NYSEARCA:GOED
Delisted
1847 Goedeker Inc Stock Price (Quote)
$1.23
+0 (+0%)
At Close: Nov 10, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.23 | $1.23 | Thursday, 10th Nov 2022 GOED stock ended at $1.23. During the day the stock fluctuated 0% from a day low at $1.23 to a day high of $1.23. |
90 days | $1.23 | $1.23 | |
52 weeks | $1.16 | $2.87 |
Date | Open | High | Low | Close | Volume |
Apr 07, 2022 | $1.72 | $1.72 | $1.57 | $1.64 | 1 053 533 |
Apr 06, 2022 | $1.80 | $1.86 | $1.65 | $1.66 | 3 623 571 |
Apr 05, 2022 | $2.01 | $2.01 | $1.87 | $1.89 | 1 285 181 |
Apr 04, 2022 | $2.13 | $2.17 | $2.02 | $2.02 | 1 940 622 |
Apr 01, 2022 | $1.96 | $2.17 | $1.96 | $2.15 | 2 959 241 |
Mar 31, 2022 | $1.68 | $1.93 | $1.58 | $1.92 | 4 400 943 |
Mar 30, 2022 | $1.71 | $1.80 | $1.66 | $1.75 | 2 295 706 |
Mar 29, 2022 | $1.68 | $1.75 | $1.65 | $1.72 | 941 603 |
Mar 28, 2022 | $1.67 | $1.71 | $1.61 | $1.64 | 1 198 803 |
Mar 25, 2022 | $1.64 | $1.69 | $1.59 | $1.64 | 840 625 |
Mar 24, 2022 | $1.63 | $1.66 | $1.57 | $1.65 | 853 918 |
Mar 23, 2022 | $1.65 | $1.69 | $1.61 | $1.61 | 773 162 |
Mar 22, 2022 | $1.66 | $1.71 | $1.65 | $1.69 | 908 339 |
Mar 21, 2022 | $1.71 | $1.71 | $1.58 | $1.62 | 1 234 328 |
Mar 18, 2022 | $1.62 | $1.75 | $1.62 | $1.71 | 1 333 067 |
Mar 17, 2022 | $1.51 | $1.65 | $1.51 | $1.64 | 1 420 966 |
Mar 16, 2022 | $1.44 | $1.55 | $1.43 | $1.52 | 1 763 524 |
Mar 15, 2022 | $1.36 | $1.49 | $1.34 | $1.40 | 2 486 091 |
Mar 14, 2022 | $1.45 | $1.47 | $1.35 | $1.36 | 1 927 457 |
Mar 11, 2022 | $1.57 | $1.58 | $1.41 | $1.43 | 4 414 659 |
Mar 10, 2022 | $1.65 | $1.67 | $1.54 | $1.56 | 4 695 590 |
Mar 09, 2022 | $1.73 | $1.74 | $1.66 | $1.69 | 3 522 932 |
Mar 08, 2022 | $1.71 | $1.77 | $1.65 | $1.70 | 1 993 533 |
Mar 07, 2022 | $1.79 | $1.80 | $1.70 | $1.72 | 1 513 277 |
Mar 04, 2022 | $1.85 | $1.85 | $1.74 | $1.81 | 1 608 141 |
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 GOED stock historical prices to predict future price movements?
Trend Analysis: Examine the GOED 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 GOED 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.