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 |
Mar 12, 2019 | ₹45.85 | ₹45.85 | ₹44.50 | ₹44.75 | 12 075 240 |
Mar 11, 2019 | ₹44.00 | ₹45.45 | ₹44.00 | ₹44.85 | 14 241 702 |
Mar 08, 2019 | ₹44.05 | ₹44.30 | ₹43.20 | ₹43.35 | 5 093 875 |
Mar 07, 2019 | ₹46.00 | ₹46.10 | ₹43.75 | ₹44.05 | 19 083 532 |
Mar 06, 2019 | ₹46.50 | ₹47.15 | ₹45.10 | ₹45.70 | 11 013 193 |
Mar 05, 2019 | ₹44.45 | ₹48.15 | ₹44.10 | ₹46.25 | 18 064 820 |
Mar 01, 2019 | ₹43.10 | ₹44.70 | ₹43.00 | ₹44.35 | 12 286 495 |
Feb 28, 2019 | ₹42.00 | ₹43.05 | ₹41.95 | ₹42.85 | 7 481 825 |
Feb 27, 2019 | ₹42.60 | ₹43.30 | ₹41.30 | ₹41.65 | 8 953 577 |
Feb 26, 2019 | ₹42.50 | ₹43.00 | ₹41.75 | ₹42.25 | 4 912 210 |
Feb 25, 2019 | ₹43.45 | ₹43.65 | ₹42.60 | ₹42.95 | 3 305 017 |
Feb 22, 2019 | ₹44.85 | ₹44.85 | ₹42.95 | ₹43.10 | 10 879 789 |
Feb 21, 2019 | ₹44.00 | ₹45.60 | ₹42.20 | ₹45.00 | 12 372 549 |
Feb 20, 2019 | ₹42.70 | ₹44.00 | ₹42.65 | ₹43.75 | 6 949 312 |
Feb 19, 2019 | ₹42.05 | ₹44.30 | ₹42.05 | ₹42.40 | 7 918 302 |
Feb 18, 2019 | ₹44.15 | ₹45.00 | ₹41.50 | ₹42.20 | 7 841 495 |
Feb 15, 2019 | ₹45.45 | ₹45.80 | ₹44.10 | ₹44.95 | 6 379 751 |
Feb 14, 2019 | ₹43.50 | ₹45.75 | ₹42.90 | ₹45.20 | 4 491 856 |
Feb 12, 2019 | ₹43.35 | ₹44.85 | ₹42.80 | ₹43.30 | 5 068 891 |
Feb 11, 2019 | ₹43.20 | ₹44.50 | ₹41.55 | ₹43.10 | 6 355 587 |
Feb 08, 2019 | ₹44.05 | ₹44.05 | ₹43.00 | ₹43.20 | 3 251 704 |
Feb 07, 2019 | ₹43.60 | ₹45.05 | ₹43.10 | ₹43.95 | 9 528 082 |
Feb 06, 2019 | ₹46.85 | ₹46.90 | ₹43.20 | ₹43.90 | 11 643 022 |
Feb 05, 2019 | ₹49.75 | ₹50.00 | ₹46.45 | ₹47.05 | 13 999 310 |
Feb 04, 2019 | ₹52.50 | ₹53.40 | ₹48.80 | ₹50.50 | 18 989 573 |
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.