NSE:SRF
SRF Limited Stock Price (Quote)
₹2,416.75
-5.45 (-0.225%)
At Close: Jun 19, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹2,089.10 | ₹2,440.00 | Wednesday, 19th Jun 2024 SRF.NS stock ended at ₹2,416.75. This is 0.225% less than the trading day before Tuesday, 18th Jun 2024. During the day the stock fluctuated 2.09% from a day low at ₹2,390.00 to a day high of ₹2,440.00. |
90 days | ₹2,089.10 | ₹2,693.95 | |
52 weeks | ₹2,040.00 | ₹2,693.95 |
Historical SRF Limited prices
Date | Open | High | Low | Close | Volume |
Jun 19, 2024 | ₹2,432.95 | ₹2,440.00 | ₹2,390.00 | ₹2,416.75 | 434 070 |
Jun 18, 2024 | ₹2,402.00 | ₹2,431.25 | ₹2,385.00 | ₹2,422.20 | 223 088 |
Jun 14, 2024 | ₹2,410.20 | ₹2,414.20 | ₹2,390.05 | ₹2,402.00 | 405 127 |
Jun 13, 2024 | ₹2,384.00 | ₹2,408.00 | ₹2,372.25 | ₹2,399.90 | 610 940 |
Jun 12, 2024 | ₹2,327.85 | ₹2,373.05 | ₹2,320.05 | ₹2,365.90 | 965 738 |
Jun 11, 2024 | ₹2,369.00 | ₹2,372.50 | ₹2,325.00 | ₹2,327.70 | 329 662 |
Jun 10, 2024 | ₹2,322.00 | ₹2,369.90 | ₹2,295.60 | ₹2,354.65 | 747 564 |
Jun 07, 2024 | ₹2,255.00 | ₹2,316.95 | ₹2,238.05 | ₹2,312.30 | 508 878 |
Jun 06, 2024 | ₹2,299.95 | ₹2,312.00 | ₹2,279.00 | ₹2,296.55 | 304 780 |
Jun 05, 2024 | ₹2,195.05 | ₹2,302.95 | ₹2,191.30 | ₹2,295.05 | 433 920 |
Jun 04, 2024 | ₹2,274.20 | ₹2,274.20 | ₹2,089.10 | ₹2,193.55 | 543 968 |
Jun 03, 2024 | ₹2,251.60 | ₹2,272.00 | ₹2,216.70 | ₹2,265.55 | 412 018 |
May 31, 2024 | ₹2,228.70 | ₹2,234.15 | ₹2,182.45 | ₹2,211.35 | 1 407 534 |
May 30, 2024 | ₹2,231.00 | ₹2,242.75 | ₹2,214.05 | ₹2,223.10 | 372 538 |
May 29, 2024 | ₹2,261.05 | ₹2,281.85 | ₹2,235.00 | ₹2,239.00 | 424 639 |
May 28, 2024 | ₹2,319.90 | ₹2,324.90 | ₹2,270.50 | ₹2,280.00 | 351 810 |
May 27, 2024 | ₹2,289.15 | ₹2,318.10 | ₹2,289.15 | ₹2,309.90 | 314 522 |
May 24, 2024 | ₹2,310.00 | ₹2,326.80 | ₹2,280.20 | ₹2,289.10 | 210 715 |
May 23, 2024 | ₹2,298.60 | ₹2,309.50 | ₹2,272.55 | ₹2,305.45 | 278 406 |
May 22, 2024 | ₹2,298.00 | ₹2,308.00 | ₹2,273.00 | ₹2,293.95 | 301 549 |
May 21, 2024 | ₹2,275.60 | ₹2,299.80 | ₹2,265.15 | ₹2,285.40 | 451 169 |
May 20, 2024 | ₹2,280.35 | ₹2,280.35 | ₹2,280.35 | ₹2,280.35 | 0 |
May 17, 2024 | ₹2,278.00 | ₹2,287.45 | ₹2,258.55 | ₹2,280.35 | 321 452 |
May 16, 2024 | ₹2,300.00 | ₹2,309.90 | ₹2,253.15 | ₹2,270.75 | 512 100 |
May 15, 2024 | ₹2,300.00 | ₹2,319.00 | ₹2,282.10 | ₹2,288.20 | 680 565 |
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 SRF.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the SRF.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 SRF.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.