NASDAQ:NFEC
Delisted
NF Energy Saving Corporation Fund Price (Quote)
$1.13
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.13 | $1.13 | Wednesday, 20th Jul 2022 NFEC stock ended at $1.13. During the day the stock fluctuated 0% from a day low at $1.13 to a day high of $1.13. |
90 days | $1.13 | $1.13 | |
52 weeks | $0.303 | $2.67 |
Date | Open | High | Low | Close | Volume |
Jul 22, 2021 | $1.13 | $1.16 | $1.11 | $1.12 | 48 975 |
Jul 21, 2021 | $1.09 | $1.12 | $1.07 | $1.12 | 108 377 |
Jul 20, 2021 | $1.05 | $1.09 | $1.05 | $1.07 | 75 045 |
Jul 19, 2021 | $1.07 | $1.10 | $1.03 | $1.06 | 379 146 |
Jul 16, 2021 | $1.14 | $1.20 | $1.10 | $1.11 | 404 919 |
Jul 15, 2021 | $1.13 | $1.13 | $1.09 | $1.11 | 143 762 |
Jul 14, 2021 | $1.17 | $1.18 | $1.12 | $1.12 | 149 947 |
Jul 13, 2021 | $1.20 | $1.21 | $1.16 | $1.17 | 158 827 |
Jul 12, 2021 | $1.22 | $1.23 | $1.19 | $1.21 | 160 511 |
Jul 09, 2021 | $1.16 | $1.25 | $1.16 | $1.22 | 306 382 |
Jul 08, 2021 | $1.15 | $1.19 | $1.10 | $1.17 | 199 664 |
Jul 07, 2021 | $1.25 | $1.25 | $1.19 | $1.20 | 236 802 |
Jul 06, 2021 | $1.26 | $1.29 | $1.24 | $1.27 | 164 151 |
Jul 02, 2021 | $1.30 | $1.31 | $1.25 | $1.29 | 189 145 |
Jul 01, 2021 | $1.36 | $1.40 | $1.30 | $1.31 | 179 583 |
Jun 30, 2021 | $1.38 | $1.38 | $1.29 | $1.34 | 333 432 |
Jun 29, 2021 | $1.25 | $1.37 | $1.25 | $1.35 | 1 309 285 |
Jun 28, 2021 | $1.23 | $1.28 | $1.22 | $1.27 | 306 911 |
Jun 25, 2021 | $1.19 | $1.24 | $1.19 | $1.23 | 571 506 |
Jun 24, 2021 | $1.21 | $1.21 | $1.15 | $1.20 | 1 256 036 |
Jun 23, 2021 | $1.20 | $1.21 | $1.17 | $1.17 | 292 314 |
Jun 22, 2021 | $1.21 | $1.21 | $1.16 | $1.16 | 377 941 |
Jun 21, 2021 | $1.23 | $1.25 | $1.16 | $1.23 | 705 011 |
Jun 18, 2021 | $1.27 | $1.27 | $1.19 | $1.19 | 281 898 |
Jun 17, 2021 | $1.40 | $1.41 | $1.25 | $1.27 | 411 566 |
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 NFEC stock historical prices to predict future price movements?
Trend Analysis: Examine the NFEC 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 NFEC 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.