Cigniti Technologies Ltd Stock Price (Quote)
₹1,325.50
+0 (+0%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1,230.00 | ₹1,384.00 | Monday, 20th May 2024 CIGNITITEC.NS stock ended at ₹1,325.50. During the day the stock fluctuated 0% from a day low at ₹1,325.50 to a day high of ₹1,325.50. |
90 days | ₹999.90 | ₹1,384.00 | |
52 weeks | ₹758.05 | ₹1,384.00 |
Date | Open | High | Low | Close | Volume |
May 20, 2024 | ₹1,325.50 | ₹1,325.50 | ₹1,325.50 | ₹1,325.50 | 0 |
May 17, 2024 | ₹1,301.00 | ₹1,337.00 | ₹1,301.00 | ₹1,325.50 | 224 989 |
May 16, 2024 | ₹1,306.00 | ₹1,312.95 | ₹1,300.00 | ₹1,300.50 | 91 542 |
May 15, 2024 | ₹1,299.50 | ₹1,313.25 | ₹1,299.50 | ₹1,304.30 | 111 984 |
May 14, 2024 | ₹1,299.90 | ₹1,303.00 | ₹1,290.40 | ₹1,299.50 | 112 612 |
May 13, 2024 | ₹1,316.00 | ₹1,316.00 | ₹1,285.00 | ₹1,291.15 | 114 279 |
May 10, 2024 | ₹1,292.00 | ₹1,304.50 | ₹1,292.00 | ₹1,301.50 | 183 692 |
May 09, 2024 | ₹1,312.50 | ₹1,317.65 | ₹1,294.00 | ₹1,297.45 | 195 234 |
May 08, 2024 | ₹1,308.20 | ₹1,321.25 | ₹1,304.00 | ₹1,312.10 | 166 270 |
May 07, 2024 | ₹1,322.00 | ₹1,334.60 | ₹1,301.00 | ₹1,308.25 | 464 982 |
May 06, 2024 | ₹1,330.00 | ₹1,334.00 | ₹1,310.00 | ₹1,329.80 | 513 445 |
May 03, 2024 | ₹1,378.05 | ₹1,382.40 | ₹1,320.00 | ₹1,323.00 | 1 584 551 |
May 02, 2024 | ₹1,323.00 | ₹1,384.00 | ₹1,302.00 | ₹1,373.05 | 1 108 645 |
May 01, 2024 | ₹1,338.65 | ₹1,338.65 | ₹1,338.65 | ₹1,338.65 | 0 |
Apr 30, 2024 | ₹1,325.75 | ₹1,347.95 | ₹1,314.85 | ₹1,338.65 | 281 275 |
Apr 29, 2024 | ₹1,324.90 | ₹1,338.25 | ₹1,309.00 | ₹1,319.15 | 225 418 |
Apr 26, 2024 | ₹1,240.05 | ₹1,315.40 | ₹1,240.05 | ₹1,301.45 | 391 619 |
Apr 25, 2024 | ₹1,250.00 | ₹1,260.40 | ₹1,230.00 | ₹1,240.05 | 125 849 |
Apr 24, 2024 | ₹1,262.95 | ₹1,274.45 | ₹1,239.00 | ₹1,248.85 | 184 234 |
Apr 23, 2024 | ₹1,273.70 | ₹1,293.40 | ₹1,251.25 | ₹1,262.35 | 263 854 |
Apr 22, 2024 | ₹1,243.20 | ₹1,275.00 | ₹1,238.85 | ₹1,262.45 | 133 959 |
Apr 19, 2024 | ₹1,182.00 | ₹1,246.95 | ₹1,182.00 | ₹1,225.55 | 199 946 |
Apr 18, 2024 | ₹1,274.00 | ₹1,274.00 | ₹1,221.00 | ₹1,230.55 | 154 012 |
Apr 16, 2024 | ₹1,247.10 | ₹1,291.90 | ₹1,230.00 | ₹1,262.45 | 259 593 |
Apr 15, 2024 | ₹1,239.60 | ₹1,282.00 | ₹1,205.05 | ₹1,275.05 | 182 687 |
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 CIGNITITEC.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the CIGNITITEC.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 CIGNITITEC.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.