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 |
Jun 16, 2023 | ₹0.86 | ₹0.88 | ₹0.85 | ₹0.85 | 651 378 |
Jun 15, 2023 | ₹0.87 | ₹0.87 | ₹0.85 | ₹0.86 | 309 730 |
Jun 14, 2023 | ₹0.86 | ₹0.88 | ₹0.86 | ₹0.87 | 329 029 |
Jun 13, 2023 | ₹0.84 | ₹0.89 | ₹0.84 | ₹0.86 | 339 648 |
Jun 12, 2023 | ₹0.83 | ₹0.89 | ₹0.83 | ₹0.86 | 663 842 |
Jun 09, 2023 | ₹0.89 | ₹0.90 | ₹0.87 | ₹0.89 | 336 266 |
Jun 08, 2023 | ₹0.91 | ₹0.92 | ₹0.86 | ₹0.88 | 952 547 |
Jun 07, 2023 | ₹0.91 | ₹0.92 | ₹0.89 | ₹0.90 | 560 562 |
Jun 06, 2023 | ₹0.90 | ₹0.90 | ₹0.87 | ₹0.89 | 290 514 |
Jun 05, 2023 | ₹0.88 | ₹0.91 | ₹0.87 | ₹0.88 | 164 472 |
Jun 02, 2023 | ₹0.86 | ₹0.91 | ₹0.86 | ₹0.88 | 758 382 |
Jun 01, 2023 | ₹0.92 | ₹0.93 | ₹0.89 | ₹0.90 | 253 380 |
May 31, 2023 | ₹0.94 | ₹0.94 | ₹0.88 | ₹0.91 | 514 504 |
May 30, 2023 | ₹0.90 | ₹0.92 | ₹0.86 | ₹0.92 | 273 046 |
May 29, 2023 | ₹0.89 | ₹0.92 | ₹0.88 | ₹0.89 | 561 790 |
May 26, 2023 | ₹0.93 | ₹0.93 | ₹0.89 | ₹0.91 | 562 292 |
May 25, 2023 | ₹0.93 | ₹0.93 | ₹0.90 | ₹0.91 | 253 750 |
May 24, 2023 | ₹0.94 | ₹0.94 | ₹0.90 | ₹0.92 | 602 556 |
May 23, 2023 | ₹0.96 | ₹0.99 | ₹0.92 | ₹0.93 | 698 812 |
May 22, 2023 | ₹0.97 | ₹0.99 | ₹0.92 | ₹0.96 | 681 679 |
May 19, 2023 | ₹0.92 | ₹0.96 | ₹0.88 | ₹0.95 | 541 978 |
May 18, 2023 | ₹0.96 | ₹0.98 | ₹0.92 | ₹0.92 | 410 950 |
May 17, 2023 | ₹0.95 | ₹0.98 | ₹0.95 | ₹0.96 | 327 382 |
May 16, 2023 | ₹0.96 | ₹1.00 | ₹0.96 | ₹0.97 | 411 394 |
May 15, 2023 | ₹0.99 | ₹0.99 | ₹0.95 | ₹0.96 | 330 878 |
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.