NYSEARCA:WEAT
Wheat ETF Price (Quote)
$6.42
+0.0100 (+0.156%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.61 | $6.47 | Friday, 24th May 2024 WEAT stock ended at $6.42. This is 0.156% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 1.73% from a day low at $6.35 to a day high of $6.46. |
90 days | $5.02 | $6.47 | |
52 weeks | $5.02 | $7.44 |
Date | Open | High | Low | Close | Volume |
Apr 19, 2024 | $5.25 | $5.34 | $5.25 | $5.34 | 510 702 |
Apr 18, 2024 | $5.19 | $5.26 | $5.19 | $5.20 | 235 603 |
Apr 17, 2024 | $5.31 | $5.35 | $5.18 | $5.21 | 656 802 |
Apr 16, 2024 | $5.31 | $5.32 | $5.24 | $5.30 | 360 646 |
Apr 15, 2024 | $5.30 | $5.33 | $5.26 | $5.31 | 522 345 |
Apr 12, 2024 | $5.32 | $5.40 | $5.32 | $5.35 | 690 032 |
Apr 11, 2024 | $5.38 | $5.38 | $5.31 | $5.31 | 593 518 |
Apr 10, 2024 | $5.40 | $5.43 | $5.36 | $5.39 | 459 172 |
Apr 09, 2024 | $5.39 | $5.43 | $5.35 | $5.39 | 694 019 |
Apr 08, 2024 | $5.49 | $5.51 | $5.43 | $5.46 | 588 011 |
Apr 05, 2024 | $5.47 | $5.52 | $5.44 | $5.46 | 793 193 |
Apr 04, 2024 | $5.37 | $5.41 | $5.32 | $5.38 | 540 016 |
Apr 03, 2024 | $5.30 | $5.40 | $5.30 | $5.37 | 407 179 |
Apr 02, 2024 | $5.35 | $5.41 | $5.27 | $5.29 | 612 414 |
Apr 01, 2024 | $5.40 | $5.40 | $5.27 | $5.38 | 506 478 |
Mar 28, 2024 | $5.30 | $5.46 | $5.27 | $5.41 | 803 609 |
Mar 27, 2024 | $5.25 | $5.31 | $5.24 | $5.31 | 2 598 123 |
Mar 26, 2024 | $5.32 | $5.34 | $5.25 | $5.26 | 343 368 |
Mar 25, 2024 | $5.40 | $5.44 | $5.30 | $5.36 | 592 656 |
Mar 22, 2024 | $5.25 | $5.36 | $5.20 | $5.33 | 693 289 |
Mar 21, 2024 | $5.27 | $5.30 | $5.20 | $5.26 | 611 400 |
Mar 20, 2024 | $5.25 | $5.26 | $5.17 | $5.25 | 539 067 |
Mar 19, 2024 | $5.26 | $5.31 | $5.22 | $5.30 | 647 548 |
Mar 18, 2024 | $5.15 | $5.22 | $5.10 | $5.22 | 624 575 |
Mar 15, 2024 | $5.15 | $5.15 | $5.08 | $5.10 | 325 145 |
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 WEAT stock historical prices to predict future price movements?
Trend Analysis: Examine the WEAT 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 WEAT 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.