NYSE:ANVS
Annovis Bio, Inc. Stock Price (Quote)
$8.31
+0.280 (+3.49%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.79 | $20.00 | Friday, 17th May 2024 ANVS stock ended at $8.31. This is 3.49% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 13.14% from a day low at $7.38 to a day high of $8.35. |
90 days | $4.79 | $20.00 | |
52 weeks | $4.79 | $22.49 |
Date | Open | High | Low | Close | Volume |
Dec 22, 2023 | $11.25 | $14.99 | $11.19 | $14.47 | 749 401 |
Dec 21, 2023 | $10.65 | $11.45 | $10.56 | $11.30 | 88 144 |
Dec 20, 2023 | $11.10 | $11.50 | $10.55 | $10.75 | 165 893 |
Dec 19, 2023 | $11.53 | $11.77 | $11.00 | $11.10 | 232 256 |
Dec 18, 2023 | $10.60 | $11.89 | $10.60 | $11.46 | 248 809 |
Dec 15, 2023 | $10.80 | $10.90 | $10.29 | $10.90 | 136 990 |
Dec 14, 2023 | $10.35 | $10.76 | $9.56 | $10.76 | 229 328 |
Dec 13, 2023 | $9.20 | $10.10 | $9.18 | $10.10 | 134 511 |
Dec 12, 2023 | $9.60 | $9.70 | $9.05 | $9.18 | 137 921 |
Dec 11, 2023 | $10.28 | $10.39 | $9.02 | $9.38 | 377 119 |
Dec 08, 2023 | $10.10 | $10.70 | $9.44 | $10.28 | 284 754 |
Dec 07, 2023 | $10.75 | $10.92 | $9.90 | $10.29 | 269 972 |
Dec 06, 2023 | $10.62 | $11.22 | $10.48 | $10.68 | 336 372 |
Dec 05, 2023 | $10.00 | $11.14 | $9.89 | $10.30 | 475 930 |
Dec 04, 2023 | $8.42 | $10.18 | $8.42 | $9.85 | 432 599 |
Dec 01, 2023 | $8.70 | $9.00 | $8.05 | $8.49 | 244 333 |
Nov 30, 2023 | $8.23 | $9.54 | $8.17 | $8.49 | 496 717 |
Nov 29, 2023 | $7.55 | $8.66 | $7.55 | $8.31 | 346 415 |
Nov 28, 2023 | $7.50 | $8.24 | $7.30 | $7.55 | 322 006 |
Nov 27, 2023 | $6.80 | $8.00 | $6.72 | $7.39 | 395 635 |
Nov 24, 2023 | $6.50 | $6.73 | $6.49 | $6.50 | 169 810 |
Nov 22, 2023 | $6.70 | $6.75 | $6.37 | $6.42 | 229 547 |
Nov 21, 2023 | $6.07 | $6.78 | $6.00 | $6.60 | 232 912 |
Nov 20, 2023 | $5.96 | $6.48 | $5.96 | $6.06 | 200 251 |
Nov 17, 2023 | $5.85 | $6.19 | $5.79 | $6.07 | 80 695 |
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 ANVS stock historical prices to predict future price movements?
Trend Analysis: Examine the ANVS 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 ANVS 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.