Bajaj Finance Limited Stock Price (Quote)
₹7,074.45
-7.40 (-0.104%)
At Close: Jun 25, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹6,375.70 | ₹7,429.45 | Tuesday, 25th Jun 2024 BAJFINANCE.NS stock ended at ₹7,074.45. This is 0.104% less than the trading day before Monday, 24th Jun 2024. During the day the stock fluctuated 2.03% from a day low at ₹6,998.00 to a day high of ₹7,140.00. |
90 days | ₹6,375.70 | ₹7,429.45 | |
52 weeks | ₹6,187.80 | ₹8,192.00 |
Historical Bajaj Finance Limited prices
Date | Open | High | Low | Close | Volume |
Nov 17, 2023 | ₹7,140.50 | ₹7,260.00 | ₹7,108.05 | ₹7,221.00 | 2 079 730 |
Nov 16, 2023 | ₹6,944.55 | ₹7,380.70 | ₹6,931.25 | ₹7,362.45 | 4 556 899 |
Nov 15, 2023 | ₹7,439.40 | ₹7,476.20 | ₹7,119.15 | ₹7,224.30 | 1 922 419 |
Nov 13, 2023 | ₹7,447.80 | ₹7,450.00 | ₹7,319.00 | ₹7,360.85 | 732 135 |
Nov 10, 2023 | ₹7,370.00 | ₹7,454.00 | ₹7,346.45 | ₹7,444.80 | 496 155 |
Nov 09, 2023 | ₹7,485.00 | ₹7,485.00 | ₹7,366.70 | ₹7,386.70 | 771 574 |
Nov 08, 2023 | ₹7,527.00 | ₹7,536.00 | ₹7,406.65 | ₹7,459.95 | 916 359 |
Nov 07, 2023 | ₹7,640.00 | ₹7,640.00 | ₹7,446.00 | ₹7,495.60 | 1 562 778 |
Nov 06, 2023 | ₹7,456.00 | ₹7,571.95 | ₹7,442.60 | ₹7,562.05 | 633 987 |
Nov 03, 2023 | ₹7,528.00 | ₹7,537.95 | ₹7,372.45 | ₹7,411.50 | 1 138 389 |
Nov 02, 2023 | ₹7,530.00 | ₹7,615.00 | ₹7,411.20 | ₹7,449.10 | 854 886 |
Nov 01, 2023 | ₹7,520.00 | ₹7,549.00 | ₹7,457.65 | ₹7,471.90 | 462 302 |
Oct 31, 2023 | ₹7,569.80 | ₹7,579.70 | ₹7,460.50 | ₹7,492.65 | 749 383 |
Oct 30, 2023 | ₹7,505.80 | ₹7,526.85 | ₹7,352.50 | ₹7,503.05 | 799 228 |
Oct 27, 2023 | ₹7,509.95 | ₹7,549.00 | ₹7,416.60 | ₹7,507.20 | 911 280 |
Oct 26, 2023 | ₹7,625.10 | ₹7,656.00 | ₹7,401.20 | ₹7,421.80 | 1 323 190 |
Oct 25, 2023 | ₹7,798.90 | ₹7,856.95 | ₹7,676.00 | ₹7,694.45 | 708 431 |
Oct 23, 2023 | ₹7,800.00 | ₹7,884.90 | ₹7,761.35 | ₹7,798.90 | 881 606 |
Oct 20, 2023 | ₹7,810.00 | ₹7,832.35 | ₹7,722.50 | ₹7,769.20 | 770 774 |
Oct 19, 2023 | ₹7,843.30 | ₹7,923.00 | ₹7,731.00 | ₹7,841.55 | 1 061 191 |
Oct 18, 2023 | ₹8,050.00 | ₹8,084.60 | ₹7,850.00 | ₹7,866.55 | 1 544 097 |
Oct 17, 2023 | ₹8,080.00 | ₹8,159.00 | ₹8,057.55 | ₹8,093.00 | 837 001 |
Oct 16, 2023 | ₹8,044.30 | ₹8,069.00 | ₹7,982.65 | ₹8,036.00 | 438 115 |
Oct 13, 2023 | ₹7,999.55 | ₹8,082.90 | ₹7,956.05 | ₹8,051.65 | 662 221 |
Oct 12, 2023 | ₹8,125.00 | ₹8,127.00 | ₹8,003.00 | ₹8,014.30 | 763 982 |
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.