NYSE:LAW
CS Disco, Inc. Stock Price (Quote)
$6.37
-0.600 (-8.61%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.94 | $8.20 | Friday, 17th May 2024 LAW stock ended at $6.37. This is 8.61% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 7.26% from a day low at $6.34 to a day high of $6.80. |
90 days | $5.94 | $8.57 | |
52 weeks | $5.07 | $10.77 |
Date | Open | High | Low | Close | Volume |
Apr 14, 2023 | $6.02 | $6.23 | $6.00 | $6.19 | 155 539 |
Apr 13, 2023 | $6.05 | $6.32 | $6.06 | $6.13 | 144 380 |
Apr 12, 2023 | $6.17 | $6.25 | $5.94 | $6.01 | 217 883 |
Apr 11, 2023 | $6.13 | $6.24 | $6.01 | $6.06 | 122 694 |
Apr 10, 2023 | $5.95 | $6.19 | $5.90 | $6.16 | 276 297 |
Apr 06, 2023 | $5.92 | $6.10 | $5.78 | $5.98 | 319 270 |
Apr 05, 2023 | $6.26 | $6.26 | $5.92 | $6.05 | 231 225 |
Apr 04, 2023 | $6.46 | $6.52 | $6.29 | $6.36 | 172 754 |
Apr 03, 2023 | $6.50 | $6.66 | $6.35 | $6.44 | 268 312 |
Mar 31, 2023 | $6.34 | $6.68 | $6.27 | $6.64 | 261 164 |
Mar 30, 2023 | $6.48 | $6.57 | $6.31 | $6.31 | 177 586 |
Mar 29, 2023 | $6.17 | $6.31 | $6.10 | $6.30 | 1 008 830 |
Mar 28, 2023 | $5.92 | $6.09 | $5.82 | $6.07 | 239 564 |
Mar 27, 2023 | $6.20 | $6.20 | $5.86 | $5.96 | 353 280 |
Mar 24, 2023 | $6.17 | $6.26 | $6.08 | $6.18 | 164 516 |
Mar 23, 2023 | $6.25 | $6.50 | $6.18 | $6.23 | 262 566 |
Mar 22, 2023 | $6.40 | $6.43 | $6.13 | $6.15 | 387 295 |
Mar 21, 2023 | $6.20 | $6.46 | $6.17 | $6.40 | 308 527 |
Mar 20, 2023 | $6.35 | $6.39 | $6.11 | $6.15 | 523 019 |
Mar 17, 2023 | $6.57 | $6.63 | $6.27 | $6.36 | 333 134 |
Mar 16, 2023 | $6.41 | $6.72 | $6.23 | $6.57 | 438 077 |
Mar 15, 2023 | $6.02 | $6.49 | $6.00 | $6.43 | 746 649 |
Mar 14, 2023 | $6.41 | $6.65 | $6.11 | $6.23 | 638 834 |
Mar 13, 2023 | $5.99 | $6.43 | $5.98 | $6.18 | 524 556 |
Mar 10, 2023 | $6.32 | $6.43 | $5.99 | $6.05 | 486 463 |
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 LAW stock historical prices to predict future price movements?
Trend Analysis: Examine the LAW 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 LAW 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.