NASDAQ:SCOR
comScore, Inc. Stock Price (Quote)
$13.97
-0.0700 (-0.499%)
At Close: May 22, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $13.32 | $15.29 | Wednesday, 22nd May 2024 SCOR stock ended at $13.97. This is 0.499% less than the trading day before Tuesday, 21st May 2024. During the day the stock fluctuated 2.75% from a day low at $13.80 to a day high of $14.18. |
90 days | $13.32 | $20.42 | |
52 weeks | $0.480 | $20.97 |
Date | Open | High | Low | Close | Volume |
Jul 01, 2022 | $2.09 | $2.09 | $1.97 | $2.00 | 248 739 |
Jun 30, 2022 | $1.95 | $2.07 | $1.92 | $2.06 | 394 576 |
Jun 29, 2022 | $2.03 | $2.09 | $1.96 | $1.99 | 502 979 |
Jun 28, 2022 | $1.94 | $2.06 | $1.94 | $2.03 | 550 503 |
Jun 27, 2022 | $2.06 | $2.06 | $1.93 | $1.93 | 1 459 151 |
Jun 24, 2022 | $1.99 | $2.16 | $1.97 | $2.04 | 8 260 822 |
Jun 23, 2022 | $1.93 | $2.01 | $1.90 | $2.00 | 357 989 |
Jun 22, 2022 | $1.85 | $1.97 | $1.85 | $1.94 | 998 502 |
Jun 21, 2022 | $1.92 | $1.96 | $1.83 | $1.88 | 732 143 |
Jun 17, 2022 | $1.87 | $1.95 | $1.85 | $1.91 | 365 433 |
Jun 16, 2022 | $1.95 | $1.97 | $1.83 | $1.88 | 399 744 |
Jun 15, 2022 | $1.96 | $2.06 | $1.94 | $2.04 | 403 558 |
Jun 14, 2022 | $2.01 | $2.07 | $1.92 | $1.95 | 273 223 |
Jun 13, 2022 | $2.05 | $2.05 | $1.98 | $2.02 | 315 229 |
Jun 10, 2022 | $2.14 | $2.15 | $2.04 | $2.09 | 304 774 |
Jun 09, 2022 | $2.16 | $2.28 | $2.12 | $2.18 | 459 569 |
Jun 08, 2022 | $2.17 | $2.19 | $2.12 | $2.18 | 232 099 |
Jun 07, 2022 | $2.14 | $2.28 | $2.11 | $2.19 | 804 944 |
Jun 06, 2022 | $2.12 | $2.21 | $2.04 | $2.18 | 447 073 |
Jun 03, 2022 | $2.16 | $2.20 | $2.09 | $2.12 | 490 411 |
Jun 02, 2022 | $2.16 | $2.27 | $2.10 | $2.21 | 990 080 |
Jun 01, 2022 | $1.93 | $1.99 | $1.84 | $1.94 | 697 196 |
May 31, 2022 | $1.75 | $1.96 | $1.74 | $1.93 | 597 155 |
May 27, 2022 | $1.72 | $1.77 | $1.69 | $1.75 | 422 021 |
May 26, 2022 | $1.66 | $1.75 | $1.66 | $1.71 | 234 131 |
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 SCOR stock historical prices to predict future price movements?
Trend Analysis: Examine the SCOR 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 SCOR 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.