NYSE:TTI
Tetra Technologies Inc Stock Price (Quote)
$3.71
+0.0200 (+0.542%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.59 | $4.28 | Friday, 31st May 2024 TTI stock ended at $3.71. This is 0.542% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 4.17% from a day low at $3.59 to a day high of $3.74. |
90 days | $3.59 | $5.08 | |
52 weeks | $2.67 | $6.77 |
Historical Tetra Technologies Inc prices
Date | Open | High | Low | Close | Volume |
Jul 26, 2016 | $6.05 | $6.14 | $5.90 | $5.96 | 1 548 300 |
Jul 25, 2016 | $6.12 | $6.14 | $6.02 | $6.07 | 806 500 |
Jul 22, 2016 | $6.13 | $6.20 | $6.02 | $6.19 | 749 900 |
Jul 21, 2016 | $6.20 | $6.42 | $6.10 | $6.12 | 825 600 |
Jul 20, 2016 | $6.10 | $6.26 | $5.81 | $6.21 | 1 244 100 |
Jul 19, 2016 | $6.24 | $6.33 | $6.10 | $6.15 | 685 900 |
Jul 18, 2016 | $6.26 | $6.33 | $6.12 | $6.30 | 708 800 |
Jul 15, 2016 | $6.38 | $6.39 | $6.23 | $6.27 | 597 900 |
Jul 14, 2016 | $6.38 | $6.55 | $6.29 | $6.30 | 866 200 |
Jul 13, 2016 | $6.40 | $6.54 | $6.13 | $6.28 | 1 153 900 |
Jul 12, 2016 | $6.37 | $6.59 | $6.34 | $6.40 | 2 262 000 |
Jul 11, 2016 | $6.25 | $6.37 | $6.18 | $6.19 | 1 139 000 |
Jul 08, 2016 | $6.10 | $6.23 | $6.04 | $6.15 | 987 000 |
Jul 07, 2016 | $6.26 | $6.46 | $5.98 | $6.01 | 989 600 |
Jul 06, 2016 | $6.04 | $6.27 | $6.02 | $6.18 | 871 900 |
Jul 05, 2016 | $6.37 | $6.43 | $5.96 | $6.11 | 810 000 |
Jul 01, 2016 | $6.35 | $6.57 | $6.31 | $6.51 | 1 262 300 |
Jun 30, 2016 | $6.13 | $6.39 | $5.92 | $6.37 | 1 956 900 |
Jun 29, 2016 | $6.01 | $6.35 | $5.86 | $6.15 | 1 807 800 |
Jun 28, 2016 | $5.67 | $5.90 | $5.64 | $5.87 | 697 000 |
Jun 27, 2016 | $5.88 | $5.88 | $5.37 | $5.54 | 1 186 300 |
Jun 24, 2016 | $5.89 | $6.05 | $5.85 | $6.02 | 3 878 900 |
Jun 23, 2016 | $5.84 | $6.21 | $5.77 | $6.19 | 1 616 100 |
Jun 22, 2016 | $5.88 | $5.98 | $5.65 | $5.67 | 993 400 |
Jun 21, 2016 | $5.82 | $5.84 | $5.60 | $5.81 | 1 098 000 |
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 TTI stock historical prices to predict future price movements?
Trend Analysis: Examine the TTI 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 TTI 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.