NSE:PRECAM
Precision Camshafts Limited Stock Price (Quote)
₹199.15
-1.60 (-0.797%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹190.35 | ₹218.90 | Friday, 17th May 2024 PRECAM.NS stock ended at ₹199.15. This is 0.797% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.09% from a day low at ₹198.40 to a day high of ₹202.55. |
90 days | ₹177.95 | ₹249.40 | |
52 weeks | ₹149.35 | ₹319.00 |
Date | Open | High | Low | Close | Volume |
Jul 27, 2023 | ₹240.00 | ₹254.95 | ₹235.50 | ₹246.60 | 585 168 |
Jul 26, 2023 | ₹233.45 | ₹241.95 | ₹233.40 | ₹238.30 | 156 460 |
Jul 25, 2023 | ₹235.70 | ₹243.70 | ₹231.00 | ₹233.70 | 288 938 |
Jul 24, 2023 | ₹247.80 | ₹248.85 | ₹232.35 | ₹234.55 | 253 621 |
Jul 21, 2023 | ₹242.10 | ₹249.60 | ₹240.55 | ₹245.85 | 301 219 |
Jul 20, 2023 | ₹253.95 | ₹253.95 | ₹242.10 | ₹243.25 | 314 597 |
Jul 19, 2023 | ₹248.05 | ₹257.65 | ₹246.30 | ₹250.75 | 663 267 |
Jul 18, 2023 | ₹262.35 | ₹264.95 | ₹241.80 | ₹250.70 | 1 635 057 |
Jul 17, 2023 | ₹242.00 | ₹262.80 | ₹233.05 | ₹260.85 | 4 032 595 |
Jul 14, 2023 | ₹189.00 | ₹219.00 | ₹188.70 | ₹219.00 | 2 553 248 |
Jul 13, 2023 | ₹184.25 | ₹186.90 | ₹178.00 | ₹182.50 | 198 108 |
Jul 12, 2023 | ₹187.95 | ₹189.75 | ₹184.00 | ₹184.95 | 157 641 |
Jul 11, 2023 | ₹190.70 | ₹193.50 | ₹185.85 | ₹186.45 | 228 948 |
Jul 10, 2023 | ₹176.50 | ₹191.05 | ₹176.10 | ₹187.85 | 384 313 |
Jul 07, 2023 | ₹182.50 | ₹185.70 | ₹171.55 | ₹176.50 | 340 400 |
Jul 06, 2023 | ₹185.80 | ₹187.95 | ₹180.65 | ₹181.50 | 105 261 |
Jul 05, 2023 | ₹182.00 | ₹188.05 | ₹181.25 | ₹184.90 | 147 492 |
Jul 04, 2023 | ₹187.00 | ₹190.30 | ₹180.50 | ₹182.70 | 210 778 |
Jul 03, 2023 | ₹189.15 | ₹191.65 | ₹186.00 | ₹186.60 | 140 735 |
Jun 30, 2023 | ₹191.35 | ₹193.90 | ₹186.00 | ₹187.75 | 181 412 |
Jun 29, 2023 | ₹194.00 | ₹194.00 | ₹194.00 | ₹194.00 | 0 |
Jun 27, 2023 | ₹194.40 | ₹197.50 | ₹190.50 | ₹194.00 | 241 038 |
Jun 26, 2023 | ₹182.00 | ₹195.00 | ₹179.05 | ₹192.30 | 296 295 |
Jun 23, 2023 | ₹190.05 | ₹191.80 | ₹177.10 | ₹182.15 | 385 330 |
Jun 22, 2023 | ₹195.95 | ₹196.65 | ₹189.20 | ₹190.30 | 282 214 |
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 PRECAM.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the PRECAM.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 PRECAM.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.