HCL Technologies Limited Stock Price (Quote)
₹1,341.90
+8.70 (+0.653%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1,301.65 | ₹1,531.45 | Tuesday, 21st May 2024 HCLTECH.NS stock ended at ₹1,341.90. This is 0.653% more than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 2.73% from a day low at ₹1,314.00 to a day high of ₹1,349.85. |
90 days | ₹1,301.65 | ₹1,697.35 | |
52 weeks | ₹1,087.05 | ₹1,697.35 |
Date | Open | High | Low | Close | Volume |
May 21, 2024 | ₹1,314.00 | ₹1,349.85 | ₹1,314.00 | ₹1,341.90 | 4 966 216 |
May 20, 2024 | ₹1,333.20 | ₹1,333.20 | ₹1,333.20 | ₹1,333.20 | 0 |
May 17, 2024 | ₹1,351.00 | ₹1,351.00 | ₹1,330.20 | ₹1,333.20 | 2 485 561 |
May 16, 2024 | ₹1,345.00 | ₹1,357.80 | ₹1,328.50 | ₹1,348.15 | 5 055 106 |
May 15, 2024 | ₹1,319.25 | ₹1,340.30 | ₹1,318.25 | ₹1,332.90 | 2 975 420 |
May 14, 2024 | ₹1,322.00 | ₹1,326.95 | ₹1,308.70 | ₹1,321.05 | 3 200 037 |
May 13, 2024 | ₹1,316.20 | ₹1,321.90 | ₹1,301.65 | ₹1,312.90 | 2 316 388 |
May 10, 2024 | ₹1,320.10 | ₹1,321.45 | ₹1,303.60 | ₹1,316.20 | 3 356 965 |
May 09, 2024 | ₹1,315.00 | ₹1,339.00 | ₹1,314.50 | ₹1,320.05 | 5 652 358 |
May 08, 2024 | ₹1,330.95 | ₹1,334.00 | ₹1,307.30 | ₹1,313.65 | 6 831 883 |
May 07, 2024 | ₹1,347.95 | ₹1,348.90 | ₹1,326.15 | ₹1,330.95 | 5 094 883 |
May 06, 2024 | ₹1,358.00 | ₹1,365.00 | ₹1,348.50 | ₹1,358.80 | 2 503 279 |
May 03, 2024 | ₹1,370.00 | ₹1,370.00 | ₹1,333.55 | ₹1,348.05 | 5 963 446 |
May 02, 2024 | ₹1,358.00 | ₹1,377.90 | ₹1,358.00 | ₹1,360.70 | 6 554 941 |
May 01, 2024 | ₹1,366.60 | ₹1,366.60 | ₹1,366.60 | ₹1,366.60 | 0 |
Apr 30, 2024 | ₹1,376.40 | ₹1,397.90 | ₹1,362.45 | ₹1,366.60 | 7 604 976 |
Apr 29, 2024 | ₹1,415.00 | ₹1,436.00 | ₹1,381.00 | ₹1,387.40 | 11 491 408 |
Apr 26, 2024 | ₹1,516.85 | ₹1,531.45 | ₹1,464.95 | ₹1,473.85 | 4 327 986 |
Apr 25, 2024 | ₹1,479.95 | ₹1,515.05 | ₹1,479.95 | ₹1,504.15 | 4 556 721 |
Apr 24, 2024 | ₹1,490.00 | ₹1,496.95 | ₹1,476.30 | ₹1,479.25 | 1 321 468 |
Apr 23, 2024 | ₹1,474.90 | ₹1,501.45 | ₹1,471.10 | ₹1,486.65 | 2 783 576 |
Apr 22, 2024 | ₹1,452.20 | ₹1,473.30 | ₹1,450.50 | ₹1,465.90 | 1 939 618 |
Apr 19, 2024 | ₹1,442.00 | ₹1,455.50 | ₹1,435.00 | ₹1,447.50 | 5 219 133 |
Apr 18, 2024 | ₹1,477.05 | ₹1,480.90 | ₹1,452.10 | ₹1,466.85 | 5 179 900 |
Apr 16, 2024 | ₹1,486.35 | ₹1,501.60 | ₹1,467.30 | ₹1,477.30 | 2 446 481 |
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 HCLTECH.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the HCLTECH.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 HCLTECH.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.