NSE:NDTV
New Delhi Television Limited Stock Price (Quote)
₹228.90
+7.35 (+3.32%)
At Close: Jun 06, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹202.55 | ₹273.00 | Thursday, 6th Jun 2024 NDTV.NS stock ended at ₹228.90. This is 3.32% more than the trading day before Wednesday, 5th Jun 2024. During the day the stock fluctuated 3.92% from a day low at ₹225.95 to a day high of ₹234.80. |
90 days | ₹202.55 | ₹273.00 | |
52 weeks | ₹186.05 | ₹307.85 |
Historical New Delhi Television Limited prices
Date | Open | High | Low | Close | Volume |
Sep 22, 2023 | ₹216.45 | ₹217.00 | ₹213.25 | ₹215.25 | 115 978 |
Sep 21, 2023 | ₹216.70 | ₹218.55 | ₹215.00 | ₹215.50 | 135 170 |
Sep 20, 2023 | ₹216.95 | ₹219.20 | ₹214.00 | ₹216.70 | 219 366 |
Sep 18, 2023 | ₹220.95 | ₹221.40 | ₹217.25 | ₹217.80 | 140 394 |
Sep 15, 2023 | ₹221.70 | ₹223.20 | ₹218.55 | ₹219.65 | 221 997 |
Sep 14, 2023 | ₹220.25 | ₹222.45 | ₹218.05 | ₹220.00 | 260 431 |
Sep 13, 2023 | ₹217.00 | ₹221.50 | ₹214.00 | ₹218.50 | 321 361 |
Sep 12, 2023 | ₹226.50 | ₹227.95 | ₹215.30 | ₹217.15 | 583 507 |
Sep 11, 2023 | ₹214.45 | ₹234.20 | ₹213.00 | ₹224.45 | 2 488 824 |
Sep 08, 2023 | ₹212.90 | ₹214.95 | ₹211.90 | ₹212.95 | 252 710 |
Sep 07, 2023 | ₹215.00 | ₹216.00 | ₹211.50 | ₹212.00 | 313 807 |
Sep 06, 2023 | ₹214.50 | ₹217.00 | ₹213.50 | ₹214.45 | 189 781 |
Sep 05, 2023 | ₹216.30 | ₹217.10 | ₹213.50 | ₹214.45 | 190 157 |
Sep 04, 2023 | ₹217.50 | ₹218.50 | ₹213.60 | ₹214.55 | 283 852 |
Sep 01, 2023 | ₹214.15 | ₹216.90 | ₹210.80 | ₹215.80 | 313 779 |
Aug 31, 2023 | ₹219.90 | ₹220.50 | ₹213.30 | ₹214.30 | 365 658 |
Aug 30, 2023 | ₹221.80 | ₹224.20 | ₹218.00 | ₹219.10 | 265 832 |
Aug 29, 2023 | ₹221.95 | ₹223.10 | ₹219.70 | ₹220.15 | 179 638 |
Aug 28, 2023 | ₹222.00 | ₹223.90 | ₹219.50 | ₹220.60 | 193 194 |
Aug 25, 2023 | ₹222.50 | ₹224.40 | ₹220.20 | ₹220.65 | 235 817 |
Aug 24, 2023 | ₹224.45 | ₹226.60 | ₹223.40 | ₹223.75 | 201 034 |
Aug 23, 2023 | ₹227.05 | ₹232.00 | ₹222.70 | ₹223.45 | 665 851 |
Aug 22, 2023 | ₹228.70 | ₹232.20 | ₹225.25 | ₹227.05 | 356 438 |
Aug 21, 2023 | ₹225.35 | ₹230.00 | ₹224.00 | ₹227.80 | 411 032 |
Aug 18, 2023 | ₹221.70 | ₹232.50 | ₹221.35 | ₹224.40 | 1 212 562 |
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 NDTV.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the NDTV.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 NDTV.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.