Oberoi Realty Limited Stock Price (Quote)
₹1,907.80
-27.10 (-1.40%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1,537.35 | ₹1,953.05 | Friday, 14th Jun 2024 OBEROIRLTY.NS stock ended at ₹1,907.80. This is 1.40% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 3.17% from a day low at ₹1,893.00 to a day high of ₹1,953.05. |
90 days | ₹1,314.20 | ₹1,953.05 | |
52 weeks | ₹976.25 | ₹1,953.05 |
Historical Oberoi Realty Limited prices
Date | Open | High | Low | Close | Volume |
Jun 14, 2024 | ₹1,952.55 | ₹1,953.05 | ₹1,893.00 | ₹1,907.80 | 615 229 |
Jun 13, 2024 | ₹1,930.00 | ₹1,946.35 | ₹1,915.85 | ₹1,934.90 | 1 264 278 |
Jun 12, 2024 | ₹1,931.25 | ₹1,941.75 | ₹1,904.50 | ₹1,918.45 | 583 698 |
Jun 11, 2024 | ₹1,905.00 | ₹1,952.05 | ₹1,901.15 | ₹1,930.75 | 1 352 244 |
Jun 10, 2024 | ₹1,900.05 | ₹1,925.00 | ₹1,841.50 | ₹1,899.30 | 1 113 982 |
Jun 07, 2024 | ₹1,904.25 | ₹1,927.95 | ₹1,881.95 | ₹1,889.50 | 606 408 |
Jun 06, 2024 | ₹1,851.95 | ₹1,913.25 | ₹1,845.15 | ₹1,904.25 | 816 592 |
Jun 05, 2024 | ₹1,774.80 | ₹1,850.00 | ₹1,717.05 | ₹1,844.95 | 781 275 |
Jun 04, 2024 | ₹1,886.00 | ₹1,886.00 | ₹1,601.35 | ₹1,745.25 | 1 025 676 |
Jun 03, 2024 | ₹1,924.95 | ₹1,924.95 | ₹1,851.00 | ₹1,883.95 | 968 515 |
May 31, 2024 | ₹1,835.00 | ₹1,868.35 | ₹1,800.00 | ₹1,819.65 | 1 236 595 |
May 30, 2024 | ₹1,825.00 | ₹1,848.80 | ₹1,789.75 | ₹1,810.45 | 606 493 |
May 29, 2024 | ₹1,812.50 | ₹1,848.75 | ₹1,812.50 | ₹1,832.75 | 544 106 |
May 28, 2024 | ₹1,803.85 | ₹1,849.00 | ₹1,800.25 | ₹1,832.65 | 920 388 |
May 27, 2024 | ₹1,800.50 | ₹1,818.40 | ₹1,791.10 | ₹1,803.85 | 460 294 |
May 24, 2024 | ₹1,788.15 | ₹1,818.85 | ₹1,763.50 | ₹1,800.75 | 742 648 |
May 23, 2024 | ₹1,798.50 | ₹1,811.65 | ₹1,729.55 | ₹1,788.10 | 1 363 213 |
May 22, 2024 | ₹1,736.35 | ₹1,795.55 | ₹1,707.60 | ₹1,774.25 | 1 302 488 |
May 21, 2024 | ₹1,750.55 | ₹1,758.50 | ₹1,718.55 | ₹1,724.90 | 1 585 597 |
May 20, 2024 | ₹1,742.80 | ₹1,742.80 | ₹1,742.80 | ₹1,742.80 | 0 |
May 17, 2024 | ₹1,727.45 | ₹1,771.45 | ₹1,717.05 | ₹1,742.80 | 2 255 913 |
May 16, 2024 | ₹1,591.20 | ₹1,727.95 | ₹1,583.25 | ₹1,711.15 | 7 768 918 |
May 15, 2024 | ₹1,585.00 | ₹1,629.05 | ₹1,537.35 | ₹1,574.15 | 5 374 437 |
May 14, 2024 | ₹1,487.00 | ₹1,537.00 | ₹1,480.20 | ₹1,519.25 | 469 446 |
May 13, 2024 | ₹1,469.65 | ₹1,487.45 | ₹1,445.90 | ₹1,482.75 | 161 472 |
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 OBEROIRLTY.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the OBEROIRLTY.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 OBEROIRLTY.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.