NYSE:NWY
Delisted
New York & Company Inc Fund Price (Quote)
$0.253
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.253 | $0.253 | Friday, 4th Sep 2020 NWY stock ended at $0.253. During the day the stock fluctuated 0% from a day low at $0.253 to a day high of $0.253. |
90 days | $0.190 | $0.440 | |
52 weeks | $0.141 | $1.77 |
Historical New York & Company Inc prices
Date | Open | High | Low | Close | Volume |
Feb 03, 2020 | $0.390 | $0.408 | $0.371 | $0.382 | 232 010 |
Jan 31, 2020 | $0.407 | $0.430 | $0.390 | $0.395 | 267 915 |
Jan 30, 2020 | $0.428 | $0.428 | $0.380 | $0.392 | 189 773 |
Jan 29, 2020 | $0.400 | $0.449 | $0.400 | $0.414 | 253 202 |
Jan 28, 2020 | $0.408 | $0.430 | $0.380 | $0.402 | 232 326 |
Jan 27, 2020 | $0.444 | $0.480 | $0.370 | $0.408 | 391 514 |
Jan 24, 2020 | $0.499 | $0.500 | $0.450 | $0.462 | 363 017 |
Jan 23, 2020 | $0.541 | $0.570 | $0.478 | $0.480 | 118 173 |
Jan 22, 2020 | $0.518 | $0.563 | $0.518 | $0.520 | 129 528 |
Jan 21, 2020 | $0.602 | $0.615 | $0.530 | $0.539 | 187 745 |
Jan 17, 2020 | $0.631 | $0.633 | $0.575 | $0.597 | 78 465 |
Jan 16, 2020 | $0.597 | $0.637 | $0.597 | $0.607 | 116 250 |
Jan 15, 2020 | $0.620 | $0.697 | $0.590 | $0.611 | 136 266 |
Jan 14, 2020 | $0.600 | $0.620 | $0.550 | $0.613 | 321 027 |
Jan 13, 2020 | $0.749 | $0.749 | $0.585 | $0.590 | 356 259 |
Jan 10, 2020 | $0.86 | $0.86 | $0.780 | $0.780 | 42 111 |
Jan 09, 2020 | $0.84 | $0.86 | $0.750 | $0.84 | 447 818 |
Jan 08, 2020 | $0.90 | $0.91 | $0.83 | $0.84 | 70 935 |
Jan 07, 2020 | $0.89 | $0.90 | $0.88 | $0.88 | 53 921 |
Jan 06, 2020 | $0.88 | $0.91 | $0.86 | $0.88 | 168 666 |
Jan 03, 2020 | $0.88 | $0.95 | $0.84 | $0.88 | 90 898 |
Jan 02, 2020 | $0.81 | $0.89 | $0.81 | $0.86 | 200 033 |
Dec 31, 2019 | $0.82 | $0.87 | $0.80 | $0.80 | 90 412 |
Dec 30, 2019 | $0.787 | $0.86 | $0.787 | $0.80 | 258 880 |
Dec 27, 2019 | $0.742 | $0.80 | $0.742 | $0.787 | 114 661 |
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 NWY stock historical prices to predict future price movements?
Trend Analysis: Examine the NWY 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 NWY 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.