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 |
Historical Castlight Health inc prices
Date | Open | High | Low | Close | Volume |
Dec 23, 2016 | $5.30 | $5.45 | $5.30 | $5.45 | 146 712 |
Dec 22, 2016 | $5.30 | $5.35 | $5.15 | $5.30 | 277 150 |
Dec 21, 2016 | $5.05 | $5.25 | $5.05 | $5.20 | 348 090 |
Dec 20, 2016 | $4.95 | $5.10 | $4.88 | $5.10 | 452 953 |
Dec 19, 2016 | $4.80 | $4.90 | $4.65 | $4.85 | 110 364 |
Dec 16, 2016 | $4.70 | $4.90 | $4.65 | $4.75 | 364 855 |
Dec 15, 2016 | $4.60 | $4.75 | $4.55 | $4.65 | 245 852 |
Dec 14, 2016 | $4.60 | $4.75 | $4.50 | $4.65 | 349 025 |
Dec 13, 2016 | $4.65 | $4.65 | $4.50 | $4.65 | 199 718 |
Dec 12, 2016 | $4.60 | $4.65 | $4.43 | $4.60 | 184 624 |
Dec 09, 2016 | $4.65 | $4.65 | $4.50 | $4.65 | 122 532 |
Dec 08, 2016 | $4.65 | $4.65 | $4.45 | $4.65 | 175 784 |
Dec 07, 2016 | $4.60 | $4.65 | $4.55 | $4.65 | 84 662 |
Dec 06, 2016 | $4.55 | $4.65 | $4.30 | $4.60 | 173 928 |
Dec 05, 2016 | $4.15 | $4.50 | $4.15 | $4.45 | 167 203 |
Dec 02, 2016 | $4.35 | $4.40 | $4.15 | $4.20 | 287 911 |
Dec 01, 2016 | $4.65 | $4.65 | $4.25 | $4.35 | 373 526 |
Nov 30, 2016 | $4.65 | $4.80 | $4.50 | $4.65 | 363 297 |
Nov 29, 2016 | $4.90 | $5.00 | $4.60 | $4.60 | 216 080 |
Nov 28, 2016 | $5.00 | $5.00 | $4.81 | $4.95 | 156 412 |
Nov 25, 2016 | $5.00 | $5.05 | $4.85 | $5.00 | 116 536 |
Nov 23, 2016 | $4.85 | $5.12 | $4.85 | $5.05 | 273 379 |
Nov 22, 2016 | $4.80 | $5.00 | $4.70 | $4.95 | 337 052 |
Nov 21, 2016 | $4.90 | $4.90 | $4.75 | $4.85 | 146 163 |
Nov 18, 2016 | $4.95 | $5.10 | $4.68 | $4.75 | 267 542 |
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.