CRYPTO:NFAIUSD
Not Financial Advice USD Cryptocurrency Price (Quote)
$0.0218
-0.0040 (-15.46%)
At Close: Jun 02, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0158 | $0.0336 | Sunday, 2nd Jun 2024 NFAIUSD stock ended at $0.0218. This is 15.46% less than the trading day before Saturday, 1st Jun 2024. During the day the stock fluctuated 24.65% from a day low at $0.0216 to a day high of $0.0269. |
90 days | $0.0122 | $0.0907 | |
52 weeks | $0.0004 | $0.200 |
Historical Not Financial Advice USD prices
Date | Open | High | Low | Close | Volume |
Feb 07, 2023 | $0.140 | $0.160 | $0.120 | $0.137 | 1 169 128 |
Feb 06, 2023 | $0.137 | $0.146 | $0.115 | $0.140 | 644 238 |
Feb 05, 2023 | $0.0828 | $0.129 | $0.0811 | $0.126 | 959 370 |
Feb 04, 2023 | $0.0775 | $0.0882 | $0.0740 | $0.0827 | 117 287 |
Feb 03, 2023 | $0.0715 | $0.0942 | $0.0666 | $0.0775 | 478 956 |
Feb 02, 2023 | $0.0744 | $0.0824 | $0.0566 | $0.0659 | 773 715 |
Feb 01, 2023 | $0.0592 | $0.0805 | $0.0518 | $0.0744 | 429 098 |
Jan 31, 2023 | $0.0591 | $0.0672 | $0.0564 | $0.0592 | 180 422 |
Jan 30, 2023 | $0.0695 | $0.0705 | $0.0554 | $0.0591 | 481 614 |
Jan 29, 2023 | $0.0408 | $0.0773 | $0.0408 | $0.0695 | 663 866 |
Jan 28, 2023 | $0.0398 | $0.0461 | $0.0368 | $0.0408 | 167 808 |
Jan 27, 2023 | $0.0399 | $0.0521 | $0.0365 | $0.0397 | 186 144 |
Jan 26, 2023 | $0.0384 | $0.0456 | $0.0310 | $0.0399 | 245 570 |
Jan 25, 2023 | $0.0387 | $0.0447 | $0.0338 | $0.0384 | 268 661 |
Jan 24, 2023 | $0.0409 | $0.0466 | $0.0357 | $0.0387 | 328 100 |
Jan 23, 2023 | $0.0508 | $0.0556 | $0.0406 | $0.0410 | 325 530 |
Jan 22, 2023 | $0.0390 | $0.0529 | $0.0373 | $0.0508 | 288 561 |
Jan 21, 2023 | $0.0462 | $0.0509 | $0.0359 | $0.0390 | 325 438 |
Jan 20, 2023 | $0.0263 | $0.0544 | $0.0263 | $0.0467 | 455 667 |
Jan 19, 2023 | $0.0297 | $0.0357 | $0.0243 | $0.0263 | 375 150 |
Jan 18, 2023 | $0.0160 | $0.0437 | $0.0158 | $0.0296 | 1 104 688 |
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 NFAIUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the NFAIUSD 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 NFAIUSD 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.