NYSE:NVTA
Delisted
Invitae Corporation Stock Price (Quote)
$0.0190
+0 (+0%)
At Close: May 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0190 | $0.0190 | Monday, 13th May 2024 NVTA stock ended at $0.0190. During the day the stock fluctuated 0% from a day low at $0.0190 to a day high of $0.0190. |
90 days | $0.0160 | $0.0370 | |
52 weeks | $0.0160 | $1.65 |
Date | Open | High | Low | Close | Volume |
Aug 30, 2023 | $0.94 | $1.01 | $0.88 | $0.99 | 18 166 103 |
Aug 29, 2023 | $0.86 | $0.99 | $0.84 | $0.92 | 33 914 774 |
Aug 28, 2023 | $0.91 | $0.92 | $0.85 | $0.85 | 24 899 614 |
Aug 25, 2023 | $0.86 | $0.96 | $0.85 | $0.90 | 30 675 286 |
Aug 24, 2023 | $1.01 | $1.01 | $0.791 | $0.87 | 32 315 126 |
Aug 23, 2023 | $1.05 | $1.07 | $1.00 | $1.01 | 9 009 992 |
Aug 22, 2023 | $1.07 | $1.09 | $1.03 | $1.06 | 4 776 372 |
Aug 21, 2023 | $1.10 | $1.11 | $1.06 | $1.06 | 3 350 028 |
Aug 18, 2023 | $1.04 | $1.14 | $1.04 | $1.07 | 5 054 233 |
Aug 17, 2023 | $1.03 | $1.10 | $1.02 | $1.10 | 7 577 307 |
Aug 16, 2023 | $1.05 | $1.06 | $1.02 | $1.02 | 9 221 382 |
Aug 15, 2023 | $1.10 | $1.12 | $1.05 | $1.05 | 6 072 236 |
Aug 14, 2023 | $1.06 | $1.14 | $1.05 | $1.11 | 6 676 513 |
Aug 11, 2023 | $1.06 | $1.08 | $1.02 | $1.07 | 9 792 519 |
Aug 10, 2023 | $1.12 | $1.14 | $1.07 | $1.07 | 4 288 928 |
Aug 09, 2023 | $1.15 | $1.15 | $1.06 | $1.11 | 12 479 962 |
Aug 08, 2023 | $1.15 | $1.22 | $1.12 | $1.20 | 8 922 387 |
Aug 07, 2023 | $1.24 | $1.25 | $1.12 | $1.17 | 8 841 013 |
Aug 04, 2023 | $1.25 | $1.31 | $1.23 | $1.23 | 4 707 514 |
Aug 03, 2023 | $1.22 | $1.26 | $1.21 | $1.23 | 4 233 290 |
Aug 02, 2023 | $1.29 | $1.30 | $1.23 | $1.24 | 6 649 964 |
Aug 01, 2023 | $1.43 | $1.42 | $1.31 | $1.32 | 7 571 233 |
Jul 31, 2023 | $1.46 | $1.48 | $1.38 | $1.42 | 4 895 460 |
Jul 28, 2023 | $1.36 | $1.46 | $1.34 | $1.42 | 5 397 998 |
Jul 27, 2023 | $1.46 | $1.54 | $1.31 | $1.32 | 7 452 904 |
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 NVTA stock historical prices to predict future price movements?
Trend Analysis: Examine the NVTA 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 NVTA 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.