NASDAQ:NDLS
Noodles & Company Stock Price (Quote)
$1.85
+0.0400 (+2.22%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.22 | $2.36 | Friday, 24th May 2024 NDLS stock ended at $1.85. This is 2.22% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 4.95% from a day low at $1.82 to a day high of $1.91. |
90 days | $1.11 | $2.60 | |
52 weeks | $1.11 | $3.98 |
Date | Open | High | Low | Close | Volume |
May 24, 2024 | $1.90 | $1.91 | $1.82 | $1.85 | 92 244 |
May 23, 2024 | $2.01 | $2.04 | $1.78 | $1.81 | 272 098 |
May 22, 2024 | $2.07 | $2.08 | $1.97 | $1.99 | 93 193 |
May 21, 2024 | $2.11 | $2.13 | $2.01 | $2.05 | 87 600 |
May 20, 2024 | $2.08 | $2.17 | $2.05 | $2.11 | 163 556 |
May 17, 2024 | $2.13 | $2.23 | $2.08 | $2.09 | 159 538 |
May 16, 2024 | $2.16 | $2.21 | $2.10 | $2.11 | 162 046 |
May 15, 2024 | $2.30 | $2.35 | $2.13 | $2.15 | 283 551 |
May 14, 2024 | $2.13 | $2.36 | $2.08 | $2.32 | 401 277 |
May 13, 2024 | $2.07 | $2.15 | $1.97 | $2.12 | 351 771 |
May 10, 2024 | $2.18 | $2.25 | $2.01 | $2.07 | 243 144 |
May 09, 2024 | $1.77 | $2.18 | $1.72 | $2.15 | 778 146 |
May 08, 2024 | $1.76 | $1.82 | $1.66 | $1.73 | 188 220 |
May 07, 2024 | $1.73 | $1.87 | $1.71 | $1.78 | 254 836 |
May 06, 2024 | $1.61 | $1.80 | $1.56 | $1.74 | 324 196 |
May 03, 2024 | $1.55 | $1.63 | $1.53 | $1.58 | 229 647 |
May 02, 2024 | $1.55 | $1.57 | $1.48 | $1.56 | 206 434 |
May 01, 2024 | $1.54 | $1.56 | $1.48 | $1.55 | 182 731 |
Apr 30, 2024 | $1.48 | $1.58 | $1.45 | $1.51 | 302 043 |
Apr 29, 2024 | $1.40 | $1.49 | $1.40 | $1.48 | 204 319 |
Apr 26, 2024 | $1.40 | $1.43 | $1.37 | $1.40 | 103 013 |
Apr 25, 2024 | $1.25 | $1.43 | $1.25 | $1.41 | 301 488 |
Apr 24, 2024 | $1.38 | $1.39 | $1.22 | $1.30 | 500 702 |
Apr 23, 2024 | $1.31 | $1.42 | $1.29 | $1.40 | 264 757 |
Apr 22, 2024 | $1.17 | $1.36 | $1.17 | $1.30 | 422 941 |
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 NDLS stock historical prices to predict future price movements?
Trend Analysis: Examine the NDLS 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 NDLS 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.