NYSE:TTI
Tetra Technologies Inc Stock Price (Quote)
$4.21
+0.150 (+3.69%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.67 | $4.60 | Friday, 17th May 2024 TTI stock ended at $4.21. This is 3.69% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.69% from a day low at $4.07 to a day high of $4.22. |
90 days | $3.67 | $5.08 | |
52 weeks | $2.56 | $6.77 |
Date | Open | High | Low | Close | Volume |
Feb 19, 2016 | $5.09 | $5.21 | $5.01 | $5.15 | 504 600 |
Feb 18, 2016 | $5.32 | $5.40 | $5.12 | $5.15 | 714 600 |
Feb 17, 2016 | $5.15 | $5.39 | $5.14 | $5.27 | 734 700 |
Feb 16, 2016 | $5.02 | $5.09 | $4.90 | $5.07 | 720 000 |
Feb 12, 2016 | $4.75 | $5.00 | $4.65 | $4.90 | 710 000 |
Feb 11, 2016 | $4.77 | $4.83 | $4.62 | $4.72 | 1 125 900 |
Feb 10, 2016 | $5.00 | $5.23 | $4.81 | $4.82 | 632 000 |
Feb 09, 2016 | $5.57 | $5.62 | $4.97 | $5.00 | 796 200 |
Feb 08, 2016 | $5.57 | $5.97 | $5.52 | $5.72 | 798 500 |
Feb 05, 2016 | $5.89 | $6.00 | $5.64 | $5.69 | 762 300 |
Feb 04, 2016 | $6.08 | $6.36 | $5.88 | $5.99 | 1 399 300 |
Feb 03, 2016 | $5.86 | $6.07 | $5.62 | $5.99 | 633 500 |
Feb 02, 2016 | $5.76 | $5.79 | $5.63 | $5.70 | 504 800 |
Feb 01, 2016 | $6.01 | $6.16 | $5.82 | $5.88 | 692 400 |
Jan 29, 2016 | $5.92 | $6.21 | $5.90 | $6.19 | 965 600 |
Jan 28, 2016 | $5.77 | $6.22 | $5.71 | $5.91 | 866 800 |
Jan 27, 2016 | $5.58 | $5.77 | $5.41 | $5.48 | 1 448 000 |
Jan 26, 2016 | $5.36 | $5.69 | $5.16 | $5.66 | 1 103 600 |
Jan 25, 2016 | $5.46 | $5.70 | $5.16 | $5.16 | 754 000 |
Jan 22, 2016 | $5.68 | $5.82 | $5.39 | $5.63 | 823 500 |
Jan 21, 2016 | $5.42 | $5.69 | $5.36 | $5.46 | 1 025 200 |
Jan 20, 2016 | $5.24 | $5.60 | $5.12 | $5.49 | 1 444 400 |
Jan 19, 2016 | $5.81 | $5.81 | $5.21 | $5.35 | 1 257 000 |
Jan 15, 2016 | $5.28 | $5.80 | $5.20 | $5.78 | 1 253 900 |
Jan 14, 2016 | $5.46 | $5.58 | $5.15 | $5.55 | 2 108 000 |
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.