NASDAQ:TVIA
Delisted
TerraVia Holdings Inc. Fund Price (Quote)
$0.0399
+0 (+0%)
At Close: Sep 01, 2017
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0370 | $0.0990 | Friday, 1st Sep 2017 TVIA stock ended at $0.0399. During the day the stock fluctuated 35.14% from a day low at $0.0370 to a day high of $0.0500. |
90 days | $0.0370 | $0.380 | |
52 weeks | $0.0370 | $2.98 |
Date | Open | High | Low | Close | Volume |
Dec 21, 2016 | $1.25 | $1.30 | $1.15 | $1.15 | 1 134 523 |
Dec 20, 2016 | $1.00 | $1.30 | $0.90 | $1.30 | 1 975 177 |
Dec 19, 2016 | $1.15 | $1.15 | $1.05 | $1.05 | 905 172 |
Dec 16, 2016 | $1.20 | $1.20 | $1.10 | $1.12 | 945 694 |
Dec 15, 2016 | $1.25 | $1.30 | $1.15 | $1.18 | 2 271 667 |
Dec 14, 2016 | $1.30 | $1.35 | $1.25 | $1.30 | 963 180 |
Dec 13, 2016 | $1.20 | $1.60 | $1.20 | $1.35 | 2 014 670 |
Dec 12, 2016 | $1.50 | $1.50 | $1.20 | $1.25 | 1 338 838 |
Dec 09, 2016 | $1.50 | $1.60 | $1.40 | $1.55 | 1 232 108 |
Dec 08, 2016 | $1.35 | $1.80 | $1.30 | $1.50 | 3 543 462 |
Dec 07, 2016 | $1.25 | $1.45 | $1.20 | $1.40 | 2 167 654 |
Dec 06, 2016 | $1.15 | $1.30 | $1.10 | $1.25 | 1 718 312 |
Dec 05, 2016 | $1.15 | $1.25 | $1.10 | $1.15 | 687 140 |
Dec 02, 2016 | $1.30 | $1.35 | $1.10 | $1.15 | 1 079 685 |
Dec 01, 2016 | $1.35 | $1.45 | $1.30 | $1.35 | 466 200 |
Nov 30, 2016 | $1.45 | $1.50 | $1.30 | $1.35 | 727 394 |
Nov 29, 2016 | $1.55 | $1.60 | $1.40 | $1.45 | 260 174 |
Nov 28, 2016 | $1.70 | $1.70 | $1.50 | $1.55 | 659 556 |
Nov 25, 2016 | $1.75 | $1.75 | $1.65 | $1.70 | 199 703 |
Nov 23, 2016 | $1.45 | $1.77 | $1.45 | $1.75 | 640 571 |
Nov 22, 2016 | $1.40 | $1.55 | $1.35 | $1.50 | 601 256 |
Nov 21, 2016 | $1.45 | $1.45 | $1.35 | $1.40 | 837 333 |
Nov 18, 2016 | $1.45 | $1.45 | $1.40 | $1.45 | 339 947 |
Nov 17, 2016 | $1.50 | $1.50 | $1.45 | $1.45 | 381 517 |
Nov 16, 2016 | $1.50 | $1.50 | $1.45 | $1.50 | 276 910 |
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 TVIA stock historical prices to predict future price movements?
Trend Analysis: Examine the TVIA 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 TVIA 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.