NSE:SPIC
Southern Petrochemical Industries Corp Stock Price (Quote)
₹76.65
-1.35 (-1.73%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹73.15 | ₹85.80 | Friday, 17th May 2024 SPIC.NS stock ended at ₹76.65. This is 1.73% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.36% from a day low at ₹76.20 to a day high of ₹78.00. |
90 days | ₹68.25 | ₹99.95 | |
52 weeks | ₹62.00 | ₹107.50 |
Date | Open | High | Low | Close | Volume |
Dec 22, 2023 | ₹76.00 | ₹77.55 | ₹75.25 | ₹76.40 | 1 430 092 |
Dec 21, 2023 | ₹72.75 | ₹75.70 | ₹71.50 | ₹75.35 | 1 601 966 |
Dec 20, 2023 | ₹78.60 | ₹79.70 | ₹72.05 | ₹72.90 | 2 556 990 |
Dec 19, 2023 | ₹78.50 | ₹79.80 | ₹77.35 | ₹78.20 | 1 337 010 |
Dec 18, 2023 | ₹79.00 | ₹81.00 | ₹78.60 | ₹78.85 | 1 758 910 |
Dec 15, 2023 | ₹79.50 | ₹81.55 | ₹78.50 | ₹78.90 | 2 704 990 |
Dec 14, 2023 | ₹80.00 | ₹80.50 | ₹78.50 | ₹78.70 | 1 539 667 |
Dec 13, 2023 | ₹78.20 | ₹80.80 | ₹78.20 | ₹79.45 | 5 576 937 |
Dec 12, 2023 | ₹74.80 | ₹78.90 | ₹73.55 | ₹77.60 | 7 198 934 |
Dec 11, 2023 | ₹74.35 | ₹75.85 | ₹74.00 | ₹74.45 | 1 606 829 |
Dec 08, 2023 | ₹75.20 | ₹76.40 | ₹73.35 | ₹74.05 | 1 796 944 |
Dec 07, 2023 | ₹75.60 | ₹76.00 | ₹74.00 | ₹75.20 | 2 113 900 |
Dec 06, 2023 | ₹72.90 | ₹76.30 | ₹72.75 | ₹74.85 | 6 252 216 |
Dec 05, 2023 | ₹73.35 | ₹74.10 | ₹71.80 | ₹72.40 | 1 292 040 |
Dec 04, 2023 | ₹70.95 | ₹73.95 | ₹70.45 | ₹72.80 | 4 136 321 |
Dec 01, 2023 | ₹70.25 | ₹71.35 | ₹69.80 | ₹70.20 | 1 142 117 |
Nov 30, 2023 | ₹70.00 | ₹70.70 | ₹69.40 | ₹70.00 | 824 456 |
Nov 29, 2023 | ₹70.40 | ₹70.80 | ₹69.50 | ₹69.80 | 1 013 258 |
Nov 28, 2023 | ₹67.90 | ₹70.70 | ₹67.85 | ₹69.95 | 2 061 980 |
Nov 24, 2023 | ₹68.45 | ₹68.85 | ₹67.30 | ₹67.50 | 528 961 |
Nov 23, 2023 | ₹67.85 | ₹68.75 | ₹67.60 | ₹68.20 | 644 379 |
Nov 22, 2023 | ₹67.95 | ₹68.25 | ₹66.90 | ₹67.45 | 472 781 |
Nov 21, 2023 | ₹67.80 | ₹68.70 | ₹67.25 | ₹67.70 | 529 722 |
Nov 20, 2023 | ₹68.70 | ₹68.90 | ₹67.45 | ₹67.55 | 506 970 |
Nov 17, 2023 | ₹68.40 | ₹68.90 | ₹67.90 | ₹68.35 | 602 664 |
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 SPIC.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the SPIC.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 SPIC.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.