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 |
Jul 29, 2022 | ₹118.25 | ₹129.25 | ₹117.85 | ₹129.05 | 4 554 310 |
Jul 28, 2022 | ₹118.70 | ₹119.90 | ₹116.65 | ₹116.80 | 541 432 |
Jul 27, 2022 | ₹117.55 | ₹119.95 | ₹116.40 | ₹117.80 | 885 256 |
Jul 26, 2022 | ₹118.15 | ₹120.85 | ₹112.15 | ₹118.30 | 1 539 867 |
Jul 25, 2022 | ₹115.95 | ₹119.85 | ₹112.80 | ₹118.50 | 1 419 963 |
Jul 22, 2022 | ₹117.00 | ₹117.85 | ₹113.20 | ₹115.25 | 1 404 842 |
Jul 21, 2022 | ₹118.85 | ₹122.90 | ₹116.50 | ₹117.75 | 1 613 012 |
Jul 20, 2022 | ₹119.00 | ₹121.35 | ₹117.50 | ₹119.05 | 2 514 054 |
Jul 19, 2022 | ₹112.00 | ₹119.00 | ₹111.40 | ₹117.85 | 2 609 422 |
Jul 18, 2022 | ₹110.90 | ₹114.80 | ₹110.50 | ₹113.60 | 3 466 551 |
Jul 15, 2022 | ₹101.80 | ₹109.70 | ₹101.70 | ₹108.80 | 5 876 529 |
Jul 14, 2022 | ₹102.95 | ₹105.00 | ₹100.40 | ₹101.40 | 628 001 |
Jul 13, 2022 | ₹103.65 | ₹105.00 | ₹101.85 | ₹102.70 | 909 382 |
Jul 12, 2022 | ₹106.50 | ₹107.70 | ₹102.25 | ₹102.90 | 1 100 176 |
Jul 11, 2022 | ₹104.45 | ₹107.90 | ₹103.85 | ₹106.50 | 1 294 202 |
Jul 08, 2022 | ₹101.05 | ₹106.40 | ₹99.50 | ₹104.90 | 2 249 004 |
Jul 07, 2022 | ₹96.55 | ₹101.90 | ₹96.55 | ₹100.50 | 1 535 397 |
Jul 06, 2022 | ₹97.50 | ₹98.35 | ₹95.00 | ₹96.25 | 448 221 |
Jul 05, 2022 | ₹96.80 | ₹99.75 | ₹96.20 | ₹97.80 | 916 403 |
Jul 04, 2022 | ₹93.40 | ₹98.45 | ₹93.10 | ₹97.00 | 1 633 727 |
Jul 01, 2022 | ₹93.20 | ₹93.50 | ₹91.30 | ₹92.80 | 613 534 |
Jun 30, 2022 | ₹96.05 | ₹97.00 | ₹92.05 | ₹92.80 | 547 400 |
Jun 29, 2022 | ₹97.00 | ₹98.40 | ₹95.25 | ₹95.60 | 840 085 |
Jun 28, 2022 | ₹97.25 | ₹101.40 | ₹96.60 | ₹97.70 | 1 939 388 |
Jun 27, 2022 | ₹96.90 | ₹97.85 | ₹95.90 | ₹95.95 | 597 583 |
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.