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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

Historical Quadrant Televentures Limited prices

Date Open High Low Close Volume
Aug 28, 2023 ₹0.91 ₹0.91 ₹0.87 ₹0.88 810 512
Aug 25, 2023 ₹0.89 ₹0.91 ₹0.86 ₹0.89 501 170
Aug 24, 2023 ₹0.89 ₹0.90 ₹0.87 ₹0.88 492 871
Aug 23, 2023 ₹0.88 ₹0.91 ₹0.87 ₹0.89 482 522
Aug 22, 2023 ₹0.91 ₹0.92 ₹0.87 ₹0.89 752 381
Aug 21, 2023 ₹0.97 ₹0.97 ₹0.91 ₹0.91 792 978
Aug 18, 2023 ₹0.97 ₹0.97 ₹0.93 ₹0.95 260 821
Aug 17, 2023 ₹0.85 ₹0.93 ₹0.85 ₹0.93 1 235 494
Aug 16, 2023 ₹0.89 ₹0.89 ₹0.89 ₹0.89 337 135
Aug 14, 2023 ₹0.97 ₹0.97 ₹0.93 ₹0.93 383 397
Aug 11, 2023 ₹0.97 ₹1.01 ₹0.95 ₹0.97 399 136
Aug 10, 2023 ₹1.01 ₹1.02 ₹0.97 ₹0.99 348 212
Aug 09, 2023 ₹1.06 ₹1.08 ₹0.99 ₹1.00 495 713
Aug 08, 2023 ₹1.08 ₹1.09 ₹1.02 ₹1.04 564 656
Aug 07, 2023 ₹1.07 ₹1.08 ₹1.03 ₹1.05 391 172
Aug 04, 2023 ₹1.03 ₹1.06 ₹1.01 ₹1.05 495 435
Aug 03, 2023 ₹1.10 ₹1.10 ₹1.01 ₹1.03 606 156
Aug 02, 2023 ₹1.12 ₹1.12 ₹1.02 ₹1.06 2 010 068
Aug 01, 2023 ₹1.07 ₹1.07 ₹0.97 ₹1.07 2 564 726
Jul 31, 2023 ₹1.02 ₹1.02 ₹1.00 ₹1.02 557 923
Jul 28, 2023 ₹0.86 ₹0.93 ₹0.83 ₹0.93 1 626 256
Jul 27, 2023 ₹0.85 ₹0.86 ₹0.82 ₹0.85 373 381
Jul 26, 2023 ₹0.84 ₹0.85 ₹0.82 ₹0.83 403 963
Jul 25, 2023 ₹0.81 ₹0.86 ₹0.80 ₹0.83 558 491
Jul 24, 2023 ₹0.81 ₹0.83 ₹0.790 ₹0.80 426 507

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.

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.

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.

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.
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