NASDAQ:TROV
Delisted
TrovaGene Stock Price (Quote)
$2.69
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.69 | $2.69 | Wednesday, 20th Jul 2022 TROV stock ended at $2.69. During the day the stock fluctuated 0% from a day low at $2.69 to a day high of $2.69. |
90 days | $2.69 | $2.69 | |
52 weeks | $2.51 | $8.58 |
Date | Open | High | Low | Close | Volume |
Jan 19, 2022 | $5.62 | $5.66 | $4.45 | $4.55 | 4 362 176 |
Jan 18, 2022 | $6.75 | $6.75 | $6.12 | $6.14 | 650 187 |
Jan 14, 2022 | $6.71 | $6.90 | $6.44 | $6.86 | 477 011 |
Jan 13, 2022 | $7.08 | $7.08 | $6.60 | $6.82 | 615 273 |
Jan 12, 2022 | $7.29 | $7.32 | $7.00 | $7.01 | 654 941 |
Jan 11, 2022 | $6.65 | $7.29 | $6.59 | $7.25 | 1 206 188 |
Jan 10, 2022 | $6.39 | $6.59 | $6.12 | $6.58 | 437 094 |
Jan 07, 2022 | $6.30 | $6.57 | $6.26 | $6.34 | 340 420 |
Jan 06, 2022 | $6.20 | $6.51 | $5.92 | $6.31 | 495 046 |
Jan 05, 2022 | $6.45 | $6.50 | $6.15 | $6.23 | 470 840 |
Jan 04, 2022 | $6.45 | $6.50 | $6.16 | $6.29 | 755 634 |
Jan 03, 2022 | $6.06 | $6.50 | $6.02 | $6.43 | 428 282 |
Dec 31, 2021 | $6.20 | $6.33 | $6.00 | $6.01 | 247 200 |
Dec 30, 2021 | $5.87 | $6.33 | $5.80 | $6.21 | 374 191 |
Dec 29, 2021 | $5.97 | $6.08 | $5.79 | $5.93 | 366 968 |
Dec 28, 2021 | $6.11 | $6.26 | $5.98 | $5.99 | 384 821 |
Dec 27, 2021 | $6.44 | $6.45 | $6.06 | $6.09 | 609 213 |
Dec 23, 2021 | $6.04 | $6.55 | $5.99 | $6.45 | 797 013 |
Dec 22, 2021 | $5.95 | $6.19 | $5.86 | $6.01 | 417 009 |
Dec 21, 2021 | $6.12 | $6.20 | $5.92 | $5.98 | 454 921 |
Dec 20, 2021 | $5.97 | $6.23 | $5.84 | $6.11 | 771 560 |
Dec 17, 2021 | $5.52 | $6.19 | $5.50 | $6.14 | 956 164 |
Dec 16, 2021 | $5.79 | $5.99 | $5.54 | $5.57 | 649 248 |
Dec 15, 2021 | $5.35 | $5.78 | $5.26 | $5.77 | 652 588 |
Dec 14, 2021 | $5.56 | $5.64 | $5.28 | $5.35 | 516 803 |
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 TROV stock historical prices to predict future price movements?
Trend Analysis: Examine the TROV 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 TROV 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.