NSE:CPSEETF
RELIANCE MF CPSE ETF (RGESS)/ETF Stock Price (Quote)
₹88.70
+0 (+0%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹82.70 | ₹89.90 | Monday, 20th May 2024 CPSEETF.NS stock ended at ₹88.70. During the day the stock fluctuated 0% from a day low at ₹88.70 to a day high of ₹88.70. |
90 days | ₹73.71 | ₹89.90 | |
52 weeks | ₹41.10 | ₹89.90 |
Date | Open | High | Low | Close | Volume |
May 20, 2024 | ₹88.70 | ₹88.70 | ₹88.70 | ₹88.70 | 0 |
May 17, 2024 | ₹88.48 | ₹89.03 | ₹85.10 | ₹88.70 | 3 902 413 |
May 16, 2024 | ₹88.00 | ₹88.00 | ₹86.14 | ₹87.72 | 4 834 323 |
May 15, 2024 | ₹86.74 | ₹87.55 | ₹86.03 | ₹87.45 | 3 231 974 |
May 14, 2024 | ₹86.40 | ₹86.40 | ₹84.52 | ₹86.01 | 2 312 129 |
May 13, 2024 | ₹87.60 | ₹87.60 | ₹82.70 | ₹84.52 | 5 061 616 |
May 10, 2024 | ₹84.10 | ₹85.45 | ₹83.34 | ₹85.07 | 4 884 176 |
May 09, 2024 | ₹86.29 | ₹86.89 | ₹83.48 | ₹83.76 | 8 632 080 |
May 08, 2024 | ₹86.00 | ₹87.00 | ₹84.19 | ₹86.29 | 4 821 785 |
May 07, 2024 | ₹87.00 | ₹88.80 | ₹84.71 | ₹84.99 | 4 899 820 |
May 06, 2024 | ₹89.65 | ₹89.90 | ₹86.00 | ₹87.28 | 5 654 309 |
May 03, 2024 | ₹88.50 | ₹89.70 | ₹87.64 | ₹88.67 | 5 304 853 |
May 02, 2024 | ₹87.37 | ₹88.48 | ₹86.62 | ₹88.13 | 3 662 996 |
May 01, 2024 | ₹86.92 | ₹86.92 | ₹86.92 | ₹86.92 | 0 |
Apr 30, 2024 | ₹87.37 | ₹87.37 | ₹86.43 | ₹86.92 | 2 384 208 |
Apr 29, 2024 | ₹87.00 | ₹87.70 | ₹86.14 | ₹86.47 | 3 297 480 |
Apr 26, 2024 | ₹85.84 | ₹86.74 | ₹85.84 | ₹86.31 | 4 390 604 |
Apr 25, 2024 | ₹85.10 | ₹85.96 | ₹84.51 | ₹85.84 | 2 843 979 |
Apr 24, 2024 | ₹84.90 | ₹85.10 | ₹83.90 | ₹84.95 | 3 391 607 |
Apr 23, 2024 | ₹85.95 | ₹85.95 | ₹83.37 | ₹84.00 | 2 211 111 |
Apr 22, 2024 | ₹84.95 | ₹84.95 | ₹83.10 | ₹83.47 | 2 558 345 |
Apr 19, 2024 | ₹84.55 | ₹84.55 | ₹81.73 | ₹83.26 | 1 990 159 |
Apr 18, 2024 | ₹85.00 | ₹85.65 | ₹82.93 | ₹83.28 | 3 624 003 |
Apr 16, 2024 | ₹85.38 | ₹85.38 | ₹83.02 | ₹84.55 | 2 783 049 |
Apr 15, 2024 | ₹84.06 | ₹84.91 | ₹80.00 | ₹84.13 | 8 398 128 |
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 CPSEETF.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the CPSEETF.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 CPSEETF.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.