Sequent Scientific Limited Stock Price (Quote)
₹116.20
-0.95 (-0.81%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹113.70 | ₹129.00 | Friday, 17th May 2024 SEQUENT.NS stock ended at ₹116.20. This is 0.81% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.90% from a day low at ₹116.00 to a day high of ₹118.20. |
90 days | ₹112.10 | ₹155.50 | |
52 weeks | ₹70.60 | ₹155.50 |
Date | Open | High | Low | Close | Volume |
Jan 29, 2024 | ₹135.00 | ₹140.60 | ₹133.20 | ₹139.55 | 1 737 362 |
Jan 25, 2024 | ₹134.30 | ₹137.20 | ₹133.80 | ₹134.90 | 801 303 |
Jan 24, 2024 | ₹136.50 | ₹136.50 | ₹131.50 | ₹133.30 | 1 194 714 |
Jan 23, 2024 | ₹137.40 | ₹141.30 | ₹132.40 | ₹135.95 | 2 558 035 |
Jan 22, 2024 | ₹137.40 | ₹137.40 | ₹137.40 | ₹137.40 | 0 |
Jan 20, 2024 | ₹136.85 | ₹141.90 | ₹135.05 | ₹138.40 | 1 926 324 |
Jan 19, 2024 | ₹136.30 | ₹139.65 | ₹134.15 | ₹137.40 | 2 587 445 |
Jan 18, 2024 | ₹127.50 | ₹138.70 | ₹127.00 | ₹135.20 | 9 952 902 |
Jan 17, 2024 | ₹130.00 | ₹133.30 | ₹127.50 | ₹128.80 | 1 791 875 |
Jan 16, 2024 | ₹135.70 | ₹136.70 | ₹130.60 | ₹133.55 | 1 424 213 |
Jan 15, 2024 | ₹139.00 | ₹139.05 | ₹134.10 | ₹134.80 | 1 639 495 |
Jan 12, 2024 | ₹141.00 | ₹141.00 | ₹137.10 | ₹138.40 | 1 611 709 |
Jan 11, 2024 | ₹138.90 | ₹147.00 | ₹138.15 | ₹139.65 | 7 511 819 |
Jan 10, 2024 | ₹142.00 | ₹142.10 | ₹136.10 | ₹137.50 | 2 390 502 |
Jan 09, 2024 | ₹135.55 | ₹142.90 | ₹134.70 | ₹141.25 | 10 423 848 |
Jan 08, 2024 | ₹128.00 | ₹137.25 | ₹127.40 | ₹133.25 | 8 944 095 |
Jan 05, 2024 | ₹131.40 | ₹131.40 | ₹125.50 | ₹126.80 | 2 327 412 |
Jan 04, 2024 | ₹132.10 | ₹135.80 | ₹129.50 | ₹130.40 | 5 495 837 |
Jan 03, 2024 | ₹122.00 | ₹135.00 | ₹121.80 | ₹132.00 | 16 978 571 |
Jan 02, 2024 | ₹115.55 | ₹124.45 | ₹115.40 | ₹121.90 | 9 163 993 |
Jan 01, 2024 | ₹114.30 | ₹117.20 | ₹113.90 | ₹115.15 | 1 062 720 |
Dec 29, 2023 | ₹116.00 | ₹117.20 | ₹112.80 | ₹113.75 | 1 497 479 |
Dec 28, 2023 | ₹118.60 | ₹119.35 | ₹115.50 | ₹116.25 | 760 610 |
Dec 27, 2023 | ₹119.00 | ₹122.20 | ₹116.70 | ₹117.40 | 1 494 886 |
Dec 26, 2023 | ₹118.00 | ₹119.80 | ₹116.10 | ₹118.95 | 943 315 |
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.