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Range Low Price High Price Comment
30 days ₹6.53 ₹8.29 Friday, 28th Jun 2024 ZEELEARN.BO stock ended at ₹7.78. This is 1.57% more than the trading day before Thursday, 27th Jun 2024. During the day the stock fluctuated 0.386% from a day low at ₹7.78 to a day high of ₹7.81.
90 days ₹5.62 ₹8.29
52 weeks ₹2.67 ₹9.78

Historical Zee Learn Limited prices

Date Open High Low Close Volume
Jun 28, 2024 ₹7.81 ₹7.81 ₹7.78 ₹7.78 120 691
Jun 27, 2024 ₹7.80 ₹7.80 ₹7.65 ₹7.66 179 406
Jun 26, 2024 ₹7.79 ₹8.00 ₹7.79 ₹7.80 150 647
Jun 25, 2024 ₹7.99 ₹7.99 ₹7.94 ₹7.94 93 087
Jun 24, 2024 ₹8.16 ₹8.16 ₹8.00 ₹8.10 162 552
Jun 21, 2024 ₹8.29 ₹8.29 ₹8.00 ₹8.00 405 861
Jun 20, 2024 ₹8.13 ₹8.13 ₹8.13 ₹8.13 553 154
Jun 19, 2024 ₹7.98 ₹7.98 ₹7.98 ₹7.98 293 512
Jun 18, 2024 ₹7.83 ₹7.83 ₹7.83 ₹7.83 103 090
Jun 14, 2024 ₹7.68 ₹7.68 ₹7.68 ₹7.68 47 640
Jun 13, 2024 ₹7.53 ₹7.53 ₹7.53 ₹7.53 51 723
Jun 12, 2024 ₹7.30 ₹7.39 ₹7.30 ₹7.39 109 175
Jun 11, 2024 ₹7.25 ₹7.25 ₹7.25 ₹7.25 150 788
Jun 10, 2024 ₹7.26 ₹7.40 ₹7.26 ₹7.26 170 492
Jun 07, 2024 ₹7.40 ₹7.40 ₹7.40 ₹7.40 168 268
Jun 06, 2024 ₹7.26 ₹7.26 ₹7.26 ₹7.26 112 603
Jun 05, 2024 ₹7.12 ₹7.12 ₹7.12 ₹7.12 807 682
Jun 04, 2024 ₹7.91 ₹7.91 ₹7.17 ₹7.26 3 847 531
Jun 03, 2024 ₹7.54 ₹7.54 ₹7.54 ₹7.54 1 536 333
May 31, 2024 ₹7.19 ₹7.19 ₹7.19 ₹7.19 289 064
May 30, 2024 ₹6.85 ₹6.85 ₹6.85 ₹6.85 60 227
May 29, 2024 ₹6.53 ₹6.53 ₹6.53 ₹6.53 52 905
May 28, 2024 ₹6.31 ₹6.48 ₹6.10 ₹6.22 103 564
May 27, 2024 ₹6.47 ₹6.60 ₹6.11 ₹6.18 96 393
May 24, 2024 ₹6.25 ₹6.53 ₹6.25 ₹6.41 264 350

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.

How can I use ZEELEARN.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the ZEELEARN.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.

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.

Why do the ZEELEARN.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.
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