NASDAQ:CSCW
Delisted
Color Star Technology Co. Ltd. Stock Price (Quote)
$1.08
+0 (+0%)
At Close: Mar 29, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.08 | $1.08 | Wednesday, 29th Mar 2023 CSCW stock ended at $1.08. During the day the stock fluctuated 0% from a day low at $1.08 to a day high of $1.08. |
90 days | $0.730 | $1.08 | |
52 weeks | $0.650 | $10.06 |
Historical Color Star Technology Co. Ltd. prices
Date | Open | High | Low | Close | Volume |
Mar 30, 2022 | $10.04 | $10.06 | $8.92 | $9.15 | 509 251 |
Mar 29, 2022 | $9.02 | $10.10 | $9.02 | $9.56 | 516 810 |
Mar 28, 2022 | $9.20 | $9.36 | $8.94 | $9.06 | 95 033 |
Mar 25, 2022 | $9.88 | $9.90 | $9.00 | $9.21 | 167 027 |
Mar 24, 2022 | $9.81 | $10.28 | $9.61 | $9.88 | 186 546 |
Mar 23, 2022 | $9.83 | $10.06 | $9.40 | $9.81 | 189 911 |
Mar 22, 2022 | $9.60 | $10.16 | $9.60 | $9.76 | 170 131 |
Mar 21, 2022 | $9.96 | $10.40 | $9.31 | $9.46 | 231 819 |
Mar 18, 2022 | $9.82 | $11.00 | $9.46 | $10.66 | 754 341 |
Mar 17, 2022 | $8.95 | $10.08 | $8.82 | $9.83 | 246 839 |
Mar 16, 2022 | $8.80 | $9.35 | $8.47 | $9.18 | 198 008 |
Mar 15, 2022 | $8.74 | $8.74 | $8.24 | $8.58 | 81 365 |
Mar 14, 2022 | $9.35 | $9.35 | $8.21 | $8.56 | 132 434 |
Mar 11, 2022 | $8.52 | $9.56 | $8.04 | $9.40 | 394 873 |
Mar 10, 2022 | $8.30 | $8.72 | $8.25 | $8.48 | 112 973 |
Mar 09, 2022 | $9.20 | $9.20 | $8.64 | $8.95 | 102 805 |
Mar 08, 2022 | $8.10 | $9.00 | $8.00 | $8.53 | 173 381 |
Mar 07, 2022 | $8.40 | $9.19 | $8.16 | $8.84 | 383 375 |
Mar 04, 2022 | $9.46 | $9.60 | $7.83 | $7.98 | 499 632 |
Mar 03, 2022 | $10.00 | $10.14 | $9.28 | $9.64 | 246 731 |
Mar 02, 2022 | $9.39 | $10.70 | $9.16 | $9.84 | 1 239 060 |
Mar 01, 2022 | $9.50 | $9.63 | $8.74 | $9.20 | 252 191 |
Feb 28, 2022 | $9.12 | $9.50 | $8.63 | $9.45 | 147 863 |
Feb 25, 2022 | $9.58 | $9.60 | $8.80 | $9.35 | 143 627 |
Feb 24, 2022 | $8.12 | $9.20 | $7.60 | $9.17 | 256 890 |
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 CSCW stock historical prices to predict future price movements?
Trend Analysis: Examine the CSCW 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 CSCW 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.