Sarla Performance Fibers Limited Stock Price (Quote)
₹103.34
+5.00 (+5.08%)
At Close: Jun 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹74.85 | ₹108.00 | Friday, 28th Jun 2024 SARLAPOLY.NS stock ended at ₹103.34. This is 5.08% more than the trading day before Thursday, 27th Jun 2024. During the day the stock fluctuated 9.37% from a day low at ₹98.75 to a day high of ₹108.00. |
90 days | ₹53.40 | ₹108.00 | |
52 weeks | ₹44.25 | ₹108.00 |
Historical Sarla Performance Fibers Limited prices
Date | Open | High | Low | Close | Volume |
Jun 28, 2024 | ₹102.60 | ₹108.00 | ₹98.75 | ₹103.34 | 4 107 977 |
Jun 27, 2024 | ₹105.10 | ₹106.08 | ₹97.01 | ₹98.34 | 2 558 178 |
Jun 26, 2024 | ₹96.44 | ₹105.00 | ₹95.31 | ₹104.15 | 6 472 752 |
Jun 25, 2024 | ₹97.59 | ₹99.42 | ₹95.00 | ₹96.00 | 1 063 193 |
Jun 24, 2024 | ₹90.70 | ₹99.50 | ₹90.32 | ₹97.09 | 4 033 684 |
Jun 21, 2024 | ₹94.45 | ₹94.89 | ₹89.00 | ₹90.82 | 723 045 |
Jun 20, 2024 | ₹92.95 | ₹94.90 | ₹92.00 | ₹94.16 | 649 910 |
Jun 19, 2024 | ₹94.70 | ₹94.90 | ₹87.10 | ₹92.35 | 1 461 229 |
Jun 18, 2024 | ₹97.40 | ₹99.09 | ₹93.36 | ₹93.98 | 1 067 449 |
Jun 14, 2024 | ₹98.65 | ₹100.12 | ₹95.51 | ₹96.73 | 1 119 910 |
Jun 13, 2024 | ₹99.49 | ₹102.00 | ₹96.07 | ₹98.04 | 2 019 080 |
Jun 12, 2024 | ₹89.70 | ₹102.00 | ₹89.30 | ₹98.49 | 12 245 223 |
Jun 11, 2024 | ₹88.30 | ₹89.60 | ₹86.55 | ₹88.71 | 591 076 |
Jun 10, 2024 | ₹87.50 | ₹89.75 | ₹85.55 | ₹88.23 | 1 027 672 |
Jun 07, 2024 | ₹87.00 | ₹89.65 | ₹85.40 | ₹86.45 | 820 335 |
Jun 06, 2024 | ₹84.00 | ₹87.95 | ₹82.75 | ₹85.70 | 759 587 |
Jun 05, 2024 | ₹77.00 | ₹82.60 | ₹75.00 | ₹81.70 | 677 074 |
Jun 04, 2024 | ₹83.00 | ₹83.00 | ₹74.85 | ₹78.00 | 1 013 509 |
Jun 03, 2024 | ₹82.00 | ₹84.70 | ₹80.25 | ₹83.15 | 765 485 |
May 31, 2024 | ₹81.60 | ₹83.60 | ₹79.10 | ₹80.25 | 1 116 802 |
May 30, 2024 | ₹89.00 | ₹89.00 | ₹83.60 | ₹83.85 | 692 231 |
May 29, 2024 | ₹80.90 | ₹89.00 | ₹80.00 | ₹88.70 | 1 313 228 |
May 28, 2024 | ₹84.00 | ₹85.20 | ₹80.75 | ₹81.35 | 759 631 |
May 27, 2024 | ₹83.60 | ₹90.00 | ₹80.45 | ₹84.20 | 1 774 978 |
May 24, 2024 | ₹87.60 | ₹88.30 | ₹82.45 | ₹83.15 | 725 071 |
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 SARLAPOLY.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the SARLAPOLY.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 SARLAPOLY.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.