CRYPTO:MIOTAUSD
IOTA / Dollar Cryptocurrency Price (Quote)
$0.217
-0.0011 (-0.513%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.199 | $0.236 | Friday, 31st May 2024 MIOTAUSD stock ended at $0.217. This is 0.513% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.74% from a day low at $0.213 to a day high of $0.221. |
90 days | $0.198 | $0.418 | |
52 weeks | $0.136 | $0.418 |
Historical IOTA / Dollar prices
Date | Open | High | Low | Close | Volume |
Sep 15, 2017 | $0.449 | $0.513 | $0.370 | $0.480 | 32 174 256 |
Sep 14, 2017 | $0.561 | $0.576 | $0.441 | $0.449 | 23 728 451 |
Sep 13, 2017 | $0.592 | $0.598 | $0.471 | $0.561 | 22 654 032 |
Sep 12, 2017 | $0.563 | $0.650 | $0.541 | $0.592 | 34 890 238 |
Sep 11, 2017 | $0.499 | $0.569 | $0.479 | $0.563 | 13 731 838 |
Sep 10, 2017 | $0.559 | $0.569 | $0.459 | $0.499 | 24 813 147 |
Sep 09, 2017 | $0.537 | $0.584 | $0.518 | $0.559 | 10 289 183 |
Sep 08, 2017 | $0.648 | $0.660 | $0.479 | $0.537 | 33 374 603 |
Sep 07, 2017 | $0.739 | $0.740 | $0.614 | $0.648 | 20 523 395 |
Sep 06, 2017 | $0.613 | $0.749 | $0.592 | $0.739 | 19 935 929 |
Sep 05, 2017 | $0.548 | $0.650 | $0.455 | $0.613 | 28 222 356 |
Sep 04, 2017 | $0.742 | $0.744 | $0.363 | $0.548 | 54 618 042 |
Sep 03, 2017 | $0.692 | $0.777 | $0.666 | $0.742 | 19 943 218 |
Sep 02, 2017 | $0.793 | $0.800 | $0.640 | $0.692 | 24 754 846 |
Sep 01, 2017 | $0.84 | $0.88 | $0.771 | $0.793 | 16 395 352 |
Aug 31, 2017 | $0.87 | $0.90 | $0.82 | $0.84 | 9 170 132 |
Aug 30, 2017 | $0.81 | $0.88 | $0.784 | $0.87 | 9 937 743 |
Aug 29, 2017 | $0.87 | $0.88 | $0.705 | $0.81 | 15 007 895 |
Aug 28, 2017 | $0.92 | $0.93 | $0.780 | $0.87 | 11 772 011 |
Aug 27, 2017 | $0.96 | $0.98 | $0.88 | $0.92 | 8 671 763 |
Aug 26, 2017 | $0.92 | $0.97 | $0.88 | $0.96 | 9 399 473 |
Aug 25, 2017 | $0.89 | $0.93 | $0.84 | $0.92 | 11 436 766 |
Aug 24, 2017 | $0.85 | $0.89 | $0.796 | $0.89 | 8 478 289 |
Aug 23, 2017 | $0.84 | $0.94 | $0.83 | $0.85 | 15 372 233 |
Aug 22, 2017 | $0.90 | $0.90 | $0.778 | $0.84 | 15 961 001 |
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 MIOTAUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the MIOTAUSD 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 MIOTAUSD 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.