NASDAQ:WORX
SCWorx Corp. Stock Price (Quote)
$2.10
-0.0500 (-2.33%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.99 | $3.00 | Tuesday, 21st May 2024 WORX stock ended at $2.10. This is 2.33% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 5.83% from a day low at $2.06 to a day high of $2.18. |
90 days | $1.20 | $4.44 | |
52 weeks | $0.180 | $4.44 |
Date | Open | High | Low | Close | Volume |
Oct 16, 2023 | $2.20 | $2.29 | $2.09 | $2.21 | 105 856 |
Oct 13, 2023 | $2.04 | $2.25 | $1.98 | $2.08 | 120 053 |
Oct 12, 2023 | $2.23 | $2.37 | $2.05 | $2.09 | 160 388 |
Oct 11, 2023 | $2.76 | $2.90 | $2.34 | $2.36 | 133 168 |
Oct 10, 2023 | $0.200 | $0.223 | $0.195 | $0.200 | 1 394 925 |
Oct 09, 2023 | $0.210 | $0.213 | $0.202 | $0.209 | 172 100 |
Oct 06, 2023 | $0.201 | $0.220 | $0.198 | $0.215 | 244 893 |
Oct 05, 2023 | $0.203 | $0.210 | $0.198 | $0.204 | 175 338 |
Oct 04, 2023 | $0.210 | $0.220 | $0.198 | $0.210 | 330 773 |
Oct 03, 2023 | $0.198 | $0.225 | $0.198 | $0.204 | 395 519 |
Oct 02, 2023 | $0.206 | $0.206 | $0.196 | $0.203 | 132 705 |
Sep 29, 2023 | $0.204 | $0.210 | $0.195 | $0.201 | 289 087 |
Sep 28, 2023 | $0.196 | $0.225 | $0.196 | $0.201 | 341 443 |
Sep 27, 2023 | $0.197 | $0.207 | $0.197 | $0.200 | 237 477 |
Sep 26, 2023 | $0.196 | $0.207 | $0.190 | $0.199 | 247 600 |
Sep 25, 2023 | $0.200 | $0.207 | $0.190 | $0.196 | 769 816 |
Sep 22, 2023 | $0.210 | $0.230 | $0.201 | $0.207 | 652 679 |
Sep 21, 2023 | $0.212 | $0.229 | $0.207 | $0.222 | 507 062 |
Sep 20, 2023 | $0.214 | $0.237 | $0.212 | $0.232 | 1 012 935 |
Sep 19, 2023 | $0.227 | $0.230 | $0.200 | $0.225 | 4 130 083 |
Sep 18, 2023 | $0.313 | $0.420 | $0.227 | $0.262 | 117 961 997 |
Sep 15, 2023 | $0.182 | $0.196 | $0.182 | $0.189 | 180 551 |
Sep 14, 2023 | $0.185 | $0.194 | $0.182 | $0.188 | 69 964 |
Sep 13, 2023 | $0.200 | $0.200 | $0.185 | $0.190 | 42 119 |
Sep 12, 2023 | $0.194 | $0.200 | $0.185 | $0.185 | 107 462 |
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 WORX stock historical prices to predict future price movements?
Trend Analysis: Examine the WORX 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 WORX 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.