NYSEARCA:WEAT
Wheat ETF Price (Quote)
$6.41
+0.0300 (+0.470%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.48 | $6.47 | Thursday, 23rd May 2024 WEAT stock ended at $6.41. This is 0.470% more than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 1.42% from a day low at $6.35 to a day high of $6.44. |
90 days | $5.02 | $6.47 | |
52 weeks | $5.02 | $7.44 |
Date | Open | High | Low | Close | Volume |
Jul 03, 2023 | $6.42 | $6.52 | $6.39 | $6.44 | 589 403 |
Jun 30, 2023 | $6.63 | $6.70 | $6.42 | $6.44 | 1 748 413 |
Jun 29, 2023 | $6.60 | $6.69 | $6.58 | $6.59 | 741 281 |
Jun 28, 2023 | $6.74 | $6.74 | $6.59 | $6.60 | 2 033 010 |
Jun 27, 2023 | $7.02 | $7.04 | $6.83 | $6.86 | 1 581 666 |
Jun 26, 2023 | $7.37 | $7.44 | $7.18 | $7.21 | 1 162 600 |
Jun 23, 2023 | $7.19 | $7.27 | $7.14 | $7.23 | 1 299 678 |
Jun 22, 2023 | $7.20 | $7.40 | $7.18 | $7.33 | 1 515 839 |
Jun 21, 2023 | $7.03 | $7.30 | $7.03 | $7.30 | 1 709 495 |
Jun 20, 2023 | $6.85 | $6.98 | $6.80 | $6.96 | 1 184 363 |
Jun 16, 2023 | $6.74 | $6.95 | $6.74 | $6.86 | 2 367 941 |
Jun 15, 2023 | $6.43 | $6.66 | $6.43 | $6.65 | 1 052 316 |
Jun 14, 2023 | $6.35 | $6.39 | $6.32 | $6.35 | 606 955 |
Jun 13, 2023 | $6.45 | $6.54 | $6.39 | $6.43 | 1 189 610 |
Jun 12, 2023 | $6.39 | $6.44 | $6.34 | $6.42 | 461 095 |
Jun 09, 2023 | $6.35 | $6.38 | $6.27 | $6.38 | 376 241 |
Jun 08, 2023 | $6.30 | $6.36 | $6.26 | $6.36 | 641 061 |
Jun 07, 2023 | $6.40 | $6.40 | $6.22 | $6.24 | 930 707 |
Jun 06, 2023 | $6.47 | $6.47 | $6.31 | $6.37 | 656 846 |
Jun 05, 2023 | $6.30 | $6.39 | $6.27 | $6.34 | 425 665 |
Jun 02, 2023 | $6.22 | $6.34 | $6.15 | $6.32 | 401 984 |
Jun 01, 2023 | $6.17 | $6.25 | $6.15 | $6.22 | 641 445 |
May 31, 2023 | $5.91 | $6.07 | $5.88 | $6.06 | 936 858 |
May 30, 2023 | $6.12 | $6.14 | $6.01 | $6.04 | 701 467 |
May 26, 2023 | $6.25 | $6.26 | $6.16 | $6.26 | 378 947 |
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.