NASDAQ:TNTR
Delisted
Tintri Inc Stock Price (Quote)
$0.165
+0 (+0%)
At Close: Jul 19, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.130 | $0.560 | Thursday, 19th Jul 2018 TNTR stock ended at $0.165. During the day the stock fluctuated 0% from a day low at $0.165 to a day high of $0.165. |
90 days | $0.130 | $1.67 | |
52 weeks | $0.130 | $7.45 |
Date | Open | High | Low | Close | Volume |
Dec 13, 2017 | $5.54 | $5.55 | $5.31 | $5.48 | 425 621 |
Dec 12, 2017 | $5.37 | $5.59 | $5.34 | $5.50 | 228 553 |
Dec 11, 2017 | $5.28 | $5.42 | $5.28 | $5.37 | 55 244 |
Dec 08, 2017 | $5.54 | $5.56 | $5.20 | $5.30 | 134 826 |
Dec 07, 2017 | $5.53 | $5.60 | $5.44 | $5.54 | 66 370 |
Dec 06, 2017 | $5.39 | $5.55 | $5.33 | $5.51 | 69 959 |
Dec 05, 2017 | $5.45 | $5.55 | $5.23 | $5.46 | 120 709 |
Dec 04, 2017 | $5.59 | $5.62 | $5.36 | $5.43 | 77 765 |
Dec 01, 2017 | $5.25 | $5.52 | $4.88 | $5.52 | 186 924 |
Nov 30, 2017 | $5.36 | $5.54 | $5.10 | $5.33 | 122 265 |
Nov 29, 2017 | $5.25 | $5.47 | $5.17 | $5.32 | 133 895 |
Nov 28, 2017 | $5.56 | $5.56 | $5.13 | $5.25 | 186 706 |
Nov 27, 2017 | $5.78 | $5.78 | $5.53 | $5.57 | 220 923 |
Nov 24, 2017 | $5.87 | $5.99 | $5.56 | $5.64 | 198 487 |
Nov 22, 2017 | $5.91 | $6.24 | $5.80 | $5.87 | 249 797 |
Nov 21, 2017 | $5.85 | $6.15 | $5.71 | $5.99 | 247 274 |
Nov 20, 2017 | $5.98 | $6.00 | $5.65 | $5.83 | 222 411 |
Nov 17, 2017 | $5.96 | $6.05 | $5.38 | $5.91 | 376 201 |
Nov 16, 2017 | $5.21 | $5.85 | $5.21 | $5.85 | 561 969 |
Nov 15, 2017 | $4.95 | $5.26 | $4.82 | $5.16 | 340 267 |
Nov 14, 2017 | $4.54 | $4.90 | $4.36 | $4.90 | 232 840 |
Nov 13, 2017 | $4.67 | $4.80 | $4.20 | $4.62 | 335 767 |
Nov 10, 2017 | $4.85 | $4.97 | $4.36 | $4.65 | 355 896 |
Nov 09, 2017 | $4.56 | $4.89 | $4.56 | $4.88 | 293 115 |
Nov 08, 2017 | $4.50 | $4.61 | $4.42 | $4.61 | 383 206 |
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 TNTR stock historical prices to predict future price movements?
Trend Analysis: Examine the TNTR 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 TNTR 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.