XBOM:QUADRANT
Quadrant Televentures Limited Stock Price (Quote)
₹1.98
+0.0200 (+1.02%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1.56 | ₹2.10 | Friday, 17th May 2024 QUADRANT.BO stock ended at ₹1.98. This is 1.02% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 9.04% from a day low at ₹1.88 to a day high of ₹2.05. |
90 days | ₹1.56 | ₹2.83 | |
52 weeks | ₹0.750 | ₹2.83 |
Date | Open | High | Low | Close | Volume |
Dec 18, 2023 | ₹1.51 | ₹1.51 | ₹1.47 | ₹1.47 | 1 787 929 |
Dec 15, 2023 | ₹1.49 | ₹1.49 | ₹1.49 | ₹1.49 | 722 509 |
Dec 14, 2023 | ₹1.42 | ₹1.42 | ₹1.33 | ₹1.42 | 498 251 |
Dec 13, 2023 | ₹1.36 | ₹1.36 | ₹1.33 | ₹1.36 | 673 583 |
Dec 12, 2023 | ₹1.29 | ₹1.30 | ₹1.26 | ₹1.30 | 1 171 879 |
Dec 11, 2023 | ₹1.20 | ₹1.24 | ₹1.18 | ₹1.24 | 1 123 390 |
Dec 08, 2023 | ₹1.22 | ₹1.22 | ₹1.17 | ₹1.19 | 633 606 |
Dec 07, 2023 | ₹1.20 | ₹1.23 | ₹1.16 | ₹1.20 | 598 527 |
Dec 06, 2023 | ₹1.21 | ₹1.22 | ₹1.17 | ₹1.20 | 497 479 |
Dec 05, 2023 | ₹1.19 | ₹1.20 | ₹1.16 | ₹1.19 | 630 716 |
Dec 04, 2023 | ₹1.16 | ₹1.19 | ₹1.14 | ₹1.18 | 534 584 |
Dec 01, 2023 | ₹1.17 | ₹1.18 | ₹1.12 | ₹1.14 | 922 061 |
Nov 30, 2023 | ₹1.16 | ₹1.18 | ₹1.14 | ₹1.17 | 548 839 |
Nov 29, 2023 | ₹1.19 | ₹1.20 | ₹1.14 | ₹1.15 | 580 693 |
Nov 28, 2023 | ₹1.20 | ₹1.20 | ₹1.14 | ₹1.18 | 530 791 |
Nov 24, 2023 | ₹1.15 | ₹1.19 | ₹1.14 | ₹1.17 | 588 481 |
Nov 23, 2023 | ₹1.17 | ₹1.17 | ₹1.12 | ₹1.14 | 511 496 |
Nov 22, 2023 | ₹1.22 | ₹1.22 | ₹1.14 | ₹1.16 | 331 037 |
Nov 21, 2023 | ₹1.19 | ₹1.23 | ₹1.13 | ₹1.20 | 974 121 |
Nov 20, 2023 | ₹1.17 | ₹1.21 | ₹1.15 | ₹1.18 | 586 673 |
Nov 17, 2023 | ₹1.18 | ₹1.18 | ₹1.12 | ₹1.16 | 500 133 |
Nov 16, 2023 | ₹1.20 | ₹1.20 | ₹1.16 | ₹1.17 | 440 392 |
Nov 15, 2023 | ₹1.20 | ₹1.20 | ₹1.16 | ₹1.18 | 267 792 |
Nov 13, 2023 | ₹1.24 | ₹1.24 | ₹1.17 | ₹1.18 | 367 297 |
Nov 10, 2023 | ₹1.24 | ₹1.24 | ₹1.17 | ₹1.18 | 328 828 |
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 QUADRANT.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the QUADRANT.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 QUADRANT.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.