NASDAQ:TIG
Delisted
Trean Insurance Group, Inc. Stock Price (Quote)
$6.16
+0 (+0%)
At Close: Jul 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.16 | $6.16 | Wednesday, 19th Jul 2023 TIG stock ended at $6.16. During the day the stock fluctuated 0% from a day low at $6.16 to a day high of $6.16. |
90 days | $6.15 | $6.17 | |
52 weeks | $2.16 | $6.17 |
Date | Open | High | Low | Close | Volume |
Mar 30, 2023 | $6.12 | $6.13 | $6.11 | $6.11 | 391 686 |
Mar 29, 2023 | $6.11 | $6.13 | $6.11 | $6.12 | 192 972 |
Mar 28, 2023 | $6.12 | $6.12 | $6.11 | $6.12 | 53 292 |
Mar 27, 2023 | $6.12 | $6.12 | $6.11 | $6.12 | 318 916 |
Mar 24, 2023 | $6.11 | $6.12 | $6.11 | $6.11 | 780 429 |
Mar 23, 2023 | $6.11 | $6.12 | $6.11 | $6.12 | 123 438 |
Mar 22, 2023 | $6.08 | $6.09 | $6.07 | $6.07 | 62 214 |
Mar 21, 2023 | $6.10 | $6.10 | $6.09 | $6.09 | 90 032 |
Mar 20, 2023 | $6.09 | $6.10 | $6.08 | $6.09 | 68 551 |
Mar 17, 2023 | $6.06 | $6.12 | $6.06 | $6.09 | 461 986 |
Mar 16, 2023 | $6.05 | $6.07 | $6.05 | $6.06 | 108 702 |
Mar 15, 2023 | $6.06 | $6.07 | $6.03 | $6.05 | 151 062 |
Mar 14, 2023 | $6.07 | $6.08 | $6.06 | $6.07 | 145 434 |
Mar 13, 2023 | $6.06 | $6.08 | $6.02 | $6.07 | 129 173 |
Mar 10, 2023 | $6.10 | $6.10 | $6.03 | $6.09 | 294 549 |
Mar 09, 2023 | $6.10 | $6.11 | $6.10 | $6.10 | 57 873 |
Mar 08, 2023 | $6.10 | $6.12 | $6.10 | $6.11 | 52 961 |
Mar 07, 2023 | $6.11 | $6.12 | $6.10 | $6.11 | 118 553 |
Mar 06, 2023 | $6.11 | $6.11 | $6.09 | $6.11 | 175 401 |
Mar 03, 2023 | $6.09 | $6.11 | $6.09 | $6.11 | 87 765 |
Mar 02, 2023 | $6.09 | $6.10 | $6.09 | $6.10 | 56 815 |
Mar 01, 2023 | $6.09 | $6.10 | $6.09 | $6.10 | 48 350 |
Feb 28, 2023 | $6.09 | $6.10 | $6.09 | $6.09 | 53 481 |
Feb 27, 2023 | $6.10 | $6.11 | $6.09 | $6.10 | 197 129 |
Feb 24, 2023 | $6.10 | $6.11 | $6.10 | $6.11 | 115 245 |
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 TIG stock historical prices to predict future price movements?
Trend Analysis: Examine the TIG 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 TIG 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.