Time Technoplast Limited Stock Price (Quote)
₹333.80
-1.00 (-0.299%)
At Close: Jul 03, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹244.30 | ₹352.25 | Wednesday, 3rd Jul 2024 TIMETECHNO.NS stock ended at ₹333.80. This is 0.299% less than the trading day before Tuesday, 2nd Jul 2024. During the day the stock fluctuated 2.93% from a day low at ₹329.05 to a day high of ₹338.70. |
90 days | ₹244.30 | ₹352.25 | |
52 weeks | ₹118.85 | ₹352.25 |
Historical Time Technoplast Limited prices
Date | Open | High | Low | Close | Volume |
Jul 03, 2024 | ₹335.35 | ₹338.70 | ₹329.05 | ₹333.80 | 627 997 |
Jul 02, 2024 | ₹333.90 | ₹338.20 | ₹324.60 | ₹334.80 | 1 087 180 |
Jul 01, 2024 | ₹322.95 | ₹335.90 | ₹322.40 | ₹332.30 | 1 090 680 |
Jun 28, 2024 | ₹329.80 | ₹333.05 | ₹321.00 | ₹322.40 | 1 463 447 |
Jun 27, 2024 | ₹334.95 | ₹336.50 | ₹324.00 | ₹328.35 | 1 396 003 |
Jun 26, 2024 | ₹343.95 | ₹349.00 | ₹331.40 | ₹333.50 | 2 663 549 |
Jun 25, 2024 | ₹338.95 | ₹339.05 | ₹328.15 | ₹331.30 | 1 312 001 |
Jun 24, 2024 | ₹337.10 | ₹348.80 | ₹331.20 | ₹337.05 | 3 275 134 |
Jun 21, 2024 | ₹327.75 | ₹352.25 | ₹318.60 | ₹337.30 | 17 084 329 |
Jun 20, 2024 | ₹299.85 | ₹303.75 | ₹295.05 | ₹297.25 | 974 928 |
Jun 19, 2024 | ₹300.80 | ₹301.80 | ₹292.25 | ₹297.05 | 1 240 218 |
Jun 18, 2024 | ₹308.20 | ₹310.40 | ₹300.10 | ₹300.80 | 1 153 325 |
Jun 14, 2024 | ₹307.50 | ₹314.95 | ₹302.05 | ₹306.20 | 4 063 281 |
Jun 13, 2024 | ₹298.80 | ₹309.00 | ₹297.10 | ₹306.90 | 3 032 187 |
Jun 12, 2024 | ₹286.90 | ₹308.00 | ₹286.00 | ₹295.55 | 4 254 564 |
Jun 11, 2024 | ₹285.40 | ₹290.90 | ₹283.95 | ₹285.70 | 1 173 554 |
Jun 10, 2024 | ₹284.00 | ₹293.50 | ₹280.55 | ₹283.75 | 1 180 342 |
Jun 07, 2024 | ₹277.25 | ₹284.80 | ₹274.20 | ₹280.85 | 1 153 190 |
Jun 06, 2024 | ₹268.80 | ₹280.35 | ₹268.80 | ₹278.25 | 1 086 518 |
Jun 05, 2024 | ₹265.50 | ₹274.70 | ₹254.45 | ₹268.15 | 1 249 549 |
Jun 04, 2024 | ₹289.95 | ₹289.95 | ₹244.30 | ₹264.65 | 2 243 294 |
Jun 03, 2024 | ₹290.00 | ₹290.00 | ₹280.40 | ₹287.65 | 1 704 979 |
May 31, 2024 | ₹268.00 | ₹279.70 | ₹268.00 | ₹275.50 | 3 968 139 |
May 30, 2024 | ₹272.00 | ₹272.90 | ₹263.25 | ₹265.65 | 902 275 |
May 29, 2024 | ₹271.05 | ₹273.75 | ₹267.00 | ₹272.20 | 1 329 025 |
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 TIMETECHNO.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the TIMETECHNO.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 TIMETECHNO.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.