NASDAQ:AMDA
Delisted
Amedica Corporation Fund Price (Quote)
$0.483
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.483 | $0.483 | Friday, 27th May 2022 AMDA stock ended at $0.483. During the day the stock fluctuated 0% from a day low at $0.483 to a day high of $0.483. |
90 days | $0.482 | $0.521 | |
52 weeks | $0.400 | $2.06 |
Date | Open | High | Low | Close | Volume |
Dec 01, 2020 | $1.89 | $2.25 | $1.86 | $2.17 | 10 704 163 |
Nov 30, 2020 | $1.90 | $1.95 | $1.80 | $1.90 | 1 255 907 |
Nov 27, 2020 | $1.87 | $1.90 | $1.80 | $1.90 | 643 161 |
Nov 25, 2020 | $1.80 | $1.90 | $1.71 | $1.87 | 1 827 595 |
Nov 24, 2020 | $2.06 | $2.08 | $1.80 | $1.82 | 2 312 062 |
Nov 23, 2020 | $1.92 | $2.03 | $1.84 | $1.94 | 3 323 677 |
Nov 20, 2020 | $1.58 | $1.91 | $1.55 | $1.85 | 6 762 970 |
Nov 19, 2020 | $1.57 | $1.63 | $1.56 | $1.58 | 604 728 |
Nov 18, 2020 | $1.62 | $1.63 | $1.56 | $1.59 | 850 356 |
Nov 17, 2020 | $1.61 | $1.64 | $1.59 | $1.62 | 805 460 |
Nov 16, 2020 | $1.76 | $1.78 | $1.62 | $1.64 | 1 315 502 |
Nov 13, 2020 | $1.72 | $1.78 | $1.66 | $1.76 | 1 274 773 |
Nov 12, 2020 | $1.68 | $1.69 | $1.65 | $1.68 | 350 431 |
Nov 11, 2020 | $1.64 | $1.70 | $1.61 | $1.68 | 378 583 |
Nov 10, 2020 | $1.65 | $1.69 | $1.55 | $1.66 | 925 470 |
Nov 09, 2020 | $1.76 | $1.79 | $1.62 | $1.62 | 1 215 520 |
Nov 06, 2020 | $1.79 | $1.81 | $1.73 | $1.75 | 410 947 |
Nov 05, 2020 | $1.70 | $1.84 | $1.66 | $1.81 | 1 214 653 |
Nov 04, 2020 | $1.63 | $1.72 | $1.61 | $1.69 | 655 539 |
Nov 03, 2020 | $1.56 | $1.67 | $1.56 | $1.66 | 680 474 |
Nov 02, 2020 | $1.64 | $1.66 | $1.56 | $1.59 | 778 227 |
Oct 30, 2020 | $1.69 | $1.71 | $1.60 | $1.65 | 930 844 |
Oct 29, 2020 | $1.74 | $1.84 | $1.64 | $1.72 | 1 918 376 |
Oct 28, 2020 | $1.78 | $1.78 | $1.60 | $1.65 | 1 726 842 |
Oct 27, 2020 | $1.83 | $1.84 | $1.77 | $1.78 | 467 593 |
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 AMDA stock historical prices to predict future price movements?
Trend Analysis: Examine the AMDA 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 AMDA 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.