2 651 128 |
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 IDBI.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the IDBI.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 IDBI.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.