XBOM:KPITTECH
KPIT Technologies Ltd Stock Price (Quote)
₹1,456.60
-13.90 (-0.95%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1,422.65 | ₹1,615.95 | Friday, 31st May 2024 KPITTECH.BO stock ended at ₹1,456.60. This is 0.95% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.67% from a day low at ₹1,441.05 to a day high of ₹1,494.00. |
90 days | ₹1,329.00 | ₹1,615.95 | |
52 weeks | ₹961.00 | ₹1,764.00 |
Historical KPIT Technologies Ltd prices
Date | Open | High | Low | Close | Volume |
Mar 09, 2022 | ₹561.00 | ₹581.40 | ₹555.00 | ₹577.20 | 212 442 |
Mar 08, 2022 | ₹546.50 | ₹559.00 | ₹535.00 | ₹554.10 | 240 974 |
Mar 07, 2022 | ₹532.60 | ₹560.95 | ₹527.40 | ₹543.50 | 252 990 |
Mar 04, 2022 | ₹565.00 | ₹565.00 | ₹544.20 | ₹546.45 | 99 918 |
Mar 03, 2022 | ₹577.85 | ₹579.80 | ₹564.20 | ₹567.05 | 141 836 |
Mar 02, 2022 | ₹563.30 | ₹580.00 | ₹558.30 | ₹564.00 | 198 527 |
Feb 28, 2022 | ₹569.95 | ₹574.55 | ₹550.00 | ₹568.65 | 62 917 |
Feb 25, 2022 | ₹567.55 | ₹589.00 | ₹554.15 | ₹566.00 | 94 592 |
Feb 24, 2022 | ₹533.00 | ₹564.20 | ₹533.00 | ₹543.25 | 134 105 |
Feb 23, 2022 | ₹580.90 | ₹605.00 | ₹568.00 | ₹570.70 | 79 365 |
Feb 22, 2022 | ₹522.10 | ₹578.00 | ₹510.30 | ₹571.25 | 189 553 |
Feb 21, 2022 | ₹553.35 | ₹558.00 | ₹531.35 | ₹540.50 | 101 573 |
Feb 18, 2022 | ₹567.00 | ₹572.45 | ₹557.90 | ₹560.85 | 160 425 |
Feb 17, 2022 | ₹593.05 | ₹600.00 | ₹575.00 | ₹577.60 | 150 033 |
Feb 16, 2022 | ₹594.65 | ₹607.95 | ₹585.40 | ₹592.55 | 271 760 |
Feb 15, 2022 | ₹547.60 | ₹583.70 | ₹533.00 | ₹578.20 | 299 246 |
Feb 14, 2022 | ₹540.00 | ₹565.40 | ₹537.00 | ₹539.85 | 439 605 |
Feb 11, 2022 | ₹601.00 | ₹603.45 | ₹576.10 | ₹578.35 | 92 105 |
Feb 10, 2022 | ₹609.75 | ₹612.40 | ₹600.30 | ₹607.85 | 80 447 |
Feb 09, 2022 | ₹618.70 | ₹622.90 | ₹604.30 | ₹606.55 | 63 762 |
Feb 08, 2022 | ₹624.00 | ₹632.10 | ₹605.25 | ₹613.80 | 171 244 |
Feb 07, 2022 | ₹618.00 | ₹638.15 | ₹618.00 | ₹626.80 | 64 349 |
Feb 04, 2022 | ₹625.00 | ₹630.00 | ₹615.55 | ₹623.40 | 54 453 |
Feb 03, 2022 | ₹630.00 | ₹635.15 | ₹620.00 | ₹621.35 | 71 355 |
Feb 02, 2022 | ₹637.95 | ₹653.10 | ₹627.00 | ₹629.55 | 124 409 |
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 KPITTECH.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the KPITTECH.BO 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 KPITTECH.BO 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.