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 |
Sep 21, 2020 | $1.95 | $2.14 | $1.93 | $2.04 | 1 769 438 |
Sep 18, 2020 | $2.05 | $2.19 | $1.98 | $2.02 | 4 585 511 |
Sep 17, 2020 | $1.73 | $2.03 | $1.72 | $1.95 | 3 481 072 |
Sep 16, 2020 | $1.76 | $1.83 | $1.71 | $1.80 | 874 999 |
Sep 15, 2020 | $1.90 | $1.90 | $1.71 | $1.76 | 1 691 647 |
Sep 14, 2020 | $1.79 | $1.97 | $1.76 | $1.89 | 2 664 422 |
Sep 11, 2020 | $1.73 | $1.76 | $1.67 | $1.72 | 1 163 444 |
Sep 10, 2020 | $1.58 | $1.78 | $1.54 | $1.64 | 2 048 154 |
Sep 09, 2020 | $1.56 | $1.60 | $1.50 | $1.55 | 963 379 |
Sep 08, 2020 | $1.48 | $1.53 | $1.34 | $1.50 | 1 539 606 |
Sep 04, 2020 | $1.59 | $1.60 | $1.39 | $1.51 | 1 505 440 |
Sep 03, 2020 | $1.73 | $1.73 | $1.55 | $1.62 | 1 646 018 |
Sep 02, 2020 | $1.84 | $1.85 | $1.67 | $1.76 | 4 633 068 |
Sep 01, 2020 | $1.64 | $1.72 | $1.59 | $1.64 | 1 946 689 |
Aug 31, 2020 | $1.60 | $1.98 | $1.60 | $1.77 | 12 637 721 |
Aug 28, 2020 | $1.46 | $1.64 | $1.43 | $1.60 | 1 984 342 |
Aug 27, 2020 | $1.57 | $1.62 | $1.48 | $1.52 | 2 903 609 |
Aug 26, 2020 | $1.75 | $1.84 | $1.63 | $1.65 | 2 160 724 |
Aug 25, 2020 | $1.75 | $1.84 | $1.71 | $1.80 | 1 850 190 |
Aug 24, 2020 | $2.02 | $2.02 | $1.78 | $1.78 | 3 839 456 |
Aug 21, 2020 | $2.10 | $2.10 | $1.90 | $2.01 | 3 508 331 |
Aug 20, 2020 | $2.13 | $2.19 | $2.08 | $2.11 | 2 653 921 |
Aug 19, 2020 | $2.49 | $2.54 | $2.12 | $2.21 | 8 000 675 |
Aug 18, 2020 | $2.52 | $2.57 | $2.38 | $2.44 | 3 279 701 |
Aug 17, 2020 | $2.43 | $2.57 | $2.35 | $2.52 | 3 213 373 |
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.