NASDAQ:CIDM
Delisted
Cinedigm Corp Stock Price (Quote)
$0.295
+0 (+0%)
At Close: Aug 21, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.295 | $0.295 | Monday, 21st Aug 2023 CIDM stock ended at $0.295. During the day the stock fluctuated 0% from a day low at $0.295 to a day high of $0.295. |
90 days | $0.295 | $0.295 | |
52 weeks | $0.273 | $0.650 |
Date | Open | High | Low | Close | Volume |
May 07, 2021 | $1.25 | $1.33 | $1.22 | $1.23 | 67 713 987 |
May 06, 2021 | $1.21 | $1.26 | $1.19 | $1.22 | 33 476 747 |
May 05, 2021 | $1.30 | $1.32 | $1.21 | $1.21 | 30 234 640 |
May 04, 2021 | $1.25 | $1.33 | $1.21 | $1.31 | 27 120 938 |
May 03, 2021 | $1.43 | $1.43 | $1.29 | $1.29 | 40 223 020 |
Apr 30, 2021 | $1.46 | $1.54 | $1.43 | $1.44 | 65 742 275 |
Apr 29, 2021 | $1.52 | $1.55 | $1.44 | $1.48 | 54 979 067 |
Apr 28, 2021 | $1.51 | $1.58 | $1.48 | $1.51 | 57 315 916 |
Apr 27, 2021 | $1.48 | $1.58 | $1.41 | $1.52 | 72 244 844 |
Apr 26, 2021 | $1.33 | $1.60 | $1.32 | $1.48 | 86 135 554 |
Apr 23, 2021 | $1.23 | $1.39 | $1.21 | $1.36 | 41 957 192 |
Apr 22, 2021 | $1.26 | $1.34 | $1.21 | $1.25 | 23 436 881 |
Apr 21, 2021 | $1.15 | $1.30 | $1.11 | $1.30 | 18 620 973 |
Apr 20, 2021 | $1.23 | $1.25 | $1.15 | $1.17 | 16 799 980 |
Apr 19, 2021 | $1.21 | $1.32 | $1.15 | $1.26 | 30 889 920 |
Apr 16, 2021 | $1.16 | $1.30 | $1.10 | $1.22 | 17 008 726 |
Apr 15, 2021 | $1.27 | $1.29 | $1.15 | $1.18 | 15 925 780 |
Apr 14, 2021 | $1.22 | $1.47 | $1.19 | $1.24 | 91 938 023 |
Apr 13, 2021 | $1.18 | $1.22 | $1.10 | $1.14 | 11 273 912 |
Apr 12, 2021 | $1.22 | $1.26 | $1.16 | $1.21 | 8 861 461 |
Apr 09, 2021 | $1.33 | $1.35 | $1.16 | $1.23 | 32 724 681 |
Apr 08, 2021 | $1.35 | $1.39 | $1.31 | $1.39 | 7 190 614 |
Apr 07, 2021 | $1.39 | $1.43 | $1.33 | $1.36 | 10 276 242 |
Apr 06, 2021 | $1.47 | $1.48 | $1.41 | $1.43 | 11 415 425 |
Apr 05, 2021 | $1.58 | $1.60 | $1.50 | $1.51 | 14 070 395 |
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 CIDM stock historical prices to predict future price movements?
Trend Analysis: Examine the CIDM 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 CIDM 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.