Leading Leasing Finance And Investment Stock Price (Quote)
₹4.01
+0.360 (+9.86%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹2.03 | ₹4.01 | Friday, 17th May 2024 LLFICL.BO stock ended at ₹4.01. This is 9.86% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.93% from a day low at ₹3.75 to a day high of ₹4.01. |
90 days | ₹1.72 | ₹4.01 | |
52 weeks | ₹1.72 | ₹6.94 |
Date | Open | High | Low | Close | Volume |
Apr 08, 2024 | ₹2.35 | ₹2.35 | ₹2.20 | ₹2.23 | 119 646 |
Apr 05, 2024 | ₹2.36 | ₹2.36 | ₹2.22 | ₹2.32 | 265 660 |
Apr 04, 2024 | ₹2.26 | ₹2.43 | ₹2.12 | ₹2.25 | 1 355 220 |
Apr 03, 2024 | ₹2.08 | ₹2.22 | ₹2.01 | ₹2.22 | 229 800 |
Apr 02, 2024 | ₹2.02 | ₹2.05 | ₹1.88 | ₹2.02 | 317 406 |
Apr 01, 2024 | ₹1.96 | ₹1.96 | ₹1.86 | ₹1.92 | 115 921 |
Mar 28, 2024 | ₹1.84 | ₹1.93 | ₹1.72 | ₹1.85 | 183 075 |
Mar 27, 2024 | ₹1.82 | ₹1.92 | ₹1.72 | ₹1.80 | 119 059 |
Mar 26, 2024 | ₹1.95 | ₹1.99 | ₹1.82 | ₹1.86 | 363 194 |
Mar 22, 2024 | ₹1.92 | ₹1.96 | ₹1.85 | ₹1.89 | 736 106 |
Mar 21, 2024 | ₹1.90 | ₹1.97 | ₹1.88 | ₹1.92 | 610 146 |
Mar 20, 2024 | ₹2.04 | ₹2.04 | ₹1.81 | ₹1.86 | 233 219 |
Mar 19, 2024 | ₹1.87 | ₹1.92 | ₹1.85 | ₹1.89 | 788 512 |
Mar 18, 2024 | ₹2.03 | ₹2.03 | ₹1.83 | ₹1.87 | 811 742 |
Mar 15, 2024 | ₹2.36 | ₹2.36 | ₹1.98 | ₹1.98 | 1 478 517 |
Mar 14, 2024 | ₹2.06 | ₹2.29 | ₹2.06 | ₹2.20 | 617 311 |
Mar 13, 2024 | ₹2.29 | ₹2.32 | ₹2.07 | ₹2.16 | 1 042 925 |
Mar 12, 2024 | ₹2.28 | ₹2.32 | ₹2.22 | ₹2.25 | 185 699 |
Mar 11, 2024 | ₹2.53 | ₹2.53 | ₹2.21 | ₹2.24 | 917 107 |
Mar 07, 2024 | ₹2.28 | ₹2.45 | ₹2.23 | ₹2.45 | 1 106 073 |
Mar 06, 2024 | ₹2.43 | ₹2.43 | ₹2.21 | ₹2.23 | 432 819 |
Mar 05, 2024 | ₹2.30 | ₹2.41 | ₹2.30 | ₹2.38 | 138 922 |
Mar 04, 2024 | ₹2.31 | ₹2.41 | ₹2.31 | ₹2.32 | 48 786 |
Mar 01, 2024 | ₹2.35 | ₹2.48 | ₹2.13 | ₹2.37 | 192 401 |
Feb 29, 2024 | ₹2.35 | ₹2.42 | ₹2.33 | ₹2.35 | 100 560 |
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 LLFICL.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the LLFICL.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 LLFICL.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.