₹607.75
-8.45 (-1.37%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹595.25 | ₹683.80 | Tuesday, 18th Nov 2025 TANLA.NS stock ended at ₹607.75. This is 1.37% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 1.53% from a day low at ₹606.75 to a day high of ₹616.05. |
| 90 days | ₹595.25 | ₹766.00 | |
| 52 weeks | ₹409.35 | ₹794.40 |
Historical Tanla Solutions Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ₹616.00 | ₹616.05 | ₹606.75 | ₹607.75 | 165 011 |
| Nov 17, 2025 | ₹613.45 | ₹619.40 | ₹611.10 | ₹616.20 | 197 750 |
| Nov 14, 2025 | ₹614.00 | ₹614.95 | ₹607.40 | ₹610.55 | 152 933 |
| Nov 13, 2025 | ₹619.50 | ₹624.45 | ₹613.15 | ₹614.40 | 226 205 |
| Nov 12, 2025 | ₹613.45 | ₹623.90 | ₹613.00 | ₹619.70 | 306 714 |
| Nov 11, 2025 | ₹613.00 | ₹616.90 | ₹605.30 | ₹613.40 | 261 279 |
| Nov 10, 2025 | ₹614.00 | ₹618.95 | ₹608.20 | ₹610.35 | 219 348 |
| Nov 07, 2025 | ₹606.00 | ₹614.00 | ₹595.25 | ₹611.85 | 330 317 |
| Nov 06, 2025 | ₹621.60 | ₹623.80 | ₹605.15 | ₹606.40 | 285 296 |
| Nov 04, 2025 | ₹624.00 | ₹636.00 | ₹620.00 | ₹621.60 | 496 547 |
| Nov 03, 2025 | ₹610.55 | ₹625.20 | ₹610.35 | ₹623.90 | 361 266 |
| Oct 31, 2025 | ₹623.60 | ₹623.60 | ₹610.00 | ₹610.55 | 284 187 |
| Oct 30, 2025 | ₹619.00 | ₹622.40 | ₹613.10 | ₹619.25 | 324 602 |
| Oct 29, 2025 | ₹607.35 | ₹623.85 | ₹603.90 | ₹617.85 | 678 007 |
| Oct 28, 2025 | ₹617.90 | ₹617.90 | ₹602.90 | ₹604.40 | 751 550 |
| Oct 27, 2025 | ₹614.95 | ₹620.50 | ₹608.60 | ₹610.95 | 531 145 |
| Oct 24, 2025 | ₹625.00 | ₹626.30 | ₹611.60 | ₹613.90 | 705 908 |
| Oct 23, 2025 | ₹640.00 | ₹640.70 | ₹619.00 | ₹622.45 | 1 183 788 |
| Oct 20, 2025 | ₹680.00 | ₹683.80 | ₹626.65 | ₹636.55 | 1 137 572 |
| Oct 17, 2025 | ₹711.05 | ₹726.80 | ₹671.10 | ₹674.55 | 963 741 |
| Oct 16, 2025 | ₹719.70 | ₹722.40 | ₹705.00 | ₹707.70 | 296 698 |
| Oct 15, 2025 | ₹707.00 | ₹718.00 | ₹705.65 | ₹715.45 | 251 160 |
| Oct 14, 2025 | ₹714.95 | ₹716.10 | ₹690.20 | ₹707.55 | 646 947 |
| Oct 13, 2025 | ₹707.35 | ₹721.15 | ₹705.55 | ₹709.70 | 314 453 |
| Oct 10, 2025 | ₹718.15 | ₹724.85 | ₹709.00 | ₹711.30 | 339 613 |
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 TANLA.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the TANLA.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 TANLA.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.
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