NASDAQ:NCMI
National CineMedia Stock Price (Quote)
$4.95
+0.0400 (+0.81%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.23 | $5.03 | Tuesday, 21st May 2024 NCMI stock ended at $4.95. This is 0.81% more than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 3.64% from a day low at $4.81 to a day high of $4.99. |
90 days | $3.71 | $5.75 | |
52 weeks | $2.57 | $5.75 |
Date | Open | High | Low | Close | Volume |
Dec 27, 2023 | $4.25 | $4.54 | $4.07 | $4.38 | 742 930 |
Dec 26, 2023 | $4.35 | $4.43 | $4.24 | $4.26 | 315 764 |
Dec 22, 2023 | $4.06 | $4.36 | $4.00 | $4.27 | 1 001 391 |
Dec 21, 2023 | $3.89 | $4.03 | $3.85 | $4.03 | 281 720 |
Dec 20, 2023 | $3.95 | $4.00 | $3.82 | $3.85 | 413 072 |
Dec 19, 2023 | $4.02 | $4.03 | $3.64 | $3.95 | 602 339 |
Dec 18, 2023 | $4.00 | $4.19 | $3.97 | $4.00 | 456 099 |
Dec 15, 2023 | $3.87 | $4.00 | $3.79 | $3.98 | 511 824 |
Dec 14, 2023 | $4.07 | $4.18 | $3.82 | $3.87 | 546 818 |
Dec 13, 2023 | $4.07 | $4.10 | $3.96 | $4.05 | 365 404 |
Dec 12, 2023 | $4.10 | $4.12 | $4.00 | $4.08 | 408 333 |
Dec 11, 2023 | $4.15 | $4.18 | $4.06 | $4.12 | 372 090 |
Dec 08, 2023 | $3.99 | $4.25 | $3.99 | $4.15 | 480 545 |
Dec 07, 2023 | $3.93 | $4.00 | $3.90 | $3.98 | 196 708 |
Dec 06, 2023 | $3.88 | $3.99 | $3.86 | $3.90 | 254 103 |
Dec 05, 2023 | $3.86 | $3.88 | $3.80 | $3.85 | 205 642 |
Dec 04, 2023 | $3.94 | $3.98 | $3.79 | $3.91 | 268 788 |
Dec 01, 2023 | $4.03 | $4.03 | $3.87 | $3.95 | 369 306 |
Nov 30, 2023 | $4.37 | $4.40 | $4.03 | $4.06 | 432 594 |
Nov 29, 2023 | $4.30 | $4.40 | $4.22 | $4.31 | 464 632 |
Nov 28, 2023 | $4.25 | $4.31 | $4.17 | $4.26 | 749 961 |
Nov 27, 2023 | $4.26 | $4.27 | $4.03 | $4.26 | 497 343 |
Nov 24, 2023 | $4.10 | $4.32 | $4.09 | $4.27 | 241 416 |
Nov 22, 2023 | $4.16 | $4.24 | $4.12 | $4.17 | 247 651 |
Nov 21, 2023 | $4.09 | $4.18 | $4.03 | $4.14 | 216 397 |
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 NCMI stock historical prices to predict future price movements?
Trend Analysis: Examine the NCMI 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 NCMI 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.