XBOM:TRIOMERC
Trio Mercantile & Trading Limited Stock Price (Quote)
₹1.00
+0.0700 (+7.53%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹0.93 | ₹1.17 | Friday, 31st May 2024 TRIOMERC.BO stock ended at ₹1.00. This is 7.53% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 5.26% from a day low at ₹0.95 to a day high of ₹1.00. |
90 days | ₹0.85 | ₹1.23 | |
52 weeks | ₹0.550 | ₹1.23 |
Historical Trio Mercantile & Trading Limited prices
Date | Open | High | Low | Close | Volume |
May 23, 2022 | ₹1.42 | ₹1.42 | ₹1.42 | ₹1.42 | 0 |
May 20, 2022 | ₹1.41 | ₹1.43 | ₹1.32 | ₹1.42 | 139 452 |
May 19, 2022 | ₹1.34 | ₹1.40 | ₹1.30 | ₹1.37 | 215 477 |
May 18, 2022 | ₹1.42 | ₹1.44 | ₹1.36 | ₹1.36 | 497 897 |
May 17, 2022 | ₹1.51 | ₹1.52 | ₹1.43 | ₹1.43 | 364 434 |
May 16, 2022 | ₹1.55 | ₹1.55 | ₹1.46 | ₹1.50 | 109 728 |
May 13, 2022 | ₹1.54 | ₹1.56 | ₹1.46 | ₹1.52 | 130 560 |
May 12, 2022 | ₹1.54 | ₹1.54 | ₹1.46 | ₹1.49 | 158 636 |
May 11, 2022 | ₹1.49 | ₹1.54 | ₹1.40 | ₹1.53 | 540 096 |
May 10, 2022 | ₹1.50 | ₹1.50 | ₹1.50 | ₹1.50 | 0 |
May 09, 2022 | ₹1.60 | ₹1.60 | ₹1.50 | ₹1.50 | 174 978 |
May 06, 2022 | ₹1.71 | ₹1.71 | ₹1.56 | ₹1.57 | 1 083 036 |
May 05, 2022 | ₹1.64 | ₹1.64 | ₹1.64 | ₹1.64 | 303 598 |
May 04, 2022 | ₹1.55 | ₹1.57 | ₹1.55 | ₹1.57 | 328 922 |
May 02, 2022 | ₹1.49 | ₹1.50 | ₹1.36 | ₹1.50 | 916 289 |
Apr 29, 2022 | ₹1.31 | ₹1.43 | ₹1.31 | ₹1.43 | 1 482 720 |
Apr 28, 2022 | ₹1.37 | ₹1.37 | ₹1.37 | ₹1.37 | 422 029 |
Apr 27, 2022 | ₹1.44 | ₹1.44 | ₹1.44 | ₹1.44 | 236 050 |
Apr 26, 2022 | ₹1.58 | ₹1.58 | ₹1.51 | ₹1.51 | 331 010 |
Apr 25, 2022 | ₹1.68 | ₹1.68 | ₹1.58 | ₹1.58 | 290 235 |
Apr 22, 2022 | ₹1.66 | ₹1.69 | ₹1.66 | ₹1.66 | 832 691 |
Apr 21, 2022 | ₹1.79 | ₹1.79 | ₹1.68 | ₹1.75 | 756 012 |
Apr 20, 2022 | ₹1.80 | ₹1.91 | ₹1.75 | ₹1.76 | 713 334 |
Apr 19, 2022 | ₹1.95 | ₹1.95 | ₹1.83 | ₹1.84 | 249 337 |
Apr 18, 2022 | ₹1.92 | ₹2.03 | ₹1.91 | ₹1.92 | 596 947 |
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 TRIOMERC.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the TRIOMERC.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.
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 TRIOMERC.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.