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QRAFT AI-Enhanced U.S. Large Cap ETF Price (Quote)

$41.35
+0.0500 (+0.121%)
At Close: Jun 27, 2024

Range Low Price High Price Comment
30 days $38.31 $42.34 Thursday, 27th Jun 2024 AMOM stock ended at $41.35. This is 0.121% more than the trading day before Wednesday, 26th Jun 2024. During the day the stock fluctuated 0.632% from a day low at $41.11 to a day high of $41.37.
90 days $34.93 $42.34
52 weeks $28.30 $42.34

Historical QRAFT AI-Enhanced U.S. Large Cap Momentum ETF prices

Date Open High Low Close Volume
Jun 27, 2024 $41.11 $41.37 $41.11 $41.35 1 248
Jun 26, 2024 $41.23 $41.30 $41.06 $41.30 9 074
Jun 25, 2024 $40.74 $41.23 $40.74 $41.22 1 397
Jun 24, 2024 $41.02 $41.07 $40.87 $40.87 2 166
Jun 21, 2024 $41.05 $41.38 $41.05 $41.38 4 891
Jun 20, 2024 $42.22 $42.34 $41.50 $41.50 8 191
Jun 18, 2024 $41.91 $42.09 $41.79 $42.06 5 482
Jun 17, 2024 $41.09 $41.87 $41.09 $41.77 8 700
Jun 14, 2024 $41.00 $41.11 $41.00 $41.11 2 514
Jun 13, 2024 $41.14 $41.14 $40.88 $41.09 7 386
Jun 12, 2024 $40.24 $40.73 $40.24 $40.68 7 843
Jun 11, 2024 $39.76 $39.88 $39.62 $39.88 2 828
Jun 10, 2024 $39.33 $39.91 $39.33 $39.86 3 282
Jun 07, 2024 $39.47 $39.75 $39.47 $39.61 1 196
Jun 06, 2024 $39.67 $39.74 $39.50 $39.57 3 381
Jun 05, 2024 $39.27 $39.27 $39.22 $39.22 735
Jun 04, 2024 $38.80 $38.91 $38.61 $38.89 5 367
Jun 03, 2024 $39.20 $39.20 $38.49 $38.49 6 374
May 31, 2024 $39.25 $39.25 $38.31 $38.34 3 562
May 30, 2024 $39.24 $39.29 $38.86 $38.94 1 888
May 29, 2024 $39.23 $39.53 $39.23 $39.50 2 890
May 28, 2024 $39.79 $39.79 $39.38 $39.67 3 174
May 24, 2024 $39.19 $39.52 $39.19 $39.52 565
May 23, 2024 $39.74 $39.74 $39.01 $39.01 2 536
May 22, 2024 $39.15 $39.15 $38.91 $38.99 3 306

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.

How can I use AMOM stock historical prices to predict future price movements?
Trend Analysis: Examine the AMOM 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.

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.

Why do the AMOM 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.
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About QRAFT AI-Enhanced U.S. Large Cap Momentum ETF

The fund is an actively-managed ETF that seeks to achieve its investment objective by utilizing an investment strategy enhanced by the use of artificial intelligence. The fund invests at least 80% of its net assets, plus the amounts of any borrowings for investment purposes, in securities of U.S.-listed large capitalization companies. The Adviser consults a database generated by Qraft's AI Quantitative Investment System, which automatically evalu... AMOM Profile

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