NASDAQ:DCGO
DocGo Inc. Stock Price (Quote)
$3.36
+0.0600 (+1.82%)
At Close: May 15, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.90 | $3.71 | Wednesday, 15th May 2024 DCGO stock ended at $3.36. This is 1.82% more than the trading day before Tuesday, 14th May 2024. During the day the stock fluctuated 7.57% from a day low at $3.30 to a day high of $3.55. |
90 days | $2.84 | $4.86 | |
52 weeks | $2.78 | $10.82 |
Date | Open | High | Low | Close | Volume |
Jun 23, 2023 | $9.39 | $9.74 | $9.37 | $9.70 | 1 140 119 |
Jun 22, 2023 | $9.81 | $9.90 | $9.39 | $9.48 | 514 337 |
Jun 21, 2023 | $9.38 | $9.90 | $9.38 | $9.82 | 1 236 238 |
Jun 20, 2023 | $8.96 | $9.54 | $8.77 | $9.35 | 939 285 |
Jun 16, 2023 | $9.60 | $9.60 | $8.97 | $9.01 | 877 836 |
Jun 15, 2023 | $9.31 | $9.56 | $9.29 | $9.44 | 611 460 |
Jun 14, 2023 | $9.42 | $9.60 | $9.21 | $9.29 | 595 504 |
Jun 13, 2023 | $9.40 | $9.48 | $9.11 | $9.42 | 558 924 |
Jun 12, 2023 | $9.41 | $9.60 | $9.34 | $9.37 | 430 572 |
Jun 09, 2023 | $9.48 | $9.55 | $9.34 | $9.42 | 331 530 |
Jun 08, 2023 | $9.35 | $9.54 | $9.21 | $9.50 | 381 170 |
Jun 07, 2023 | $9.50 | $9.66 | $9.32 | $9.36 | 501 212 |
Jun 06, 2023 | $9.29 | $9.50 | $9.10 | $9.46 | 703 512 |
Jun 05, 2023 | $9.19 | $9.41 | $9.00 | $9.33 | 632 969 |
Jun 02, 2023 | $9.25 | $9.37 | $9.15 | $9.23 | 455 702 |
Jun 01, 2023 | $8.95 | $9.19 | $8.80 | $9.16 | 365 523 |
May 31, 2023 | $8.89 | $9.08 | $8.73 | $8.95 | 657 927 |
May 30, 2023 | $8.99 | $9.08 | $8.82 | $8.90 | 292 889 |
May 26, 2023 | $9.05 | $9.09 | $8.72 | $9.04 | 242 964 |
May 25, 2023 | $9.11 | $9.11 | $8.66 | $8.89 | 420 874 |
May 24, 2023 | $8.86 | $9.24 | $8.81 | $9.13 | 465 502 |
May 23, 2023 | $9.24 | $9.32 | $8.77 | $8.91 | 505 126 |
May 22, 2023 | $9.27 | $9.51 | $9.18 | $9.27 | 564 530 |
May 19, 2023 | $9.10 | $9.27 | $8.91 | $9.25 | 562 845 |
May 18, 2023 | $8.75 | $9.05 | $8.72 | $9.03 | 807 310 |
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 DCGO stock historical prices to predict future price movements?
Trend Analysis: Examine the DCGO 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 DCGO 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.