Bajaj Finance Limited Stock Price (Quote)
₹7,341.55
+46.60 (+0.639%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹6,375.70 | ₹7,370.00 | Friday, 14th Jun 2024 BAJFINANCE.NS stock ended at ₹7,341.55. This is 0.639% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 1.70% from a day low at ₹7,247.00 to a day high of ₹7,370.00. |
90 days | ₹6,375.70 | ₹7,419.45 | |
52 weeks | ₹6,187.80 | ₹8,192.00 |
Historical Bajaj Finance Limited prices
Date | Open | High | Low | Close | Volume |
Feb 26, 2024 | ₹6,690.00 | ₹6,708.00 | ₹6,624.20 | ₹6,643.25 | 891 889 |
Feb 23, 2024 | ₹6,674.00 | ₹6,719.00 | ₹6,632.60 | ₹6,697.85 | 1 280 126 |
Feb 22, 2024 | ₹6,691.05 | ₹6,706.85 | ₹6,561.00 | ₹6,674.95 | 1 022 158 |
Feb 21, 2024 | ₹6,790.00 | ₹6,790.00 | ₹6,665.05 | ₹6,688.80 | 854 636 |
Feb 20, 2024 | ₹6,711.90 | ₹6,792.00 | ₹6,681.25 | ₹6,763.60 | 1 106 568 |
Feb 19, 2024 | ₹6,648.90 | ₹6,806.90 | ₹6,625.30 | ₹6,712.80 | 1 315 808 |
Feb 16, 2024 | ₹6,650.05 | ₹6,660.00 | ₹6,602.00 | ₹6,619.20 | 1 029 326 |
Feb 15, 2024 | ₹6,646.00 | ₹6,677.40 | ₹6,585.65 | ₹6,619.40 | 880 717 |
Feb 14, 2024 | ₹6,563.85 | ₹6,656.00 | ₹6,550.00 | ₹6,646.50 | 635 715 |
Feb 13, 2024 | ₹6,600.00 | ₹6,639.00 | ₹6,553.10 | ₹6,603.65 | 947 941 |
Feb 12, 2024 | ₹6,669.45 | ₹6,671.85 | ₹6,551.50 | ₹6,569.15 | 544 406 |
Feb 09, 2024 | ₹6,580.00 | ₹6,677.70 | ₹6,572.00 | ₹6,654.50 | 1 209 789 |
Feb 08, 2024 | ₹6,731.85 | ₹6,737.50 | ₹6,536.70 | ₹6,575.65 | 2 193 126 |
Feb 07, 2024 | ₹6,641.00 | ₹6,737.60 | ₹6,625.25 | ₹6,709.20 | 1 538 146 |
Feb 06, 2024 | ₹6,648.00 | ₹6,699.00 | ₹6,535.00 | ₹6,598.15 | 2 438 446 |
Feb 05, 2024 | ₹6,894.00 | ₹6,895.00 | ₹6,600.00 | ₹6,608.20 | 1 770 655 |
Feb 02, 2024 | ₹6,755.00 | ₹6,910.00 | ₹6,753.00 | ₹6,848.30 | 1 367 286 |
Feb 01, 2024 | ₹6,865.90 | ₹6,879.95 | ₹6,733.00 | ₹6,743.30 | 1 910 792 |
Jan 31, 2024 | ₹6,820.00 | ₹6,921.00 | ₹6,812.00 | ₹6,862.90 | 1 810 113 |
Jan 30, 2024 | ₹6,988.50 | ₹6,988.50 | ₹6,805.00 | ₹6,817.20 | 4 152 146 |
Jan 29, 2024 | ₹7,085.50 | ₹7,224.95 | ₹7,085.10 | ₹7,191.65 | 1 860 169 |
Jan 25, 2024 | ₹7,055.30 | ₹7,125.80 | ₹7,036.00 | ₹7,085.50 | 1 168 344 |
Jan 24, 2024 | ₹7,104.00 | ₹7,104.00 | ₹6,996.80 | ₹7,055.30 | 2 063 675 |
Jan 23, 2024 | ₹7,352.90 | ₹7,355.00 | ₹7,042.60 | ₹7,070.70 | 2 533 297 |
Jan 22, 2024 | ₹7,319.10 | ₹7,319.10 | ₹7,319.10 | ₹7,319.10 | 0 |
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 BAJFINANCE.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the BAJFINANCE.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 BAJFINANCE.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.