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 |
Nov 16, 2023 | ₹97.95 | ₹99.60 | ₹97.70 | ₹98.00 | 804 196 |
Nov 15, 2023 | ₹99.85 | ₹100.25 | ₹97.00 | ₹97.80 | 1 070 095 |
Nov 13, 2023 | ₹99.40 | ₹100.90 | ₹98.00 | ₹99.15 | 1 126 529 |
Nov 10, 2023 | ₹98.10 | ₹100.35 | ₹97.25 | ₹97.70 | 972 053 |
Nov 09, 2023 | ₹98.60 | ₹100.05 | ₹97.80 | ₹98.20 | 722 481 |
Nov 08, 2023 | ₹102.25 | ₹103.00 | ₹99.50 | ₹99.80 | 916 676 |
Nov 07, 2023 | ₹101.05 | ₹104.30 | ₹100.80 | ₹102.20 | 1 700 311 |
Nov 06, 2023 | ₹99.90 | ₹103.00 | ₹99.05 | ₹100.80 | 1 413 268 |
Nov 03, 2023 | ₹97.90 | ₹101.15 | ₹97.90 | ₹99.95 | 1 508 287 |
Nov 02, 2023 | ₹98.55 | ₹99.35 | ₹97.10 | ₹97.70 | 1 111 081 |
Nov 01, 2023 | ₹99.00 | ₹100.30 | ₹96.70 | ₹98.05 | 1 637 386 |
Oct 31, 2023 | ₹99.30 | ₹99.70 | ₹97.65 | ₹98.75 | 1 584 177 |
Oct 30, 2023 | ₹101.70 | ₹101.90 | ₹98.20 | ₹99.05 | 2 445 867 |
Oct 27, 2023 | ₹100.05 | ₹103.30 | ₹99.95 | ₹101.35 | 2 738 175 |
Oct 26, 2023 | ₹99.35 | ₹100.40 | ₹94.50 | ₹99.55 | 4 716 609 |
Oct 25, 2023 | ₹96.25 | ₹102.20 | ₹96.00 | ₹99.60 | 16 828 930 |
Oct 23, 2023 | ₹103.00 | ₹104.95 | ₹90.70 | ₹94.30 | 8 844 237 |
Oct 20, 2023 | ₹108.70 | ₹109.50 | ₹103.50 | ₹104.55 | 3 172 666 |
Oct 19, 2023 | ₹106.55 | ₹109.80 | ₹106.40 | ₹108.20 | 4 017 654 |
Oct 18, 2023 | ₹110.75 | ₹111.00 | ₹105.70 | ₹107.70 | 5 028 615 |
Oct 17, 2023 | ₹111.00 | ₹113.80 | ₹109.10 | ₹110.10 | 10 334 172 |
Oct 16, 2023 | ₹103.80 | ₹112.25 | ₹103.65 | ₹109.80 | 28 679 765 |
Oct 13, 2023 | ₹93.40 | ₹106.00 | ₹93.40 | ₹103.20 | 44 457 706 |
Oct 12, 2023 | ₹95.60 | ₹96.10 | ₹93.25 | ₹93.85 | 599 323 |
Oct 11, 2023 | ₹95.00 | ₹96.30 | ₹94.05 | ₹95.15 | 1 285 600 |
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.