Sequent Scientific Limited Stock Price (Quote)
₹103.45
-0.300 (-0.289%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹102.40 | ₹124.80 | Friday, 31st May 2024 SEQUENT.NS stock ended at ₹103.45. This is 0.289% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.44% from a day low at ₹102.40 to a day high of ₹104.90. |
90 days | ₹102.40 | ₹134.85 | |
52 weeks | ₹73.05 | ₹155.50 |
Historical Sequent Scientific Limited prices
Date | Open | High | Low | Close | Volume |
Mar 04, 2022 | ₹128.50 | ₹130.90 | ₹126.40 | ₹126.40 | 1 657 463 |
Mar 03, 2022 | ₹132.00 | ₹134.45 | ₹129.30 | ₹129.60 | 971 170 |
Mar 02, 2022 | ₹133.95 | ₹136.35 | ₹128.40 | ₹130.20 | 1 420 933 |
Feb 28, 2022 | ₹133.95 | ₹136.35 | ₹131.95 | ₹134.50 | 893 837 |
Feb 25, 2022 | ₹133.95 | ₹137.20 | ₹131.65 | ₹134.50 | 995 562 |
Feb 24, 2022 | ₹131.80 | ₹137.70 | ₹126.90 | ₹127.50 | 1 643 746 |
Feb 23, 2022 | ₹141.40 | ₹146.95 | ₹139.90 | ₹140.50 | 1 663 142 |
Feb 22, 2022 | ₹138.00 | ₹141.55 | ₹136.30 | ₹139.70 | 1 075 643 |
Feb 21, 2022 | ₹149.00 | ₹152.30 | ₹140.10 | ₹142.30 | 1 530 178 |
Feb 18, 2022 | ₹155.05 | ₹155.90 | ₹149.85 | ₹150.35 | 716 587 |
Feb 17, 2022 | ₹160.00 | ₹160.75 | ₹153.60 | ₹155.05 | 852 265 |
Feb 16, 2022 | ₹158.15 | ₹162.40 | ₹156.60 | ₹159.95 | 1 539 336 |
Feb 15, 2022 | ₹155.20 | ₹159.70 | ₹149.35 | ₹156.95 | 2 511 196 |
Feb 14, 2022 | ₹143.55 | ₹162.75 | ₹142.10 | ₹155.20 | 7 055 321 |
Feb 11, 2022 | ₹150.00 | ₹156.90 | ₹144.75 | ₹145.75 | 1 995 695 |
Feb 10, 2022 | ₹157.05 | ₹157.05 | ₹154.95 | ₹156.65 | 201 372 |
Feb 09, 2022 | ₹156.90 | ₹158.30 | ₹155.85 | ₹156.25 | 512 050 |
Feb 08, 2022 | ₹158.40 | ₹161.75 | ₹154.00 | ₹156.00 | 775 393 |
Feb 07, 2022 | ₹165.00 | ₹165.00 | ₹158.20 | ₹159.00 | 723 209 |
Feb 04, 2022 | ₹163.80 | ₹165.00 | ₹159.30 | ₹160.85 | 1 068 135 |
Feb 03, 2022 | ₹165.00 | ₹166.40 | ₹162.20 | ₹162.75 | 786 550 |
Feb 02, 2022 | ₹163.60 | ₹168.20 | ₹163.60 | ₹164.80 | 860 177 |
Feb 01, 2022 | ₹162.45 | ₹164.95 | ₹161.50 | ₹163.55 | 574 809 |
Jan 31, 2022 | ₹168.45 | ₹168.55 | ₹161.00 | ₹161.70 | 1 059 181 |
Jan 28, 2022 | ₹164.80 | ₹170.70 | ₹164.50 | ₹165.10 | 944 542 |
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 SEQUENT.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the SEQUENT.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 SEQUENT.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.