NYSE:CSLT
Delisted
Castlight Health inc Stock Price (Quote)
$2.05
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.05 | $2.05 | Wednesday, 20th Jul 2022 CSLT stock ended at $2.05. During the day the stock fluctuated 0% from a day low at $2.05 to a day high of $2.05. |
90 days | $2.05 | $2.05 | |
52 weeks | $1.36 | $2.40 |
Date | Open | High | Low | Close | Volume |
Aug 26, 2021 | $1.73 | $1.77 | $1.70 | $1.75 | 661 959 |
Aug 25, 2021 | $1.79 | $1.79 | $1.72 | $1.74 | 517 663 |
Aug 24, 2021 | $1.80 | $1.81 | $1.77 | $1.79 | 376 464 |
Aug 23, 2021 | $1.79 | $1.82 | $1.75 | $1.79 | 554 832 |
Aug 20, 2021 | $1.71 | $1.80 | $1.70 | $1.78 | 560 600 |
Aug 19, 2021 | $1.76 | $1.78 | $1.71 | $1.73 | 422 424 |
Aug 18, 2021 | $1.73 | $1.86 | $1.71 | $1.78 | 643 588 |
Aug 17, 2021 | $1.81 | $1.84 | $1.66 | $1.76 | 1 644 817 |
Aug 16, 2021 | $1.86 | $1.89 | $1.81 | $1.85 | 480 519 |
Aug 13, 2021 | $1.92 | $1.93 | $1.84 | $1.86 | 639 526 |
Aug 12, 2021 | $1.89 | $1.93 | $1.85 | $1.92 | 520 253 |
Aug 11, 2021 | $1.88 | $1.94 | $1.83 | $1.90 | 765 100 |
Aug 10, 2021 | $1.97 | $1.97 | $1.87 | $1.90 | 657 504 |
Aug 09, 2021 | $1.93 | $2.00 | $1.89 | $1.96 | 705 091 |
Aug 06, 2021 | $1.89 | $2.00 | $1.88 | $1.98 | 915 564 |
Aug 05, 2021 | $2.08 | $2.08 | $1.86 | $1.89 | 1 285 314 |
Aug 04, 2021 | $2.03 | $2.12 | $1.91 | $2.06 | 2 217 490 |
Aug 03, 2021 | $2.18 | $2.22 | $2.10 | $2.10 | 1 148 178 |
Aug 02, 2021 | $2.20 | $2.27 | $2.14 | $2.22 | 1 328 825 |
Jul 30, 2021 | $2.33 | $2.35 | $2.23 | $2.33 | 848 716 |
Jul 29, 2021 | $2.29 | $2.40 | $2.26 | $2.35 | 1 491 020 |
Jul 28, 2021 | $2.14 | $2.29 | $2.12 | $2.26 | 1 079 331 |
Jul 27, 2021 | $2.23 | $2.24 | $2.10 | $2.15 | 608 922 |
Jul 26, 2021 | $2.21 | $2.25 | $2.16 | $2.25 | 874 737 |
Jul 23, 2021 | $2.22 | $2.24 | $2.14 | $2.19 | 435 637 |
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 CSLT stock historical prices to predict future price movements?
Trend Analysis: Examine the CSLT 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 CSLT 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.