XBOM:TRIOMERC
Trio Mercantile & Trading Limited Stock Price (Quote)
₹1.01
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹0.95 | ₹1.23 | Friday, 17th May 2024 TRIOMERC.BO stock ended at ₹1.01. During the day the stock fluctuated 0% from a day low at ₹1.01 to a day high of ₹1.01. |
90 days | ₹0.85 | ₹1.23 | |
52 weeks | ₹0.550 | ₹1.23 |
Date | Open | High | Low | Close | Volume |
Jan 18, 2022 | ₹3.25 | ₹3.25 | ₹3.06 | ₹3.10 | 137 306 |
Jan 17, 2022 | ₹3.18 | ₹3.20 | ₹2.90 | ₹3.16 | 686 074 |
Jan 14, 2022 | ₹3.19 | ₹3.19 | ₹2.98 | ₹3.05 | 521 090 |
Jan 13, 2022 | ₹3.40 | ₹3.40 | ₹3.11 | ₹3.13 | 401 221 |
Jan 12, 2022 | ₹3.40 | ₹3.41 | ₹3.12 | ₹3.27 | 556 096 |
Jan 11, 2022 | ₹3.30 | ₹3.33 | ₹3.05 | ₹3.25 | 624 845 |
Jan 10, 2022 | ₹3.16 | ₹3.18 | ₹3.03 | ₹3.18 | 336 391 |
Jan 07, 2022 | ₹3.03 | ₹3.03 | ₹2.95 | ₹3.03 | 301 113 |
Jan 06, 2022 | ₹2.90 | ₹3.00 | ₹2.89 | ₹2.89 | 570 460 |
Jan 05, 2022 | ₹3.25 | ₹3.29 | ₹3.04 | ₹3.04 | 633 677 |
Jan 04, 2022 | ₹3.45 | ₹3.50 | ₹3.18 | ₹3.19 | 485 147 |
Jan 03, 2022 | ₹3.35 | ₹3.39 | ₹3.10 | ₹3.34 | 620 652 |
Dec 31, 2021 | ₹3.37 | ₹3.37 | ₹3.06 | ₹3.23 | 539 351 |
Dec 30, 2021 | ₹3.18 | ₹3.23 | ₹3.08 | ₹3.22 | 201 977 |
Dec 29, 2021 | ₹3.05 | ₹3.08 | ₹2.94 | ₹3.08 | 240 328 |
Dec 28, 2021 | ₹2.93 | ₹2.94 | ₹2.90 | ₹2.94 | 55 932 |
Dec 27, 2021 | ₹2.79 | ₹2.80 | ₹2.56 | ₹2.80 | 150 835 |
Dec 24, 2021 | ₹2.55 | ₹2.67 | ₹2.55 | ₹2.67 | 36 474 |
Dec 23, 2021 | ₹2.55 | ₹2.55 | ₹2.55 | ₹2.55 | 31 997 |
Dec 22, 2021 | ₹2.37 | ₹2.48 | ₹2.37 | ₹2.48 | 61 324 |
Dec 21, 2021 | ₹2.35 | ₹2.54 | ₹2.35 | ₹2.37 | 53 029 |
Dec 20, 2021 | ₹2.68 | ₹2.68 | ₹2.47 | ₹2.47 | 78 149 |
Dec 17, 2021 | ₹2.72 | ₹2.75 | ₹2.54 | ₹2.59 | 228 148 |
Dec 16, 2021 | ₹2.60 | ₹2.72 | ₹2.60 | ₹2.67 | 168 430 |
Dec 15, 2021 | ₹2.72 | ₹2.72 | ₹2.50 | ₹2.65 | 503 191 |
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.