₹169.80
-4.85 (-2.78%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹161.56 | ₹187.55 | Monday, 10th Aug 2026 SAMHI.NS stock ended at ₹169.80. This is 2.78% less than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 2.98% from a day low at ₹168.97 to a day high of ₹174.00. |
| 90 days | ₹141.21 | ₹188.23 | |
| 52 weeks | ₹127.00 | ₹227.00 |
Historical Samhi Hotels Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | ₹173.65 | ₹174.00 | ₹168.97 | ₹169.80 | 1 464 853 |
| Aug 07, 2026 | ₹176.99 | ₹177.79 | ₹174.00 | ₹174.65 | 541 141 |
| Aug 06, 2026 | ₹173.00 | ₹176.90 | ₹173.00 | ₹176.24 | 836 865 |
| Aug 05, 2026 | ₹170.65 | ₹176.77 | ₹163.25 | ₹173.66 | 0 |
| Aug 04, 2026 | ₹179.00 | ₹179.00 | ₹170.40 | ₹171.75 | 0 |
| Aug 03, 2026 | ₹179.90 | ₹184.75 | ₹178.32 | ₹181.68 | 777 435 |
| Jul 31, 2026 | ₹186.25 | ₹187.55 | ₹178.98 | ₹179.84 | 906 617 |
| Jul 30, 2026 | ₹182.72 | ₹186.60 | ₹179.28 | ₹186.07 | 1 587 312 |
| Jul 29, 2026 | ₹177.25 | ₹183.00 | ₹177.25 | ₹181.72 | 990 851 |
| Jul 28, 2026 | ₹178.86 | ₹180.69 | ₹174.65 | ₹176.36 | 394 588 |
| Jul 27, 2026 | ₹177.80 | ₹183.69 | ₹177.38 | ₹178.54 | 1 037 435 |
| Jul 24, 2026 | ₹168.00 | ₹180.00 | ₹167.08 | ₹177.66 | 1 245 760 |
| Jul 23, 2026 | ₹162.36 | ₹171.92 | ₹162.36 | ₹169.87 | 1 001 419 |
| Jul 22, 2026 | ₹164.49 | ₹165.20 | ₹162.20 | ₹163.67 | 540 226 |
| Jul 21, 2026 | ₹162.57 | ₹165.00 | ₹161.63 | ₹164.71 | 468 791 |
| Jul 20, 2026 | ₹164.00 | ₹164.36 | ₹161.56 | ₹163.14 | 689 946 |
| Jul 17, 2026 | ₹172.10 | ₹172.11 | ₹163.80 | ₹165.10 | 823 447 |
| Jul 16, 2026 | ₹173.85 | ₹175.50 | ₹169.00 | ₹169.56 | 821 660 |
| Jul 15, 2026 | ₹174.80 | ₹177.98 | ₹173.50 | ₹174.24 | 504 294 |
| Jul 14, 2026 | ₹177.00 | ₹177.00 | ₹172.20 | ₹174.77 | 640 754 |
| Jul 13, 2026 | ₹172.35 | ₹179.00 | ₹171.66 | ₹178.06 | 1 615 067 |
| Jul 10, 2026 | ₹173.60 | ₹175.00 | ₹171.50 | ₹173.08 | 494 061 |
| Jul 09, 2026 | ₹168.46 | ₹173.47 | ₹168.46 | ₹172.69 | 443 213 |
| Jul 08, 2026 | ₹171.60 | ₹174.18 | ₹165.25 | ₹167.77 | 693 810 |
| Jul 07, 2026 | ₹173.60 | ₹175.90 | ₹172.55 | ₹173.75 | 434 908 |
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 SAMHI.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the SAMHI.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 SAMHI.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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